Academic

Shiro Kuriwaki

Political Science · 0000-0002-5687-2647 · Yale University

Citations received by year

Google Scholar profile

Citations received in each calendar year across this verified Scholar profile. Bars are annual counts; missing years are unknown. 2026 is an incomplete calendar year.

Publications

29 rows, 2 from the Scholar profile only, 7 need review

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2026 Ticket Splitting in a Nationalized Era. The Journal of Politics article journal CV OA GS

CV span

lines 52–53 · CV · published

5213. Shiro Kuriwaki. “Ticket Splitting in a Nationalized Era.” Journal of Politics 88:1 (2026). DOI:5310.1086/734263

Institution fields

Peer reviewed: yes
First author: Kuriwaki
Co-authors: none
Subfield: american politics
Method: none
Invited: none
Publisher: none
Reprint or translation: none

Fields by source

Field	CV	OpenAlex	Scholar	CrossRef
title cv	Ticket Splitting in a Nationalized Era.	Ticket Splitting in a Nationalized EraTicket Splitting in a Nationalized EraTicket Splitting in a Nationalized Era	Ticket Splitting in a Nationalized Era
year cv	2026	201920242025	2026
venue crossref	Journal of Politics	The Journal of Politics	Journal of Politics	The Journal of Politics
kind cv	article	working_paperarticleworking_paper	other
DOI cv	10.1086/734263	10.31235/osf.io/bvgz310.1086/73426310.31235/osf.io/bvgz3_v2
preprint DOI openalex		10.31235/osf.io/bvgz310.31235/osf.io/bvgz3_v2
first author openalex	Kuriwaki	KuriwakiKuriwakiKuriwaki	Kuriwaki

Also recorded as

W4233231182 (DOI 10.31235/osf.io/bvgz3) · preprint · 2019 Ticket Splitting in a Nationalized Era

Citations

OpenAlex: 9
Scholar: 42
DOI: 10.1086/734263
OpenAlex: W4405311199

Match decisions

doi merged · 1.00 · Run 17

2025 Collective Representation in Congress. Perspectives on Politics article journal CV OA GS

CV span

lines 42–43 · CV · published

4216. Stephen Ansolabehere and Shiro Kuriwaki. “Collective Representation in Congress.” Perspectives43on Politics. (2025). DOI: 10.1017/S1537592725101916

Institution fields

Peer reviewed: yes
First author: Ansolabehere
Co-authors: Stephen Ansolabehere; Shiro Kuriwaki
Subfield: american politics
Method: none
Invited: none
Publisher: none
Reprint or translation: none

Fields by source

Field	CV	OpenAlex	Scholar
title cv	Collective Representation in Congress.	Collective Representation in Congress	Collective representation in Congress
year cv	2025	2025	2026
venue crossref	Perspectives on Politics	Perspectives on Politics	Perspectives on Politics
kind cv	article	article	other
DOI cv	10.1017/s1537592725101916	10.1017/s1537592725101916
first author openalex	Ansolabehere	Ansolabehere	Ansolabehere

Citations

OpenAlex: 3
Scholar: 7
DOI: 10.1017/s1537592725101916
OpenAlex: W4413738911

Match decisions

doi merged · 1.00 · Run 17

2025 How Partisan are U.S. Local Elections? Evidence from 2020 Cast Vote Records. American Political Science Review version 2026 How Partisan Are US Local Elections? Evidence from 2020 Cast Vote Records article journal CV OA GS

CV span

lines 38–40 · CV · published

3817. Aleksandra Conevska, Shigeo Hirano, Shiro Kuriwaki, Can Mutlu, Jeffrey B. Lewis, and James39M. Snyder, Jr. “How Partisan are U.S. Local Elections? Evidence from 2020 Cast Vote Records.”40American Political Science Review. (2025). DOI: 10.1017/S0003055425100920

Institution fields

Peer reviewed: yes
First author: Conevska
Co-authors: Aleksandra Conevska; Shigeo Hirano; Shiro Kuriwaki; Can Mutlu; Jeffrey B. Lewis; James M. Snyder, Jr.
Subfield: american politics
Method: quantitative
Invited: none
Publisher: none
Reprint or translation: none

Fields by source

Field	CV	OpenAlex	CrossRef
title cv	How Partisan are U.S. Local Elections? Evidence from 2020 Cast Vote Records.	How Partisan are U.S. Local Elections? Evidence from 2020 Cast Vote RecordsHow Partisan are U.S. Local Elections? Evidence from 2020 Cast Vote RecordsHow Partisan are U.S. Local Elections? Evidence from 2020 Cast Vote RecordsHow Partisan Are U.S. Local Elections? Evidence from 2020 Cast Vote Records
year cv	2025	2024202420252025
venue crossref	American Political Science Review	American Political Science Review
kind cv	article	working_paperworking_paperworking_paperarticle
DOI cv	10.1017/s0003055425100920	10.31219/osf.io/db3mj10.31219/osf.io/db3mj_v110.31219/osf.io/db3mj_v210.1017/s0003055425100920
preprint DOI crossref		10.31219/osf.io/db3mj10.31219/osf.io/db3mj_v110.31219/osf.io/db3mj_v2	10.31219/osf.io/db3mj_v1
first author openalex	Conevska	ConevskaConevskaConevskaConevska

Also recorded as

W4404232164 (DOI 10.31219/osf.io/db3mj) · preprint · 2024 How Partisan are U.S. Local Elections? Evidence from 2020 Cast Vote Records
W4410278697 (DOI 10.31219/osf.io/db3mj_v1) · preprint · 2024 How Partisan are U.S. Local Elections? Evidence from 2020 Cast Vote Records
W4410293553 (DOI 10.31219/osf.io/db3mj_v2) · preprint · 2025 How Partisan are U.S. Local Elections? Evidence from 2020 Cast Vote Records

Citations

OpenAlex: 1
Scholar: none
OpenAlex with related records: 4
Scholar with related records: 10
DOI: 10.1017/s0003055425100920
OpenAlex: W4414544735

Match decisions

doi merged · 1.00 · Run 17

2025 Privacy Violations in Election Results. Science Advances article CV OA GS needs review

CV span

lines 49–50 · CV · published

4914. Shiro Kuriwaki, Jeffrey B. Lewis, and Michael Morse. Privacy Violations in Election Results. Sci-50ence Advances 11 (2025). DOI: 10.1126/adt1512

Institution fields

Peer reviewed: yes
First author: Kuriwaki
Co-authors: Shiro Kuriwaki; Jeffrey B. Lewis; Michael Morse
Subfield: methodology
Method: quantitative
Invited: none
Publisher: none
Reprint or translation: none

Fields by source

Field	CV	OpenAlex	Scholar
title cv	Privacy Violations in Election Results.	Privacy Violations in Election Results	Privacy violations in election results
year cv	2025	2023	2025
venue cv	Science Advances	arXiv (Cornell University)	Science advances
kind cv	article	working_paper	other
DOI cv	10.1126/adt1512	10.48550/arxiv.2308.04100
preprint DOI openalex		10.48550/arxiv.2308.04100
first author cv	Kuriwaki	Kuriwaki	Kuriwaki

