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.

1. JADS Workshop
on Responsible
Data Science
(RDS)
Wil van der Aalst (DSC/e)
Dick den Hertog (DSC/t)
Arjan Van Den Born (DSC/d)

2. Program
 9.00-9.05 Opening by Wil van der Aalst
 9.05-9.35 Presentation by Viktor Mayer-Schönberger
 9.35-9.55 Discussion on Fairness in data science: “Data science without prejudice – How to avoid
unfair conclusions even if they are true?” (session leader dr. Maurits Kaptein)
 9.55-10.15 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)
 10.15-10.35 Discussion on Confidentiality in data science: “Data science that ensures confidentiality
– How to answer questions without revealing secrets?” (session leader prof.dr. Ronald Leenes)
 10.35-10.55 Discussion on Transparency in data science: “Data science that provides transparency
– How to clarify answers such that they become indisputable?” (session leader prof.dr.ir. Jack van
Wijk)
 10.55-11.00 Closing by Dick den Hertog

3. ©Wil van der Aalst & TU/e (use only with permission & acknowledgements)©Wil van der Aalst & TU/e (use only with permission & acknowledgements)
If data is the new oil on which our society runs, …

4. ©Wil van der Aalst & TU/e (use only with permission & acknowledgements)©Wil van der Aalst & TU/e (use only with permission & acknowledgements)
unfairuseofdata
privacyviolations
bogusconclusions
non-transparent
… then we should take care of data-related forms of pollution!
spuriouscorrelations

5. Green data science: separate the “pollution” from the actual purpose

6. Fairness: Data Science
without prejudice: How to
avoid unfair conclusions
even if they are true?

7. Fairness: Data Science
without prejudice: How to
avoid unfair conclusions
even if they are true?
session leader dr. Maurits Kaptein

8. Accuracy: Data Science
without guesswork: How
to answer questions with a
guaranteed level of
accuracy?

9. Accuracy: Data Science
without guesswork: How
to answer questions with a
guaranteed level of
accuracy?
session leader prof.dr. Mykola Pechenizkiy

10. Confidentiality: Data
Science that ensures
confidentiality: How to
answer questions without
revealing secrets?

11. Confidentiality: Data
Science that ensures
confidentiality: How to
answer questions without
revealing secrets?
prof.dr. Ronald Leenes

12. Transparency: Data
Science that provides
transparency: How to
clarify answers such that
they become indisputable?

13. Transparency: Data
Science that provides
transparency: How to
clarify answers such that
they become indisputable?
prof.dr.ir. Jack van Wijk

14. www.responsibledatascience.org
Join us!

15. Program
 9.00-9.05 Opening by Wil van der Aalst
 9.05-9.35 Presentation by Viktor Mayer-Schönberger
 9.35-9.55 Discussion on Fairness in data science: “Data science without prejudice – How to avoid
unfair conclusions even if they are true?” (session leader dr. Maurits Kaptein)
 9.55-10.15 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)
 10.15-10.35 Discussion on Confidentiality in data science: “Data science that ensures confidentiality
– How to answer questions without revealing secrets?” (session leader prof.dr. Ronald Leenes)
 10.35-10.55 Discussion on Transparency in data science: “Data science that provides transparency
– How to clarify answers such that they become indisputable?” (session leader prof.dr.ir. Jack van
Wijk)
 10.55-11.00 Closing by Dick den Hertog

16. [20]
• Professor of Internet Governance
and Regulation at the Oxford
Internet Institute, University of
Oxford.
• Previous: Harvard's John F.
Kennedy School of Government.
• He is the co-author of Big Data: A
Revolution That Will Transform
How We Live, Work, and
Think(HMH, 2013) and author
of Delete: The Virtue of Forgetting
in the Digital Age (Princeton, 2009.
Viktor Mayer-Schönberger