1. Workshop Responsible Data Science - Opening by Will van der Aalst
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Transcript of 1. Workshop Responsible Data Science - Opening by Will van der Aalst
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JADS Workshop on Responsible Data Science (RDS) Wil van der Aalst (DSC/e) Dick den Hertog (DSC/t) Arjan Van Den Born (DSC/d)
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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
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©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, …
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©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
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Green data science: separate the “pollution” from the actual purpose
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Fairness: Data Science without prejudice: How to avoid unfair conclusions
even if they are true?
![Page 7: 1. Workshop Responsible Data Science - Opening by Will van der Aalst](https://reader031.fdocuments.in/reader031/viewer/2022021506/5872d9e01a28ab74188b6d95/html5/thumbnails/7.jpg)
Fairness: Data Science without prejudice: How to avoid unfair conclusions
even if they are true?
session leader dr. Maurits Kaptein
![Page 8: 1. Workshop Responsible Data Science - Opening by Will van der Aalst](https://reader031.fdocuments.in/reader031/viewer/2022021506/5872d9e01a28ab74188b6d95/html5/thumbnails/8.jpg)
Accuracy: Data Science without guesswork: How
to answer questions with a guaranteed level of
accuracy?
![Page 9: 1. Workshop Responsible Data Science - Opening by Will van der Aalst](https://reader031.fdocuments.in/reader031/viewer/2022021506/5872d9e01a28ab74188b6d95/html5/thumbnails/9.jpg)
Accuracy: Data Science without guesswork: How
to answer questions with a guaranteed level of
accuracy?
session leader prof.dr. Mykola Pechenizkiy
![Page 10: 1. Workshop Responsible Data Science - Opening by Will van der Aalst](https://reader031.fdocuments.in/reader031/viewer/2022021506/5872d9e01a28ab74188b6d95/html5/thumbnails/10.jpg)
Confidentiality: Data Science that ensures
confidentiality: How to answer questions without
revealing secrets?
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Confidentiality: Data Science that ensures
confidentiality: How to answer questions without
revealing secrets?
prof.dr. Ronald Leenes
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Transparency: Data Science that provides transparency: How to
clarify answers such that they become indisputable?
![Page 13: 1. Workshop Responsible Data Science - Opening by Will van der Aalst](https://reader031.fdocuments.in/reader031/viewer/2022021506/5872d9e01a28ab74188b6d95/html5/thumbnails/13.jpg)
Transparency: Data Science that provides transparency: How to
clarify answers such that they become indisputable?
prof.dr.ir. Jack van Wijk
![Page 14: 1. Workshop Responsible Data Science - Opening by Will van der Aalst](https://reader031.fdocuments.in/reader031/viewer/2022021506/5872d9e01a28ab74188b6d95/html5/thumbnails/14.jpg)
www.responsibledatascience.org
Join us!
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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
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[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