Citations

OpenAlex: 3
Scholar: 7
DOI: 10.1126/adt1512
OpenAlex: W4385714016

Match decisions

passthrough_guard not merged · 0.95 · doi_conflict · Run 17 These records share the same title, authors, and DOI pointing to the Science Advances publication in 2025.
preprint merged · 1.00 · Run 17

2025 Winning Elections with Unpopular Policies: Valence Advantage and Single-Party Dominance in Japan. Quarterly Journal of Political Science article CV OA GS

CV span

lines 45–47 · CV · published

4515. Shiro Kuriwaki, Yusaku Horiuchi, and Daniel M. Smith. “Winning Elections with Unpopular Poli-46cies: Valence Advantage and Single-Party Dominance in Japan.” Quarterly Journal of Political47Science 20:4 (2025). DOI: 10.1561/100.00024134

Institution fields

Peer reviewed: yes
First author: Kuriwaki
Co-authors: Shiro Kuriwaki; Yusaku Horiuchi; Daniel M. Smith
Subfield: comparative politics
Method: none
Invited: none
Publisher: none
Reprint or translation: none

Fields by source

Field	CV	OpenAlex	Scholar
title cv	Winning Elections with Unpopular Policies: Valence Advantage and Single-Party Dominance in Japan.	Winning Elections with Unpopular Policies: Valence Advantage and Single-Party Dominance in Japan	Winning elections with unpopular policies: Valence advantage and single-party dominance in Japan
year cv	2025	2023	2025
venue crossref	Quarterly Journal of Political Science	SSRN Electronic Journal	Quarterly Journal of Political Science
kind cv	article	working_paper	other
DOI cv	10.1561/100.00024134	10.2139/ssrn.4371978
preprint DOI openalex		10.2139/ssrn.4371978
first author cv	Kuriwaki	Kuriwaki	Kuriwaki

Citations

OpenAlex: 5
Scholar: 19
DOI: 10.1561/100.00024134
OpenAlex: W4323063638

Match decisions

preprint merged · 1.00 · Run 17

2024 Cast Vote Records: A Database of Ballots from the 2020 U.S. Election Scientific Data version 2024 Cast vote records: A database of ballots from the 2020 U.S. Election. article journal CV OA GS needs review

CV span

lines 177–180 · CV · unverified · published

1774. Shiro Kuriwaki, Mason Reece, Samuel Baltz, Aleksandra Conevska, Joseph R. Loffredo, Can Mutlu,178Taran Samarth, Kevin E. Acevedo Jetter, Zachary Djanogly Garai, Kate Murray, Shigeo Hirano,179Jeffrey B. Lewis, James M. Snyder Jr., and Charles Stewart III. “Cast vote records: A database of180ballots from the 2020 U.S. Election,” Harvard Dataverse. DOI: 10.7910/DVN/PQQ3KV

Institution fields

Peer reviewed: no
First author: Kuriwaki
Co-authors: Shiro Kuriwaki; Mason Reece; Samuel Baltz; Aleksandra Conevska; Joseph R. Loffredo; Can Mutlu; Taran Samarth; Kevin E. Acevedo Jetter; Zachary Djanogly Garai; Kate Murray; Shigeo Hirano; Jeffrey B. Lewis; James M. Snyder Jr.; Charles Stewart III
Subfield: american politics
Method: quantitative
Invited: none
Publisher: none
Reprint or translation: none

Fields by source

Field	CV	OpenAlex	Scholar	CrossRef
title cv	Cast vote records: A database of ballots from the 2020 U.S. ElectionCast Vote Records: A Database of Ballots from the 2020 U.S. Election	Cast vote records: A database of ballots from the 2020 U.S. ElectionCast vote records: A database of ballots from the 2020 U.S. ElectionCast vote records: A database of ballots from the 2020 U.S. Election	Cast vote records: A database of ballots from the 2020 US Election
year cv	2024	202420242025	2024
venue crossref	Harvard Dataverse	arXiv (Cornell University)Scientific DataSSRN Electronic Journal	Scientific Data	Scientific Data
kind cv	otherarticle	working_paperotherworking_paper	other
DOI crossref	10.7910/dvn/pqq3kv	10.48550/arxiv.2411.0502010.1038/s41597-024-04017-110.2139/ssrn.5018616		10.1038/s41597-024-04017-1
preprint DOI openalex		10.48550/arxiv.2411.0502010.2139/ssrn.5018616
first author openalex	Kuriwaki	KuriwakiKuriwakiKuriwaki	Kuriwaki

Also recorded as

W4404389002 (DOI 10.48550/arxiv.2411.05020) · preprint · 2024 Cast vote records: A database of ballots from the 2020 U.S. Election
W4406158120 (DOI 10.2139/ssrn.5018616) · preprint · 2025 Cast vote records: A database of ballots from the 2020 U.S. Election

Citations

OpenAlex: 7
Scholar: 12
OpenAlex with related records: 14
DOI: 10.1038/s41597-024-04017-1

Match decisions

gemini merged · 0.95 · Run 17 These records share the same title, authors, and DOI for the Scientific Data article published in 2024.

2024 Evaluating Bias and Noise Induced by the U.S. Census Bureau’s Privacy Protection Methods Science Advances article journal CV OA GS

CV span

lines 60–62 · CV · published

6011. Christopher T. Kenny, Cory McCartan, Shiro Kuriwaki, Tyler Simko, and Kosuke Imai. “Evalu-61ating Bias and Noise Induced by the U.S. Census Bureau’s Privacy Protection Methods.” Science62Advances 10:18 (2024). DOI: 10.1126/sciadv.adl2524

Institution fields

Peer reviewed: yes
First author: Kenny
Co-authors: Christopher T. Kenny; Cory McCartan; Shiro Kuriwaki; Tyler Simko; Kosuke Imai
Subfield: methodology
Method: quantitative
Invited: none
Publisher: none
Reprint or translation: none

Fields by source

Field	CV	OpenAlex	Scholar	CrossRef
title cv	Evaluating Bias and Noise Induced by the U.S. Census Bureau’s Privacy Protection Methods.Evaluating Bias and Noise Induced by the U.S. Census Bureau’s Privacy Protection Methods	Evaluating Bias and Noise Induced by the U.S. Census Bureau's Privacy Protection MethodsEvaluating bias and noise induced by the U.S. Census Bureau’s privacy protection methods	Evaluating bias and noise induced by the US Census Bureau’s privacy protection methods
year cv	20242024	20232024	2024
venue crossref	Science Advances	arXiv (Cornell University)Science Advances	Science Advances	Science Advances
kind cv	articlearticle	working_paperarticle	other
DOI cv	10.1126/sciadv.adl2524	10.48550/arxiv.2306.0752110.1126/sciadv.adl2524
preprint DOI openalex		10.48550/arxiv.2306.07521
first author openalex	Kenny	KennyKenny	Kenny

Citations

OpenAlex: 20
Scholar: 41
OpenAlex with related records: 23
DOI: 10.1126/sciadv.adl2524
OpenAlex: W4396541581

Match decisions

doi merged · 1.00 · Run 17

2024 The Geography of Racially Polarized Voting: Calibrating Surveys at the District Level. American Political Science Review article journal CV OA GS

