ABOUT THIS EPISODE
What does it take to build a successful career in neuroscience?
In this episode of STEIN Fireside Chats, Drs. Kai Miller and Bryan Klassen sits down with Dr. Dora Hermes (Mayo Clinic) and Dr. Michael Breakspear (University of Newcastle, Australia) for a wide-ranging conversation about the culture of neuroscience beyond the science itself.
They discuss their unconventional journeys into neuroscience, the influence of mentors, balancing family life with scientific careers, creating supportive research environments, data sharing and standardization, the growth of the Brain Imaging Data Structure (BIDS), leadership within the Organization for Human Brain Mapping (OHBM), and the evolving future of scientific publishing.
From mathematics and medicine to open science, mentorship, and global scientific collaboration, this conversation offers valuable insights for students, trainees, researchers, and anyone interested in how modern neuroscience advances through community.
Topics Covered
✅ Career paths into neuroscience
✅ Mathematics, psychology, and medicine
✅ Mentorship and lab culture
✅ Family life in academic science
✅ Data standardization and BIDS
✅ Open science and reproducibility
✅ OHBM and scientific communities
✅ Scientific publishing and journal reform
✅ Leadership in neuroscience
SHOW NOTES 🔗
TRANSCRIPT 🔗
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Welcome back to STEIN Fireside Chats from
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an undisclosed location
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in Rochester, Minnesota.
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What we'd like to talk about this time is
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a life in neuroscience
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and basically the culture
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of neuroscience sort of outside of the
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science of neuroscience.
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Even though these things can't really be
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disentangled, I think that
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it's useful to hear about the
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different roles that people have and how
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their lives have been shaped by it.
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Today we have two guests.
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We have Dr. Dora Hermes and
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we have Dr. Michael Brakespear.
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Dr. Hermes is here at Mayo Clinic and Dr.
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Brakespear is in Newcastle in Australia.
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And well, why don't actually
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you start us off Dr. Hermes?
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How did science start for you?
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How did science start for me?
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I started actually, I mean the first
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project that I did was
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actually very close to where
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you are in New Zealand.
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So for my bachelor's project
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I actually visited Auckland.
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I visited a lab there doing and I got to
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measure EEG signals for the
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first time which I thought
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was very exciting just to be able to
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measure directly from
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people's brains and then see
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how attention kind of works.
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So that's where it started.
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That's the first time
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you met a scientist?
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I mean that's the first time that I got
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to collect data which I
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think is important for
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science.
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I mean that's like when I felt I was
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actually doing science myself.
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Yeah, were there scientists in the town
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growing up that you met or
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did you ever watch scientific
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programs?
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I mean my dad was a scientist.
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But that's different.
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You kind of try to, as a teenager I just
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remember not wanting to
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do something that my father
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also did but then he's actually an
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auditory neuroscientist.
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So we're actually much
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closer than I thought.
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And what about your father's father?
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Yeah he was also a scientist.
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But that's different, right?
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I mean it's like yeah, I think doing
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science yourself versus
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seeing other people do that.
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And your mom?
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Is she a communications major?
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Well she's a biologist.
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Do you have any siblings?
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Yeah he's a...
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So you're from a family of genetically
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inherited scientists.
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Yes, yeah my brother is a physicist.
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But despite of that you still took your
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own extremely unique
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path into science and at
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times didn't think
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you'd be a scientist at all.
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Did you entertain other potential?
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So I kind of stumbled my way into science
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because I started out
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in high school really.
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Neuroscience was not
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as big of a field yet.
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And so I really didn't know that there
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were mathematical ways
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to describe brain signals
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or things like memory
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and thought and attention.
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And so I started doing math
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full time in the Netherlands.
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You can only choose a major and that's
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what you also only do
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when you go to college.
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So I started doing math.
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And then taking more courses we figured
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out that you could
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also learn about dynamical
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systems which was so fascinating that you
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could actually
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describe biological systems
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using math.
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And so doing pure theoretical math was
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very dry to me as I
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switched to doing psychology
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as a major.
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But I had two years of underground math.
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That's an important foundation.
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Yeah so I'm really happy that I took that
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path but it's kind of a roundabout way to
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go into neuroscience.
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But I wish I mean I wouldn't have done it
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any differently
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because I think the math is
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like very important of
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course as you think about it.
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You come from a physics
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background so I guess.
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Well math before physics in my case too.
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We heard from you on a different episode
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about sort of how you
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grew up but maybe you could
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tell us a little more about that.
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So before you got to university what was
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your exposure to science?
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Well my family weren't scientists so I
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come from a large Catholic
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family in Sydney Australia
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and kind of full of
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quite eccentric individuals.
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Then I grew up for a period of time in
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Canberra with my mum and my
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sisters so a single parent
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sort of life.
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And there was I think a formative
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politician called Gough
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Whitlin who came to power and
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sort of socialized or
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nationalized a lot of things.
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Territory education became
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free, public health became free.
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Importantly for my mum he revolutionized
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the family court system.
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So suddenly there was an opportunity for
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young children of single
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parent families to sort
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of dream big.
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But I'll say in Canberra as well which
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there was also a period
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of time in the 70s and 80s
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sort of being a bit of a gothic.
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And a lot of my clothes came from the
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second hand clothing
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form of the university where
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my mum was a clerk.
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So I used to lug around in the window in
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this oversized duffel coat you know.
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At that time thinking I was going to be a
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literary figure because
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I had the right duffel
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coat and I loved English.
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What were some of your
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favourite books then?
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Look my sister, older sister used to give
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me Kurt Vonnegut books.
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So I used to read a lot of Kurt Vonnegut
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books which is not bad
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for a teenager living in
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Canberra and after Kurt Vonnegut there
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was, what according to
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Garp who was that writer?
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He was a New England
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American author actually.
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An embarrassment that I don't remember.
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Do you?
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No I don't remember.
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I'd like to say there were more sort of
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classic writers that
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I was influenced with.
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It was basically the world according to
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Garp and Kurt Vonnegut
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and other books fed to me
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by my sister.
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And then you know mathematics and physics
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and chemistry were
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also very big at school.
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I spoke about before how we had a
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computing lab and my mum
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very much valued the sort of
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aptitude that I was showing in
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mathematics and really encouraged that.
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And thought that was a
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virtue so I think that was good.
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But it was a very sort of eclectic sort
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of journey to the university.
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But my other sister about my age and some
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of my cousins were the
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first to go to university
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from this sort of post war large
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distributed Catholic family.
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And that reflects all the opportunities
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and that also reflects
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what government can do
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when it values you know the social good.
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And so when I went to university it was
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full of sort of eclectic
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disheveled public school
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young people like me and not just
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privileged sort of private school
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educated young people.
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And yes we had a lot of fun.
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And before we didn't ask
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you were at Sydney University?
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I went to Sydney University yeah.
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So when I think of goth I think of you
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know I think of the
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trench coat sort of dark and
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I think of music you
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know probably the cure.
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The cure were huge back then.
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Bauhaus that kind of thing.
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This is even a goth in Canberra.
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Well this is the early 80s
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this is probably pre cure.
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But I dispensed with my goth.
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I envisioned you in like because that was
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the neon era of surfing right.
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Which is you can't get
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you can't get further.
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The duffel coat only lasted for a couple
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of years and then the
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chameleon like her person
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of it if Michael Brakes did morphed into
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sort of more of a hippie and then more of
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a sort of I don't know earnest young
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medical student perhaps.
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Yeah sure.
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So how did you decide
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to do medical school?
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Yeah I mean in the last years of high
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school we moved back to
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Sydney and I went to a sort
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of more selective high school and then I
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don't know really being
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a young person it became
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apparent that I could get into medicine
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and it looked like I
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think the good aspect of
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it is that you work with people you could
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maybe make people
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better and that appealed
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to me.
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Mathematics whilst sort of intellectually
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appealing wasn't clear what I would do as
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a mathematician.
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So the two were sort of at some stage in
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competition with each other and I
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declared to mum that
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I think now I'm going to do medicine and
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I thought she'd be
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like oh this is great I'll
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have a doctor son and she was like quite
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shocked and said that she
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thought I should stick with
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mathematics so it's where my talent lay.
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Oh that's interesting because like I when
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I had to tell my parents of course that I
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was going to switch from math to do a
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different major and so I
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was very afraid that when I
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was talking to my dad about this that he
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would say like oh now
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you're you want to do psychology
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like but he since he had all this
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background in like neuro
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biology he said like oh this
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00:09:28,601 --> 00:09:30,269
is great you can actually figure out all
276
00:09:30,269 --> 00:09:31,404
these things now using
277
00:09:31,404 --> 00:09:33,539
math so I had a completely
278
00:09:33,539 --> 00:09:35,274
like different reaction because he had
279
00:09:35,274 --> 00:09:36,342
kind of this background
280
00:09:36,642 --> 00:09:37,376
and he thought it was great
281
00:09:37,376 --> 00:09:39,211
I was going to do that he was very
282
00:09:39,211 --> 00:09:41,013
supportive like applying
283
00:09:41,013 --> 00:09:42,081
it to something interesting
284
00:09:42,114 --> 00:09:43,849
but he knew that you could do this
285
00:09:43,849 --> 00:09:44,817
somehow together and I
286
00:09:44,817 --> 00:09:46,552
had I had no idea of that so
287
00:09:46,552 --> 00:09:49,488
it was really interesting a different
288
00:09:49,555 --> 00:09:50,790
kind of experience there.
289
00:09:51,223 --> 00:09:53,326
Yeah but don't worry years later mum
290
00:09:53,326 --> 00:09:54,427
became very proud of her
291
00:09:54,427 --> 00:09:55,695
doctor son and I remember
292
00:09:55,695 --> 00:09:59,565
we went out to a restaurant for her 70th
293
00:09:59,565 --> 00:10:01,067
birthday and at some point
294
00:10:01,067 --> 00:10:02,201
I went to the restroom and
295
00:10:02,201 --> 00:10:04,837
their waiter came to congratulate me on
296
00:10:05,171 --> 00:10:05,871
you know finishing
297
00:10:05,871 --> 00:10:06,973
medicine or something and I
298
00:10:06,973 --> 00:10:11,444
was like how does he even know and also I
299
00:10:11,444 --> 00:10:12,712
got an award from the
300
00:10:12,712 --> 00:10:13,713
American Psychiatric
301
00:10:13,713 --> 00:10:15,781
Association at some point and then a
302
00:10:15,781 --> 00:10:17,216
journalist rang me and of
303
00:10:17,216 --> 00:10:19,752
course the ego of a young man
304
00:10:19,852 --> 00:10:23,255
immediately declared in his own mind that
305
00:10:23,255 --> 00:10:24,357
he was now famous but
306
00:10:24,357 --> 00:10:25,658
I asked the journalist
307
00:10:25,658 --> 00:10:27,493
how did you find out about this award and
308
00:10:27,493 --> 00:10:29,095
she said oh your mum
309
00:10:29,095 --> 00:10:31,263
rang me your mum rang
310
00:10:31,263 --> 00:10:34,133
the newspaper so yeah she was very proud
311
00:10:34,133 --> 00:10:35,034
of these things but good
312
00:10:35,034 --> 00:10:36,102
on her I mean she should
313
00:10:36,102 --> 00:10:39,972
be she worked for very hard as many
314
00:10:39,972 --> 00:10:42,174
people do bringing up her kids and
315
00:10:42,174 --> 00:10:43,542
sacrificing everything
316
00:10:43,809 --> 00:10:45,544
Yeah I mean that's no small
317
00:10:45,544 --> 00:10:46,445
accomplishment right?
318
00:10:46,479 --> 00:10:46,812
Yeah.
319
00:10:47,113 --> 00:10:50,082
Yeah and in your case well of course
320
00:10:50,082 --> 00:10:53,252
you've navigated motherhood
321
00:10:53,252 --> 00:10:54,653
during a scientific career
322
00:10:54,653 --> 00:10:56,022
I mean that comes later in your life than
323
00:10:56,022 --> 00:10:56,489
we've been talking
324
00:10:56,489 --> 00:10:59,191
about so far but it's always
325
00:10:59,191 --> 00:10:59,892
a balance right?
326
00:11:00,426 --> 00:11:03,329
It's always a balance there's always but
327
00:11:03,462 --> 00:11:04,163
in the end what it
328
00:11:04,163 --> 00:11:06,065
comes down to is that the
329
00:11:06,098 --> 00:11:11,871
kids are always the priority but when
330
00:11:11,871 --> 00:11:13,906
things are stable it's
331
00:11:13,906 --> 00:11:15,608
much easier to kind of balance
332
00:11:15,608 --> 00:11:17,643
these things and being a scientist you
333
00:11:17,643 --> 00:11:18,911
have you know you have
334
00:11:18,911 --> 00:11:20,746
some flexibility which is
335
00:11:20,746 --> 00:11:22,081
great so I can't have breakfast with my
336
00:11:22,081 --> 00:11:23,349
kids every morning I
337
00:11:23,349 --> 00:11:24,917
mean I know for example as
338
00:11:24,917 --> 00:11:26,485
a doctor that's much more difficult to
339
00:11:26,485 --> 00:11:27,353
have breakfast with
340
00:11:27,353 --> 00:11:29,288
your kids so I think during
341
00:11:29,288 --> 00:11:31,157
those types of you know those types of
342
00:11:31,157 --> 00:11:32,024
things are very
343
00:11:32,024 --> 00:11:34,393
important and then but one of the
344
00:11:34,393 --> 00:11:36,962
things that for example that was that's
345
00:11:36,962 --> 00:11:37,963
different because we don't
346
00:11:37,963 --> 00:11:39,799
live close to family we don't
347
00:11:39,799 --> 00:11:44,236
live like when we had our first kid when
348
00:11:44,270 --> 00:11:45,204
we had our first kid
349
00:11:45,204 --> 00:11:46,572
we didn't have like much
350
00:11:46,572 --> 00:11:48,240
money we were like he was a resident I
351
00:11:48,240 --> 00:11:50,443
was a postdoc so we had
352
00:11:50,443 --> 00:11:52,211
to kind of scramble but
353
00:11:52,211 --> 00:11:55,381
the other community around us really
354
00:11:55,381 --> 00:11:56,816
supported us in terms of
355
00:11:56,816 --> 00:11:58,184
like having dinners together
356
00:11:58,451 --> 00:12:00,553
watching our kids when we were not around
357
00:12:00,853 --> 00:12:01,821
so it's been really
358
00:12:01,821 --> 00:12:03,456
our friends around these
359
00:12:03,456 --> 00:12:05,558
and of course my parents are you know and
360
00:12:05,591 --> 00:12:06,759
across the Atlantic so they
361
00:12:06,759 --> 00:12:07,827
could come visit maybe for
362
00:12:07,827 --> 00:12:09,795
one week or two weeks at a time or to
363
00:12:09,795 --> 00:12:11,664
help out sometimes but not
364
00:12:11,664 --> 00:12:13,265
on an ongoing basis and so I
365
00:12:13,265 --> 00:12:15,101
think that kind of community support has
366
00:12:15,101 --> 00:12:17,903
been has been really really
367
00:12:17,903 --> 00:12:21,373
valuable also I think as you
368
00:12:21,373 --> 00:12:24,276
know I had my two postdoc mentors John
369
00:12:24,276 --> 00:12:25,511
Winiver and Brian Wandell
370
00:12:25,978 --> 00:12:28,714
were also very supportive and
371
00:12:29,482 --> 00:12:30,683
you know we did a lot of computational
372
00:12:30,683 --> 00:12:33,519
work and they would I've
373
00:12:33,519 --> 00:12:34,887
never had any conversation with
374
00:12:34,887 --> 00:12:37,289
them about they never had any criticism
375
00:12:37,289 --> 00:12:39,158
about when I had to be
376
00:12:39,158 --> 00:12:40,359
there when I was not there
377
00:12:40,726 --> 00:12:42,061
because when the kids are sick I had to
378
00:12:42,061 --> 00:12:43,729
be home because my
379
00:12:43,729 --> 00:12:45,264
husband was in the hospital
380
00:12:46,031 --> 00:12:48,234
doing important work so I it's always
381
00:12:48,234 --> 00:12:49,435
been kind of that situation
382
00:12:49,435 --> 00:12:51,103
but yeah it's always a balance
383
00:12:51,103 --> 00:12:54,039
but it's wonderful and how supportive do
384
00:12:54,039 --> 00:12:55,174
you think the institutions
385
00:12:55,174 --> 00:12:56,776
that you've worked in have been
386
00:12:57,443 --> 00:13:01,147
supporting this complex dual role thing?
