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Technical work at the non-governmental Human Rights Commission of El Salvador (CDHES-ng)

Using Statistics to Assess Lethal Violence in Civil and Inter-State War

Patrick Ball and Megan Price (2019). Using Statistics to Assess Lethal Violence in Civil and Inter-State War. Annual Review of Statistics and Its Application, Volume 6. 7 March 2019. © 2019 Annual Reviews. All rights reserved. https://doi.org/10.1146/annurev-statistics-030718-105222.

Patrick Ball and Megan Price (2019). Using Statistics to Assess Lethal Violence in Civil and Inter-State War. Annual Review of Statistics and Its Application. 7 March 2019. © 2019 Annual Reviews. All rights reserved. https://doi.org/10.1146/annurev-statistics-030718-105222.

Lies, Damned Lies, and “Official” Statistics

Megan Price and Maria Gargiulo (2021). Lies, Damned Lies, and "Official" Statistics. Health and Human Rights Journal. 24 June, 2021. © Health and Human Rights Journal.

Megan Price and Maria Gargiulo (2021). Lies, Damned Lies, and “Official” Statistics. Health and Human Rights Journal. 24 June, 2021. © Health and Human Rights Journal.

Low-risk population size estimates in the presence of capture heterogeneity

James Johndrow, Kristian Lum and Daniel Manrique-Vallier (2019). Low-risk population size estimates in the presence of capture heterogeneity. Biometrika, asy065, 22 January 2019. © 2019 Biometrika Trust. https://doi.org/10.1093/biomet/asy065

James Johndrow, Kristian Lum and Daniel Manrique-Vallier (2019). Low-risk population size estimates in the presence of capture heterogeneity. Biometrika, asy065, 22 January 2019. © 2019 Biometrika Trust. https://doi.org/10.1093/biomet/asy065

Setting the Record Straight on Predictive Policing and Race

William Isaac and Kristian Lum (2018). Setting the Record Straight on Predictive Policing and Race. In Justice Today. 3 January 2018. © 2018 In Justice Today / Medium.

William Isaac and Kristian Lum (2018). Setting the Record Straight on Predictive Policing and Race. In Justice Today. 3 January 2018. © 2018 In Justice Today / Medium.

Theoretical limits of microclustering for record linkage

James E Johndrow, Kristian Lum and D B Dunson (2018). Theoretical limits of microclustering for record linkage. Biometrika. 19 March 2018. © 2018 Oxford University Press. DOI 10.1093/biomet/asy003.

John E Johndrow, Kristian Lum and D B Dunson (2018). Theoretical limits of microclustering for record linkage. Biometrika. 19 March 2018. © 2018 Oxford University Press. DOI 10.1093/biomet/asy003.

Layers of Bias: A Unified Approach for Understanding Problems With Risk Assessment

Laurel Eckhouse, Kristian Lum, Cynthia Conti-Cook and Julie Ciccolini (2018). Layers of Bias: A Unified Approach for Understanding Problems With Risk Assessment. Criminal Justice and Behavior. November 23, 2018. © 2018 Sage Journals. All rights reserved. https://doi.org/10.1177/0093854818811379

Laurel Eckhouse, Kristian Lum, Cynthia Conti-Cook and Julie Ciccolini (2018). Layers of Bias: A Unified Approach for Understanding Problems With Risk Assessment. Criminal Justice and Behavior. November 23, 2018. © 2018 Sage Journals. All rights reserved. https://doi.org/10.1177/0093854818811379

Big Data Predictive Analytics Comes to Academic and Nonprofit Institutions to Fuel Innovation

“Revolution Analytics will allow HRDAG to handle bigger data sets and leverage the power of R to accomplish this goal and uncover the truth.” Director of Research Megan Price is quoted

Data-driven development needs both social and computer scientists

Excerpt:

Data scientists are programmers who ignore probability but like pretty graphs, said Patrick Ball, a statistician and human rights advocate who cofounded the Human Rights Data Analysis Group.

