December 2, 2016
JADS Workshop on Responsible Data Science
On December 2nd, one day after the official opening of the Jheronimus Academy of Data Science (JADS) by Queen Maxima, we organized the JADS Workshop on Responsible Data Science at the Mariënburg campus location. The theme of the workshop was Responsible Data Science (RDS) inspired by the RDS initiative in which TU/e and TiU collaborate (http://www.responsibledatascience.org/). To future-proof responsible data science methods, foundational research is needed, and, given the complementarity of TU/e and TiU in JADS, there are great opportunities to collaborate on this theme. This was reflected by the workshop.
The workshop started with a presentation by Viktor Mayer-Schönberger who provided numerous examples showing the power of data science and the dilemmas new data-driven technologies introduce. Viktor is Professor of Internet Governance and Regulation at the Oxford Internet Institute, University of Oxford and co-author of influential books like “Big Data: A Revolution That Will Transform How We Live, Work, and Think” (HMH, 2013) and “Delete: The Virtue of Forgetting in the Digital Age” (Princeton, 2009).
Four data science challenges
After Viktor Mayer-Schönberger’s talk we discussed the four challenges:
Below are the slides used:
1. Workshop Opening by Wil van der Aalst
2. “Data science without prejudice – How to avoid unfair conclusions even if they are true?” session leader dr. Maurits Kaptein
3. Discussion on Accuracy in data science: “Data science without guesswork – How to answer questions with a guaranteed level of accuracy?” (session leader prof.dr. Mykola Pechenizkiy)
4. Discussion on Confidentiality in data science: “Data science that ensures confidentiality – How to answer questions without revealing secrets?” (session leader prof.dr. Ronald Leenes)
5. Discussion on Confidentiality in data science: “Data science that ensures confidentiality – How to answer questions without revealing secrets?” (session leader prof.dr. Ronald Leenes)