387
00:13:01,514 --> 00:13:04,550
So it depends on where
388
00:13:04,550 --> 00:13:06,152
it depends I've been in as
389
00:13:06,152 --> 00:13:07,753
opposed to like I spent some time in the
390
00:13:07,753 --> 00:13:09,722
Netherlands and I spent some time at
391
00:13:09,722 --> 00:13:11,490
Stanford as well and it
392
00:13:11,490 --> 00:13:14,059
was so my first child was actually born
393
00:13:14,059 --> 00:13:16,395
while I was still in in the
394
00:13:16,395 --> 00:13:18,264
Netherlands or still on like
395
00:13:18,264 --> 00:13:20,533
my finishing my PhD and then I got 12
396
00:13:20,633 --> 00:13:22,234
weeks of pregnancy leave. I
397
00:13:22,234 --> 00:13:23,369
mean you're you're here right
398
00:13:23,502 --> 00:13:26,272
yeah but I was still like I mean I got 12
399
00:13:26,272 --> 00:13:27,540
12 weeks of pregnancy
400
00:13:27,540 --> 00:13:29,408
leave which is which is
401
00:13:30,276 --> 00:13:33,012
very helpful basically because you don't
402
00:13:33,012 --> 00:13:33,946
get much sleep during that
403
00:13:33,946 --> 00:13:36,115
time and by the end of that I
404
00:13:36,115 --> 00:13:38,684
really wanted to go back to work and so
405
00:13:38,684 --> 00:13:40,452
it was really nice like to
406
00:13:40,486 --> 00:13:42,354
to to kind of be able to get
407
00:13:42,354 --> 00:13:44,690
work done again and go back to work but
408
00:13:44,690 --> 00:13:46,725
12 weeks is good and then
409
00:13:46,725 --> 00:13:48,460
after that you can you know you
410
00:13:49,361 --> 00:13:51,597
dropping a 12-week hold at you know
411
00:13:51,597 --> 00:13:54,033
12-week hold at daycare is okay. My
412
00:13:54,099 --> 00:13:56,535
second child was born when
413
00:13:56,535 --> 00:13:57,736
I was at Stanford where I had eight
414
00:13:57,736 --> 00:13:59,471
weeks. Now eight weeks is
415
00:13:59,538 --> 00:14:00,406
you mean when you were employed
416
00:14:00,406 --> 00:14:01,941
by Stanford we were at Stanford yeah we
417
00:14:01,941 --> 00:14:03,475
were at Stanford at eight
418
00:14:03,475 --> 00:14:05,778
weeks it's much much more
419
00:14:05,778 --> 00:14:09,582
difficult and so and the hard part was
420
00:14:09,582 --> 00:14:11,116
also is that the the
421
00:14:11,116 --> 00:14:13,519
fellowship that I was on I couldn't
422
00:14:13,552 --> 00:14:14,787
take those eight weeks to the end of it
423
00:14:14,787 --> 00:14:17,456
so it was just cut off short
424
00:14:17,456 --> 00:14:18,624
at the end it wasn't like it
425
00:14:18,824 --> 00:14:20,125
could take those eight weeks at the end
426
00:14:20,125 --> 00:14:21,727
to take longer or take a
427
00:14:21,727 --> 00:14:23,662
break at any point in time there
428
00:14:23,662 --> 00:14:26,131
was no situation where I could then move
429
00:14:26,131 --> 00:14:27,733
those eight weeks to
430
00:14:27,866 --> 00:14:29,802
actually get the work done so that
431
00:14:29,802 --> 00:14:31,470
was much more that was much more
432
00:14:31,470 --> 00:14:33,772
difficult but luckily at that point in
433
00:14:33,772 --> 00:14:34,740
time I had supportive
434
00:14:34,740 --> 00:14:37,943
mentors around me who could basically
435
00:14:37,943 --> 00:14:39,812
step in and that was the main thing that
436
00:14:39,812 --> 00:14:40,713
I think got me through
437
00:14:40,746 --> 00:14:43,315
is to have like supportive mentors who
438
00:14:43,382 --> 00:14:44,383
like both John Winter and
439
00:14:44,383 --> 00:14:46,118
Brian Wandell they both they both
440
00:14:46,118 --> 00:14:48,387
stepped in at those times when there was
441
00:14:48,387 --> 00:14:49,588
a fellowship running out
442
00:14:49,588 --> 00:14:50,956
couldn't get a new fellowship
443
00:14:50,956 --> 00:14:52,958
or like took me about you know several
444
00:14:52,958 --> 00:14:53,959
applications to get a new
445
00:14:53,959 --> 00:14:55,961
fellowship they were always I felt
446
00:14:55,961 --> 00:14:57,863
like I had support which was fantastic.
447
00:14:57,963 --> 00:14:59,365
Yeah and your PhD
448
00:14:59,465 --> 00:15:00,866
advisor I mean your PhD advisor
449
00:15:00,866 --> 00:15:05,004
Nick Ramsey's who so actually he was who
450
00:15:05,037 --> 00:15:07,840
introduced the two of us yeah and it
451
00:15:08,107 --> 00:15:08,974
seemed to me that he
452
00:15:09,842 --> 00:15:13,445
he gave you flexibility and support I
453
00:15:13,445 --> 00:15:14,513
think you're an easy case
454
00:15:14,513 --> 00:15:15,814
because you're productive
455
00:15:15,948 --> 00:15:18,284
right and you have to be science from a
456
00:15:18,284 --> 00:15:19,718
distance and writing a lot
457
00:15:21,253 --> 00:15:23,155
has the way and I guess this
458
00:15:23,155 --> 00:15:25,357
is a good question for both of you guys
459
00:15:25,658 --> 00:15:26,625
how are the interactions
460
00:15:26,625 --> 00:15:28,160
that you had with your thesis
461
00:15:28,160 --> 00:15:29,828
advisors when you were doing your PhD
462
00:15:29,862 --> 00:15:31,964
shaped the interactions
463
00:15:31,964 --> 00:15:33,499
that you have with your own PhD
464
00:15:33,632 --> 00:15:35,167
students you know Michael you've
465
00:15:35,167 --> 00:15:37,636
obviously been doing this longer than
466
00:15:37,636 --> 00:15:40,272
Dora has but I think it's
467
00:15:40,272 --> 00:15:42,708
salient for both of you you know. I'll
468
00:15:42,708 --> 00:15:45,177
let you go first. Well I also did
469
00:15:45,177 --> 00:15:46,612
clinical training so I had
470
00:15:46,612 --> 00:15:48,947
mentors from psychiatry and of course
471
00:15:49,315 --> 00:15:51,083
they're the sort of personal
472
00:15:52,318 --> 00:15:53,752
emotional journeys very much
473
00:15:53,752 --> 00:15:56,422
foregrounded so certainly I took a lot of
474
00:15:56,422 --> 00:15:59,992
principles from that yeah I had good I
475
00:15:59,992 --> 00:16:01,493
had excellent postdoc
476
00:16:01,627 --> 00:16:07,066
supervisors but I also traveled and met
477
00:16:08,067 --> 00:16:09,702
other senior scientists or
478
00:16:09,702 --> 00:16:10,869
met senior scientists and
479
00:16:10,869 --> 00:16:14,873
what I think took most was say at a
480
00:16:14,873 --> 00:16:18,777
conference you know if they
481
00:16:18,811 --> 00:16:21,113
had postdocs that were my level
482
00:16:21,747 --> 00:16:23,949
you could see which groups were working
483
00:16:23,949 --> 00:16:27,286
together with a lot of
484
00:16:27,286 --> 00:16:30,856
happiness joy collegiality
485
00:16:31,190 --> 00:16:34,093
and and and you know if the PI was there
486
00:16:34,493 --> 00:16:36,628
you know having fun
487
00:16:36,962 --> 00:16:40,132
supporting showing some
488
00:16:40,132 --> 00:16:42,768
science for the more junior members that
489
00:16:42,768 --> 00:16:44,803
that becomes a inspiration
490
00:16:45,237 --> 00:16:47,506
far more than old mate who
491
00:16:47,506 --> 00:16:50,142
stands up on the podium and impresses the
492
00:16:50,142 --> 00:16:52,711
audience with their singular
493
00:16:52,845 --> 00:16:55,214
genius and doesn't bring any
494
00:16:55,214 --> 00:16:56,849
of the people that have worked on the
495
00:16:56,882 --> 00:16:58,217
projects along in that
496
00:16:58,217 --> 00:17:00,853
journey and then wants to sort of
497
00:17:01,587 --> 00:17:03,255
network only with people at the senior
498
00:17:03,255 --> 00:17:05,624
level I mean yeah the work
499
00:17:05,624 --> 00:17:07,192
is interesting but there's
500
00:17:07,192 --> 00:17:09,962
no inspiration in mentorship and of
501
00:17:09,962 --> 00:17:10,963
course many of the most
502
00:17:10,963 --> 00:17:13,432
famous people or most influential
503
00:17:13,432 --> 00:17:14,967
people I should say because that's more
504
00:17:14,967 --> 00:17:18,103
important have wonderful relationships
505
00:17:18,103 --> 00:17:19,204
with their teams and
506
00:17:19,405 --> 00:17:23,108
support them and and and at a conference
507
00:17:23,242 --> 00:17:24,143
enjoy each other's
508
00:17:24,143 --> 00:17:26,145
company without such a hierarchy
509
00:17:26,445 --> 00:17:28,447
I mean this is quite common in Australia
510
00:17:28,447 --> 00:17:30,549
and Europe and in many
511
00:17:30,549 --> 00:17:31,550
of the American labs that
512
00:17:31,550 --> 00:17:33,852
I've visited so there that they would be
513
00:17:33,852 --> 00:17:35,587
the sort sort of
514
00:17:35,621 --> 00:17:38,590
relationships that would I would
515
00:17:38,991 --> 00:17:42,161
implicitly mold myself on and of course
516
00:17:42,161 --> 00:17:45,397
also groups where there was you know
517
00:17:45,831 --> 00:17:47,299
equality and diversity
518
00:17:48,233 --> 00:17:51,870
nationality gender all these things and
519
00:17:51,870 --> 00:17:53,939
more recently and maybe
520
00:17:53,939 --> 00:17:55,941
it is too recent and should
521
00:17:55,941 --> 00:17:58,644
further back you know my group come along
522
00:17:58,644 --> 00:18:00,579
with kids and and young
523
00:18:00,579 --> 00:18:02,981
kids sometimes and it's much
524
00:18:02,981 --> 00:18:05,217
more of a family environment now which is
525
00:18:05,217 --> 00:18:08,287
also wonderful yeah so
526
00:18:08,287 --> 00:18:10,856
that's the sort of journey and
527
00:18:10,856 --> 00:18:13,926
inspiration I've taken points from I
528
00:18:13,926 --> 00:18:15,194
still think institutes
529
00:18:15,194 --> 00:18:16,395
should be doing a lot more
530
00:18:17,396 --> 00:18:19,431
because during the daily life even if the
531
00:18:19,431 --> 00:18:20,332
children are a little bit
532
00:18:20,332 --> 00:18:22,434
older they might need to get
533
00:18:22,501 --> 00:18:24,169
early they might have to stay home if
534
00:18:24,169 --> 00:18:26,004
they're unwell and what are the
535
00:18:26,004 --> 00:18:27,606
institutes doing in order
536
00:18:27,606 --> 00:18:30,509
to make that easier you know sometimes
537
00:18:30,576 --> 00:18:32,244
practically some of my
538
00:18:32,244 --> 00:18:33,679
postdocs have to bring their young
539
00:18:33,679 --> 00:18:35,681
children into work they can't keep
540
00:18:35,681 --> 00:18:36,482
staying at home maybe
541
00:18:36,482 --> 00:18:37,683
they're running an experiment
542
00:18:38,250 --> 00:18:40,853
and so therefore the question is how
543
00:18:40,853 --> 00:18:42,254
flexible is the institute
544
00:18:42,287 --> 00:18:44,823
going to be and obviously they have
545
00:18:44,823 --> 00:18:46,959
to look after safety and other concerns
546
00:18:47,359 --> 00:18:48,460
but at the end of the day
547
00:18:49,328 --> 00:18:50,796
like there's a young kid they
548
00:18:50,929 --> 00:18:54,333
make a space that's safe for the young
549
00:18:54,333 --> 00:18:57,135
children to play in so that the mums
550
00:18:57,135 --> 00:18:58,003
particularly visiting
551
00:18:58,003 --> 00:19:00,873
postdocs can do their work and fathers I
552
00:19:00,873 --> 00:19:03,876
mean we should have make sure both
553
00:19:04,243 --> 00:19:05,577
parents particularly
554
00:19:05,577 --> 00:19:07,112
in the netherlands where there is an
555
00:19:07,112 --> 00:19:08,981
expectation for both parents to be
556
00:19:09,548 --> 00:19:11,016
co-parenting a lot more
557
00:19:11,016 --> 00:19:13,452
than say in Australia yeah these are the
558
00:19:13,452 --> 00:19:15,721
sorts of places now that I
559
00:19:15,721 --> 00:19:17,489
think make the lab a happy place
560
00:19:17,556 --> 00:19:20,592
and productive yeah I remember I think
561
00:19:20,692 --> 00:19:23,028
all of you Brian you may have met Bob
562
00:19:23,028 --> 00:19:23,829
Knight at some point
563
00:19:23,829 --> 00:19:25,764
but I know the other two of you have at
564
00:19:25,764 --> 00:19:27,332
some point he literally had a
565
00:19:28,100 --> 00:19:29,801
room in the lab that was set up
566
00:19:29,801 --> 00:19:31,970
as a place for the kids to hang out when
567
00:19:31,970 --> 00:19:33,071
people brought their kids in
568
00:19:33,071 --> 00:19:37,442
and he he's had this amazing
569
00:19:37,809 --> 00:19:42,147
sort of a steady stream of very high high
570
00:19:42,147 --> 00:19:43,048
intellect and also
571
00:19:43,549 --> 00:19:44,683
highly productive people
572
00:19:44,750 --> 00:19:46,885
came through and I think he always really
573
00:19:46,885 --> 00:19:47,619
cultivated this
574
00:19:47,619 --> 00:19:48,954
family environment that uh
575
00:19:49,087 --> 00:19:51,223
that you feel from a distance yeah no I
576
00:19:51,223 --> 00:19:52,391
mean it really helps if
577
00:19:52,391 --> 00:19:53,825
there's like supportive senior
578
00:19:53,825 --> 00:19:56,428
people around and so I think that that's
579
00:19:56,428 --> 00:19:57,029
you know that's what you
580
00:19:57,029 --> 00:19:59,031
want to create as a lab also is
581
00:19:59,031 --> 00:20:01,300
like you know I had to tell my PhD
582
00:20:01,300 --> 00:20:03,001
advisor that I was you know I was
583
00:20:03,001 --> 00:20:04,002
pregnant at some point and
584
00:20:04,002 --> 00:20:06,371
you're always nervous about that so but
585
00:20:06,705 --> 00:20:07,806
he was supportive and he
586
00:20:07,806 --> 00:20:09,041
said you know we'll get it done
587
00:20:09,041 --> 00:20:11,710
remote and just and I finished it remote
588
00:20:11,710 --> 00:20:13,412
with a child on my on my
589
00:20:13,412 --> 00:20:15,080
belly and we zoomed and it was
590
00:20:15,113 --> 00:20:16,715
it was all fine so if you have a
591
00:20:16,715 --> 00:20:18,383
supportive advisor then you
592
00:20:18,383 --> 00:20:19,918
can finish your papers and you
593
00:20:19,918 --> 00:20:22,287
can basically do your work as you know
594
00:20:22,287 --> 00:20:23,922
however however things work
595
00:20:23,922 --> 00:20:25,190
out but it's like that's kind
596
00:20:25,190 --> 00:20:27,159
