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

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

©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, …

©Wil van der Aalst & TU/e (use only with permission & acknowledgements) ©Wil van der Aalst & TU/e (use only with permission & acknowledgements)

unfair use of data

privacy violations bogus conclusions

non-transparent

… then we should take care of data-related forms of pollution!

spurious correlations

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

Fairness: Data Science without prejudice: How to avoid unfair conclusions

even if they are true?

Fairness: Data Science without prejudice: How to avoid unfair conclusions

even if they are true?

session leader dr. Maurits Kaptein

Accuracy: Data Science without guesswork: How

to answer questions with a guaranteed level of

accuracy?

Accuracy: Data Science without guesswork: How

to answer questions with a guaranteed level of

accuracy?

session leader prof.dr. Mykola Pechenizkiy

Confidentiality: Data Science that ensures

confidentiality: How to answer questions without

revealing secrets?

Confidentiality: Data Science that ensures

confidentiality: How to answer questions without

revealing secrets?

prof.dr. Ronald Leenes

Transparency: Data Science that provides transparency: How to

clarify answers such that they become indisputable?

Transparency: Data Science that provides transparency: How to

clarify answers such that they become indisputable?

prof.dr.ir. Jack van Wijk

www.responsibledatascience.org

Join us!

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

[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