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The Ways AI Decides How Low-Income People Work, Live, Learn, and Survive

HRDAG is mentioned in the “child welfare (sometimes called “family policing”)” section: At least 72,000 low-income children are exposed to AI-related decision-making through government child welfare agencies’ use of AI to determine if they are likely to be neglected. As a result, these children experience heightened risk of being separated from their parents and placed in foster care.


Why top funders back this small human rights organization with a global reach

Eric Sears, a director at the MacArthur Foundation who leads the grantmaker’s Technology in the Public Interest program, worked at Human Rights First and Amnesty International before joining MacArthur, and has been following HRDAG’s work for years. … One of HRDAG’s strengths is the long relationships it maintains with partners around the globe. “HRDAG is notable in that it really develops deep relationships and partnerships and trust with organizations and actors in different parts of the world,” Sears said. “I think they’re unique in the sense that they don’t parachute into a situation and do a project and leave. They tend to stick with organizations and with issues over the long term, and continually help build cases around evidence and documentation to ensure that when the day comes, when accountability is possible, the facts and the evidence are there.”


Undercover Minnesota officers suing oversight board have public LinkedIns, discipline and shootings

“In January, Invisible Institute released the data on a tool called the National Police Index, which houses data from over two dozen of POST’s peer agencies around the country. Developed by Invisible Institute, Human Rights Data Analysis Group, and Innocence & Justice Louisiana, the NPI seeks employment history data from state POST agencies to track, among other questions, the issue of so-called “wandering cops” who move from department to department after committing misconduct.” Read the article.


Rain soaks homeless Haitians, collapses shacks


Using Data and Statistics to Bring Down Dictators

In this story, Guerrini discusses the impact of HRDAG's work in Guatemala, especially the trials of General José Efraín Ríos Montt and Colonel Héctor Bol de la Cruz, as well as work in El Salvador, Syria, Kosovo, and Timor-Leste. Multiple systems estimation and the perils of using raw data to draw conclusions are also addressed. Megan Price and Patrick Ball are quoted, especially in regard to how to use raw data. “From our perspective,” Price says, “the solution to that is both to stay very close to the data, to be very conservative in your interpretation of it and to be very clear about where the data came from, how it was collected, what ...

You Are Not So Smart: How we miss what is missing and what to do about it

On the San Francisco program, You Are Not So Smart, HRDAG director of research Megan Price talked with host David McRaney about Syria, human rights violations, and statistical analysis. The topic was survivorship bias. Megan's part in the podcast begins around Minute 27. From the YANSS blog: "Unfortunately, survivorship bias stands between you and the epiphanies you seek." You Are Not So Smart March 11, 2014 (podcast April 24, 2014) San Francisco, California Link to YANSS podcast @notsmartblog @davidmcraney Back to Talks

Sierra Leone TRC Data and Statistical Appendix

HRDAG assisted the Sierra Leone Truth and Reconciliation Commission in building a systematic data coding system, electronic database, and secure data analysis process to manage the thousands of statements given to them in the course of their work. HRDAG executive director Patrick Ball and HRDAG field consultant Richard Conibere worked at the TRC full-time for approximately eighteen months starting in March 2003. HRDAG worked with TRC researchers to help them incorporate quantitative findings to support the qualitative findings in their writing for the other chapters of the TRC report. In addition, HRDAG produced a Statistical Appendix to present ...

Data Mining for Good: Thoreau Center Lunch + Learn

At the Thoreau Center for Sustainability's “Lunch and Learn,” Patrick Ball spoke about “Data Mining for Good.” The talk included a discussion of how HRDAG uses random sampling, entity resolution, communications metadata, and statistical modeling to assist prosecutions of human rights violators. With an introduction by John DeCock, Chief Operating and Outreach Officer, Bioneers. The Thoreau Center for Sustainability Lunch and Learn October 23, 2014 San Francisco, California Back to Talks  

Kosovo 1999 – Using MSE to Examine Political Claims

Patrick Ball expanded his use of multiple systems estimation (MSE) to clarify the history of a deadly conflict in Kosovo. The violence began in 1989 when Serbian President Slobodan Milošević revoked Kosovo's autonomous status within the Republic of Serbia triggering fighting between Kosovar Albanians and the Yugoslav government. Allegations of widespread and systematic human rights violations were made against Serbian forces and NATO intervened to repel Serb forces from Kosovo. Ball and Scheuren gathered data from Albanian border crossings and other sources in the region. They used this information to examine the claim by the Yugoslav government ...

