Data Stories

By Enrico Bertini and Moritz Stefaner

About this podcast   English    United States

Enrico Bertini and Moritz Stefaner discuss the latest developments in data analytics, visualization and related topics.
April 12, 2018
Download: MP3 Audio31 MB MPEG-4 AAC Audio25 MB [This podcast is fully supported by our listeners. If you enjoy listening to Data Stories, consider supporting us on Patreon. And now we also accept one-time donations through Paypal: just use this link. Thanks so much for your support!]   This week we have Miriah Meyer (University of Utah) and Danyel Fisher (Microsoft Research) on the show to talk about their new book Making Data Visual, which covers areas that other visualization books typically do not address: namely, how to go from formulating questions to building visualizations that solve actual problems that people have. On the show we talk about how the book came to be; some of the concepts introduced by Miriah and Danyel in the book, such as the use of proxy tasks for data;  and how you could use it for your own projects. Enjoy the show! Links: Miriah Meyer Danyel Fisher Book: Making Data Visual GitHub page with code Related episodes Bridging academia and industry with Danyel Fisher Designing Exploratory Data Visualization Tools w/ Miriah Meyer Poemage: Data Visualization for Poets with Miriah Meyer and Nina McCurdy
March 21, 2018
Download: MP3 Audio39 MB MPEG-4 AAC Audio30 MB [This podcast is fully supported by our listeners. If you enjoy listening to Data Stories, consider supporting us on Patreon!] We have Lisa C. Rost and Gregor Aisch on the show to talk about the exciting work they are doing at Datawrapper. Lisa and Gregor have recently joined the company in Berlin, coming from various experiences in data journalism in the US. Lisa is known for her long, thoughtful and beautiful blog posts and visualization guides. Gregor is a former graphics editor at the New York Times and has also developed many useful visualization libraries and tools. On the show we talk about Lisa and Gregor’s transitions from the world of journalism to a software company, the market for data visualization products, and what we can expect from Datawrapper in the future. Enjoy the show!   Links Lisa Charlotte Rost: Gregor Aisch: Datawrapper: Datawrapper’s blog River (DW’s place to exchange relevant data, charts and maps) Related episodes 7 | Color (feat. Gregor Aisch) 61 | Visualizing Your "Google Search History" with Lisa Charlotte Rost
March 6, 2018
Download: MP3 Audio39 MB MPEG-4 AAC Audio30 MB [This podcast is fully supported by our listeners. If you enjoy listening to Data Stories, consider supporting us on Patreon!] We have Evanthia Dimara on the show to talk about cognitive bias and the role it plays in visualization. Evanthia has a PhD from INRIA and is now a postdoctoral researcher at the Institute for Intelligent Systems and Robotics (ISIR) in Paris. Her work focuses on data visualization and decision-making, and she specializes in understanding how bias affects our decisions when they are supported by visual representations. On the show we talk about cognitive biases in general, introducing some of the most popular and funny examples. We then switch gears and Evanthia describes how the effects of specific biases translate to the world of data visualization and whether visualization can play a role in reducing bias. Enjoy the show! Links Evanthia Dimara Daniel Kahneman’s book: “Thinking Fast and Slow“ Epic list of cognitive biases Evanthia’s paper on: “The Attraction Effect in Information Visualization”. The cognitive bias song!   Related episodes 84 | Statistical Numbing with Paul Slovic 94 | Uncertainty and Trumpery with Alberto Cairo 97 | Calling Bullshit with Carl Bergstrom and Jevin West
Feb. 20, 2018
Download: MP3 Audio35 MB MPEG-4 AAC Audio28 MB [This podcast is fully supported by our listeners. If you enjoy listening to Data Stories, consider supporting us on Patreon!] How should we interact with machine learning? Is there a way to better understand what machine learning systems do and how? What role can visualization play in machine learning? These are some of the questions we discuss with Saleema Amershi on the podcast this week. Saleema is a Researcher at Microsoft Research AI (MSR AI) where she works on technologies for helping people build and use machine learning systems. On the show we explore the need for interaction in machine learning and discuss some of the fascinating work Saleema has done in this space, as well as what visualization can do to make machine learning more transparent for its users. Enjoy the show! Links Saleema Amershi’s home page Saleema’s paper ‘Revolt: Collaborative Crowdsourcing for Labeling Machine Learning Datasets’ Saleema’s paper on ModelTracker ‘ModelTracker: Redesigning Performance Analysis Tools for Machine Learning’ Related episodes 114 | Machine Learning for Artists with Gene Kogan