of the environment that is most
597
00:20:27,159 --> 00:20:30,095
productive um for everybody a question I
598
00:20:30,095 --> 00:20:31,129
have for you also just
599
00:20:31,129 --> 00:20:34,099
starting a lab I mean it's difficult now
600
00:20:34,099 --> 00:20:35,534
sometimes or it can be difficult
601
00:20:35,534 --> 00:20:37,202
combining you know coding
602
00:20:37,202 --> 00:20:40,472
yourself with you know your lab is coding
603
00:20:40,472 --> 00:20:41,073
and you want to stay
604
00:20:41,073 --> 00:20:42,274
involved in these things
605
00:20:42,774 --> 00:20:45,344
you know I've seen over the time like uh
606
00:20:45,711 --> 00:20:46,778
you know it's it's you
607
00:20:46,778 --> 00:20:47,946
want to you want to keep doing
608
00:20:48,013 --> 00:20:49,748
things yourself so have you set up your
609
00:20:49,748 --> 00:20:51,183
lab in some way to kind of
610
00:20:51,183 --> 00:20:52,951
keep doing things yourself
611
00:20:52,951 --> 00:20:55,354
as well as with people in your lab yeah
612
00:20:55,354 --> 00:20:56,688
it's a really challenging
613
00:20:56,688 --> 00:20:58,757
issue setting up your lab
614
00:20:58,857 --> 00:21:00,092
first of all you make quite a few
615
00:21:00,092 --> 00:21:03,195
mistakes when you're going as a junior PI
616
00:21:03,929 --> 00:21:04,930
and one of the things
617
00:21:04,930 --> 00:21:06,932
I learned it's a bit of a segue from your
618
00:21:06,932 --> 00:21:10,202
question is uh yeah you have
619
00:21:10,202 --> 00:21:11,670
to be a friend but you also
620
00:21:11,670 --> 00:21:13,739
have to be the supervisor so you have to
621
00:21:13,772 --> 00:21:15,007
create a bit of a boundary
622
00:21:15,007 --> 00:21:16,575
there that I didn't necessarily
623
00:21:16,942 --> 00:21:19,578
do that well when I was younger like I
624
00:21:19,611 --> 00:21:22,347
feel like my group not more
625
00:21:22,347 --> 00:21:24,650
productive when I clearly know
626
00:21:24,650 --> 00:21:26,818
what I was doing and where I wanted what
627
00:21:26,818 --> 00:21:28,820
I wanted them to work on and
628
00:21:28,820 --> 00:21:29,721
where they could come to me
629
00:21:29,755 --> 00:21:31,390
for advice obviously I was a little bit
630
00:21:31,390 --> 00:21:34,559
older so I think learning how
631
00:21:34,559 --> 00:21:36,061
to create a fenry environment
632
00:21:36,061 --> 00:21:38,196
but one in which people know that you
633
00:21:38,196 --> 00:21:39,498
know what you want and you
634
00:21:39,498 --> 00:21:40,732
know where the lab's going and
635
00:21:40,732 --> 00:21:42,401
you know how to answer questions
636
00:21:42,768 --> 00:21:45,203
otherwise it's a bit of a rabble and
637
00:21:45,203 --> 00:21:46,305
sometimes you'll get people
638
00:21:46,305 --> 00:21:47,973
who might take advantage of that and get
639
00:21:47,973 --> 00:21:49,508
funded to do something but not be
640
00:21:49,508 --> 00:21:50,642
interested in it because
641
00:21:50,642 --> 00:21:53,912
you're not seen as the authority so
642
00:21:53,912 --> 00:21:56,648
that's one one thing about to put into
643
00:21:56,648 --> 00:21:58,583
context being friendly
644
00:21:58,684 --> 00:22:00,285
it becomes a little bit easier when
645
00:22:00,285 --> 00:22:01,953
you're a little bit more senior but when
646
00:22:01,953 --> 00:22:03,088
you're more junior you do
647
00:22:03,088 --> 00:22:06,525
also need to be the supervisor the mentor
648
00:22:06,525 --> 00:22:08,427
and all of these things in
649
00:22:08,427 --> 00:22:10,062
terms of getting the balance
650
00:22:10,095 --> 00:22:13,832
like I very much want to be able to do as
651
00:22:13,832 --> 00:22:15,367
much of the hands-on work
652
00:22:15,467 --> 00:22:18,136
as I can and particularly
653
00:22:18,170 --> 00:22:19,871
to continue to do some coding and some
654
00:22:19,871 --> 00:22:20,839
mathematical thinking
655
00:22:20,839 --> 00:22:22,741
that's why I got into the game
656
00:22:23,675 --> 00:22:25,677
it does it is a challenge for a number of
657
00:22:25,677 --> 00:22:27,813
reasons the coding
658
00:22:27,813 --> 00:22:29,481
environment changes the
659
00:22:29,514 --> 00:22:32,017
data environment changes its bids and
660
00:22:32,017 --> 00:22:34,853
it's very much fMRI prep and
661
00:22:34,853 --> 00:22:36,688
therefore it's much easier to
662
00:22:36,722 --> 00:22:38,590
integrate that data into a coding
663
00:22:38,590 --> 00:22:41,426
environment if it's python-based although
664
00:22:41,426 --> 00:22:42,594
it's still obviously
665
00:22:42,594 --> 00:22:44,763
very easy to do it in that lab people
666
00:22:44,763 --> 00:22:46,631
want to learn code in python
667
00:22:47,365 --> 00:22:48,834
it's hard to suddenly learn
668
00:22:49,000 --> 00:22:51,937
coding in a second language and also if
669
00:22:51,937 --> 00:22:52,804
you've got three or four
670
00:22:52,804 --> 00:22:54,172
people in the group doing
671
00:22:54,206 --> 00:22:56,641
physics and coding you're not going to be
672
00:22:56,675 --> 00:22:57,909
able to keep up with it all
673
00:22:57,909 --> 00:22:58,643
and some of them are going
674
00:22:58,643 --> 00:23:00,679
to definitely a lot better than me my
675
00:23:00,679 --> 00:23:04,249
code is not it gets the job done so you
676
00:23:04,249 --> 00:23:05,283
have to compromise you
677
00:23:05,283 --> 00:23:07,953
have to go from coding at all to knowing
678
00:23:07,953 --> 00:23:09,688
how it's going to be coded to
679
00:23:09,688 --> 00:23:11,123
knowing in principle what it
680
00:23:11,123 --> 00:23:13,358
needs to do it's a kind of trusting
681
00:23:13,358 --> 00:23:15,727
people but still being able to do code
682
00:23:15,727 --> 00:23:17,162
review and that's kind
683
00:23:17,162 --> 00:23:19,498
of where I'm more or less at if you're
684
00:23:19,531 --> 00:23:20,699
not careful and you're
685
00:23:20,699 --> 00:23:22,934
ambitious to become very senior
686
00:23:23,568 --> 00:23:26,138
that's going to be impossible so I've had
687
00:23:26,138 --> 00:23:27,839
to either choose more
688
00:23:28,840 --> 00:23:32,043
senior roles or sort of tasks
689
00:23:32,511 --> 00:23:35,881
that aren't too overwhelming or even a
690
00:23:35,881 --> 00:23:39,684
little bit down actively
691
00:23:39,684 --> 00:23:42,154
down manage my senior already
692
00:23:42,154 --> 00:23:46,491
I have been like senior in the scientific
693
00:23:46,558 --> 00:23:48,026
community but in the
694
00:23:48,026 --> 00:23:49,294
institute I've had to be
695
00:23:49,294 --> 00:23:52,063
very careful not to pursue senior
696
00:23:52,063 --> 00:23:53,064
directorships and other
697
00:23:53,064 --> 00:23:54,666
things because I think then well it
698
00:23:54,666 --> 00:23:58,103
became very clear to me because I showed
699
00:23:58,103 --> 00:23:59,438
interest in a few jobs that
700
00:23:59,438 --> 00:24:01,339
these were going to be purely
701
00:24:01,339 --> 00:24:02,841
administrative roles and there wasn't
702
00:24:02,841 --> 00:24:03,675
going to be any any
703
00:24:03,675 --> 00:24:05,610
research at all or one day a week
704
00:24:06,111 --> 00:24:08,713
yes so you need to get funding so you can
705
00:24:08,713 --> 00:24:09,481
be an independent
706
00:24:09,481 --> 00:24:11,283
researcher so you can have lab
707
00:24:11,316 --> 00:24:13,118
meetings so you can go to the lab meeting
708
00:24:13,118 --> 00:24:14,252
so you can have your
709
00:24:14,252 --> 00:24:16,488
supervision that might involve code
710
00:24:16,488 --> 00:24:18,723
review that definitely involves
711
00:24:18,723 --> 00:24:20,992
conceptual development yeah
712
00:24:20,992 --> 00:24:21,693
and you've got to keep your
713
00:24:21,693 --> 00:24:25,130
head below the parapet fight the fights
714
00:24:25,130 --> 00:24:26,431
that are important but
715
00:24:26,431 --> 00:24:27,866
know when to stay quiet
716
00:24:28,633 --> 00:24:31,536
and probably sometimes I'm a bit guilty
717
00:24:31,536 --> 00:24:34,739
of being too off the radar because
718
00:24:35,307 --> 00:24:36,341
otherwise I just get
719
00:24:36,408 --> 00:24:38,543
overwhelmed with all these administrative
720
00:24:38,543 --> 00:24:41,179
roles and every now and
721
00:24:41,179 --> 00:24:43,682
then you feel like you've got
722
00:24:43,682 --> 00:24:45,483
to go and fight a few battles because
723
00:24:45,483 --> 00:24:47,886
otherwise things will get
724
00:24:47,886 --> 00:24:49,955
done too too much corporate
725
00:24:49,955 --> 00:24:55,026
nonsense or too much corporate speak or
726
00:24:55,026 --> 00:24:57,062
bureaucracy and what you're
727
00:24:57,062 --> 00:24:58,897
doing as a group is and your
728
00:24:59,030 --> 00:25:01,700
postdocs isn't being properly appreciated
729
00:25:01,700 --> 00:25:02,934
because you haven't fought
730
00:25:02,934 --> 00:25:04,536
for it so every now and then
731
00:25:04,803 --> 00:25:06,671
you have to go meet all the people and
732
00:25:06,671 --> 00:25:08,540
fight the fights and promote
733
00:25:08,540 --> 00:25:09,741
the work of your group and not
734
00:25:09,741 --> 00:25:11,343
just rest on your laurels that you're
735
00:25:11,343 --> 00:25:13,311
going to be successful if
736
00:25:13,311 --> 00:25:14,379
you go into conferences and
737
00:25:14,379 --> 00:25:16,414
presenting the work and publishing the
738
00:25:16,414 --> 00:25:16,948
work because
739
00:25:16,982 --> 00:25:19,551
surprisingly more senior people at
740
00:25:19,551 --> 00:25:21,653
universities and institutes often don't
741
00:25:21,653 --> 00:25:22,687
know what you're publishing
742
00:25:23,521 --> 00:25:25,457
they might be happy that oh yeah
743
00:25:25,490 --> 00:25:28,226
he's probably publishing well or getting
744
00:25:28,226 --> 00:25:29,594
a grant but they don't
745
00:25:29,594 --> 00:25:31,363
actually know so then you have you
746
00:25:31,429 --> 00:25:33,498
got to get this balance right but if you
747
00:25:33,498 --> 00:25:34,599
want to stay active in
748
00:25:34,599 --> 00:25:37,702
science you have to occasionally
749
00:25:37,702 --> 00:25:40,906
down manage your promotions out of more
750
00:25:41,006 --> 00:25:43,208
administrative roles so
751
00:25:43,208 --> 00:25:44,943
learn how to say no that's
752
00:25:44,943 --> 00:25:47,612
important yes saying no to individual
753
00:25:47,612 --> 00:25:49,948
tasks but also focusing on
754
00:25:49,948 --> 00:25:51,182
the good work of your group
755
00:25:51,650 --> 00:25:57,022
and not taking senior directorship roles
756
00:25:57,055 --> 00:25:59,090
unless they're going to see
757
00:25:59,090 --> 00:26:01,092
you as a flagship researcher
758
00:26:01,126 --> 00:26:04,296
which many in the past were but
759
00:26:04,362 --> 00:26:06,164
increasingly i find that
760
00:26:06,164 --> 00:26:07,599
the senior directorship roles
761
00:26:07,599 --> 00:26:09,935
particularly in australia are not for
762
00:26:09,935 --> 00:26:12,103
people who are able to do research and
763
00:26:12,370 --> 00:26:13,972
that sort of saddens me
764
00:26:15,173 --> 00:26:19,244
yeah um there's a few i think really nice
765
00:26:19,244 --> 00:26:20,178
things that would be good to
766
00:26:20,178 --> 00:26:21,746
talk with uh the two of you
767
00:26:21,746 --> 00:26:26,785
guys about um for dora for dr hermes uh
768
00:26:26,785 --> 00:26:28,820
specifically uh i'd like to
769
00:26:28,820 --> 00:26:30,422
kind of hear your thoughts about
770
00:26:30,689 --> 00:26:34,359
um data standardization and creation of
771
00:26:34,392 --> 00:26:35,894
um let's say a bids
772
00:26:35,894 --> 00:26:37,228
framework for human and
773
00:26:37,228 --> 00:26:39,130
chiricranial data which is a data
774
00:26:39,130 --> 00:26:40,031
standard you create if you
775
00:26:40,031 --> 00:26:40,966
could tell us a little bit about
776
00:26:40,966 --> 00:26:43,201
that and then after um dora goes into
777
00:26:43,201 --> 00:26:44,502
that maybe we could hear some from you
778
00:26:44,502 --> 00:26:45,837
michael about the way
779
00:26:45,837 --> 00:26:49,641
that you became an editor in chief of one
780
00:26:49,641 --> 00:26:51,509
of the premier neurosurgery journal
781
00:26:52,177 --> 00:26:53,044
neuroscience journal
782
00:26:53,044 --> 00:26:55,547
sorry and then uh sort of how things have
783
00:26:55,547 --> 00:26:56,314
gone after and then the
784
00:26:56,314 --> 00:26:57,816
same thing with the society
785
00:26:58,216 --> 00:27:00,352
the organization of human brain mapping
786
00:27:00,652 --> 00:27:01,419
why don't you tell us
787
00:27:01,419 --> 00:27:02,520
a little bit about data
788
00:27:02,520 --> 00:27:04,255
standard the data standardization and the
789
00:27:04,255 --> 00:27:05,724
importance of it so
790
00:27:05,724 --> 00:27:06,625
when you're starting to
791
00:27:06,625 --> 00:27:08,460
do projects are growing right across the
792
00:27:08,460 --> 00:27:09,995
board we're starting to incorporate
793
00:27:10,028 --> 00:27:11,329
multimodal data more
794
00:27:11,329 --> 00:27:14,499
data big you know big data was a was the
795
00:27:14,499 --> 00:27:16,234
word like 10 years ago or so
796
00:27:16,234 --> 00:27:18,203
i think and now we're using
797
00:27:18,203 --> 00:27:21,906
those larger data sets to train different
798
00:27:21,906 --> 00:27:24,609
types of models um of brain
799
00:27:24,609 --> 00:27:26,478
dynamics for example and so
800
00:27:26,478 --> 00:27:28,613
you're working with these types of data
801
00:27:28,613 --> 00:27:30,115
you have to make sure that you can
802
00:27:30,548 --> 00:27:31,750
actually in just a minute
803
00:27:31,750 --> 00:27:33,184
computer program it means that they have
804
00:27:33,184 --> 00:27:35,086
to be machine readable but
805
00:27:35,086 --> 00:27:36,888
at the same time you want
