Christopher J. Fariss Dataverse

Share Dataverse

Share this dataverse on your favorite social media networks.

I am currently an Assistant Professor in the Department of Political Science at the University of Michigan. Prior to beginning this appointment, I was the Jeffrey L. Hyde and Sharon D. Hyde and Political Science Board of Visitors Early Career Professor in Political Science in the Department of Political Science at Penn State University. In June 2013, I graduated with a Ph.D. in political science from the University of California, San Diego. I also studied at the University of North Texas, where I graduated with an M.S. in political science (2007), a B.F.A in drawing and painting (2005), and a B.A. in political science (2005). My core research focuses on the politics and measurement of human rights, discrimination, violence, and repression. I use computational methods to understand why governments around the world torture, maim, and kill individuals within their jurisdiction and the processes monitors use to observe and document these abuses. Other projects cover a broad array of themes but share a focus on computationally intensive methods and research design. These methodological tools, essential for analyzing data at massive scale, open up new insights into the micro-foundations of state repression and the politics of measurement. Please visit my website for more information about my research.

Featured Dataverses

In order to use this feature you must have at least one published dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

1 to 10 of 19 Results

Yes, Human Rights Practices Are Improving Over Time Mar 1, 2019 Fariss, Christopher, 2019, "Yes, Human Rights Practices Are Improving Over Time", https://doi.org/10.7910/DVN/EB8DD8, Harvard Dataverse, V1 To document human rights, monitoring organizations establish a standard of accountability, or a baseline set of expectations that states ought to meet in order to be considered respectful of human rights. If the standard of accountability has meaningfully changed then the categor...
Replication Data for: Are Things Really Getting Better?: How To Validate Latent Variable Models of Human Rights Jun 6, 2017 - British Journal of Political Science Dataverse Fariss, Christopher, 2017, "Replication Data for: Are Things Really Getting Better?: How To Validate Latent Variable Models of Human Rights", https://doi.org/10.7910/DVN/KWM3CY, Harvard Dataverse, V1, UNF:6:CAH/CfpFOhd1Gjr9Z7JHSA== [fileUNF] Has respect for human rights improved? Answering this question requires valid comparisons of repression levels in many different states across time. Theoretically informed latent variable models of difficult-to-measure concepts such as human rights and treaty compliance tell a di...
Replication Data for: Power, Proximity, and Democracy: Geopolitical Competition in the International System Mar 26, 2017 Markowitz, Jonathan; Fariss, Christopher, 2017, "Replication Data for: Power, Proximity, and Democracy: Geopolitical Competition in the International System", https://doi.org/10.7910/DVN/5QA9YS, Harvard Dataverse, V1, UNF:6:Ds6C6qGNzETvb0HAno5PBA== [fileUNF] Why do only some powerful states project military power globally? To answer this question, we test the proposition that states choose to project military power when they face a competitive geopolitical environment. This proposition is derived from our theory, which is used to con...
Human Rights Texts: Converting Human Rights Primary Source Documents into Data Nov 9, 2015 Christopher J. Fariss; Fridolin J. Linder; Zachary M. Jones; Charles D. Crabtree; Megan A. Biek; Ana-Sophia M. Ross; Taranamol Kaur; Michael Tsai, 2015, "Human Rights Texts: Converting Human Rights Primary Source Documents into Data", https://doi.org/10.7910/DVN/IAH8OY, Harvard Dataverse, V3 Human rights reports and metadata
Uncovering Patterns Among Latent Variables: Human Rights and De Facto Judicial Independence Aug 14, 2015 - Research & Politics Dataverse Crabtree, Charles; Fariss, Christopher J., 2015, "Uncovering Patterns Among Latent Variables: Human Rights and De Facto Judicial Independence", https://doi.org/10.7910/DVN/LVYOKM, Harvard Dataverse, V3, UNF:6:tuEDrjAIaijYVl42g6/E/w== [fileUNF] In this paper, we reexamine the relationship between judicial independence and state respect for human rights by taking advantage of new latent measures of both constructs. In our analysis, we demonstrate a simple method for incorporating the uncertainty of these latent variables...
Replication Data for: The Changing Standard of Accountability and the Positive Relationship between Human Rights Treaty Ratification and Compliance May 9, 2015 Fariss, Christopher, 2015, "Replication Data for: The Changing Standard of Accountability and the Positive Relationship between Human Rights Treaty Ratification and Compliance", https://doi.org/10.7910/DVN/TI77ZP, Harvard Dataverse, V2 Researchers have puzzled over the finding that countries that ratify UN human rights treaties such as the Convention Against Torture are more likely to abuse human rights than non-ratifiers over time. I present evidence that the changing standard of accountability --- the set of...
Replication data for: Recouping after Coup-Proofing: Compromised Military Effectiveness and Strategic Substitution Mar 19, 2015 Brown, Cameron S.; Fariss, Christopher J.; McMahon, R. Blake, 2015, "Replication data for: Recouping after Coup-Proofing: Compromised Military Effectiveness and Strategic Substitution", https://doi.org/10.7910/DVN/29145, Harvard Dataverse, V1, UNF:5:AWWmW4qZulpA7vp9n8AgcQ== [fileUNF] In order to counter the threat of a coup, states often undertake a number of strategies to ``coup-proof'' their militaries, such as creating institutional redundancy, severely limiting interbranch communications, and basing promotions on loyalty rather than merit. As a result of...
Latent Human Rights Protection Scores Version 2 Feb 21, 2015 - Human Rights Scores Dataverse Fariss, Christopher, 2014, "Latent Human Rights Protection Scores Version 2", https://doi.org/10.7910/DVN/24872, Harvard Dataverse, V4, UNF:5:uYLNJHm5G1rDApL7kQzk0g== [fileUNF] The latent Human Rights Protection Scores (version 2) available in this section were generated using a dynamic ordinal item-response theory model discussed at length in the two papers listed below. The newest version of this model is also dynamic in the treatment of the item-diff...
Replication data for: The Strategic Substitution of United States Foreign Aid Jan 25, 2015 Christopher J. Fariss, 2010, "Replication data for: The Strategic Substitution of United States Foreign Aid", https://doi.org/10.7910/DVN/T0JSVN, Harvard Dataverse, V3, UNF:5:8xCt++sDUHvHpo+YSen0OQ== [fileUNF] I present a foreign policy decision-making theory that accounts for why US food aid is used strategically when other more powerful economic aid tools are at the disposal of policy makers. I focus my analysis on US food aid because this aid program provides an excellent case with...
Replication data for: International Criminal Defense: The Influence of Attorney Background on Judicial Decision Making at the International Criminal Tribunal for Rwanda Jan 25, 2015 James D. Meernik; Christopher J. Fariss, 2011, "Replication data for: International Criminal Defense: The Influence of Attorney Background on Judicial Decision Making at the International Criminal Tribunal for Rwanda", https://doi.org/10.7910/DVN/HHPPZD, Harvard Dataverse, V2, UNF:5:g4CRmPCV4lSQyAEmR4IaEQ== [fileUNF]

