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Big Data Ethics

Beyond IRBs: Ethical Review Processes for Big Data Research. The workshop is a day-long, immersive event that will animate the discussion on ethical review mechanisms for data collected in corporate, non-profit, and other non-academic settings. 2017 Big Data Ethics.

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Big Data Ethics | bigdata.fpf.org Reviews
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Beyond IRBs: Ethical Review Processes for Big Data Research. The workshop is a day-long, immersive event that will animate the discussion on ethical review mechanisms for data collected in corporate, non-profit, and other non-academic settings. 2017 Big Data Ethics.
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Big Data Ethics | bigdata.fpf.org Reviews

https://bigdata.fpf.org

Beyond IRBs: Ethical Review Processes for Big Data Research. The workshop is a day-long, immersive event that will animate the discussion on ethical review mechanisms for data collected in corporate, non-profit, and other non-academic settings. 2017 Big Data Ethics.

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1

Organizing Committee – Big Data Ethics

https://bigdata.fpf.org/organizing-committee

Danielle Citron, Professor of Law, University of Maryland. Mary Culnan, Future of Privacy Forum and Bentley University. Joshua Fairfield, Professor of Law, Washington and Lee University School of Law. Margaret Hu, Assistant Professor of Law, Washington and Lee University School of Law. Evan Selinger, Associate Professor of Philosophy, Rochester Institute of Technology. Peter Swire, Professor of Law and Ethics, Georgia Tech, Scheller College of Business. 2017 Big Data Ethics.

2

Firestarters – Big Data Ethics

https://bigdata.fpf.org/classifications/firestarters

Emerging Ethics Norms in Social Media Research. This paper argues that we should learn from practice: that researchers working with open and online datasets are converging around norms for responsible research practice that can help guide IRBs or alternative arrangements interested in regulating research ethics. Trusting Big Data Research. By Neil Richards and Woodrow Hartzog. Although it might puzzle or even infuriate data scientists, suspicion about big data is understandable. No Encore for Encore?

3

Background Reading – Big Data Ethics

https://bigdata.fpf.org/background-reading

David Hoffman and Paula Bruening, Rethinking Privacy: Fair Information Practice Principles Reinterpreted (Nov. 2015). Ryan Calo, Consumer Subject Review Boards: A Thought Experiment, 66 Stan. L. Rev. Online 97 (2013). Department of Health, Education, and Welfare, The Belmont report: Ethical principles and guidelines for the protection of human subjects of research (1979). Susan Etlinger, The Trust Imperative: A Framework for Ethical Data Use (June 2015). 2017 Big Data Ethics.

4

Papers – Big Data Ethics

https://bigdata.fpf.org/papers

Beyond IRBs: Ethical Guidelines for Data Research. By Omer Tene and Jules Polonetsky. This article focuses specifically on issues related to data-driven research, which is an area where the notion of harm is still hotly debated and both benefit and risk are typically intangible. Research Ethics in the Big Data Era: Addressing Conceptual Gaps for Researchers and IRBs. The IRB Sledge-Hammer, Freedom and Big-Data. Architecting Global Ethics Awareness in Transnational Research Programs. Privacy advocates hav...

5

About – Big Data Ethics

https://bigdata.fpf.org/about

To that end, we would like to ask you to come prepared, having read the firestarter papers and the other materials accepted for the conference. About the Future of Privacy Forum. FPF Senior Fellow Peter Swire offered commentary on how anti-discrimination and fair lending laws could apply to concerns around Big Data. About the National Science Foundation. About The Alfred P. Sloan Foundation. About Washington and Lee University School of Law. One of the smallest of the nation’s top-tier law schools,...

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Digital Experimentation (e.g., Facebook, OKCupid) - Michelle N. Meyer

http://www.michellenmeyer.com/digital-experimentation-eg-facebook-okcupid.html

Michelle N. Meyer. Journal Articles and Essays. Writing for a Popular Audience. Co-Authors and Signatories of Statement on Facebook Experiment Published in Nature. Digital Experimentation (e.g., Facebook, OKCupid). Work on Digital Experimentation. Michelle N. Meyer and Christopher Chabris,. Please, Corporations, Experiment On Us. June 21, 2015. Michelle N. Meyer,. Two Cheers for Corporate Experimentation: The A/B Illusion and the Virtues of Data-Driven Innovation. Michelle N. Meyer,. June 30, 2014. Invit...

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