806
00:27:37,489 --> 00:27:39,624
clinicians or undergrads who just come
807
00:27:39,624 --> 00:27:40,492
into the lab who don't
808
00:27:40,492 --> 00:27:42,127
have a large computer sciences
809
00:27:42,127 --> 00:27:44,029
background you want them to be able to
810
00:27:44,029 --> 00:27:45,930
interact with data and so
811
00:27:45,930 --> 00:27:47,932
when we started to do a project
812
00:27:47,966 --> 00:27:50,001
um i was at stanford at a time and we
813
00:27:50,001 --> 00:27:51,202
were doing a multi-site
814
00:27:51,202 --> 00:27:53,538
project between uh new york
815
00:27:53,838 --> 00:27:58,443
nyu um john winnower um and then natalia
816
00:27:58,443 --> 00:27:59,911
petriju at the university of
817
00:27:59,911 --> 00:28:01,946
utrecht and then with brian
818
00:28:01,946 --> 00:28:04,082
wendell at stanford we were doing a
819
00:28:04,082 --> 00:28:05,216
project where we're going to
820
00:28:05,216 --> 00:28:08,720
integrate eg meg fMRI 3t 70
821
00:28:08,720 --> 00:28:10,855
intercranial eg data so a lot of
822
00:28:10,855 --> 00:28:12,991
different data types and so we had to
823
00:28:12,991 --> 00:28:14,092
come up with a way to share
824
00:28:14,092 --> 00:28:15,860
those data and we just looked for like
825
00:28:15,860 --> 00:28:17,262
let's be pragmatic let's
826
00:28:17,696 --> 00:28:19,597
pick the most simple way to
827
00:28:19,664 --> 00:28:21,566
actually do this practically that's going
828
00:28:21,566 --> 00:28:23,601
to work and then i was lucky
829
00:28:23,601 --> 00:28:25,303
at the time because um we were
830
00:28:25,303 --> 00:28:26,738
on the fourth floor of the psychology
831
00:28:26,738 --> 00:28:29,007
building on the third floor was uh
832
00:28:29,007 --> 00:28:30,141
raspoldrecks lab with
833
00:28:30,141 --> 00:28:31,810
chris goralowski who had just developed
834
00:28:31,810 --> 00:28:34,212
bids for fMRI and so i
835
00:28:34,212 --> 00:28:35,380
went and i talked to him
836
00:28:36,214 --> 00:28:38,116
and i asked him is this just for MRI or
837
00:28:38,116 --> 00:28:39,818
what's so do you think that
838
00:28:39,851 --> 00:28:41,319
we could make this work as well
839
00:28:41,319 --> 00:28:44,222
for kind of sharing our data and he said
840
00:28:44,222 --> 00:28:45,356
like of course yes this is
841
00:28:45,423 --> 00:28:46,357
supposed to be a community
842
00:28:46,758 --> 00:28:48,660
we have the meg community just started
843
00:28:48,660 --> 00:28:52,397
developing bits for meg and so um if
844
00:28:52,397 --> 00:28:52,964
you're interested in
845
00:28:52,964 --> 00:28:54,699
doing this for intercranial eg you should
846
00:28:54,699 --> 00:28:56,968
totally do that and so we
847
00:28:56,968 --> 00:28:58,536
contacted the meg people we got
848
00:28:58,536 --> 00:29:00,371
their template and it's really set up in
849
00:29:00,371 --> 00:29:01,639
a way such that i was a
850
00:29:01,639 --> 00:29:02,841
postdoc at the time such that
851
00:29:02,841 --> 00:29:05,343
junior people can contribute to this and
852
00:29:05,343 --> 00:29:07,278
it's it's very practical you
853
00:29:07,278 --> 00:29:09,147
can read all the the json files
854
00:29:09,147 --> 00:29:10,548
are human and machine readable you can
855
00:29:10,548 --> 00:29:12,383
see what's in there it's the tab
856
00:29:12,383 --> 00:29:15,520
separated format files it's
857
00:29:15,553 --> 00:29:18,056
file folder naming convention such that
858
00:29:18,056 --> 00:29:19,424
you can easily parse through many
859
00:29:19,524 --> 00:29:20,391
different data sets so
860
00:29:20,391 --> 00:29:22,293
it just seemed very practical and very
861
00:29:22,293 --> 00:29:24,329
feasible and so we got a lot
862
00:29:24,329 --> 00:29:26,264
of people from the ieg world
863
00:29:26,264 --> 00:29:28,333
together and review the standards and
864
00:29:28,333 --> 00:29:29,234
review the terms and the
865
00:29:29,234 --> 00:29:30,368
names that we're going to use
866
00:29:30,368 --> 00:29:34,572
ieg for example intercranial eg um and so
867
00:29:34,606 --> 00:29:35,707
um and we collaborated
868
00:29:35,707 --> 00:29:37,609
closely with the eg extension at
869
00:29:37,609 --> 00:29:39,344
the times to make sure that we were doing
870
00:29:39,644 --> 00:29:40,378
that we were naming
871
00:29:40,378 --> 00:29:41,779
everything the same in terms of
872
00:29:41,779 --> 00:29:43,615
accurate positions channels those types
873
00:29:43,615 --> 00:29:45,216
of things and i found this
874
00:29:45,216 --> 00:29:46,718
to be a very supportive and
875
00:29:46,718 --> 00:29:48,186
collaborative community they were
876
00:29:48,419 --> 00:29:50,088
everybody was being helpful in terms of
877
00:29:50,088 --> 00:29:52,657
how to do this um and so
878
00:29:52,657 --> 00:29:55,493
ever since then we you know the the data
879
00:29:55,493 --> 00:29:56,461
in our lab are structured
880
00:29:56,461 --> 00:29:58,763
in bids and it makes it such
881
00:29:58,763 --> 00:30:01,599
that you can't go back and we still know
882
00:30:01,599 --> 00:30:02,467
what was done during the
883
00:30:02,467 --> 00:30:04,169
first experiment we did in the lab
884
00:30:04,602 --> 00:30:06,871
here six years ago and you worked with
885
00:30:06,971 --> 00:30:07,839
with somebody from we
886
00:30:07,839 --> 00:30:09,374
brought up bob night um
887
00:30:09,941 --> 00:30:12,177
yeah so chris holdcraft was one of the
888
00:30:12,177 --> 00:30:13,478
main uh well it was the
889
00:30:13,478 --> 00:30:15,213
main person who was the first
890
00:30:15,213 --> 00:30:17,081
author on this paper who had a lot of
891
00:30:17,081 --> 00:30:18,416
experience with python for
892
00:30:18,416 --> 00:30:20,852
example i didn't and he so he
893
00:30:20,852 --> 00:30:22,954
helped implement a lot of the uh the
894
00:30:22,954 --> 00:30:23,988
issues with the validator
895
00:30:23,988 --> 00:30:25,323
because you can validate your data
896
00:30:25,323 --> 00:30:27,458
and say like oh yeah it's correctly
897
00:30:27,458 --> 00:30:28,726
formatted according to bids
898
00:30:28,993 --> 00:30:30,361
such that someone else you
899
00:30:30,361 --> 00:30:31,930
know that another computer can read it
900
00:30:31,930 --> 00:30:33,431
and i can give it to someone and their
901
00:30:33,431 --> 00:30:34,566
computer can actually
902
00:30:35,767 --> 00:30:37,368
and i mean i think there's a few things
903
00:30:37,368 --> 00:30:38,970
that are useful one is
904
00:30:39,003 --> 00:30:40,672
let's say you know so bob night
905
00:30:40,705 --> 00:30:42,373
has he's had this interesting thing where
906
00:30:42,373 --> 00:30:43,942
he's really interested in these
907
00:30:43,975 --> 00:30:44,943
intracranial recordings
908
00:30:44,943 --> 00:30:47,445
that we do but they're not done at
909
00:30:47,445 --> 00:30:49,214
berkeley berkeley doesn't have the
910
00:30:49,214 --> 00:30:51,049
medical arm of berkeley as you see
911
00:30:51,049 --> 00:30:53,184
san francisco which is across the bay but
912
00:30:53,184 --> 00:30:54,752
he's sort of orchestrated these
913
00:30:54,752 --> 00:30:56,287
collaborations between
914
00:30:56,521 --> 00:30:58,256
sites all around the country and and
915
00:30:58,256 --> 00:31:00,158
allowed in some sense he
916
00:31:00,358 --> 00:31:02,527
needed or their group needed
917
00:31:03,027 --> 00:31:05,897
something like this was driven by uh a
918
00:31:05,930 --> 00:31:07,432
consortium need to have a
919
00:31:07,532 --> 00:31:09,634
format like this yeah i mean we
920
00:31:09,634 --> 00:31:11,236
need we all need to be able to share our
921
00:31:11,236 --> 00:31:12,604
data in a way that is easily
922
00:31:12,604 --> 00:31:13,738
interpreted by other people
923
00:31:13,738 --> 00:31:15,273
if we share electrode positions we want
924
00:31:15,273 --> 00:31:16,241
to know whether in the
925
00:31:16,241 --> 00:31:17,642
space of the individual subject
926
00:31:17,942 --> 00:31:20,578
is it mni space how do i interpret this
927
00:31:20,578 --> 00:31:22,313
with respect to the
928
00:31:22,313 --> 00:31:24,015
specific brain measurements so
929
00:31:24,015 --> 00:31:26,651
there's standardizing those things helps
930
00:31:26,684 --> 00:31:29,087
you know helps share data across many
931
00:31:29,087 --> 00:31:29,754
different monalities
932
00:31:29,821 --> 00:31:31,522
and it's been really yeah it's been
933
00:31:31,522 --> 00:31:32,957
exciting to see how it grows
934
00:31:32,957 --> 00:31:36,694
to now pet meg like pet meg
935
00:31:37,895 --> 00:31:41,165
asl there's many different um many
936
00:31:41,165 --> 00:31:42,500
different modalities can now
937
00:31:42,500 --> 00:31:43,902
structure their data in this
938
00:31:43,935 --> 00:31:46,371
in a similar format all driven by a lot
939
00:31:46,371 --> 00:31:48,172
of like a lot of students a lot of
940
00:31:48,172 --> 00:31:49,774
postdocs young people
941
00:31:49,774 --> 00:31:51,876
who drive this it's not top down driven
942
00:31:52,310 --> 00:31:53,645
you just i've shown the
943
00:31:53,645 --> 00:31:55,513
format to like people who come to
944
00:31:55,513 --> 00:31:57,148
me oh where i have to organize the labs
945
00:31:57,148 --> 00:31:58,182
data what do you think do you
946
00:31:58,182 --> 00:31:58,983
think this should work and i
947
00:31:59,517 --> 00:32:01,486
just talked to them for like maybe an
948
00:32:01,519 --> 00:32:03,388
hour and then six months
949
00:32:03,388 --> 00:32:05,456
later they have organized all the
950
00:32:05,456 --> 00:32:07,225
data in bids and it's just worked for
951
00:32:07,225 --> 00:32:09,027
them as a junior person so
952
00:32:09,027 --> 00:32:11,296
it's just been very much a
953
00:32:11,296 --> 00:32:15,166
practical kind of um a practical decision
954
00:32:15,667 --> 00:32:18,369
uh rather than like it may not be the
955
00:32:18,369 --> 00:32:19,304
best format but it's
956
00:32:19,304 --> 00:32:22,407
the most practical format so as you were
957
00:32:22,407 --> 00:32:23,341
coming up with that i mean
958
00:32:23,341 --> 00:32:24,208
i guess you had a template
959
00:32:24,208 --> 00:32:25,977
ready yes but was there a lot of
960
00:32:25,977 --> 00:32:27,045
disagreement of because i'm
961
00:32:27,045 --> 00:32:27,812
sure everyone had their own
962
00:32:28,012 --> 00:32:29,580
interest in how they were already storing
963
00:32:29,580 --> 00:32:30,715
their data was there a lot
964
00:32:30,715 --> 00:32:32,617
of difficulty converging on a
965
00:32:32,917 --> 00:32:36,087
kind of a uniform format so in terms of
966
00:32:36,087 --> 00:32:37,055
so how this is done in
967
00:32:37,055 --> 00:32:38,289
bids is you have a gudak
968
00:32:38,723 --> 00:32:41,125
and then everybody can comment on that
969
00:32:41,726 --> 00:32:44,395
and so for example um it's
970
00:32:44,395 --> 00:32:45,930
it's so one of the interesting
971
00:32:46,097 --> 00:32:48,533
conversations that we had was electrodes
972
00:32:48,566 --> 00:32:50,201
like the is are actually named
973
00:32:50,201 --> 00:32:51,970
differently across different
974
00:32:52,270 --> 00:32:54,706
because when we have stereo eeg probes
975
00:32:55,039 --> 00:32:56,874
they call the stereo eeg
976
00:32:57,075 --> 00:32:58,576
electrode is called an electrode
977
00:32:58,576 --> 00:33:00,278
it has multiple contacts on it so it can
978
00:33:00,278 --> 00:33:02,213
have say eight contacts and
979
00:33:02,213 --> 00:33:04,015
so we got comments i will say
980
00:33:04,015 --> 00:33:05,350
that lots of people fight about that i
981
00:33:05,350 --> 00:33:06,484
always insist even talking
982
00:33:06,484 --> 00:33:07,485
to patients you have your
983
00:33:07,485 --> 00:33:09,020
electrode lead and you have electrodes on
984
00:33:09,020 --> 00:33:10,722
it and so these types of
985
00:33:10,822 --> 00:33:12,523
terminology but the the way in
986
00:33:12,523 --> 00:33:14,092
which this was a way in which is when is
987
00:33:14,092 --> 00:33:15,259
what is most practical for
988
00:33:15,259 --> 00:33:16,794
the community we there is an 80
989
00:33:16,794 --> 00:33:18,496
20 decision rule which generally chips in
990
00:33:18,496 --> 00:33:19,597
so you try to get input from
991
00:33:19,597 --> 00:33:21,866
many people and if all of the
992
00:33:21,899 --> 00:33:24,202
people call a single electrode contact
993
00:33:24,202 --> 00:33:26,070
and also defined in the
994
00:33:26,371 --> 00:33:27,372
you know we sometimes even
995
00:33:27,572 --> 00:33:29,607
sometimes we even looks on wikipedia or
996
00:33:29,607 --> 00:33:30,808
like in dictionaries to
997
00:33:30,808 --> 00:33:31,976
find like the definition of an
998
00:33:31,976 --> 00:33:34,145
electrode is actually a hardware contact
999
00:33:34,145 --> 00:33:36,447
that is in contact with tissue so
1000
00:33:36,481 --> 00:33:37,482
everybody agreed that
1001
00:33:37,482 --> 00:33:40,318
like a contact is an electrode and you
1002
00:33:40,318 --> 00:33:42,019
know so there's those types of
1003
00:33:42,019 --> 00:33:42,920
definitions generally
1004
00:33:42,920 --> 00:33:44,856
worked out using a combination between
1005
00:33:45,123 --> 00:33:45,957
you know actually going
1006
00:33:45,957 --> 00:33:47,325
back to the dictionary
1007
00:33:47,658 --> 00:33:49,994
and just asking like what is 40 percent
1008
00:33:49,994 --> 00:33:51,496
of the field kind of agree on
1009
00:33:51,963 --> 00:33:53,464
you need to get a lot of community input
1010
00:33:53,464 --> 00:33:54,265
on those so sometimes there
1011
00:33:54,265 --> 00:33:55,433
were like in the google doctor
1012
00:33:55,433 --> 00:33:57,835
there were like 10 like comment like
1013
00:33:57,835 --> 00:33:59,771
lists like long comments to kind of
1014
00:33:59,771 --> 00:34:00,805