Jan. 31, 2018
Download: MP3 Audio34 MB MPEG-4 AAC Audio27 MB         [This podcast is fully supported by our listeners. If you enjoy listening to Data Stories, consider supporting us on Patreon!] If you haven’t heard talk about machine learning (ML) lately, you must be living under a rock! For our part, we have finally managed to record a whole episode on the use of ML for art and visualization. Artist and programmer Gene Kogan joins us on the show to talk about new developments in this space, as well as new challenges and opportunities. Gene has developed numerous art and design pieces using ML technologies, which we also discuss on the show. (You should definitely check out his home page: Last, we talk about the role of ML in visualization and how you can integrate ML in your own projects. Enjoy! Links Gene Kogan Mario Klingemann Wikipedia page on ‘Adversarial Machine Learning’ David Ha’s sketch-rnn Teachable Machine from Google Creative Lab Machine Learning for Artists (ml4a) GitHub page Deep Dream Generator Forma Fluens Justin Timberlake’s ‘Filthy’ video Book: Nick Bostrom’s “Superintelligence” Gene Kogan’s schedule Gene Kogan on Twitter Related episodes 36 | Data Art w/ Jer Thorp 68 | Poemage: Data Visualization for Poets with Miriah Meyer and Nina McCurdy 90 | Beyond the Chart with Brendan Dawes
Jan. 17, 2018
Download: MP3 Audio41 MB MPEG-4 AAC Audio32 MB It’s a whole new year! Consider supporting Data Stories on Patreon! Michelle Borkin is Assistant Professor at Northeastern University where she studies the use of visualization in science research, in particular how it impacts human perception and cognition. On the show we talk about how the data viz community can better support the work of scientists, her popular research on data visualization memorability and, of course, the infamous data viz dinosaur. LINKS Michelle Borkin Michelle’s paper: “Evaluation of artery visualizations for heart disease diagnosis” Michelle’s research on data visualization memorability Michelle’s TED Talk NUVis Consortium MassVis Data Set of Charts Related episodes 52 | Science Communication at SciAm w/ Jen Christiansen
Jan. 3, 2018
Download: MP3 Audio29 MB MPEG-4 AAC Audio22 MB There are infinite ways to represent data. Here’s one of the more creative ones: Alice Thudt makes pottery — such as cups, plates, or teapots — that show data! Her project Life in Clay started off as a twist on a hobby, and has since become part of her PhD research on personal data visualization. In our conversation with Alice, we learn all about what it takes to put data on the table. PS: At the end, you’ll also hear a quick update on the Information is Beautiful awards, where Alice scored an honorable mention! Congratulations! If you enjoy Data Stories, consider supporting us on Patreon. Every contribution helps!   Related episodes 64 | "Dear Data" with Giorgia Lupi and Stefanie Posavec 106 | Data Sculptures with Adrien Segal
Dec. 22, 2017
Download: MP3 Audio92 MB MPEG-4 AAC Audio71 MB If you enjoy listening to Data Stories, consider becoming a supporter on Patreon. Thanks! We are at the end of yet another full year, folks! And once again we have decided to go around the world to see what has happened in vis in a whole range of countries. It’s been a long journey. This year we have, Spe Chen from Beijing, China; Pia Faustino from Manila, Philippines; Pinar Dag in Istanbul, Turkey; Justin Yarga from Ouagadougou, Burkina Faso; Harry Stevens in New Delhi, India; and Qristina Parjiani from Tbilisi, Georgia. Let us know how your year was and what you expect from 2018! Happy Holidays everyone and thanks for listening!   