Gary King is the Albert J. Weatherhead III University Professor at Harvard University -- one of 25 with Harvard's most distinguished faculty title -- and Director of the Institute for Quantitative Social Science. King develops and applies empirical methods in many areas of social science, focusing on innovations that span the range from statistical theory to practical application.

You can see the related collections for Dr. King here:
Social Science One
Gov2001
Readme2 Replication
ROAD
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REP6A.FMT
Jan 11, 2024 - Archive of the Controversy Involving Wendy K. Tam Cho, Brian J. Gaines, and the American Political Science Review
Unknown - 357.8 KB - MD5: 5b0b266fb3c177a87473a45c9185e834
Data
REP6B.FMT
Jan 11, 2024 - Archive of the Controversy Involving Wendy K. Tam Cho, Brian J. Gaines, and the American Political Science Review
Unknown - 689.1 KB - MD5: 517aa363456cff733bbd1456817cc25a
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REP7A.FMT
Jan 11, 2024 - Archive of the Controversy Involving Wendy K. Tam Cho, Brian J. Gaines, and the American Political Science Review
Unknown - 357.8 KB - MD5: 5aa90416f093a1791fbe2e6c746c17c2
Data
REP7B.FMT
Jan 11, 2024 - Archive of the Controversy Involving Wendy K. Tam Cho, Brian J. Gaines, and the American Political Science Review
Unknown - 689.1 KB - MD5: e228cba73a3d3104b2dabbd9a980ad81
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REP8A.FMT
Jan 11, 2024 - Archive of the Controversy Involving Wendy K. Tam Cho, Brian J. Gaines, and the American Political Science Review
Unknown - 357.8 KB - MD5: 3f54e7bc034c6cc82071d820789f3618
Data
REP8B.FMT
Jan 11, 2024 - Archive of the Controversy Involving Wendy K. Tam Cho, Brian J. Gaines, and the American Political Science Review
Unknown - 689.1 KB - MD5: f92b7a9ff7626d41f5dd5bafe6d8c50c
Data
REP9A.FMT
Jan 11, 2024 - Archive of the Controversy Involving Wendy K. Tam Cho, Brian J. Gaines, and the American Political Science Review
Unknown - 357.8 KB - MD5: d5e580569e88d2ef801408053a01eed9
Data
REP9B.FMT
Jan 11, 2024 - Archive of the Controversy Involving Wendy K. Tam Cho, Brian J. Gaines, and the American Political Science Review
Unknown - 689.1 KB - MD5: 18a6ad743e9c63333a5502a3646c4813
Data
Replication Data for: Differentially Private Survey Research
Dec 19, 2023 - American Journal of Political Science (AJPS) Dataverse
Evans, Georgina; King, Gary; Smith, Adam; Thakurta, Abhradeep, 2023, "Replication Data for: Differentially Private Survey Research", https://doi.org/10.7910/DVN/X4Y2FL, Harvard Dataverse, V1, UNF:6:1hQlAh8RGzLi+kKnI82oXw== [fileUNF]
Survey researchers have long protected the privacy of respondents via de-identification (removing names and other directly identifying information) before sharing data. Although these procedures help, recent research demonstrates that they fail to protect respondents from intentional re-identification attacks, a problem that threatens to undermine...
dp_hier_hist.R
Dec 19, 2023 - Replication Data for: Differentially Private Survey Research
R Syntax - 8.0 KB - MD5: 5cf51614afb081e43f29e64217385f82
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