manage and to kind of
1015
00:34:00,805 --> 00:34:02,673
see what does the field think and then
1016
00:34:02,974 --> 00:34:04,442
that was what was what what
1017
00:34:04,442 --> 00:34:05,743
went into the specification
1018
00:34:05,743 --> 00:34:08,246
in the end but like now like it's like
1019
00:34:08,312 --> 00:34:09,680
one of the fun things is that
1020
00:34:09,881 --> 00:34:11,115
you know to to jump to you is
1021
00:34:11,115 --> 00:34:13,985
that you know the community of ogbm also
1022
00:34:13,985 --> 00:34:15,453
has really supported beds
1023
00:34:15,853 --> 00:34:17,221
yeah yeah so it's become
1024
00:34:17,221 --> 00:34:19,123
a big thing in like the human brain
1025
00:34:19,123 --> 00:34:20,625
mapping yeah there's a
1026
00:34:20,625 --> 00:34:22,727
recognition you know the crisis
1027
00:34:22,727 --> 00:34:25,530
and replication and that starts with
1028
00:34:25,530 --> 00:34:28,232
making sure data can be reused and
1029
00:34:28,232 --> 00:34:30,201
reanalyzed and interchanged
1030
00:34:30,201 --> 00:34:33,971
and that it's a reliable pipeline from
1031
00:34:34,072 --> 00:34:36,007
data source to analysis and
1032
00:34:36,007 --> 00:34:38,509
we use bids by the way for our
1033
00:34:38,543 --> 00:34:41,045
intracranial EEG data as well some of
1034
00:34:41,045 --> 00:34:43,481
which is acquired for example in China
1035
00:34:43,781 --> 00:34:44,649
through collaboration
1036
00:34:44,649 --> 00:34:48,019
in in Cambridge so it is extremely
1037
00:34:48,019 --> 00:34:50,254
helpful and yeah as an
1038
00:34:50,254 --> 00:34:52,290
uptake as a user or someone who's
1039
00:34:52,423 --> 00:34:54,425
taking it up it's interesting to learn
1040
00:34:55,092 --> 00:34:58,162
how complicated and hard
1041
00:34:58,162 --> 00:34:59,497
work it was in developing
1042
00:34:59,497 --> 00:35:01,766
it of course reaching a consensus like
1043
00:35:01,766 --> 00:35:03,701
that yeah but even structuring like
1044
00:35:03,734 --> 00:35:04,902
ongoing like making sure
1045
00:35:04,902 --> 00:35:06,270
that your data are structured according
1046
00:35:06,270 --> 00:35:07,205
to the standards still i
1047
00:35:07,205 --> 00:35:08,506
mean it's an ongoing if it takes
1048
00:35:08,573 --> 00:35:10,708
a lot of time of course but but if it
1049
00:35:10,708 --> 00:35:14,112
helps a user to read many to read your
1050
00:35:14,112 --> 00:35:15,313
data i think it's great
1051
00:35:15,313 --> 00:35:17,215
because that's why we share our data with
1052
00:35:17,215 --> 00:35:18,382
publications is because
1053
00:35:18,382 --> 00:35:19,650
we want it to be reused
1054
00:35:20,251 --> 00:35:22,753
um we don't want it to sit and basically
1055
00:35:22,954 --> 00:35:25,223
yeah so yeah how do you view
1056
00:35:25,356 --> 00:35:27,792
oh sorry no go how do you view
1057
00:35:27,792 --> 00:35:32,430
ohbm do you view it as a society where uh
1058
00:35:32,597 --> 00:35:35,433
what your duty is is to
1059
00:35:36,267 --> 00:35:38,002
provide let's say a substrate
1060
00:35:38,035 --> 00:35:41,272
for people to meet and uh and then from
1061
00:35:41,272 --> 00:35:43,174
there things will ground up
1062
00:35:43,441 --> 00:35:46,210
become usable and and sort
1063
00:35:46,210 --> 00:35:48,546
of rise to relevance or do you see the
1064
00:35:48,546 --> 00:35:53,084
organization as having a a distinct
1065
00:35:53,150 --> 00:35:55,119
responsibility to say hey
1066
00:35:55,119 --> 00:35:56,354
we think these are the things that are
1067
00:35:56,354 --> 00:35:58,122
important in human brain mapping
1068
00:35:58,122 --> 00:35:59,724
worldwide and we want to
1069
00:35:59,724 --> 00:36:03,394
create particular opportunities well the
1070
00:36:03,394 --> 00:36:04,862
organization is or
1071
00:36:04,862 --> 00:36:07,832
ohbm it's community driven
1072
00:36:08,065 --> 00:36:12,904
and it's many things it began as you no
1073
00:36:12,904 --> 00:36:15,006
doubt know as a series of meetings
1074
00:36:15,606 --> 00:36:17,775
in the late 90s i think the first one
1075
00:36:17,775 --> 00:36:18,609
might have been in san
1076
00:36:18,609 --> 00:36:22,914
antonio um and uh it was very much
1077
00:36:22,947 --> 00:36:26,250
based on those meetings so from meeting
1078
00:36:26,250 --> 00:36:27,518
to meeting there
1079
00:36:27,518 --> 00:36:29,854
wasn't necessarily a society
1080
00:36:30,154 --> 00:36:32,790
there was an endeavor basically which
1081
00:36:32,790 --> 00:36:34,859
motivated the meetings you
1082
00:36:34,859 --> 00:36:35,927
know you had the human genome
1083
00:36:35,927 --> 00:36:37,695
project so then there was a notion of
1084
00:36:37,695 --> 00:36:38,863
doing something like that
1085
00:36:38,863 --> 00:36:40,197
with human brain mapping
1086
00:36:40,531 --> 00:36:44,135
like a big global effort to map the human
1087
00:36:44,135 --> 00:36:46,003
brain so when you look at
1088
00:36:46,003 --> 00:36:47,705
the formative the the people
1089
00:36:47,738 --> 00:36:50,708
formed OHBM and they were from Europe
1090
00:36:50,708 --> 00:36:51,576
they're from England they
1091
00:36:51,576 --> 00:36:52,944
were from the United States
1092
00:36:52,944 --> 00:36:56,380
Canada or Australia the motivation was to
1093
00:36:57,114 --> 00:36:57,949
do the human brain
1094
00:36:57,949 --> 00:37:01,552
project but um the actuality
1095
00:37:01,552 --> 00:37:06,023
with these annual meetings and um the the
1096
00:37:06,057 --> 00:37:08,626
organization survived
1097
00:37:08,626 --> 00:37:09,660
from meeting to meeting
1098
00:37:10,027 --> 00:37:11,762
through membership but largely through
1099
00:37:11,762 --> 00:37:12,663
registration and
1100
00:37:12,663 --> 00:37:13,864
attendance of the meeting
1101
00:37:14,665 --> 00:37:17,235
when i first got involved as uh on the
1102
00:37:17,235 --> 00:37:18,769
council of our HPM i was the
1103
00:37:18,769 --> 00:37:21,672
treasurer and probably that
1104
00:37:21,672 --> 00:37:24,041
was that was a time in which we tried to
1105
00:37:24,041 --> 00:37:25,910
go how can we make this more
1106
00:37:25,910 --> 00:37:27,278
than an organization how do
1107
00:37:27,278 --> 00:37:29,880
we make it a society with annual
1108
00:37:29,914 --> 00:37:31,816
activities so people want to
1109
00:37:31,816 --> 00:37:33,417
be a member of the organization
1110
00:37:33,417 --> 00:37:34,619
whether or not they go to the annual
1111
00:37:34,619 --> 00:37:36,153
meeting and i'm sure this had
1112
00:37:36,153 --> 00:37:38,155
been with every organization
1113
00:37:38,389 --> 00:37:47,198
so we did a lot of stuff as an as the
1114
00:37:47,198 --> 00:37:49,300
council and beyond as a community to
1115
00:37:49,300 --> 00:37:50,334
support the kabita's
1116
00:37:50,334 --> 00:37:53,671
papers the white papers standard ways of
1117
00:37:53,671 --> 00:37:55,773
reporting the analysis of
1118
00:37:55,773 --> 00:37:59,443
fMRI data and then MEG data and
1119
00:37:59,443 --> 00:38:03,047
also to support the bids projects and
1120
00:38:03,080 --> 00:38:04,782
other big open data
1121
00:38:04,782 --> 00:38:08,119
projects but also the intellectual
1122
00:38:08,152 --> 00:38:10,755
exchange i mean it's great and obviously
1123
00:38:10,755 --> 00:38:12,356
it's like the ground to
1124
00:38:12,356 --> 00:38:15,326
have standard data um curation
1125
00:38:15,393 --> 00:38:18,062
and archiving but you need a common
1126
00:38:18,062 --> 00:38:20,164
understanding of principled
1127
00:38:20,164 --> 00:38:22,300
approaches to to analyze the data
1128
00:38:22,767 --> 00:38:25,670
or approaches in in plural otherwise you
1129
00:38:25,670 --> 00:38:27,405
get caught up with just
1130
00:38:27,405 --> 00:38:29,073
one way of analyzing the
1131
00:38:29,073 --> 00:38:32,143
data sort of dogma so it's always been as
1132
00:38:32,143 --> 00:38:33,811
well about new and
1133
00:38:33,811 --> 00:38:37,915
innovative approaches to analyzing
1134
00:38:38,182 --> 00:38:39,950
so that people across the field did more
1135
00:38:39,950 --> 00:38:42,053
or less the same thing so to
1136
00:38:42,053 --> 00:38:44,522
say to to grow into a society
1137
00:38:44,989 --> 00:38:46,691
you know we've had chapters which have
1138
00:38:46,691 --> 00:38:47,658
annual meetings like the
1139
00:38:47,658 --> 00:38:48,793
Australian chapter we have
1140
00:38:48,793 --> 00:38:51,462
about six or seven hundred members now we
1141
00:38:51,462 --> 00:38:52,363
have special interest
1142
00:38:52,363 --> 00:38:55,099
groups open science climate
1143
00:38:55,099 --> 00:38:58,736
change ECRs there's an art special
1144
00:38:58,736 --> 00:38:59,837
interest groups what's an
1145
00:38:59,837 --> 00:39:02,273
ECR early career researcher
1146
00:39:02,606 --> 00:39:06,110
so to give E and MCRs opportunity to
1147
00:39:06,110 --> 00:39:08,479
influence the councils and the
1148
00:39:08,479 --> 00:39:10,114
organization because they're
1149
00:39:10,114 --> 00:39:13,150
often the most innovative thinkers and
1150
00:39:13,150 --> 00:39:15,219
also they identify problems
1151
00:39:15,219 --> 00:39:16,454
that people have been in the
1152
00:39:16,454 --> 00:39:19,557
organization for years may not prioritize
1153
00:39:19,590 --> 00:39:21,125
or even identify so we get
1154
00:39:21,125 --> 00:39:23,194
an interesting dynamic going
1155
00:39:23,260 --> 00:39:26,797
there as well and try to curate content
1156
00:39:26,797 --> 00:39:27,865
that's coming online
1157
00:39:28,365 --> 00:39:30,000
continually through the year there's
1158
00:39:30,034 --> 00:39:31,869
comcoms committee a communications
1159
00:39:31,869 --> 00:39:34,605
committee which is extremely active so
1160
00:39:34,605 --> 00:39:35,873
there's content coming
1161
00:39:35,906 --> 00:39:41,412
coming into the uh OHBM ecosystem um the
1162
00:39:41,412 --> 00:39:42,380
content of the annual
1163
00:39:42,380 --> 00:39:43,781
meeting used to be pay
1164
00:39:43,981 --> 00:39:45,750
paywall more or less you had to be a
1165
00:39:45,750 --> 00:39:47,618
member to access it and
1166
00:39:47,618 --> 00:39:49,387
then it would be released more
1167
00:39:49,954 --> 00:39:53,391
later on recently we've put all of that
1168
00:39:53,391 --> 00:39:55,693
content onto youtube so
1169
00:39:55,693 --> 00:39:57,094
just about every talk that was
1170
00:39:57,128 --> 00:39:59,029
delivered in the last five to ten years
1171
00:39:59,029 --> 00:40:00,331
can be viewed on youtube
1172
00:40:01,198 --> 00:40:02,833
and that's a great initiative
1173
00:40:02,833 --> 00:40:06,137
for open science but maybe it also you
1174
00:40:06,137 --> 00:40:07,371
know we need to be aware
1175
00:40:07,371 --> 00:40:09,173
when doing like that doing that
1176
00:40:09,673 --> 00:40:11,709
that doesn't incentivize being a member
1177
00:40:11,709 --> 00:40:15,413
of OHBM and if we're only
1178
00:40:15,579 --> 00:40:16,781
getting members who can go to
1179
00:40:16,781 --> 00:40:19,583
the annual meeting then we're privileging
1180
00:40:19,650 --> 00:40:20,818
richer labs in richer
1181
00:40:20,818 --> 00:40:22,853
countries because not all labs can
1182
00:40:22,853 --> 00:40:25,189
afford to go to the annual meeting so
1183
00:40:25,189 --> 00:40:25,856
we're trying to get this
1184
00:40:25,856 --> 00:40:28,459
balance between getting more
1185
00:40:28,459 --> 00:40:31,095
members that are globally diverse and get
1186
00:40:31,095 --> 00:40:32,396
value for being a member
1187
00:40:32,930 --> 00:40:34,598
and doing things that are open
1188
00:40:34,598 --> 00:40:37,134
and freely available yeah well i mean i
1189
00:40:37,134 --> 00:40:38,736
think uh if we think about what
1190
00:40:38,736 --> 00:40:40,371
democratizes information
1191
00:40:40,905 --> 00:40:42,573
we're old enough now to where we can
1192
00:40:42,573 --> 00:40:44,875
remember a time i mean before the
1193
00:40:44,909 --> 00:40:46,343
internet you know i remember
1194
00:40:46,410 --> 00:40:47,711
i remember being young and if you knew
1195
00:40:47,711 --> 00:40:50,047
facts about rock bands in
1196
00:40:50,047 --> 00:40:51,081
high school i mean if you
1197
00:40:51,182 --> 00:40:52,449
knew certain facts about the grateful
1198
00:40:52,449 --> 00:40:54,185
dead or shows they'd done or something
1199
00:40:54,218 --> 00:40:55,252
you know you'd say oh well
1200
00:40:55,553 --> 00:40:58,422
you know there's a bootleg of you know a
1201
00:40:58,456 --> 00:41:00,891
conference conference concert
1202
00:41:00,891 --> 00:41:02,059
they did in winter land in a
1203
00:41:02,059 --> 00:41:04,361
particular year and the particular song
1204
00:41:04,795 --> 00:41:06,730
was great you know that
1205
00:41:06,730 --> 00:41:07,998
that was there was some
1206
00:41:08,432 --> 00:41:10,434
sort of uh that was cool there was some
1207
00:41:10,501 --> 00:41:12,136
aesthetic to it you know we all sort of
1208
00:41:12,136 --> 00:41:12,837
have the hitchhiker's
1209
00:41:12,837 --> 00:41:14,805
guide to the galaxy in our hand right we
1210
00:41:14,805 --> 00:41:16,974
all have access to internet um
1211
00:41:16,974 --> 00:41:18,442
and that's democratized a lot
1212
00:41:18,442 --> 00:41:23,647
um do you think that uh that in some ways
1213
00:41:23,647 --> 00:41:24,381
the scientific
1214
00:41:24,381 --> 00:41:26,250
communities should be moving past
1215
00:41:26,684 --> 00:41:28,786
uh physical interfaces and there should
1216
00:41:28,786 --> 00:41:30,454
be well it's an interesting
1217
00:41:31,222 --> 00:41:33,090
discussion which comes up at
1218
00:41:33,090 --> 00:41:36,660
our hbm as we try and go to parts of the
1219
00:41:36,660 --> 00:41:39,897
world and we do go to you
1220
00:41:39,897 --> 00:41:42,733
know it's in a different city
1221