Yes, Human Rights Practices Are Improving Over Time

Mar 1, 2019

Fariss, Christopher, 2019, "Yes, Human Rights Practices Are Improving Over Time", https://doi.org/10.7910/DVN/EB8DD8, Harvard Dataverse, V1

To document human rights, monitoring organizations establish a standard of accountability, or a baseline set of expectations that states ought to meet in order to be considered respectful of human rights. If the standard of accountability has meaningfully changed then the categor...

Replication Data for: Are Things Really Getting Better?: How To Validate Latent Variable Models of Human Rights

Jun 6, 2017 - British Journal of Political Science Dataverse

Fariss, Christopher, 2017, "Replication Data for: Are Things Really Getting Better?: How To Validate Latent Variable Models of Human Rights", https://doi.org/10.7910/DVN/KWM3CY, Harvard Dataverse, V1, UNF:6:CAH/CfpFOhd1Gjr9Z7JHSA== [fileUNF]

Has respect for human rights improved? Answering this question requires valid comparisons of repression levels in many different states across time. Theoretically informed latent variable models of difficult-to-measure concepts such as human rights and treaty compliance tell a di...

Replication Data for: Power, Proximity, and Democracy: Geopolitical Competition in the International System

Mar 26, 2017

Markowitz, Jonathan; Fariss, Christopher, 2017, "Replication Data for: Power, Proximity, and Democracy: Geopolitical Competition in the International System", https://doi.org/10.7910/DVN/5QA9YS, Harvard Dataverse, V1, UNF:6:Ds6C6qGNzETvb0HAno5PBA== [fileUNF]

Why do only some powerful states project military power globally? To answer this question, we test the proposition that states choose to project military power when they face a competitive geopolitical environment. This proposition is derived from our theory, which is used to con...