“Data is broken,” Ball said. “Anyone who thinks they’re going to use big data to solve a problem is already on the path to fantasy land.”

Happy Ada Lovelace Day!

As an organization that uses science to advocate for human rights, the goals and issues represented by Ada Lovelace Day are very near and dear to our hearts.  Additionally, we are lucky to work with and be advised by some pretty kick-ass ladies in STEM (see our People page to learn more about these amazing women (and men)). I brainstormed a list of women I could write about, as Finding Ada suggests we celebrate today by blogging about a STEM heroine.  I considered Anita Borg (she has her own institute!), who advocated tirelessly for women in computer science.  I thought about Sally Wyatt, keynote speaker and organizer of the fascinating workshop...

India

In 2009, as Indians debated institutional reform of their security forces in the wake of the previous year's Mumbai attacks, HRDAG issued a groundbreaking report about the human cost of suspending the rule of law during a violent counterinsurgency campaign in the Indian state of Punjab. Together with our partner Ensaaf, HRDAG released findings that cast substantial doubt on the Indian government's past explanations and justifications for disappearances and extrajudicial killings during the height of the Punjab counterinsurgency in the early 1990s. These findings contribute to an increasing body of knowledge that informs policy questions about the ...

Outreach at Toronto TamilFest for Counting the Dead

Michelle spent a weekend in Toronto, Canada, reaching out to the community at TamilFest, where she and a colleague invited people to sit down and talk.

HRDAG Retreat 2018

What follows is an elaborate criss-crossing of collaborations—retreat is a time to embrace the productivity that comes with being in the same room.

Data on Kosovo – Other

The other data is in three files. All of the files are comma-delimited UTF-8 (like ASCII but including the characters to render Serbian names). The fields in each file are described below. If you use these data, please cite them with the following citation, as well as this note: “These are convenience sample data, and as such they are not a statistically representative sample of events in this conflict.  These data do not support conclusions about patterns, trends, or other substantive comparisons (such as over time, space, ethnicity, age, etc.).” Human Rights Data Analysis Group. (2002). Database of NATO airstrikes, geographic coding, and KLA ...

“Surmortalité carcérale” sous Habré

Le statisticien américain Patrick Ball, expert au procès de Hissène Habré, a déclaré vendredi que le taux de mortalité d’opposants tchadiens présumés dans les prisons du régime Habré était encore pire que celui des prisonniers de guerre américains dans les camps japonais.

How Machine Learning Protects Whistle-Blowers in Staten Island

People filed complaints against NYPD officers, and HRDAG went above and beyond to protect the privacy of the people who reported the offenses.

A Definition of Database Design Standards for Human Rights Agencies.

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Patrick Ball. “A Definition of Database Design Standards for Human Rights Agencies.” © 1994 American Association for the Advancement of Science. [pdf]

Data on Kosovo Killings

The data on killings in Kosovo are in four files. All of the files are comma-delimited ASCII. The fields in each file are described below. If you use these data on Kosovo killings, please cite them with the following citation, as well as this note: “These are convenience sample data, and as such they are not a statistically representative sample of events in this conflict.  These data do not support conclusions about patterns, trends, or other substantive comparisons (such as over time, space, ethnicity, age, etc.).” Patrick Ball, Wendy Betts, Fritz Scheuren, Jana Dudukovich, and Jana Asher. (2002). AAAS/ABA-CEELI/Human Rights Data ...

Reflections: Minding the Gap

How might we learn what we don’t know? HRDAG associate Christine Grillo hits the wayback machine and recalls her first exposure to People Against Bad Things, ideas about bias and correlation versus causation, and truth.

How Data Extraction Illuminates Racial Disparities in Boston SWAT Raids

Boston Police deployed SWAT teams disproportionately to Black neighborhoods, sometimes raiding homes with young children. HRDAG extracted data revealing just how disproportionate.

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