00:41:43,000 --> 00:41:45,202
you know it's usually in europe southeast
1222
00:41:45,202 --> 00:41:47,671
asia australia twice now
1223
00:41:47,705 --> 00:41:48,906
north america including
1224
00:41:48,906 --> 00:41:51,175
canada of the united states we're looking
1225
00:41:51,175 --> 00:41:52,610
at going to latin or
1226
00:41:52,610 --> 00:41:55,012
central america so taking the
1227
00:41:55,012 --> 00:41:57,648
meeting to places where people can't
1228
00:41:57,648 --> 00:42:01,685
travel versus just giving access online
1229
00:42:01,685 --> 00:42:02,653
to all the information
1230
00:42:02,653 --> 00:42:04,922
but there's definitely advantages in my
1231
00:42:04,922 --> 00:42:07,191
experience of face-to-face meetings
1232
00:42:07,558 --> 00:42:08,692
there's a lot of networking
1233
00:42:08,726 --> 00:42:10,528
that goes on there's a lot of
1234
00:42:10,528 --> 00:42:11,996
intellectual exchange in a
1235
00:42:11,996 --> 00:42:13,764
very intense couple of days
1236
00:42:14,131 --> 00:42:15,933
there's question and answers there's
1237
00:42:15,966 --> 00:42:18,369
there's value in my mind to the
1238
00:42:18,369 --> 00:42:19,870
face-to-face meetings
1239
00:42:20,337 --> 00:42:22,940
beyond the online content and during
1240
00:42:22,973 --> 00:42:25,943
covid for one or two years oh
1241
00:42:25,943 --> 00:42:27,912
bm's annual meeting was purely
1242
00:42:27,912 --> 00:42:30,981
virtual and um you know i think it
1243
00:42:30,981 --> 00:42:32,650
struggled to have the same sort of
1244
00:42:32,650 --> 00:42:34,251
vibrancy and the same sort of
1245
00:42:34,685 --> 00:42:36,987
intellectual value that it has in
1246
00:42:36,987 --> 00:42:39,323
face-to-face meetings even though the
1247
00:42:39,323 --> 00:42:40,491
people who put those
1248
00:42:40,491 --> 00:42:42,092
meetings together put a lot of energy
1249
00:42:42,092 --> 00:42:44,361
into it you know what's really
1250
00:42:44,361 --> 00:42:45,563
interesting when you ask me
1251
00:42:45,563 --> 00:42:48,332
now that i'm chair of our hbm what sort
1252
00:42:48,332 --> 00:42:51,201
of role we had our hbm in
1253
00:42:51,302 --> 00:42:54,572
britain on the ancestral lands
1254
00:42:54,572 --> 00:42:57,141
of the tuck yagura people and at the end
1255
00:42:57,141 --> 00:42:58,409
look i walked around
1256
00:42:58,409 --> 00:43:00,210
because i needed to make sensible
1257
00:43:00,244 --> 00:43:02,780
remarks at the closing ceremony as the
1258
00:43:02,780 --> 00:43:04,248
chair and next year at the opening
1259
00:43:04,248 --> 00:43:06,350
ceremony so um you know
1260
00:43:06,383 --> 00:43:07,851
i went to heaps of talks i went to the
1261
00:43:07,851 --> 00:43:09,019
poster room i went to the
1262
00:43:09,019 --> 00:43:11,455
sponsors room by virtue of
1263
00:43:11,755 --> 00:43:13,824
sense of responsibility i went to club
1264
00:43:13,824 --> 00:43:16,794
night i went and viewed
1265
00:43:16,794 --> 00:43:19,496
the student postdocs night i
1266
00:43:19,897 --> 00:43:22,766
moved vigorously on the dance floor i've
1267
00:43:22,766 --> 00:43:26,270
seen photographs that uh might be
1268
00:43:26,270 --> 00:43:27,605
described as dancing
1269
00:43:28,072 --> 00:43:31,342
and um i looked at people yarning which
1270
00:43:31,342 --> 00:43:32,443
is a sort of australian
1271
00:43:32,443 --> 00:43:33,877
term it's an indigenous term
1272
00:43:34,311 --> 00:43:36,080
and that was the whole fabric of the of
1273
00:43:36,080 --> 00:43:37,047
the meeting and then when
1274
00:43:37,047 --> 00:43:38,248
i went to do the closing
1275
00:43:38,248 --> 00:43:41,619
ceremony and i thought we we had um an
1276
00:43:41,619 --> 00:43:44,121
aunty open and welcome to country i i
1277
00:43:44,121 --> 00:43:44,722
thought well what are
1278
00:43:44,722 --> 00:43:46,957
some of the murals that indigenous people
1279
00:43:46,957 --> 00:43:47,925
have done of meeting in
1280
00:43:47,992 --> 00:43:50,127
in brisbane and sure enough
1281
00:43:50,394 --> 00:43:52,029
you know i found a beautiful mural there
1282
00:43:52,029 --> 00:43:53,063
was the river it was
1283
00:43:53,063 --> 00:43:54,498
an artwork not a mural
1284
00:43:54,798 --> 00:43:57,635
uh there was the yarning circles big ones
1285
00:43:57,768 --> 00:43:58,268
i don't know what that
1286
00:43:58,268 --> 00:43:59,870
is yarning circle is a
1287
00:44:00,137 --> 00:44:01,972
physical depiction of people sitting
1288
00:44:01,972 --> 00:44:05,342
around having a yarn and there there can
1289
00:44:05,342 --> 00:44:07,277
be big yarning circles
1290
00:44:07,277 --> 00:44:09,013
that everyone comes to there can be a
1291
00:44:09,013 --> 00:44:09,880
yarning circles for
1292
00:44:09,880 --> 00:44:12,549
women's business we had a women's
1293
00:44:12,683 --> 00:44:16,253
special interest group or i should say a
1294
00:44:16,253 --> 00:44:17,488
round table we had round
1295
00:44:17,488 --> 00:44:18,622
tables they're basically
1296
00:44:18,622 --> 00:44:22,192
yarning circles um we had the ecrs and in
1297
00:44:22,192 --> 00:44:23,127
this big beautiful
1298
00:44:23,127 --> 00:44:24,862
picture you could see the young
1299
00:44:24,862 --> 00:44:27,431
spirits dancing around and you could see
1300
00:44:27,431 --> 00:44:28,699
elements of nature because
1301
00:44:28,699 --> 00:44:30,134
people went jogging in the
1302
00:44:30,134 --> 00:44:31,101
morning and they jogged through the
1303
00:44:31,101 --> 00:44:33,704
botanical garden and uh it
1304
00:44:33,804 --> 00:44:36,473
occurred to me uh without too
1305
00:44:36,473 --> 00:44:38,642
many interruptions without too many um
1306
00:44:38,675 --> 00:44:41,745
top down interference without the
1307
00:44:41,745 --> 00:44:43,280
political interference
1308
00:44:43,614 --> 00:44:46,884
humans over thousands of years
1309
00:44:46,884 --> 00:44:49,620
self-organize to have to
1310
00:44:49,620 --> 00:44:51,355
yarn to meet in different
1311
00:44:51,822 --> 00:44:55,626
forums to to talk in big circles small
1312
00:44:55,626 --> 00:44:58,395
circles to have nature to
1313
00:44:58,395 --> 00:45:00,164
have dance you know dancing is a
1314
00:45:00,164 --> 00:45:02,166
big part of our culture you mentioned
1315
00:45:02,433 --> 00:45:04,902
heavy metal it's more head-panging than
1316
00:45:04,902 --> 00:45:06,303
dancing although it's
1317
00:45:06,370 --> 00:45:08,739
sorry to the heavy pants i'm sure there's
1318
00:45:08,739 --> 00:45:10,140
many types of there's some
1319
00:45:10,140 --> 00:45:13,177
nuances there yeah uh dance
1320
00:45:13,177 --> 00:45:16,146
is part of european history dance is part
1321
00:45:16,146 --> 00:45:17,081
of indigenous culture a
1322
00:45:17,081 --> 00:45:19,183
huge part that's how i see
1323
00:45:19,183 --> 00:45:23,353
OHBM you know we have to promote and
1324
00:45:23,353 --> 00:45:24,555
support these
1325
00:45:24,555 --> 00:45:27,124
discussions and vibrant discussions
1326
00:45:27,858 --> 00:45:32,229
but um prevent too much of reinvention
1327
00:45:32,996 --> 00:45:35,499
prevent too much top down
1328
00:45:35,532 --> 00:45:37,501
um activism which we see at
1329
00:45:37,501 --> 00:45:39,536
institutes a new director comes along and
1330
00:45:39,536 --> 00:45:40,237
wants to have their
1331
00:45:40,237 --> 00:45:42,573
footprint so they have all these
1332
00:45:42,873 --> 00:45:45,342
uh you know they're reinventing stuff
1333
00:45:45,342 --> 00:45:46,744
they're spending all this money and
1334
00:45:46,777 --> 00:45:47,978
leaving their legacy
1335
00:45:48,545 --> 00:45:50,280
and i think the best role i can do as
1336
00:45:50,280 --> 00:45:53,717
chair is you know to curate all the
1337
00:45:53,717 --> 00:45:54,885
yarning circles and to
1338
00:45:54,885 --> 00:45:58,055
listen and to collaborate and to hear
1339
00:45:58,055 --> 00:45:58,889
things that might be
1340
00:45:58,922 --> 00:46:00,190
uncomfortable and bring them
1341
00:46:00,491 --> 00:46:03,026
back into the organization but not to
1342
00:46:03,026 --> 00:46:05,028
meddle not to think i can do things
1343
00:46:05,028 --> 00:46:06,830
better than other people
1344
00:46:06,830 --> 00:46:08,966
who have been contributing and who are
1345
00:46:08,966 --> 00:46:12,269
contributing to OHBM and it's
1346
00:46:12,269 --> 00:46:13,237
a meeting with a lot of young
1347
00:46:13,237 --> 00:46:16,707
people typically at an OHBM there's like
1348
00:46:16,707 --> 00:46:17,741
30 percent of people are
1349
00:46:17,741 --> 00:46:18,976
coming for the first time
1350
00:46:19,443 --> 00:46:20,444
another 30 percent of
1351
00:46:20,444 --> 00:46:22,579
amcr's i think that's fantastic
1352
00:46:24,915 --> 00:46:27,117
something you and i talked about uh this
1353
00:46:27,117 --> 00:46:29,720
morning and i think it
1354
00:46:29,787 --> 00:46:32,322
it's worth discussing is the
1355
00:46:32,856 --> 00:46:36,126
um the role of journals and the
1356
00:46:36,160 --> 00:46:37,861
connections between societies and
1357
00:46:37,861 --> 00:46:39,329
journals and one of the
1358
00:46:39,496 --> 00:46:41,565
you know we talked about uh the journal
1359
00:46:41,565 --> 00:46:43,367
of neuroscience and how
1360
00:46:44,001 --> 00:46:45,335
i you know sort of feel
1361
00:46:45,736 --> 00:46:47,938
my personal opinion is that rather than
1362
00:46:47,938 --> 00:46:49,139
being a glamour journal
1363
00:46:49,540 --> 00:46:50,407
where it's associated with
1364
00:46:50,407 --> 00:46:52,276
prestige that it should be associated
1365
00:46:52,276 --> 00:46:54,211
purely with quality and there shouldn't
1366
00:46:54,211 --> 00:46:55,412
be there shouldn't be
1367
00:46:55,412 --> 00:46:57,848
a top down uh you know sort of on the
1368
00:46:57,848 --> 00:46:59,783
level of editors and and and
1369
00:46:59,783 --> 00:47:00,784
then maybe the reviewers the
1370
00:47:00,784 --> 00:47:02,286
editors pick the determination of what's
1371
00:47:02,319 --> 00:47:03,987
fashionable and what's not but
1372
00:47:03,987 --> 00:47:05,422
instead it should be more just
1373
00:47:05,422 --> 00:47:07,791
that once quality criteria have been met
1374
00:47:07,791 --> 00:47:08,792
and and it's assessed
1375
00:47:08,792 --> 00:47:10,894
for it you know is it is it
1376
00:47:10,894 --> 00:47:13,430
reproducible is it uh technically correct
1377
00:47:13,430 --> 00:47:14,331
in terms of how data
1378
00:47:14,698 --> 00:47:15,999
we're not we're analyzed and
1379
00:47:15,999 --> 00:47:17,634
are there claims that are directly false
1380
00:47:17,634 --> 00:47:18,468
viable that are in it
1381
00:47:18,602 --> 00:47:19,603
that maybe it should then be
1382
00:47:19,603 --> 00:47:21,138
published and there should be a secondary
1383
00:47:21,572 --> 00:47:24,174
um the secondary market for
1384
00:47:24,208 --> 00:47:25,909
prestige by the community and
1385
00:47:25,909 --> 00:47:27,611
that because it's the the purpose of it
1386
00:47:27,611 --> 00:47:28,679
is to serve the needs of a
1387
00:47:28,679 --> 00:47:31,381
society um having connections
1388
00:47:31,381 --> 00:47:35,586
between journals within um a uh within a
1389
00:47:35,586 --> 00:47:36,553
certain community and the
1390
00:47:36,553 --> 00:47:38,789
societies uh that that are
1391
00:47:38,789 --> 00:47:40,257
substrate for the gathering of those
1392
00:47:40,257 --> 00:47:43,460
individuals it's good to foster sort of a
1393
00:47:43,460 --> 00:47:44,394
literature community
1394
00:47:44,394 --> 00:47:45,963
and i think that i don't know if you
1395
00:47:45,963 --> 00:47:47,331
could uh we were talking
1396
00:47:47,331 --> 00:47:48,532
a little bit about the um
1397
00:47:49,032 --> 00:47:50,400
the awards associated with that i think
1398
00:47:50,400 --> 00:47:51,201
it's really neat because
1399
00:47:51,201 --> 00:47:52,736
a big career milestone for
1400
00:47:52,736 --> 00:47:56,039
dora was when she uh had the um the top
1401
00:47:56,039 --> 00:47:57,241
paper of the year in human
1402
00:47:57,241 --> 00:47:58,876
brain mapping in 2012 that was
1403
00:47:58,876 --> 00:48:01,712
like a big thing congratulations yeah
1404
00:48:01,778 --> 00:48:04,047
it's not 12 years ago but or
1405
00:48:04,047 --> 00:48:06,283
13 years ago but uh i think it'd
1406
00:48:06,283 --> 00:48:07,451
be interesting to hear from your
1407
00:48:07,451 --> 00:48:11,121
perspective about the role that the
1408
00:48:11,622 --> 00:48:13,223
society should have in
1409
00:48:13,223 --> 00:48:16,093
the production of or the dissemination of
1410
00:48:16,093 --> 00:48:17,294
scientific content and
1411
00:48:17,294 --> 00:48:18,896
the constraints and boundary
1412
00:48:18,896 --> 00:48:20,564
conditions that they should place on that
1413
00:48:21,565 --> 00:48:23,233
well you know our hbm
1414
00:48:23,367 --> 00:48:25,269
doesn't typically traditionally
1415
00:48:25,269 --> 00:48:27,537
didn't have a society and didn't have a
1416
00:48:27,537 --> 00:48:28,672
society journal like the
1417
00:48:28,672 --> 00:48:29,973
society for neuroscience
1418
00:48:30,641 --> 00:48:33,710
but when this ambition to create the
1419
00:48:33,710 --> 00:48:35,279
human brain mapping project
1420
00:48:35,279 --> 00:48:37,047
or something like it came about
1421
00:48:37,648 --> 00:48:40,217
uh there were two journals that were
1422
00:48:40,217 --> 00:48:41,351
launched human brain
1423
00:48:41,351 --> 00:48:42,886
mapping and your image
1424
00:48:43,453 --> 00:48:47,691
at that time in the 90s most non-society
1425
00:48:47,691 --> 00:48:49,526
journals were published by
1426
00:48:49,927 --> 00:48:51,428
for commercial publishing
1427
00:48:51,428 --> 00:48:56,667
houses like el severe wiley springer and
1428
00:48:56,667 --> 00:48:58,435
so the journals which now