CV span

lines 64–66 · CV · published

6410. Shiro Kuriwaki, Stephen Ansolabehere, Angelo Dagonel, and Soichiro Yamauchi. “The Geography65of Racially Polarized Voting: Calibrating Surveys at the District Level.” American Political Science66Review 118:1 (2024). DOI: 10.1017/S0003055423000436

Institution fields

Peer reviewed: yes
First author: Kuriwaki
Co-authors: Shiro Kuriwaki; Stephen Ansolabehere; Angelo Dagonel; Soichiro Yamauchi
Subfield: methodology
Method: quantitative
Invited: none
Publisher: none
Reprint or translation: none

Fields by source

Field	CV	OpenAlex	Scholar
title cv	The Geography of Racially Polarized Voting: Calibrating Surveys at the District Level.	The Geography of Racially Polarized Voting: Calibrating Surveys at the District LevelThe Geography of Racially Polarized Voting: Calibrating Surveys at the District Level	The geography of racially polarized voting: Calibrating surveys at the district level
year cv	2024	20212023	2024
venue crossref	American Political Science Review	American Political Science Review	American Political Science Review
kind cv	article	working_paperarticle	other
DOI cv	10.1017/s0003055423000436	10.31219/osf.io/mk9e610.1017/s0003055423000436
preprint DOI openalex		10.31219/osf.io/mk9e6
first author openalex	Kuriwaki	KuriwakiKuriwaki	Kuriwaki

Also recorded as

W4200442566 (DOI 10.31219/osf.io/mk9e6) · preprint · 2021 The Geography of Racially Polarized Voting: Calibrating Surveys at the District Level

Citations

OpenAlex: 22
Scholar: 63
OpenAlex with related records: 28
DOI: 10.1017/s0003055423000436
OpenAlex: W4382280080

Match decisions

gemini merged · 0.95 · Run 17 These records share the same title, authors, and DOI for the American Political Science Review article.

2023 An Instrumental Variable for Non-Ignorable Nonresponse Harvard Data Science Review article journal CV OA GS

CV span

lines 127–128 · CV · published

127Shiro Kuriwaki. 2023. An Instrumental Variable for Non-Ignorable Nonresponse, Harvard Data128Science Review 5(3). Invited Commentary. DOI: 10.1162/99608f92.cfb82819

Institution fields

Peer reviewed: none
First author: Kuriwaki
Co-authors: none
Subfield: methodology
Method: none
Invited: yes
Publisher: none
Reprint or translation: none

Fields by source

Field	CV	OpenAlex	Scholar
title cv	An Instrumental Variable for Non-Ignorable Nonresponse	An Instrumental Variable for Non-ignorable Nonresponse	An Instrumental Variable for Non-Ignorable Nonresponse
year cv	2023	2023	2023
venue crossref	Harvard Data Science Review	Harvard Data Science Review	Harvard Data Science Review
kind cv	article	article	other
DOI cv	10.1162/99608f92.cfb82819	10.1162/99608f92.cfb82819
first author openalex	Kuriwaki	Kuriwaki	Kuriwaki

Citations

OpenAlex: 1
Scholar: 1
DOI: 10.1162/99608f92.cfb82819
OpenAlex: W4387300292

Match decisions

doi merged · 1.00 · Run 17

2023 Comment: The Essential Role of Policy Evaluation for the 2020 Census Disclosure Avoidance System Harvard Data Science Review article journal CV OA GS

CV span

lines 72–75 · CV · published

728. Christopher T. Kenny, Shiro Kuriwaki, Cory McCartan, Evan Rosenman, Tyler Simko, and Kosuke73Imai. “Comment: The Essential Role of Policy Evaluation for the 2020 Census Disclosure Avoid-74ance System.” Harvard Data Science Review (2023).75DOI: 10.1162/99608f92.abc2c765

Institution fields

Peer reviewed: yes
First author: Kenny
Co-authors: Christopher T. Kenny; Shiro Kuriwaki; Cory McCartan; Evan Rosenman; Tyler Simko; Kosuke Imai
Subfield: public policy
Method: none
Invited: none
Publisher: none
Reprint or translation: none

Fields by source

Field	CV	OpenAlex	Scholar	CrossRef
title cv	Comment: The Essential Role of Policy Evaluation for the 2020 Census Disclosure Avoidance System.Comment: The Essential Role of Policy Evaluation for the 2020 Census Disclosure Avoidance System	Comment: The Essential Role of Policy Evaluation for the 2020 Census Disclosure Avoidance SystemComment: The Essential Role of Policy Evaluation for the 2020 Census DisclosureAvoidance System	Comment: The Essential Role of Policy Evaluation for the 2020 Census DisclosureAvoidance System
year cv	20232023	20222023	2023
venue crossref	Harvard Data Science Review	arXiv (Cornell University)Harvard Data Science Review	Harvard Data Science Review	Harvard Data Science Review
kind cv	articlearticle	working_paperarticle	other
DOI cv	10.1162/99608f92.abc2c765	10.48550/arxiv.2210.0838310.1162/99608f92.abc2c765
preprint DOI openalex		10.48550/arxiv.2210.08383
first author openalex	Kenny	KennyKenny	Kenny

Citations

OpenAlex: 9
Scholar: 15
OpenAlex with related records: 11
DOI: 10.1162/99608f92.abc2c765
OpenAlex: W4318707902

Match decisions

doi merged · 1.00 · Run 17

2023 Widespread Partisan Gerrymandering Mostly Cancels Nationally, but Reduces Electoral Competition Proceedings of the National Academy of Sciences article journal CV OA GS

CV span

lines 68–70 · CV · published

689. Christopher T. Kenny, Cory McCartan, Tyler Simko, Shiro Kuriwaki, and Kosuke Imai. “Widespread69Partisan Gerrymandering Mostly Cancels Nationally, but Reduces Electoral Competition” with Pro-70ceedings of the National Academy of Sciences (2023). vol. 120(25). DOI: 10.1073/pnas.2217322120

Institution fields

Peer reviewed: yes
First author: Kenny
Co-authors: Christopher T. Kenny; Cory McCartan; Tyler Simko; Shiro Kuriwaki; Kosuke Imai
Subfield: american politics
Method: quantitative
Invited: none
Publisher: none
Reprint or translation: none

Fields by source

Field	CV	OpenAlex	Scholar	CrossRef
title cv	Widespread Partisan Gerrymandering Mostly Cancels Nationally, but Reduces Electoral CompetitionWidespread Partisan Gerrymandering Mostly Cancels Nationally, but Reduces Electoral Competition	Widespread Partisan Gerrymandering Mostly Cancels Nationally, but Reduces Electoral CompetitionWidespread partisan gerrymandering mostly cancels nationally, but reduces electoral competition	Widespread partisan gerrymandering mostly cancels nationally, but reduces electoral competition
year cv	20232023	20222023	2023
venue crossref	Proceedings of the National Academy of Sciences	arXiv (Cornell University)Proceedings of the National Academy of Sciences	Proceedings of the National Academy of Sciences	Proceedings of the National Academy of Sciences
kind cv	articlearticle	working_paperarticle	other
DOI cv	10.1073/pnas.2217322120	10.48550/arxiv.2208.0696810.1073/pnas.2217322120
preprint DOI openalex		10.48550/arxiv.2208.06968
first author openalex	Kenny	KennyKenny	Kenny