Civil War in Syria: The Internet as a Weapon of War

Suddeutsche Zeitung writer Hakan Tanriverdi interviews HRDAG affiliate Anita Gohdes and writes about her work on the Syrian casualty enumeration project for the UN Office of the High Commissioner for Human Rights. This article, "Bürgerkrieg in Syrien: Das Internet als Kriegswaffe," is in German. Suddeutsche Zeitung Hakan Tanriverdi January 4, 2015 Link to story on SZ Related blogpost (Updated Casualty Count for Syria) Back to Press Room

Recent Talks


Improving the estimate of U.S. police killings

Cory Doctorow of Boing Boing writes about HRDAG executive director Patrick Ball and his contribution to Carl Bialik's article about the recently released Bureau of Justice Statistics report on the number of annual police killings, both reported and unreported, in 538 Politics. Doctorow writes: Patrick Ball and the Human Rights Data Analysis Group applied the same statistical rigor that he uses in estimating the scale of atrocities and genocides for Truth and Reconciliation panels in countries like Syria and Guatemala to the problem of estimating killing by US cops, and came up with horrific conclusions. Ball was responding to a set of new estima...

Record Linkage and Other Statistical Models for Quantifying Conflict Casualties in Syria

How do we know how many people have been killed in Syria? The hard answer is we don't. In this talk, presented at Strata, Megan Price addresses how HRDAG uses random forests, multiple systems estimation, and various Python and R packages to estimate conflict casualties. STRATA February 13, 2014 Santa Clara, California Link to 10-minute talk on youtube Back to Talks

Past Events


Projects


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USA

.hrdag-algo-button { margin-bottom: 25px; a { border-radius: 18px; background-color: #4f81ed; padding: 8px 18px; text-decoration: none; color: white; border: 1px solid transparent; } a:hover { color: #4f81ed; border: 1px solid #4f81ed; background-color: transparent; } } HRDAG’s analysis and expertise continues to deepen the national conversation about police violence and criminal legal reform in the United States. In 2015 we began by considering undocumented victims of police violence, relying on the same methodological approach we’ve tested internationally for ...

Liberian Truth and Reconciliation Commission Data

In July 2009, The Human Rights Data Analysis Group concluded a three-year project with the Liberian Truth and Reconciliation Commission to help clarify Liberia’s violent history and hold perpetrators of human rights abuses accountable for their actions. In the course of this work, HRDAG analyzed more than 17,000 victim and witness statements collected by the Liberian Truth and Reconciliation Commission and compiled the data into a report entitled “Descriptive Statistics From Statements to the Liberian Truth and Reconciliation Commission.” Liberian TRC data and the accompanying data dictionary anonymized-statgivers.csv contains information ...

Kosovo Data – Killings, Migrations and More

Much of the debate about the March–June 1999 war between NATO and Yugoslavia turned on how many people left their homes in particular places and at certain times. Solid information about the flow of refugees out of Kosovo has helped investigators to link patterns in the flow to patterns of NATO bombing, Yugoslav strategic plans for "cleansing" Kosovo, and Yugoslav and irregular troop deployments. At its heart, the debate was about whether refugees left their homes fleeing NATO attacks and fighting between the KLA and Yugoslav forces, or whether they left their homes after being threatened, assaulted, and robbed by Yugoslav police, army, and irregu...

CIIDH Data – Variables List

Version date: 2000.01.29 Current version: ATV20.1 Patrick Ball & Herbert F. Spirer Below are listed the 19 files that constitute the CIIDH database. We have noted those that include data that might be analytically useful in future versions of ATV. File names and brief definitions are in bold, and variable summaries are in bulleted points. CXTOV2 (Context; links to VLCNV2) Additional detail on geographic location of case Narrative summary CXTOV2ex (Context extension; links to CXTOV2) Fine breakdown on the age category & sex of anonymous victims CXTOV2lg (Context extension; links to CXTOV2) Legal procedures taken on behalf of the ...

Our work has been used by truth commissions, international criminal tribunals, and non-governmental human rights organizations. We have worked with partners on projects on five continents.

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