1429
00:48:58,435 --> 00:48:59,603
include brain structure and
1430
00:49:00,470 --> 00:49:02,739
were published by those commercial
1431
00:49:02,739 --> 00:49:04,808
entities but they were still community
1432
00:49:04,808 --> 00:49:06,376
journals so they were
1433
00:49:06,376 --> 00:49:09,579
still if you went to our hbm 90 of the
1434
00:49:09,579 --> 00:49:10,781
content was published in
1435
00:49:10,781 --> 00:49:11,915
one of those three journals
1436
00:49:12,215 --> 00:49:13,984
and people were very proud of their work
1437
00:49:13,984 --> 00:49:15,018
and the journey and the
1438
00:49:15,018 --> 00:49:17,087
organization had journal awards
1439
00:49:17,087 --> 00:49:20,190
for those papers and you know the editors
1440
00:49:20,223 --> 00:49:21,758
these were these were
1441
00:49:21,758 --> 00:49:23,627
essentially society journals
1442
00:49:24,061 --> 00:49:26,330
the editors and the reviewers and the
1443
00:49:26,330 --> 00:49:28,165
editor in chief were regular
1444
00:49:28,165 --> 00:49:30,834
members of our hbm and so they
1445
00:49:30,834 --> 00:49:35,539
were seen as being legitimate vessels for
1446
00:49:35,539 --> 00:49:37,341
the communication and
1447
00:49:38,075 --> 00:49:40,043
over the years developed very
1448
00:49:40,043 --> 00:49:43,313
high rigorous standards um so that if you
1449
00:49:43,313 --> 00:49:44,781
looked at nature or nature
1450
00:49:44,781 --> 00:49:46,983
neuroscience at a neuroimaging
1451
00:49:46,983 --> 00:49:48,919
paper and you went to the reference list
1452
00:49:48,919 --> 00:49:51,788
90 of the how did we do
1453
00:49:51,788 --> 00:49:53,323
this papers were published in
1454
00:49:53,490 --> 00:49:56,994
image hbm and brain structure and
1455
00:49:56,994 --> 00:49:58,028
function particularly neuro
1456
00:49:58,028 --> 00:49:59,529
image which is a big journal
1457
00:50:00,030 --> 00:50:02,632
publishing a thousand papers a year now
1458
00:50:02,666 --> 00:50:03,967
you are the editor in chief
1459
00:50:04,001 --> 00:50:06,203
yeah so i went from being a
1460
00:50:06,203 --> 00:50:09,673
very erstwhile reviewer because i was a
1461
00:50:09,673 --> 00:50:12,275
methods trained person in
1462
00:50:12,275 --> 00:50:15,379
physics and a reliable reviewer
1463
00:50:15,712 --> 00:50:17,981
at some stage i became a handling editor
1464
00:50:18,014 --> 00:50:19,149
in the methods section
1465
00:50:19,783 --> 00:50:22,252
and then through a series of
1466
00:50:22,285 --> 00:50:25,622
gratuitous and other misadventures i
1467
00:50:25,622 --> 00:50:26,456
eventually became the
1468
00:50:26,456 --> 00:50:29,559
section editor for methods um and i
1469
00:50:29,626 --> 00:50:32,429
reliably handled therefore hundreds of
1470
00:50:32,429 --> 00:50:34,898
papers a year because it's
1471
00:50:34,898 --> 00:50:37,100
a very busy journal um and
1472
00:50:37,100 --> 00:50:39,002
because neuro image was a technically
1473
00:50:39,002 --> 00:50:40,737
methods focused journal
1474
00:50:41,071 --> 00:50:42,706
and i was publishing methods
1475
00:50:42,706 --> 00:50:46,043
and modeling and once again proved that i
1476
00:50:46,043 --> 00:50:47,043
could handle a lot of
1477
00:50:47,043 --> 00:50:49,179
papers in my otherwise busy life
1478
00:50:49,713 --> 00:50:52,416
outgoing editor in chief so it was it was
1479
00:50:52,416 --> 00:50:53,583
kyle friston and then it
1480
00:50:53,583 --> 00:50:55,085
was peter vanetini and peter
1481
00:50:55,118 --> 00:50:57,421
handed over to me as the editor in chief
1482
00:50:57,921 --> 00:50:58,955
so i became the editor in
1483
00:50:58,955 --> 00:51:00,657
chief of this big journal
1484
00:51:01,124 --> 00:51:04,428
now in the meantime of course publishing
1485
00:51:04,461 --> 00:51:05,729
with for-profit journals
1486
00:51:05,729 --> 00:51:07,864
became seen as problematic
1487
00:51:08,065 --> 00:51:10,000
yeah um and what was happening in the
1488
00:51:10,000 --> 00:51:12,202
background i wasn't particularly
1489
00:51:12,202 --> 00:51:13,437
ideological about it i mean
1490
00:51:13,437 --> 00:51:15,172
we're living in a capitalist society
1491
00:51:16,473 --> 00:51:19,142
for-profit vendors making imaging
1492
00:51:19,142 --> 00:51:20,444
scanners that we're giving
1493
00:51:20,444 --> 00:51:22,045
the money for the making a profit out of
1494
00:51:22,045 --> 00:51:24,381
research for-profit um
1495
00:51:24,981 --> 00:51:28,585
max i mean i didn't have an
1496
00:51:28,585 --> 00:51:30,787
ideological problem even though i'm left
1497
00:51:30,787 --> 00:51:32,989
oriented with a for-profit journal
1498
00:51:33,023 --> 00:51:35,058
publishing science but
1499
00:51:35,058 --> 00:51:36,960
it became obvious that the profit margins
1500
00:51:36,960 --> 00:51:39,329
were pretty large yeah and
1501
00:51:39,362 --> 00:51:41,331
what what the bigger problem
1502
00:51:41,364 --> 00:51:44,501
was within the journal is the quality of
1503
00:51:44,734 --> 00:51:46,636
copy editing and journal
1504
00:51:46,636 --> 00:51:49,473
managing was on the way down
1505
00:51:49,473 --> 00:51:50,941
and we were getting a lot of complaints
1506
00:51:50,941 --> 00:51:52,209
because papers were being
1507
00:51:52,976 --> 00:51:56,179
copy edited poorly and lost in
1508
00:51:56,179 --> 00:51:58,115
the system because there was a handful of
1509
00:51:58,115 --> 00:52:00,283
journal managers and not one so it
1510
00:52:00,283 --> 00:52:01,585
becomes you're fighting
1511
00:52:01,618 --> 00:52:03,687
a battle on two fronts you're trying to
1512
00:52:03,687 --> 00:52:05,589
say neuro image which i thought was an
1513
00:52:05,589 --> 00:52:06,756
incredibly important
1514
00:52:06,790 --> 00:52:10,994
journal as a legacy journal which people
1515
00:52:10,994 --> 00:52:12,729
can trust the field with
1516
00:52:13,130 --> 00:52:14,364
through the rigor of peer
1517
00:52:14,364 --> 00:52:17,701
review but is being published by a
1518
00:52:17,701 --> 00:52:19,736
for-profit company and then
1519
00:52:19,736 --> 00:52:21,605
on the other hand complaints
1520
00:52:21,605 --> 00:52:23,206
coming in because people's papers are
1521
00:52:23,206 --> 00:52:26,576
being copy edited badly and
1522
00:52:26,576 --> 00:52:27,611
at some point it just gets
1523
00:52:27,611 --> 00:52:30,847
ridiculous and so one thing we did when i
1524
00:52:30,847 --> 00:52:31,848
was in neuro image is we
1525
00:52:31,848 --> 00:52:33,250
flipped to open access so that
1526
00:52:33,283 --> 00:52:35,418
everybody could read you didn't have to
1527
00:52:35,418 --> 00:52:36,720
pay to read everything
1528
00:52:36,753 --> 00:52:38,655
came out of the paywall and i
1529
00:52:38,655 --> 00:52:40,290
think that was logically the best thing
1530
00:52:40,290 --> 00:52:42,058
to do next but it became
1531
00:52:42,058 --> 00:52:43,727
very expensive then to publish
1532
00:52:44,194 --> 00:52:46,463
and i had colleagues in argentina and
1533
00:52:46,463 --> 00:52:48,632
brazil saying this might be fine for you
1534
00:52:48,932 --> 00:52:50,433
but how are we going to pay five thousand
1535
00:52:50,433 --> 00:52:52,402
dollars to pub publish our
1536
00:52:52,402 --> 00:52:55,705
work and um the price went up
1537
00:52:56,072 --> 00:52:57,941
and all these other problems continue to
1538
00:52:57,941 --> 00:52:59,876
exist the problem with
1539
00:53:00,544 --> 00:53:03,213
for-profit publishing and the
1540
00:53:03,480 --> 00:53:05,148
quality of the service that we were
1541
00:53:05,148 --> 00:53:07,184
getting and i stepped over
1542
00:53:07,217 --> 00:53:08,652
to the new editor in chief in
1543
00:53:08,685 --> 00:53:11,755
steve smith uh there were calls at that
1544
00:53:11,755 --> 00:53:13,757
stage to move the whole
1545
00:53:13,757 --> 00:53:16,059
editorial team to a non-profit
1546
00:53:17,594 --> 00:53:21,665
platform i wasn't sure in my mind and
1547
00:53:21,665 --> 00:53:22,332
that was coming to the
1548
00:53:22,332 --> 00:53:25,035
editor my eic time that i was the
1549
00:53:25,035 --> 00:53:27,804
right person to do that um i was pretty
1550
00:53:27,804 --> 00:53:29,072
confident that steve smith
1551
00:53:29,072 --> 00:53:30,574
was the right person to do that
1552
00:53:31,074 --> 00:53:33,143
and he didn't need michael break spears
1553
00:53:33,176 --> 00:53:35,745
endorsement he just to do that yeah he
1554
00:53:35,745 --> 00:53:36,813
just needed you know we
1555
00:53:36,813 --> 00:53:39,416
had a great relationship and i entrusted
1556
00:53:39,416 --> 00:53:41,451
him to be a great editor in chief and
1557
00:53:41,451 --> 00:53:42,452
bring along the team
1558
00:53:42,485 --> 00:53:47,224
which he's done remarkably well and taken
1559
00:53:47,224 --> 00:53:48,058
that journal to a
1560
00:53:48,058 --> 00:53:51,328
non-profit mit press well but the
1561
00:53:51,328 --> 00:53:53,296
journal there is still a journal called
1562
00:53:53,496 --> 00:53:56,733
so i don't know if the uh you know our
1563
00:53:56,733 --> 00:53:58,335
audience may not know
1564
00:53:58,935 --> 00:54:01,471
so newer image continues to exist when i
1565
00:54:01,471 --> 00:54:02,505
was editor in chief
1566
00:54:02,572 --> 00:54:04,040
its impact factor went up
1567
00:54:04,507 --> 00:54:07,310
as it had under a form of eic's on google
1568
00:54:07,310 --> 00:54:10,146
scholar in the category was
1569
00:54:10,146 --> 00:54:12,182
basically nature neuroscience
1570
00:54:12,449 --> 00:54:14,551
neuron and newer image consistently was
1571
00:54:14,551 --> 00:54:15,485
the third most
1572
00:54:15,485 --> 00:54:17,287
impactful journal in the field
1573
00:54:17,854 --> 00:54:20,257
to take that to a new publishing house
1574
00:54:20,257 --> 00:54:22,225
with a new title for the
1575
00:54:22,225 --> 00:54:24,094
whole editorial team including the
1576
00:54:24,094 --> 00:54:26,730
ic takes a bit of guts and they've done
1577
00:54:26,730 --> 00:54:28,198
that with a new title imaging
1578
00:54:28,198 --> 00:54:29,799
so they got mad and left right
1579
00:54:30,900 --> 00:54:33,470
they don't get mad they make a series of
1580
00:54:33,470 --> 00:54:34,638
requests to the
1581
00:54:34,638 --> 00:54:36,106
publisher that weren't met
1582
00:54:36,539 --> 00:54:38,508
so they rationally left i don't think it
1583
00:54:38,508 --> 00:54:41,111
was an act of anger i think
1584
00:54:41,111 --> 00:54:43,113
it was the right thing to do
1585
00:54:43,113 --> 00:54:46,016
for the community and it and mit press
1586
00:54:46,082 --> 00:54:47,550
offered to meet those
1587
00:54:48,118 --> 00:54:50,787
requirements but they're also for
1588
00:54:51,388 --> 00:54:53,957
now they're non-profit mit is not okay so
1589
00:54:53,957 --> 00:54:54,691
it's a non-profit
1590
00:54:54,691 --> 00:54:57,160
publishing house with excellent
1591
00:54:57,160 --> 00:54:58,695
because i've been an editor for network
1592
00:54:58,695 --> 00:55:00,363
neuroscience absolutely
1593
00:55:00,363 --> 00:55:01,965
fantastic journal management
1594
00:55:02,298 --> 00:55:05,502
absolutely fantastic uh copy editing
1595
00:55:05,502 --> 00:55:06,302
they've shown they can
1596
00:55:06,302 --> 00:55:08,838
do it from the article
1597
00:55:08,838 --> 00:55:11,708
publication cost is like a third of what
1598
00:55:11,708 --> 00:55:13,209
it was and is it open
1599
00:55:13,209 --> 00:55:15,545
access yeah it's pay to publish
1600
00:55:15,578 --> 00:55:17,580
but it's much cheaper it's about thirteen
1601
00:55:17,580 --> 00:55:18,481
hundred dollars compared
1602
00:55:18,481 --> 00:55:20,283
to five thousand dollars and
1603
00:55:20,283 --> 00:55:22,686
people know that money is gone to publish
1604
00:55:22,686 --> 00:55:24,254
the paper it's not just a
1605
00:55:24,254 --> 00:55:27,190
pdf there has to be there's
1606
00:55:27,223 --> 00:55:30,293
you have to pay for the machinery of
1607
00:55:30,293 --> 00:55:32,862
publishing journal papers it does cost
1608
00:55:32,862 --> 00:55:34,197
it's not just putting
1609
00:55:34,197 --> 00:55:36,566
a pdf on archive an archive costs money
1610
00:55:37,067 --> 00:55:38,368
it's the machinery there's
1611
00:55:38,368 --> 00:55:40,303
a journal manager there's
1612
00:55:40,503 --> 00:55:43,707
pay to pay the software to do it etc etc
1613
00:55:43,907 --> 00:55:45,275
the other for-profit journals
1614
00:55:45,308 --> 00:55:47,077
neuro image continues to exist
1615
00:55:47,143 --> 00:55:51,047
with different editors it's not the most
1616
00:55:51,481 --> 00:55:53,383
it used to be pretty
1617
00:55:53,917 --> 00:55:55,685
prestigious to be an editor in your
1618
00:55:55,685 --> 00:55:58,321
image it's lost some of that glamour yeah
1619
00:55:58,321 --> 00:55:59,689
that's for sure yeah your
1620
00:55:59,689 --> 00:56:01,091
image continues to exist with
1621
00:56:01,091 --> 00:56:03,693
the community-based editorial team and
1622
00:56:03,693 --> 00:56:05,195
the other for-profit journals
1623
00:56:05,228 --> 00:56:08,398
human brain mapping and brain
1624
00:56:08,398 --> 00:56:11,000
and they continue to exist meanwhile OHBM
1625
00:56:11,067 --> 00:56:11,901
has launched its own
1626
00:56:11,901 --> 00:56:14,704
journal aperture neuro it's a
1627
00:56:14,704 --> 00:56:18,108
non-profit it's like what you hope that
1628
00:56:18,108 --> 00:56:19,876
the society for neuroscience should do
1629
00:56:20,176 --> 00:56:21,778
it's very much based on
1630
00:56:22,212 --> 00:56:26,349
technical developments it's there to host
1631
00:56:26,649 --> 00:56:28,118
nontraditional output
1632
00:56:28,118 --> 00:56:29,486
like jupiter notebooks
1633
00:56:29,619 --> 00:56:31,287
Google collaboration sheets,
1634
00:56:32,389 --> 00:56:35,191
GitHub sort of based reports.