Citations

OpenAlex: 51
Scholar: 78
OpenAlex with related records: 58
DOI: 10.1073/pnas.2217322120
OpenAlex: W4380536986

Match decisions

doi merged · 1.00 · Run 17

2022 Congressional Representation: Accountability from the Constituent’s Perspective American Journal of Political Science article journal CV OA GS

CV span

lines 90–92 · CV · published

904. Stephen Ansolabehere and Shiro Kuriwaki. “Congressional Representation: Accountability from91the Constituent’s Perspective,” American Journal of Political Science 66:1 (2022). DOI: 10.1111/92ajps.12607

Institution fields

Peer reviewed: yes
First author: Ansolabehere
Co-authors: Stephen Ansolabehere; Shiro Kuriwaki
Subfield: american politics
Method: none
Invited: none
Publisher: none
Reprint or translation: none

Fields by source

Field	CV	OpenAlex	Scholar
title cv	Congressional Representation: Accountability from the Constituent’s Perspective	Congressional Representation: Accountability from the Constituent's PerspectiveCongressional Representation: Accountability from the Constituent’s Perspective	Congressional representation: Accountability from the constituent's perspective
year cv	2022	20212019	2022
venue crossref	American Journal of Political Science	American Journal of Political Science	American Journal of Political Science
kind cv	article	articleworking_paper	other
DOI cv	10.1111/ajps.12607	10.1111/ajps.1260710.31235/osf.io/zuskq
preprint DOI openalex		10.31235/osf.io/zuskq
first author openalex	Ansolabehere	AnsolabehereAnsolabehere	Ansolabehere

Also recorded as

W4243000009 (DOI 10.31235/osf.io/zuskq) · preprint · 2019

Citations

OpenAlex: 89
Scholar: 97
OpenAlex with related records: 94
DOI: 10.1111/ajps.12607
OpenAlex: W3159379791

Match decisions

gemini merged · 0.95 · Run 17 These records share the same title, authors, and DOI for the American Journal of Political Science article.

2022 Dataverse: R Client for Dataverse 4+ Repositories other CV OA GS Scholar only

CV span

Not in the CV.

Fields by source

Field	CV	OpenAlex	Scholar
title scholar			Dataverse: R Client for Dataverse 4+ Repositories
year scholar			2022
kind scholar			other
first author scholar			Kuriwaki

Citations

OpenAlex: none
Scholar: 3

Match decisions

No decision recorded; a single record.

2022 Simulated redistricting plans for the analysis and evaluation of redistricting in the United States: 50stateSimulations Scientific Data article journal CV OA GS

CV span

lines 77–80 · CV · published

777. Cory McCartan, Christopher T. Kenny, Tyler Simko, George Garcia III, Kevin Wang, Melissa Wu,78Shiro Kuriwaki, Kosuke Imai. “Simulated redistricting plans for the analysis and evaluation of79redistricting in the United States: 50stateSimulations,” with Nature Scientific Data (2022). DOI:8010.1038/s41597-022-01808-2

Institution fields

Peer reviewed: yes
First author: McCartan
Co-authors: Cory McCartan; Christopher T. Kenny; Tyler Simko; George Garcia III; Kevin Wang; Melissa Wu; Shiro Kuriwaki; Kosuke Imai
Subfield: methodology
Method: quantitative
Invited: none
Publisher: none
Reprint or translation: none

Fields by source

Field	CV	OpenAlex	Scholar	CrossRef
title cv	Simulated redistricting plans for the analysis and evaluation of redistricting in the United States: 50stateSimulations	Simulated redistricting plans for the analysis and evaluation of redistricting in the United StatesSimulated redistricting plans for the analysis and evaluation of redistricting in the United States	Simulated redistricting plans for the analysis and evaluation of redistricting in the United States
year cv	2022	20222022	2022
venue crossref	Nature Scientific Data	arXiv (Cornell University)Scientific Data	Scientific Data	Scientific Data
kind cv	article	working_paperother	other
DOI cv	10.1038/s41597-022-01808-2	10.48550/arxiv.2206.1076310.1038/s41597-022-01808-2
preprint DOI openalex		10.48550/arxiv.2206.10763
first author openalex	McCartan	McCartanMcCartan	McCartan

Citations

OpenAlex: 25
Scholar: 67
OpenAlex with related records: 32
Scholar with related records: 68
DOI: 10.1038/s41597-022-01808-2
OpenAlex: W4308918631

Match decisions

doi merged · 1.00 · Run 17

2021 50-State Redistricting Simulations Harvard Dataverse other CV OA GS

CV span

lines 182–184 · CV · published

1823. McCartan, Cory, Christopher T. Kenny, Tyler Simko, Shiro Kuriwaki, George Garcia III, Kevin183Wang, Melissa Wu, Kosuke Imai. 2021, “50-State Redistricting Simulations”, Harvard Dataverse.184DOI: 10.7910/DVN/SLCD3E

Institution fields

Peer reviewed: no
First author: McCartan
Co-authors: McCartan, Cory; Christopher T. Kenny; Tyler Simko; Shiro Kuriwaki; George Garcia III; Kevin Wang; Melissa Wu; Kosuke Imai
Subfield: american politics
Method: quantitative
Invited: none
Publisher: none
Reprint or translation: none

Fields by source

Field	CV	OpenAlex	Scholar
title cv	50-State Redistricting Simulations
year cv	2021
venue cv	Harvard Dataverse
kind cv	other
DOI cv	10.7910/dvn/slcd3e
first author cv	McCartan

Citations

OpenAlex: none
Scholar: none
DOI: 10.7910/dvn/slcd3e

Match decisions

No decision recorded; a single record.

2021 The Use of Differential Privacy for Census Data and its Impact on Redistricting: The Case of the 2020 U.S. Census Science Advances article journal CV OA GS

CV span

lines 86–88 · CV · published

865. Christopher T. Kenny, Shiro Kuriwaki, Cory McCartan, Tyler Simko, Evan Rosenman, and Kosuke87Imai.“The Use of Differential Privacy for Census Data and its Impact on Redistricting: The Case of88the 2020 U.S. Census,” Science Advances 7:41 (2021). DOI: 10.1126/sciadv.abk3283

Institution fields

Peer reviewed: yes
First author: Kenny
Co-authors: Christopher T. Kenny; Shiro Kuriwaki; Cory McCartan; Tyler Simko; Evan Rosenman; Kosuke Imai
Subfield: methodology
Method: quantitative
Invited: none
Publisher: none
Reprint or translation: none

Fields by source

Field	CV	OpenAlex	Scholar
title cv	The Use of Differential Privacy for Census Data and its Impact on Redistricting: The Case of the 2020 U.S. Census	The use of differential privacy for census data and its impact on redistricting: The case of the 2020 U.S. Census	The use of differential privacy for census data and its impact on redistricting: The case of the 2020 US Census
year cv	2021	2021	2021
venue crossref	Science Advances	Science Advances	Science Advances
kind cv	article	article	other
DOI cv	10.1126/sciadv.abk3283	10.1126/sciadv.abk3283
first author openalex	Kenny	Kenny	Kenny

Citations

OpenAlex: 114
Scholar: 224
DOI: 10.1126/sciadv.abk3283
OpenAlex: W3203236016

Match decisions

doi merged · 1.00 · Run 17

2021 Unrepresentative Big Surveys Significantly Overestimated US Vaccine Uptake Nature article journal CV OA GS

CV span

lines 82–84 · CV · published

826. Valerie C. Bradley, Shiro Kuriwaki, Michael Isakov, Dino Sejdinovic, Xiao-Li Meng, and Seth83Flaxman. (co-first author) “Unrepresentative Big Surveys Significantly Overestimated US Vaccine84Uptake,” Nature 600 (2021). DOI: 10.1038/s41586-021-04198-4.