Links Spe Data Works G2 data viz library The Hu Line, Chinese newspaper Dataworks’ Pay to Learn: A graphical analysis of the link between housing and quality education in Beijing Pia Thinking Machines Pinar Pinar Dag on Medium Pınar Dağ’s page Open Database of Deceased Workers in Turkey (Update all the time) Analysing Turkish Imam Hatip High Schools Over the Past Decade The first massive open online course in Turkey about Data Literacy and Open Data training ( Also data visualization training module) Data Journalism Platform -Turkey Turkish Data Journalism News Site Open Data and Data Journalism Association -Turkey The Data Visualisation Catalogue translated into Turkish Open Data Day 2017 -Turkey Justin Justin Yarga on Burkina24 Harry Harry Stevens on Hindustan Times Hindustan TImes’ “Find out the GST rate for over 1,800 goods and services” Hindustan TImes’ “What’s it like to get trolled all day long?” Hindustan Times’ “Delhi needs to hire more than 12,000 teachers, but that would be illegal” ProPublica’s “Dollars for Docs” ProPublica’s “Surgeon Scorecard” “The Death of Interactive Infographics?” “In Defense of Interactive Graphics” Qristina ForSet Related episodes 89 | Data Vis Around the World in 2016
Dec. 6, 2017
Download: MP3 Audio31 MB MPEG-4 AAC Audio24 MB On the show this week we have Sharon Hessney of the American Statistical Association and Michael Gonchar of the New York Times Learning Network to talk about the New York Times’s project, “What’s Going On In This Graph?” The project aims to improve students’ visual literacy by analyzing a specific chart and participating in online discussions. Each month the New York Times publishes a new chart and ask students to discuss it by answering a series of questions: What do you notice? What do you wonder? Are there items you notice that answer what you wonder? Where could you find the answers to what you wonder? On the show we talk about how the project was born, how students participate in the process, what they learn, and our guests’ plans for the future of the series. We strongly encourage you to participate! It’s fun and useful! Enjoy the show! [If you enjoy Data Stories, consider supporting us on Patreon. The show is now fully funded by our listeners!] Links New York Times Learning Network New York Times’s What’s Going On In This Graph? New York Times’s What’s Going On In This Picture? The 3 graphs published so far: “Houston May Get 50 Inches of Rain. How Long Does It Take Your City to Get that Much?” “Is Sushi Healthy? What About Granola Where Americans and Nutritionists Disagree” “Labor Shortage Gives Wonders an Edge” Related episodes 33 | HelpMeViz w/ Jon Schwabish 69 | Data Visualization Literacy with Jeremy Boy, Helen Kennedy and Andy Kirk 88 | Re-designing Visualizations on #MakeoverMonday with Andy Kriebel and Andy Cotgreave 97 | Calling Bullshit with Carl Bergstrom and Jevin West 104 | Visualization Literacy in Elementary School with Basak Alper and Nathalie Riche
Nov. 23, 2017
Download: MP3 Audio47 MB MPEG-4 AAC Audio37 MB [If you enjoy Data Stories, consider supporting us on Patreon. The show is now fully funded by our listeners!] We have Catherine D’Ignazio on the show this week to talk about feminist data visualization. Catherine is Assistant Professor of Data Visualization and Civic Media at Emerson College, where she works across art, design, science and research. On the show Catherine explains how feminist theory can be used as a lens to look at some interesting problems in visualization and data analysis in general. We also talk about the struggle between objectivity and relativism, methods to apply the guidelines proposed by Catherine to data visualization work, and some super interesting projects she has developed over the years. Enjoy the show! Links Catherine’s project Boston Coastline: Future Past Catherine’s project The Babbling Brook Catherine’s “What Would Feminist Data Visualization Look Like?” Donna Haraway’s “Situated Knowledges: The Science Question in Feminism and the Privilege of Partial Perspective” Giorgia Lupi’s “Manifesto for Data Humanism“ Michelle Borkin’s What Makes Data Visualization Memorable Sandra Harding’s “Rethinking Standpoint Epistemology: What is ‘Strong Objectivity’?” Catherine d’Ignazio and Lauren F. Klein’s “Feminist Data Visualization” More on Catherine’s “Data Biographies” teaching exercise Lauren F. Klein’s “Feminist Data Visualization; Or, the Shape of History” Related episodes 64 | "Dear Data" with Giorgia Lupi and Stefanie Posavec 82 | Information+ Conference Review

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