1635
00:56:36,459 --> 00:56:38,495
When you do that, everything's anchored
1636
00:56:38,495 --> 00:56:40,096
to a PDF article that
1637
00:56:40,096 --> 00:56:41,164
then describes the Jupyter
1638
00:56:41,164 --> 00:56:42,031
Notebook or the...
1639
00:56:42,265 --> 00:56:45,001
No, you can, I think, publish the Jupyter
1640
00:56:45,001 --> 00:56:46,503
Notebook with a DOI.
1641
00:56:47,403 --> 00:56:48,571
And so that's been
1642
00:56:48,571 --> 00:56:49,773
going for a couple of years.
1643
00:56:49,973 --> 00:56:53,143
It is still on the upswing, I hope.
1644
00:56:53,877 --> 00:56:56,613
It has cost the society money to get it
1645
00:56:56,613 --> 00:56:57,714
supported and get it going.
1646
00:56:57,947 --> 00:57:00,917
Peter Banditini and Malar Shakhravati are
1647
00:57:00,917 --> 00:57:02,252
the editors in chief,
1648
00:57:02,252 --> 00:57:04,621
very, very skilled individuals
1649
00:57:05,822 --> 00:57:06,856
with a lot of editorial
1650
00:57:06,856 --> 00:57:07,991
experience between them.
1651
00:57:08,925 --> 00:57:10,760
And we hope that will continue to grow.
1652
00:57:11,194 --> 00:57:14,998
What place will the for-profit publishers
1653
00:57:14,998 --> 00:57:17,333
play in the future of
1654
00:57:17,801 --> 00:57:20,403
OHBM as a society is
1655
00:57:20,403 --> 00:57:22,238
obviously going to be up to debates.
1656
00:57:22,505 --> 00:57:23,506
It's certainly not up to
1657
00:57:23,506 --> 00:57:25,442
Michael Bragsby, the chair of RHBM.
1658
00:57:27,110 --> 00:57:29,679
If the outcome is properly, this change,
1659
00:57:29,679 --> 00:57:32,382
this path will be led by the community.
1660
00:57:33,082 --> 00:57:34,384
And obviously many people in the
1661
00:57:34,384 --> 00:57:35,518
community want to see
1662
00:57:35,752 --> 00:57:37,153
their papers that are published
1663
00:57:37,153 --> 00:57:38,788
in their editorial role in
1664
00:57:38,788 --> 00:57:40,390
for-profit journals valued.
1665
00:57:40,824 --> 00:57:42,058
And there's many other people in the
1666
00:57:42,058 --> 00:57:43,593
community who see the
1667
00:57:43,593 --> 00:57:45,228
future of nonprofit publishing
1668
00:57:45,261 --> 00:57:47,964
and society-based, non-traditional
1669
00:57:47,964 --> 00:57:51,034
publishing kept as cheaply as possible.
1670
00:57:51,634 --> 00:57:53,036
Yeah, there's a lot of future in those
1671
00:57:53,036 --> 00:57:54,137
roles, but they're
1672
00:57:54,137 --> 00:57:56,072
still kind of experimental.
1673
00:57:56,239 --> 00:57:58,474
Yeah, I mean, I particularly love PLOS
1674
00:57:58,474 --> 00:57:59,609
computational biology.
1675
00:57:59,609 --> 00:58:02,645
I think the PLOS model is noble.
1676
00:58:03,046 --> 00:58:06,716
I also feel like it's important to have
1677
00:58:06,716 --> 00:58:09,719
standards related to
1678
00:58:09,953 --> 00:58:11,621
publishing your data with your papers.
1679
00:58:13,923 --> 00:58:15,892
And I think that the connection to a
1680
00:58:15,892 --> 00:58:17,327
society is important.
1681
00:58:17,360 --> 00:58:20,730
And it may be that the way to, you know,
1682
00:58:20,730 --> 00:58:21,531
the biggest problem,
1683
00:58:21,564 --> 00:58:23,867
right, the elephant in the room
1684
00:58:24,200 --> 00:58:25,568
is that there are, let's say I've
1685
00:58:25,568 --> 00:58:27,437
published in prestigious
1686
00:58:27,437 --> 00:58:28,905
journals that help your career
1687
00:58:29,205 --> 00:58:31,975
and the open access fee, and we've all
1688
00:58:31,975 --> 00:58:34,510
published in these, it's like $10,000.
1689
00:58:35,278 --> 00:58:37,814
And you pay it because that helps the
1690
00:58:37,814 --> 00:58:39,215
career of the graduate student,
1691
00:58:39,215 --> 00:58:40,383
that potentially helps your career
1692
00:58:40,383 --> 00:58:41,484
depending upon where you are.
1693
00:58:42,619 --> 00:58:47,724
But I think that mechanisms to make it so
1694
00:58:47,724 --> 00:58:49,092
that papers stand out post
1695
00:58:49,092 --> 00:58:51,828
hoc can also be very high value.
1696
00:58:52,161 --> 00:58:54,097
You know, having awards associated with
1697
00:58:54,097 --> 00:58:55,865
papers and maybe a lot more of them,
1698
00:58:56,199 --> 00:59:01,337
or when specific metrics are set, you
1699
00:59:01,337 --> 00:59:02,071
have the equivalent of a
1700
00:59:02,071 --> 00:59:03,640
gold record for a paper,
1701
00:59:03,973 --> 00:59:04,941
and people can use that
1702
00:59:04,941 --> 00:59:05,975
for career advancement.
1703
00:59:06,910 --> 00:59:08,444
And, you know, if you have metrics for
1704
00:59:08,444 --> 00:59:09,045
these things to be
1705
00:59:09,045 --> 00:59:10,880
captured relatively short term,
1706
00:59:11,481 --> 00:59:12,482
you know, let's say over two-year
1707
00:59:12,482 --> 00:59:13,416
timescale, that can help
1708
00:59:13,416 --> 00:59:14,984
somebody who publishes a paper
1709
00:59:15,285 --> 00:59:16,352
as a graduate student.
1710
00:59:16,619 --> 00:59:18,588
And I think that having something that's
1711
00:59:18,588 --> 00:59:21,024
not so top-down, profit-driven,
1712
00:59:21,357 --> 00:59:22,358
and basically...
1713
00:59:23,226 --> 00:59:25,929
Everybody recognizes the value of having
1714
00:59:25,929 --> 00:59:27,063
papers acknowledged
1715
00:59:27,063 --> 00:59:29,232
with their inherent value.
1716
00:59:29,566 --> 00:59:30,533
And I mean, we should also
1717
00:59:30,533 --> 00:59:32,001
talk about the eLife model,
1718
00:59:32,635 --> 00:59:34,904
and the power back to the authors to
1719
00:59:34,904 --> 00:59:36,773
publish when they feel they've done
1720
00:59:37,140 --> 00:59:37,707
a sufficient
1721
00:59:37,707 --> 00:59:38,942
answering of the peer review.
1722
00:59:38,942 --> 00:59:41,010
That's another experimental model that's
1723
00:59:41,010 --> 00:59:43,079
still very much a flux in motion.
1724
00:59:45,214 --> 00:59:47,216
You know, we did at NeuroImage still have
1725
00:59:47,216 --> 00:59:48,651
toolbox papers where the
1726
00:59:48,651 --> 00:59:50,553
data and the GitHub had to be...
1727
00:59:51,554 --> 00:59:53,489
Available for peer review.
1728
00:59:53,489 --> 00:59:55,391
So you can do those, but obviously the
1729
00:59:55,391 --> 00:59:58,995
more innovative your journal model is,
1730
00:59:58,995 --> 01:00:02,031
the better those are incorporated.
1731
01:00:02,365 --> 01:00:04,434
The PLOS model of post-publication
1732
01:00:04,434 --> 01:00:05,768
commentary, you know,
1733
01:00:06,002 --> 01:00:07,537
it's still pretty sparse.
1734
01:00:08,304 --> 01:00:09,505
A lot of papers aren't
1735
01:00:09,505 --> 01:00:10,606
getting a lot of commentary,
1736
01:00:10,673 --> 01:00:11,474
and maybe as a
1737
01:00:11,474 --> 01:00:12,742
community, we need to do better.
1738
01:00:12,775 --> 01:00:14,877
Yeah, I wasn't thinking for PLOS.
1739
01:00:14,911 --> 01:00:16,646
It hasn't quite had that.
1740
01:00:16,679 --> 01:00:18,681
But, you know, when papers reached some
1741
01:00:18,715 --> 01:00:20,483
accolade by virtue of...
1742
01:00:21,884 --> 01:00:22,785
Let's say by virtue of
1743
01:00:22,785 --> 01:00:24,887
replication, by virtue of citation,
1744
01:00:25,855 --> 01:00:27,323
it would be nice if there
1745
01:00:27,323 --> 01:00:28,424
were a mechanism for that.
1746
01:00:28,591 --> 01:00:30,126
I mean, so one of the things that...
1747
01:00:30,426 --> 01:00:32,628
I mean, just to reflect back on OHBM,
1748
01:00:33,296 --> 01:00:35,298
that you see is that it's very much like
1749
01:00:35,331 --> 01:00:35,765
what Michael
1750
01:00:35,765 --> 01:00:36,766
Breakthrough was just saying,
1751
01:00:36,799 --> 01:00:38,635
is that it's very much community-driven.
1752
01:00:38,635 --> 01:00:40,403
So you see a lot of these initiatives
1753
01:00:40,403 --> 01:00:42,171
actually there coming together,
1754
01:00:42,538 --> 01:00:44,240
being driven by a lot
1755
01:00:44,240 --> 01:00:45,208
of the young people,
1756
01:00:45,508 --> 01:00:47,176
a lot of the people who go, for example,
1757
01:00:47,176 --> 01:00:48,177
to the open sciences
1758
01:00:48,177 --> 01:00:49,779
room or to the brain hack,
1759
01:00:50,213 --> 01:00:52,382
they develop some of these things or have
1760
01:00:52,382 --> 01:00:53,983
some of these ideas and come together.
1761
01:00:53,983 --> 01:00:55,018
And you really see there that the
1762
01:00:55,018 --> 01:00:55,985
leadership is listening
1763
01:00:55,985 --> 01:00:56,753
to those young people.
1764
01:00:56,753 --> 01:00:57,620
So that's been kind of a
1765
01:00:57,620 --> 01:01:00,323
fun thing to see at OHBM.
1766
01:01:01,557 --> 01:01:03,059
That you don't necessarily see anywhere
1767
01:01:03,059 --> 01:01:04,227
else is how much it's
1768
01:01:04,227 --> 01:01:07,030
driven by the younger community,
1769
01:01:07,030 --> 01:01:09,399
kind of having ideas
1770
01:01:09,432 --> 01:01:10,967
that come to fruition.
1771
01:01:10,967 --> 01:01:11,968
So it was the first
1772
01:01:11,968 --> 01:01:13,403
conference I actually attended,
1773
01:01:13,403 --> 01:01:15,805
it's kind of interesting to see that.
1774
01:01:16,105 --> 01:01:17,874
I should also mention we have our
1775
01:01:18,408 --> 01:01:19,575
scientific advisory
1776
01:01:19,575 --> 01:01:21,544
board, they're like our elders.
1777
01:01:22,578 --> 01:01:23,513
And they're really
1778
01:01:23,513 --> 01:01:25,281
valuable in terms of saying,
1779
01:01:25,815 --> 01:01:27,083
"Well, this sounds like an interesting
1780
01:01:27,083 --> 01:01:28,184
initiative, but we
1781
01:01:28,184 --> 01:01:30,053
tried that five years ago,
1782
01:01:30,053 --> 01:01:30,953
and we encounter these
1783
01:01:30,953 --> 01:01:32,422
particular sort of problems."
1784
01:01:34,691 --> 01:01:36,893
But maybe they tried them before the
1785
01:01:36,893 --> 01:01:38,127
technology was available,
1786
01:01:38,127 --> 01:01:39,796
so we should retry them.
1787
01:01:39,896 --> 01:01:41,064
It's always getting a
1788
01:01:41,064 --> 01:01:44,467
balance, getting a balance right.
1789
01:01:45,435 --> 01:01:47,603
Well, I think it's been really wonderful
1790
01:01:47,603 --> 01:01:48,604
having both of you here.
1791
01:01:48,738 --> 01:01:50,073
Having you come from Australia is a
1792
01:01:50,073 --> 01:01:52,075
unique privilege for us in Rochester.
1793
01:01:53,643 --> 01:01:54,944
I think Brian and I are
1794
01:01:55,111 --> 01:01:56,212
grateful for both your time.
1795
01:01:56,279 --> 01:01:56,713
Absolutely.
1796
01:01:56,746 --> 01:01:59,482
I think this is the kind of conversation
1797
01:01:59,482 --> 01:02:00,283
that needs to happen
1798
01:02:00,283 --> 01:02:01,818
more often to help drive
1799
01:02:02,285 --> 01:02:05,288
the scientific community away from, let's
1800
01:02:05,288 --> 01:02:09,726
say away from the models of the past.
1801
01:02:10,526 --> 01:02:13,930
And I think that in particular, having
1802
01:02:14,797 --> 01:02:16,065
things that transcend
1803
01:02:16,065 --> 01:02:17,867
borders and transcend specific
1804
01:02:17,867 --> 01:02:19,168
economic interests will be
1805
01:02:19,168 --> 01:02:20,737
important in coming years.
1806
01:02:21,270 --> 01:02:22,138
Yeah, well, thank you.
1807
01:02:22,138 --> 01:02:23,272
And thank you for
1808
01:02:23,272 --> 01:02:24,807
Adora as well and joining.
1809
01:02:26,109 --> 01:02:27,643
One thing I will say, these
1810
01:02:27,643 --> 01:02:29,045
conversations are important.
1811
01:02:29,045 --> 01:02:30,079
I had a Twitter account
1812
01:02:30,079 --> 01:02:32,582
before it went dark, so to speak,
1813
01:02:32,582 --> 01:02:33,783
and very few people
1814
01:02:33,783 --> 01:02:35,184
now use that platform.
1815
01:02:35,451 --> 01:02:37,653
But in its heyday as Twitter, there was a
1816
01:02:37,653 --> 01:02:39,122
lot of science communication,
1817
01:02:39,155 --> 01:02:40,556
I used to always promote my
1818
01:02:40,556 --> 01:02:42,225
papers and my group's papers.
1819
01:02:42,592 --> 01:02:45,995
And one day I published on Twitter how to
1820
01:02:45,995 --> 01:02:47,396
review a paper, this sort
1821
01:02:47,396 --> 01:02:50,333
of time-honed approach of the
1822
01:02:50,466 --> 01:02:52,969
Bakespear group, and that easily had the
1823
01:02:52,969 --> 01:02:55,805
most likes and views of
1824
01:02:55,838 --> 01:02:57,707
my entire Twitter career.
1825
01:02:58,040 --> 01:02:59,575
And people still ask me about it.
1826
01:02:59,909 --> 01:03:01,711
So these sort of meta-science
1827
01:03:01,711 --> 01:03:03,679
conversations I think are very important.
1828
01:03:04,280 --> 01:03:05,281
Well, thank you, Kai.
1829
01:03:05,381 --> 01:03:06,282
Thank you, Brian.
1830
01:03:06,549 --> 01:03:07,283
Yeah, thank you.
1831
01:03:07,450 --> 01:03:07,984
Thank you.
1832
01:03:08,417 --> 01:03:09,152
Thanks for joining.