Institution fields

Peer reviewed: yes
First author: Bradley
Co-authors: Valerie C. Bradley; Shiro Kuriwaki; Michael Isakov; Dino Sejdinovic; Xiao-Li Meng; Seth Flaxman
Subfield: other
Method: quantitative
Invited: none
Publisher: none
Reprint or translation: none

Fields by source

Field	CV	OpenAlex	Scholar
title cv	Unrepresentative Big Surveys Significantly Overestimated US Vaccine Uptake	Unrepresentative Big Surveys Significantly Overestimate US Vaccine UptakeUnrepresentative Big Surveys Significantly Overestimate US Vaccine UptakeUnrepresentative big surveys significantly overestimated US vaccine uptake	Unrepresentative big surveys significantly overestimated US vaccine uptake
year cv	2021	202120212021	2021
venue crossref	Nature	medRxivarXiv (Cornell University)Nature	Nature
kind cv	article	working_paperworking_paperarticle	other
DOI cv	10.1038/s41586-021-04198-4	10.1101/2021.06.10.2125869410.48550/arxiv.2106.0581810.1038/s41586-021-04198-4
preprint DOI openalex		10.1101/2021.06.10.2125869410.48550/arxiv.2106.05818
first author openalex	Bradley	BradleyBradleyBradley	Bradley

Also recorded as

W3209972881 (DOI 10.48550/arxiv.2106.05818) · preprint · 2021 Unrepresentative Big Surveys Significantly Overestimate US Vaccine Uptake

Citations

OpenAlex: 262
Scholar: 339
OpenAlex with related records: 275
DOI: 10.1038/s41586-021-04198-4
OpenAlex: W4200003648

Match decisions

doi merged · 1.00 · Run 17

2020 The ‘Math Prefresher’ and The Collective Future of Political Science Graduate Training PS: Political Science & Politics article journal CV OA GS

CV span

lines 98–100 · CV · published

982. Gary King, Shiro Kuriwaki, and Yon Soo Park.“The ‘Math Prefresher’ and The Collective Fu-99ture of Political Science Graduate Training,” PS: Political Science & Politics 53:3 (2020). DOI:10010.1017/S1049096519002245.

Institution fields

Peer reviewed: yes
First author: King
Co-authors: Gary King; Shiro Kuriwaki; Yon Soo Park
Subfield: other
Method: none
Invited: none
Publisher: none
Reprint or translation: none

Fields by source

Field	CV	OpenAlex	Scholar	CrossRef
title cv	The ‘Math Prefresher’ and The Collective Future of Political Science Graduate TrainingThe ‘Math Prefresher’ and The Collective Future of Political Science Graduate Training	The “Math Prefresher” and the Collective Future of Political Science Graduate Training	The “Math Prefresher” and the Collective Future of Political Science Graduate Training
year cv	20202020	2020	2020
venue crossref	PS: Political Science & Politics	PS Political Science & Politics	PS: Political Science & Politics	PS: Political Science & Politics
kind cv	articlearticle	article	other
DOI cv	10.1017/s1049096519002245	10.1017/s1049096519002245
first author openalex	King	King	King

Citations

OpenAlex: 4
Scholar: 3
DOI: 10.1017/s1049096519002245
OpenAlex: W3006794437

Match decisions

doi merged · 1.00 · Run 17

2020 Towards Principled Unskewing: Viewing 2020 Election Polls Through a Corrective Lens from 2016 Harvard Data Science Review article journal CV OA GS

CV span

lines 94–96 · CV · published

943. Michael Isakov and Shiro Kuriwaki. “Towards Principled Unskewing: Viewing 2020 Election Polls95Through a Corrective Lens from 2016,” Harvard Data Science Review 2:4 (2020).96DOI: 10.1162/99608f92.86a46f38.

Institution fields

Peer reviewed: yes
First author: Isakov
Co-authors: Michael Isakov; Shiro Kuriwaki
Subfield: methodology
Method: quantitative
Invited: none
Publisher: none
Reprint or translation: none

Fields by source

Field	CV	OpenAlex	Scholar
title cv	Towards Principled Unskewing: Viewing 2020 Election Polls Through a Corrective Lens from 2016	Towards Principled Unskewing: Viewing 2020 Election Polls Through a Corrective Lens from 2016Towards Principled Unskewing: Viewing 2020 Election Polls Through a Corrective Lens from 2016	Towards principled unskewing: Viewing 2020 election polls through a corrective lens from 2016
year cv	2020	20202021	2020
venue crossref	Harvard Data Science Review	Harvard Data Science Review	Harvard Data Science Review
kind cv	article	articleworking_paper	other
DOI cv	10.1162/99608f92.86a46f38	10.1162/99608f92.86a46f3810.31219/osf.io/29pvm
preprint DOI openalex		10.31219/osf.io/29pvm
first author openalex	Isakov	IsakovIsakov	Isakov

Citations

OpenAlex: 14
Scholar: 25
OpenAlex with related records: 20
DOI: 10.1162/99608f92.86a46f38
OpenAlex: W3097498243

Match decisions

doi merged · 1.00 · Run 17

2019 Charleston Exit Poll Technical Report Center for American Political Studies, Harvard University report CV OA GS

CV span

lines 134–135 · CV · published

134Shiro Kuriwaki and Shun Yamaya. 2019. “Charleston Exit Poll Technical Report.” (Center for135American Political Studies, Harvard University.)

Institution fields

Peer reviewed: none
First author: Kuriwaki
Co-authors: Shiro Kuriwaki; Shun Yamaya
Subfield: american politics
Method: quantitative
Invited: none
Publisher: Center for American Political Studies, Harvard University
Reprint or translation: none

Fields by source

Field	CV	Scholar
title cv	Charleston Exit Poll Technical Report	Charleston exit poll technical report
year cv	2019	2019
venue cv	Center for American Political Studies, Harvard University	Harvard University. Retrieved January
kind cv	report	other
first author cv	Kuriwaki	Kuriwaki

Citations

OpenAlex: none
Scholar: 1

Match decisions

fingerprint merged · 1.00 · Run 17

2019 Package ‘DirectEffects’ other CV OA GS Scholar only

CV span

Not in the CV.

