Jacob Metcalf

Data & Society Research Institute

36 West 20th Street

11th Floor

New York, , NY 10011

United States

  • Data & Society Research Institute

SCHOLARLY PAPERS

5

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Top 19,528

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3,659

SSRN CITATIONS
Rank 45,320

SSRN RANKINGS

Top 45,320

in Total Papers Citations

9

CROSSREF CITATIONS

6

Scholarly Papers (5)

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1.

Where are Human Subjects in Big Data Research? The Emerging Ethics Divide

Big Data and Society, Spring 2016
Number of pages: 34 Posted: 14 May 2016 Last Revised: 20 May 2016
Jacob Metcalf and Kate Crawford
Data & Society Research Institute and AI Now Institute
Downloads 2,213 (9,380)
Citation 4

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data ethics, human subjects, common rule, critical data studies, data subjects, big data

2.

Algorithmic Impact Assessments and Accountability: The Co-construction of Impacts

Jacob Metcalf, Emanuel Moss, Elizabeth Anne Watkins, Ranjit Singh, and MadeleineClare Elish. 2021. Algorithmic Impact Assessments and Accountability: TheCo-construction of Impacts. InACM Conference on Fairness, Accountability,and Transparency (FAccT ’21), March 3–10, 2021, Virtual Event, Canada.ACM,
Number of pages: 19 Posted: 12 Feb 2021
Jacob Metcalf, Emanuel Moss, Emanuel Moss, Elizabeth Anne Watkins, Elizabeth Anne Watkins, Ranjit Singh and Madeleine Clare Elish
Data & Society Research Institute, Data & Society Research InstituteCUNY Graduate Center, Princeton University Center for Information Technology PolicyData & Society Research Institute, Data & Society and Google Inc.
Downloads 588 (64,705)
Citation 3

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algorithmic impact assessment, impact, harm, accountability, governance

3.

Governing with Algorithmic Impact Assessments: Six Observations

Watkins, Elizabeth and Moss, Emanuel and Metcalf, Jacob and Singh, Ranjit and Elish, Madeleine Clare, Governing Algorithmic Systems with Impact Assessments: Six Observations (May 14, 2021). AAAI / ACM Conference on Artificial Intelligence, Ethics, and Society (AIES), Available at SSRN: https://ssrn.
Number of pages: 13 Posted: 28 May 2020 Last Revised: 14 May 2021
Emanuel Moss, Emanuel Moss, Elizabeth Anne Watkins, Elizabeth Anne Watkins, Jacob Metcalf and Madeleine Clare Elish
Data & Society Research InstituteCUNY Graduate Center, Princeton University Center for Information Technology PolicyData & Society Research Institute, Data & Society Research Institute and Google Inc.
Downloads 503 (78,636)
Citation 2

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algorithmic impact assessment, algorithmic accountability, impact assessment, data ethics, algorithmic accountability, corporate governance

4.

Assembling Accountability: Algorithmic Impact Assessment for the Public Interest

Number of pages: 64 Posted: 08 Jul 2021
Emanuel Moss, Emanuel Moss, Elizabeth Anne Watkins, Elizabeth Anne Watkins, Ranjit Singh, Madeleine Clare Elish and Jacob Metcalf
Data & Society Research InstituteCUNY Graduate Center, Princeton University Center for Information Technology PolicyData & Society Research Institute, Data & Society, Google Inc. and Data & Society Research Institute
Downloads 217 (194,076)
Citation 3

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accountability, impact assessment, algorithms, artificial intelligence, governance, policy

5.

Governing Algorithmic Systems with Impact Assessments: Six Observations

AAAI / ACM Conference on Artificial Intelligence, Ethics, and Society (AIES), 2021
Number of pages: 12 Posted: 18 May 2021
Elizabeth Anne Watkins, Elizabeth Anne Watkins, Emanuel Moss, Emanuel Moss, Jacob Metcalf, Ranjit Singh and Madeleine Clare Elish
Princeton University Center for Information Technology PolicyData & Society Research Institute, Data & Society Research InstituteCUNY Graduate Center, Data & Society Research Institute, Data & Society and Google Inc.
Downloads 138 (285,307)

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algorithmic impact assessment, impact, harm, accountability, governance