645 results for search: %E5%A4%A7%E5%85%AC%E5%8F%B8%E7%9A%84%E4%BC%98%E5%8A%BF%E5%92%8C%E5%8A%A3%E5%8A%BF-%E3%80%90%E2%9C%94%EF%B8%8F%E6%8E%A8%E8%8D%90KK37%C2%B7CC%E2%9C%94%EF%B8%8F%E3%80%91-%E5%90%8C%E6%B2%BB%E6%AF%94%E5%85%89%E7%BB%AA%E5%A4%A7%E5%87%A0%E5%B2%81-%E5%A4%A7%E5%85%AC%E5%8F%B8%E7%9A%84%E4%BC%98%E5%8A%BF%E5%92%8C%E5%8A%A3%E5%8A%BFzo9xn-%E3%80%90%E2%9C%94%EF%B8%8F%E6%8E%A8%E8%8D%90KK37%C2%B7CC%E2%9C%94%EF%B8%8F%E3%80%91-%E5%90%8C%E6%B2%BB%E6%AF%94%E5%85%89%E7%BB%AA%E5%A4%A7%E5%87%A0%E5%B2%81p2dn-%E5%A4%A7%E5%85%AC%E5%8F%B8%E7%9A%84%E4%BC%98%E5%8A%BF%E5%92%8C%E5%8A%A3%E5%8A%BFblgpy-%E5%90%8C%E6%B2%BB%E6%AF%94%E5%85%89%E7%BB%AA%E5%A4%A7%E5%87%A0%E5%B2%81r26q/feed/rss2/chad-photo-essay


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 ...

Publications

From time to time, we issue our own scientific reports that focus on the statistical aspects of the data analysis we have done in support of our partners. These reports are non-partisan, and they leave the work of advocacy to our partners. You can search our publications by keyword or by year.

Media Contact

To speak with the researchers at HRDAG, please fill out the form below. You can search our Press Room by keyword or by year.

Covid-19 Research and Resources

HRDAG is identifying and interpreting the best science we can find to shed light on the global crisis brought on by the novel coronavirus, about which we still know so little. Right now, most of the data on the virus SARS-CoV-2 and Covid-19, the condition caused by the virus, are incomplete and unrepresentative, which means that there is a great deal of uncertainty. But making sense of imperfect datasets is what we do. HRDAG is contributing to a better understanding with explainers, essays, and original research, and we are highlighting trustworthy resources for those who want to dig deeper. Papers and articles by HRDAG .ugb-bbeb275 .ugb-blo...

Epidemiology has theories. We should study them.

With so many dashboards and shiny visualizations, how can an interested non-technical reader find good science among the noise?

RustConf 2019, and systems programming as a data scientist

It could make sense to use Rust as a data journalist for in-browser computations, and other thoughts from RustConf.

Podcast: Dr. Patrick Ball on Using Statistics to Uncover Truth

Dr. Patrick Ball recently visited the Plutopia News Network podcast for a wide-ranging, inspiring conversation about his work for the Human Rights Data Analysis Group. Patrick spoke about how he first discovered human rights work during his time in El Salvador with the Peace Brigades International.  That led to his ongoing work as a statistician and computer programmer working to assess and analyze human rights violations. He also unpacked some common statistical techniques used by researchers at Human Rights Data Analysis Group, such as multiple systems estimation, which uses multiple different datasets to gain insights into the data we don't ...

HRDAG To Join the Partnership on AI

HRDAG is joining Partnership on AI to Benefit People and Society (PAI).

Skoll World Forum 2018

Illuminating Data's Dark Side: Big data create conveniences, but we must consider who designs these tools, who benefits from them, and who is left out of the equation.

Scanning Documents to Uncover Police Violence

Administrative paperwork generated by police departments can hold evidence of police violence, but can present unique challenges for data processing.

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 ...

Celebrating our First Anniversary and Welcoming Our Newest Board Member

One year ago, HRDAG cast out on its own as an independent nonprofit—and this first year has been busy, productive, and exciting. We’re indebted to our Advisory Board for their valuable contributions and to our funders for their generosity and participation in our mission. Highlights of the past year include contributing testimony to three court cases, publishing two reports on conflict-casualties in Syria, presenting over a dozen talks (many of which are available on our talks page), traveling to over half a dozen countries to testify, collaborate with partners, and participate in conferences/workshops, hiring a new technical lead, and bringing in ...

Testimonials

HRDAG is honored to work with a diverse set of partners. These organizations and the individuals that operate them are critical to our success, and our goal is to be critical to theirs. Here are a few quotes from our colleagues. "Over the last two years, Dr Patrick Ball has spoken several times to relevant AI staff on the use (and mis-use) of quantitative data in human rights work. Each time, people rave about it afterwards commenting on Patrick's inimical skills to convey the complexity of statistical science in an accessible, relevant and fun way. This year, we also organised small meetings with individual teams who have to crunch 'big data' ...

HRDAG Retreat 2022

A week in the California redwoods amongst a hodgepodge of people united by their passion for using quantitative analysis to combat injustice.

Analyzing patterns of violence in Colombia using more than 100 databases

The institution’s objectives were to learn the truth about what happened during the armed conflict.

Big Data and Death at UW-Madison

On November 7, 2014, the Department of Political Science, University of Wisconsin–Madison, and  the University of Wisconsin Law School, hosted a mini-conference with speakers Jennifer Alix-Garcia, Patrick Ball, Chad Hazlett, Volker Radeloff, and Philip Schrodt to speak about "Big Data and Death." The conference was organized by John Ahlquist and Jon Pevehouse. Big Data and Death Department of Political Science University of Wisconsin–Madison November 7, 2014 Madison, Wisconsin

Guatemala CIIDH Data

Welcome to the web data resource for the International Center for Human Rights Research (Centro Internacional para Investigaciones en Derechos Humanos, or CIIDH). Here you will find raw data on human rights violations in Guatemala during the period 1960-1996. You're welcome to use it for your own statistical analyses. ASCII delimited (csv) Resource Information Data Dictionary Value Labels File Structure (Variables) These files are between 300-700 kilobytes. The data are stored in a zipped compression format. For an explanation of how the data are structured and what the variables represent, see the data dictionary. If you use ...

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 ...

Projects

We work around the world Here’s more information about How We Choose Projects.    

Using Machine Learning to Help Human Rights Investigators Sift Massive Datasets

How we built a model to search hundreds of thousands of text messages from the perpetrators of a human rights crime.

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.

Donate