Fields by source

Field	CV	OpenAlex	Scholar
title scholar			Package ‘DirectEffects’
year scholar			2019
kind scholar			other
first author scholar			Blackwell

Citations

OpenAlex: none
Scholar: none

Match decisions

No decision recorded; a single record.

2019 Wealth, Slave Ownership, and Fighting for the Confederacy: An Empirical Study of the American Civil War American Political Science Review supplement 2019 Replication Data for: Wealth, Slave Ownership, and Fighting for the Confederacy article journal CV OA GS

CV span

lines 102–104 · CV · published

1021. Andrew B. Hall, Connor Huff, and Shiro Kuriwaki.“Wealth, Slave Ownership, and Fighting for the103Confederacy: An Empirical Study of the American Civil War,” American Political Science Review104113:3 (2019). DOI: 10.1017/S0003055419000170.

Institution fields

Peer reviewed: yes
First author: Hall
Co-authors: Andrew B. Hall; Connor Huff; Shiro Kuriwaki
Subfield: american politics
Method: quantitative
Invited: none
Publisher: none
Reprint or translation: none

Fields by source

Field	CV	OpenAlex	Scholar
title cv	Wealth, Slave Ownership, and Fighting for the Confederacy: An Empirical Study of the American Civil War	Wealth, Slaveownership, and Fighting for the Confederacy: An Empirical Study of the American Civil WarWealth, Slave Ownership, and Fighting for the Confederacy: An Empirical Study of the American Civil War	Wealth, Slaveownership, and Fighting for the Confederacy: An Empirical Study of the American Civil War
year cv	2019	20192017	2019
venue crossref	American Political Science Review	American Political Science Review	American Political Science Review
kind cv	article	articleworking_paper	other
DOI cv	10.1017/s0003055419000170	10.1017/s000305541900017010.31235/osf.io/yka5v
preprint DOI openalex		10.31235/osf.io/yka5v
first author openalex	Hall	HallHall	Hall

Citations

OpenAlex: 79
Scholar: 91
OpenAlex with related records: 84
DOI: 10.1017/s0003055419000170
OpenAlex: W2788824985

Match decisions

doi merged · 1.00 · Run 17

Candidates in American General Elections Harvard Dataverse other CV OA GS needs review

CV span

lines 186–187 · CV · unverified · published

1862. Jeremiah Cha, Shiro Kuriwaki, and James M. Snyder, Jr. “Candidates in American General Elec-187tions”, Harvard Dataverse. DOI: 10.7910/DVN/DGDRDT

Institution fields

Peer reviewed: no
First author: Cha
Co-authors: Jeremiah Cha; Shiro Kuriwaki; James M. Snyder, Jr.
Subfield: american politics
Method: quantitative
Invited: none
Publisher: none
Reprint or translation: none

Fields by source

Field	CV	OpenAlex	Scholar
title cv	Candidates in American General Elections
venue cv	Harvard Dataverse
kind cv	other
DOI cv	10.7910/dvn/dgdrdt
first author cv	Cha

Citations

OpenAlex: none
Scholar: none
DOI: 10.7910/dvn/dgdrdt

Match decisions

No decision recorded; a single record.

ccesMRPprep: Portable Routines for Preparing CCES and ACS data for MRP other CV OA GS

CV span

lines 195–195 · CV · unknown

195ccesMRPprep: Portable Routines for Preparing CCES and ACS data for MRP

Institution fields

Peer reviewed: no
First author: none
Co-authors: none
Subfield: methodology
Method: quantitative
Invited: none
Publisher: none
Reprint or translation: none

Fields by source

Field	CV	OpenAlex	Scholar
title cv	ccesMRPprep: Portable Routines for Preparing CCES and ACS data for MRP
kind cv	other
first author cv	Kuriwaki

Citations

OpenAlex: none
Scholar: none

Match decisions

No decision recorded; a single record.

Cumulative CES Common Content Harvard Dataverse version 2023 Cumulative CCES Common Content other CV OA GS needs review

CV span

lines 189–189 · CV · unverified · published

1891. Shiro Kuriwaki, “Cumulative CES Common Content”, Harvard Dataverse. DOI: 10.7910/DVN/II2DB6

Institution fields

Peer reviewed: no
First author: Kuriwaki
Co-authors: none
Subfield: american politics
Method: quantitative
Invited: none
Publisher: none
Reprint or translation: none

Fields by source

Field	CV	OpenAlex	Scholar
title cv	Cumulative CES Common Content
venue cv	Harvard Dataverse
kind cv	other
DOI cv	10.7910/dvn/ii2db6
first author cv	Kuriwaki

Citations

OpenAlex: none
Scholar: none
Scholar with related records: 92
DOI: 10.7910/dvn/ii2db6

Match decisions

No decision recorded; a single record.

dataverse: Provides access to Dataverse APIs enabling data search, retrieval, and deposit CRAN other CV OA GS needs review

CV span

lines 193–194 · CV · unverified · published

193dataverse: Provides access to Dataverse APIs enabling data search, retrieval, and deposit. [CRAN]194(Maintainer)

Institution fields

Peer reviewed: no
First author: none
Co-authors: none
Subfield: methodology
Method: none
Invited: none
Publisher: none
Reprint or translation: none

Fields by source

Field	CV	OpenAlex	Scholar
title cv	dataverse: Provides access to Dataverse APIs enabling data search, retrieval, and deposit
venue cv	CRAN
kind cv	other
first author cv	Kuriwaki

Citations

OpenAlex: none
Scholar: none

Match decisions

No decision recorded; a single record.

ddi: The Data Defect Index for Samples that May not be IID CRAN other CV OA GS needs review

CV span

lines 196–196 · CV · unverified · published

196ddi: The Data Defect Index for Samples that May not be IID. [CRAN] (Creator)

Institution fields

Peer reviewed: no
First author: none
Co-authors: none
Subfield: methodology
Method: quantitative
Invited: none
Publisher: none
Reprint or translation: none

Fields by source

Field	CV	OpenAlex	Scholar
title cv	ddi: The Data Defect Index for Samples that May not be IID
venue cv	CRAN
kind cv	other
first author cv	Kuriwaki

Citations

OpenAlex: none
Scholar: none

Match decisions

No decision recorded; a single record.

DirectEffects: Estimating Controlled Direct Effects for Explaining Causal Findings CRAN other CV OA GS needs review

CV span

lines 197–198 · CV · unverified · published

197DirectEffects: Estimating Controlled Direct Effects for Explaining Causal Findings. [CRAN] (Au-198thor, with others)

Institution fields

Peer reviewed: no
First author: none
Co-authors: none
Subfield: methodology
Method: quantitative
Invited: none
Publisher: none
Reprint or translation: none

Fields by source

Field	CV	OpenAlex	Scholar
title cv	DirectEffects: Estimating Controlled Direct Effects for Explaining Causal Findings
venue cv	CRAN
kind cv	other
first author cv	Kuriwaki

Citations

OpenAlex: none
Scholar: none

Match decisions

No decision recorded; a single record.

sparsereg: Sparse Bayesian Models for Regression and Subgroup Analysis other CV OA GS

CV span

lines 199–200 · CV · unknown

199sparsereg: Sparse Bayesian Models for Regression and Subgroup Analysis. (Author, with Marc200Ratkovic and Dustin Tingley)

Institution fields

Peer reviewed: no
First author: none
Co-authors: none
Subfield: methodology
Method: quantitative
Invited: none
Publisher: none
Reprint or translation: none

Fields by source

Field	CV	OpenAlex	Scholar
title cv	sparsereg: Sparse Bayesian Models for Regression and Subgroup Analysis
kind cv	other
first author cv	Kuriwaki

Citations

OpenAlex: none
Scholar: none

Match decisions

No decision recorded; a single record.