Human Rights Texts: Converting Human Rights Primary Source Documents into Data

Nov 9, 2015

Christopher J. Fariss; Fridolin J. Linder; Zachary M. Jones; Charles D. Crabtree; Megan A. Biek; Ana-Sophia M. Ross; Taranamol Kaur; Michael Tsai, 2015, "Human Rights Texts: Converting Human Rights Primary Source Documents into Data", https://doi.org/10.7910/DVN/IAH8OY, Harvard Dataverse, V3

Human rights reports and metadata

Uncovering Patterns Among Latent Variables: Human Rights and De Facto Judicial Independence

Aug 14, 2015 - Research & Politics Dataverse

Crabtree, Charles; Fariss, Christopher J., 2015, "Uncovering Patterns Among Latent Variables: Human Rights and De Facto Judicial Independence", https://doi.org/10.7910/DVN/LVYOKM, Harvard Dataverse, V3, UNF:6:tuEDrjAIaijYVl42g6/E/w== [fileUNF]

In this paper, we reexamine the relationship between judicial independence and state respect for human rights by taking advantage of new latent measures of both constructs. In our analysis, we demonstrate a simple method for incorporating the uncertainty of these latent variables...

Replication Data for: The Changing Standard of Accountability and the Positive Relationship between Human Rights Treaty Ratification and Compliance

May 9, 2015

Fariss, Christopher, 2015, "Replication Data for: The Changing Standard of Accountability and the Positive Relationship between Human Rights Treaty Ratification and Compliance", https://doi.org/10.7910/DVN/TI77ZP, Harvard Dataverse, V2

Researchers have puzzled over the finding that countries that ratify UN human rights treaties such as the Convention Against Torture are more likely to abuse human rights than non-ratifiers over time. I present evidence that the changing standard of accountability --- the set of...

Replication data for: Recouping after Coup-Proofing: Compromised Military Effectiveness and Strategic Substitution

Mar 19, 2015

Brown, Cameron S.; Fariss, Christopher J.; McMahon, R. Blake, 2015, "Replication data for: Recouping after Coup-Proofing: Compromised Military Effectiveness and Strategic Substitution", https://doi.org/10.7910/DVN/29145, Harvard Dataverse, V1, UNF:5:AWWmW4qZulpA7vp9n8AgcQ== [fileUNF]

In order to counter the threat of a coup, states often undertake a number of strategies to ``coup-proof'' their militaries, such as creating institutional redundancy, severely limiting interbranch communications, and basing promotions on loyalty rather than merit. As a result of...

Latent Human Rights Protection Scores Version 2

Feb 21, 2015 - Human Rights Scores Dataverse

Fariss, Christopher, 2014, "Latent Human Rights Protection Scores Version 2", https://doi.org/10.7910/DVN/24872, Harvard Dataverse, V4, UNF:5:uYLNJHm5G1rDApL7kQzk0g== [fileUNF]

The latent Human Rights Protection Scores (version 2) available in this section were generated using a dynamic ordinal item-response theory model discussed at length in the two papers listed below. The newest version of this model is also dynamic in the treatment of the item-diff...

Replication data for: The Strategic Substitution of United States Foreign Aid

Jan 25, 2015

Christopher J. Fariss, 2010, "Replication data for: The Strategic Substitution of United States Foreign Aid", https://doi.org/10.7910/DVN/T0JSVN, Harvard Dataverse, V3, UNF:5:8xCt++sDUHvHpo+YSen0OQ== [fileUNF]

I present a foreign policy decision-making theory that accounts for why US food aid is used strategically when other more powerful economic aid tools are at the disposal of policy makers. I focus my analysis on US food aid because this aid program provides an excellent case with...

Replication data for: International Criminal Defense: The Influence of Attorney Background on Judicial Decision Making at the International Criminal Tribunal for Rwanda

Jan 25, 2015

James D. Meernik; Christopher J. Fariss, 2011, "Replication data for: International Criminal Defense: The Influence of Attorney Background on Judicial Decision Making at the International Criminal Tribunal for Rwanda", https://doi.org/10.7910/DVN/HHPPZD, Harvard Dataverse, V2, UNF:5:g4CRmPCV4lSQyAEmR4IaEQ== [fileUNF]

Add Data

Link Dataverse

Reset Modifications

Are you sure you want to reset the selected metadata fields? If you do this, any customizations (hidden, required, optional) you have done will no longer appear.