In progress

11 items in progress, under review, forthcoming or a working paper · not counted as publications

2027 Representation in America: Majority Rule in a Divided Political System The University of Chicago Press book CV OA GS

CV span

lines 33–34 · CV · forthcoming

33Stephen Ansolabehere and Shiro Kuriwaki. Representation in America: Majority Rule in a Divided34Political System. The University of Chicago Press, forthcoming.

Institution fields

Peer reviewed: yes
First author: Ansolabehere
Co-authors: Stephen Ansolabehere; Shiro Kuriwaki
Subfield: american politics
Method: none
Invited: none
Publisher: The University of Chicago Press
Reprint or translation: none

Fields by source

Field	CV	Scholar
title cv	Representation in America: Majority Rule in a Divided Political System	Representation in America: Majority Rule in a Divided Political System
year scholar		2027
venue cv	The University of Chicago Press	University of Chicago Press
kind cv	book	other
first author cv	Ansolabehere	Ansolabehere

Citations

OpenAlex: none
Scholar: none

Match decisions

fingerprint merged · 1.00 · Run 17

2026 The Role of Confounders and Linearity in Ecological Inference: A Reassessment arXiv preprint working paper CV OA GS Scholar only

CV span

Not in the CV.

Fields by source

Field	OpenAlex	Scholar
title scholar	The Role of Confounders and Linearity in Ecological Inference: A ReassessmentThe Role of Confounders and Linearity in Ecological Inference: A Reassessment	The Role of Confounders and Linearity in Ecological Inference: A Reassessment
year scholar	20262026	2026
venue scholar	arXiv (Cornell University)arXiv (Cornell University)	arXiv preprint arXiv:2601.07668
kind scholar	working_paperworking_paper	other
DOI openalex	10.48550/arxiv.2601.07668
preprint DOI	10.48550/arxiv.2601.07668
first author scholar	KuriwakiKuriwaki	Kuriwaki

Also recorded as

W7124118835 · preprint · 2026

Citations

OpenAlex: 0
Scholar: 5
DOI: 10.48550/arxiv.2601.07668
OpenAlex: W7123759934

Match decisions

preprint merged · 1.00 · Run 17

2025 Identification and semiparametric estimation of conditional means from aggregate data arXiv preprint working paper CV OA GS Scholar only

CV span

Not in the CV.

Fields by source

Field	CV	OpenAlex	Scholar
title scholar			Identification and semiparametric estimation of conditional means from aggregate data
year scholar			2025
venue scholar			arXiv preprint arXiv:2509.20194
kind scholar			other
first author scholar			McCartan

Citations

OpenAlex: none
Scholar: 3

Match decisions

No decision recorded; a single record.

2021 Are We There Yet? Big Data Significantly Overestimates COVID-19 Vaccination in the US medRxiv working paper CV OA GS Scholar only needs review

CV span

Not in the CV.

Fields by source

Field	OpenAlex	Scholar
title scholar	Are We There Yet? Big Data Significantly Overestimates COVID-19 Vaccination in the US	Are We There Yet? Big Data Significantly Overestimates COVID-19 Vaccination in the US
year scholar	2021	2021
venue scholar		medRxiv
kind openalex	working_paper	other
first author scholar	Bradley	Bradley

Citations

OpenAlex: 0
Scholar: 4

Match decisions

preprint merged · 1.00 · Run 17

2021 Are we there yet? Big surveys significantly overestimates COVID-19 vaccination in the US arXiv preprint working paper CV OA GS Scholar only

CV span

Not in the CV.

Fields by source

Field	OpenAlex	Scholar
title scholar	Are We There Yet? Big Data Significantly Overestimates COVID-19 Vaccination in the US	Are we there yet? Big surveys significantly overestimates COVID-19 vaccination in the US
year scholar	2021	2021
venue scholar		arXiv preprint arXiv:2106.05818
kind scholar	working_paper	other
first author scholar	Bradley	Bradley

Citations

OpenAlex: none
Scholar: none
OpenAlex: W3170184451

Match decisions

preprint merged · 1.00 · Run 17

2021 Synthetic area weighting for measuring public opinion in small areas arXiv preprint working paper CV OA GS Scholar only

CV span

Not in the CV.

Fields by source

Field	OpenAlex	Scholar
title scholar	Synthetic Area Weighting for Measuring Public Opinion in Small Areas	Synthetic area weighting for measuring public opinion in small areas
year scholar	2021	2021
venue scholar	arXiv (Cornell University)	arXiv preprint arXiv:2105.05829
kind scholar	working_paper	other
DOI openalex	10.48550/arxiv.2105.05829
preprint DOI	10.48550/arxiv.2105.05829
first author scholar	Kuriwaki	Kuriwaki

Citations

OpenAlex: 1
Scholar: 8
DOI: 10.48550/arxiv.2105.05829
OpenAlex: W3163386204

Match decisions

preprint merged · 1.00 · Run 17

2021 Words to the Wise on Writing Scientific Papers OSF working paper CV OA GS

CV span

lines 130–130 · CV · published

130Susan T. Fiske and Shiro Kuriwaki. 2021. “Words to the Wise on Writing Scientific Papers”

Institution fields

Peer reviewed: none
First author: Fiske
Co-authors: Susan T. Fiske; Shiro Kuriwaki
Subfield: none
Method: none
Invited: none
Publisher: none
Reprint or translation: none

Fields by source

Field	CV	OpenAlex	Scholar
title cv	Words to the Wise on Writing Scientific Papers	Words to the Wise on Writing Scientific Papers	Words to the Wise on Writing Scientific Papers
year cv	2021	2021	2021
venue scholar			OSF
kind scholar	other	working_paper	other
DOI crossref	10.31234/osf.io/n32qw	10.31234/osf.io/n32qw
preprint DOI	10.31234/osf.io/n32qw	10.31234/osf.io/n32qw
first author cv	Fiske	Fiske	Fiske

Citations

OpenAlex: 0
Scholar: 2
DOI: 10.31234/osf.io/n32qw
OpenAlex: W4200463038

Match decisions

doi merged · 1.00 · Run 17

2020 A clustering approach for characterizing voter types: An application to high-dimensional ballot and survey data OSF Preprints working paper CV OA GS Scholar only

CV span

Not in the CV.

Fields by source

Field	OpenAlex	Scholar
title scholar	A Clustering Approach for Characterizing Voter Types: An Application to High-Dimensional Ballot and Survey Data	A clustering approach for characterizing voter types: An application to high-dimensional ballot and survey data
year scholar	2020	2020
venue scholar		OSF Preprints
kind scholar	working_paper	other
DOI openalex	10.31219/osf.io/v3rhz
preprint DOI	10.31219/osf.io/v3rhz
first author scholar	Kuriwaki	Kuriwaki

Citations

OpenAlex: 1
Scholar: 4
DOI: 10.31219/osf.io/v3rhz
OpenAlex: W4242161003

Match decisions

preprint merged · 1.00 · Run 17

2019 The Administration of Cast Vote Records in U.S. States. url working paper CV OA GS

CV span

lines 132–132 · CV · published

132Shiro Kuriwaki. 2019. “The Administration of Cast Vote Records in U.S. States.”

Institution fields

Peer reviewed: none
First author: Kuriwaki
Co-authors: none
Subfield: american politics
Method: none
Invited: none
Publisher: none
Reprint or translation: none

Fields by source

Field	CV	OpenAlex	Scholar
title cv	The Administration of Cast Vote Records in U.S. States.	The Administration of Cast Vote Records in U.S. States	The Administration of Cast Vote Records in US States
year cv	2019	2020	2020
venue scholar			url: https://bit. ly/3dxc0TD
kind openalex	other	working_paper	other
DOI crossref	10.31219/osf.io/epwqx	10.31219/osf.io/epwqx
preprint DOI	10.31219/osf.io/epwqx	10.31219/osf.io/epwqx
first author cv	Kuriwaki	Kuriwaki	Kuriwaki

Citations

OpenAlex: 0
Scholar: 4
DOI: 10.31219/osf.io/epwqx
OpenAlex: W3118366959

Match decisions

doi merged · 1.00 · Run 17

2018 Sparse Multilevel Regression (and Poststratification (sMRP) Unpublished manuscript, Harvard University working paper CV OA GS Scholar only

CV span

Not in the CV.

Fields by source

Field	CV	Scholar
title cv	Sparse Multilevel Regression (and Poststratification (sMRP)	Sparse Multilevel Regression (and Poststratification (sMRP))
year scholar		2018
venue scholar		Unpublished manuscript, Harvard University
kind cv	working_paper	other
first author cv	Tingley	Goplerud

Citations

OpenAlex: none
Scholar: 22
Scholar with related records: 24

Match decisions

No decision recorded; a single record.

2017 Math Prefresher for Political Scientists. other CV OA GS

CV span

lines 137–137 · CV · in_progress

137“Math Prefresher for Political Scientists.” (contributor and repository maintainer, 2017 - )

Institution fields

Peer reviewed: no
First author: none
Co-authors: none
Subfield: methodology
Method: none
Invited: none
Publisher: none
Reprint or translation: none

Fields by source

Field	CV	OpenAlex	Scholar
title cv	Math Prefresher for Political Scientists.
year cv	2017
kind cv	other
first author cv	Kuriwaki

Citations

OpenAlex: none
Scholar: none

Match decisions

No decision recorded; a single record.

Not counted

3 items · dissertations, talks, media, datasets · listed, not counted as publications

2021 bmlogit: Multinomial logit with balancing constraints R package version dataset not counted CV OA GS Scholar only

CV span

Not in the CV.

Fields by source

Field	CV	OpenAlex	Scholar
title scholar			bmlogit: Multinomial logit with balancing constraints
year scholar			2021
venue scholar			R package version
kind scholar			other
first author scholar			Yamauchi

Citations

OpenAlex: none
Scholar: 2

Match decisions

No decision recorded; a single record.

2021 The Swing Voter Paradox: Electoral Politics in a Nationalized Era Digital Access to Scholarship at Harvard (DASH) (Harvard University) thesis not counted CV OA GS Scholar only

CV span

Not in the CV.

Fields by source

Field	OpenAlex	Scholar
title openalex	The Swing Voter Paradox: Electoral Politics in a Nationalized Era	The swing voter paradox: Electoral politics in a nationalized era
year openalex	2021	2021
venue openalex	Digital Access to Scholarship at Harvard (DASH) (Harvard University)	Harvard University
kind openalex	thesis	other
first author openalex	Kuriwaki	Kuriwaki

Citations

OpenAlex: 2
Scholar: 8
OpenAlex: W3185945667

Match decisions

fingerprint merged · 1.00 · Run 17

2018 Cumulative CCES Common Content (2006–2018)[computer file]. Harvard Dataverse [distributor] dataset not counted CV OA GS Scholar only

CV span

Not in the CV.

Fields by source

Field	CV	OpenAlex	Scholar
title scholar			Cumulative CCES Common Content (2006–2018)[computer file]. Harvard Dataverse [distributor]
year scholar			2018
kind scholar			other
first author scholar			Kuriwaki

Citations

OpenAlex: none
Scholar: 2

Match decisions

No decision recorded; a single record.

Positions

7 from the CV · current position answer · Scholar affiliation

Title	Organization	Years	Rank	Source	Lines
Assistant Professor of Political Science current	Yale University	2022–	Assistant	CV	14, 16
Resident Fellow	Institution of Social and Policy Studies (ISPS)		Postdoc	CV	14, 17
Faculty Affiliate courtesy	Center for the Study of American Politics (CSAP)		Unknown courtesy	CV	14, 18
Visiting Scholar	George Washington University	2024–2025	Visiting visiting	CV	14, 20
Postdoctoral Research Fellow	Stanford University	2021–2022	Postdoc	CV	14, 22
Part-time Analyst	Analyst Institute in Washington D.C.	2016–2016	Unknown	CV	299, 301, 302
Full-time Analyst	Analyst Institute in Washington D.C.	2014–2015	Unknown	CV	299, 301, 303
Assistant Professor of Political Science			Assistant	CV current position	16
Assistant Professor, Yale University			Assistant	Scholar

Entries needing review

Cast vote records: A database of ballots from the 2020 U.S. Election
lines 177–180 · year_missing
Candidates in American General Elections
lines 186–187 · year_missing
Cumulative CES Common Content
lines 189–189 · year_missing
dataverse: Provides access to Dataverse APIs enabling data search, retrieval, and deposit
lines 193–194 · year_missing
ddi: The Data Defect Index for Samples that May not be IID
lines 196–196 · year_missing
DirectEffects: Estimating Controlled Direct Effects for Explaining Causal Findings
lines 197–198 · year_missing

Entries dropped by a reviewer

No dropped entries.

Google Scholar

Profile: Verified profile ↗

Rank

rank: Assistant as of 2026
source: CV positions
title: Assistant Professor of Political Science

Identity

status: Auto
OpenAlex: A5004047476
method: orcid
confidence: 1.00
cross-check: 20/26 CV titles in 91 works
Scholar: Found V9l8POIAAAAJ
open reviews: 8

Cohort

cohort: Yale Political Science

Metrics

h-index (Scholar): 14
citations (Scholar): 1304

Answers

PhD year: 2021 line 26
PhD institution: Harvard University line 26
Current position: Assistant Professor of Political Science line 16

Latest run

run: Run 17
CV: shiro_kuriwaki.pdf
stage: merge
status: Done

No outline yet.

CVs

shiro_kuriwaki.pdf current