324 results for search: B mcmtoto【www.rtЗЗ.top】코드 B77】Walkerhill Hotel CasinoƖequipo nacional de corea del norte🌭sorteo de barbadosਤAnálisis de las Islas Vírgenes BritánicasんCuotas de las Islas Vírgenes de EE. UU.ⅽgraftositaƩcorazón de madre␜información de apuesta móvil━.bwg


Our Story

Dec 10, 1991 HRDAG is born when Patrick Ball begins database design at the Human Rights Office of the Salvadoran Lutheran Church. The work soon moves to the non-governmental Human Rights Commission (CDHES). The database analysis identified the 100 worst officers in the Salvadoran military — who were forced to resign as part of the peace process. 1994 Patrick publishes A Definit...

Reality and Risk in Our Mortality Study of the Peruvian TRC

HRDAG researchers and analysts at Peru's Truth and Reconciliation Commission (TRC) estimated conflict mortality due to violence using Capture-Recapture methods.

Scraping for Pattern: Protecting Immigrant Rights in Washington State

With HRDAG's help, the University of Washington Center for Human Rights team has been able to analyze the scraped text and search for key words such as “jail” in order to gain insight into where immigration arrests are being made.

Data Archaeology for Human Rights in Central America: HRDAG Collaborates with UWCHR

Patrick Ball is kicking himself for a decision he made almost 25 years ago. “I was clever, but I wasn’t smart,” he says ruefully, as he considers the labyrinth of tables and ASCII-encoded keystrings he used to design a database of human rights violations for the pioneering Salvadoran non-governmental Human Rights Commission (CDHES). Now I’m sitting in his office in San Francisco’s Mission District watching over his shoulder, and trying to keep up, as he bangs out code to decipher the priceless data contained in these old files. Created in 1991 and 1992, during the last days of El Salvador’s internal armed conflict, the files detail ...

Patrick Ball Honored as New ASA Fellow

We’re very happy to announce that our executive director, Patrick Ball, has been elected as a Fellow of the American Statistical Association (ASA), as announced by ASA President Nathaniel Schenker. Patrick is one of 63 new ASA Fellows to be honored this year in a ceremony at the Joint Statistical Meetings, which will take place this August 5 in Boston, Massachusetts. (more…)

Cifra de líderes sociales asesinados es más alta: Dejusticia

Contrario a lo que se puede pensar, los datos oficiales sobre líderes sociales asesinados no necesariamente corresponden a la realidad y podría haber mucha mayor victimización en las regiones golpeadas por este flagelo, según el más reciente informe del Centro de Estudios de Justicia, Derecho y Sociedad (Dejusticia) en colaboración con el Human Rights Data Analysis Group.


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 ...

Tech Corner

The HRDAG Tech Corner is where we collect the deeper and geekier content that we create for the website. Click the accordion blocks below to reveal each of the Tech Corner entries. Sifting Massive Datasets with Machine Learning Principled Data Processing  

Machine learning is being used to uncover the mass graves of Mexico’s missing

“Patrick Ball, HRDAG’s Director of Research and the statistician behind the code, explained that the Random Forest classifier was able to predict with 100% accuracy which counties that would go on to have mass graves found in them in 2014 by using the model against data from 2013. The model also predicted the counties that did not have mass hidden graves found in them, but that show a high likelihood of the possibility. This prediction aspect of the model is the part that holds the most potential for future research.”


How Review of Police Data Verified Neglect of Missing Black Women

Sloppy recordkeeping by Chicago police has compromised missing persons cases. HRDAG is working with Pulitzer Prize-winning Invisible Institute to find justice for the missing.

Estimating the Number of SARS-CoV-2 Infections and the Impact of Mitigation Policies

This Harvard Data Science Review article uses the least unreliable source of pandemic data: reported deaths.

Why Collecting Data In Conflict Zones Is Invaluable—And Nearly Impossible

HRDAG's work in Kosovo and in the Guatemalan trial of General José Efraín Ríos Montt is discussed in this article. Megan Price, HRDAG's director of research, is quoted. “There is a wide variety of things that could be considered data,” she says. From the story: Price’s main data analysis tool requires fitting a model to the data that ends up in her lap. That way, she can see whether there are gaps in the data and what more needs to be included. The method, called multiple systems estimation analysis, lets Price look at patterns across lists of data, for example, lists of victims. The resulting model reveals how much data is missing, to a ...

Reflections: A Simple Plan

I got an email from my superheroic PhD adviser in June 2006: Would I be interested in relocating to Palo Alto for six months in order to work with Patrick Ball at the Human Rights Data Analysis Group? (She'd gotten a grant and would cover my stipend.) Since I'd spent the last several months in New Haven wrestling ineffectually with giant, brain-melting methodological problems, I said yes immediately. The plan with my adviser was simple: I'd digitize the ancient, multiply-photocopied pages of data from the United Nations Truth Commission for El Salvador, combine them with two other datasets, match across all the records, and produce reliable ...

Reflections: Richard Savage’s Vision Fulfilled

In 1984, as a fresh PhD, I heard Richard Savage give his presidential address at the Joint Statistical Meetings in Philadelphia. He called it "Hard/Soft Problems" and made a big pitch for statisticians to get involved in human rights data analysis. It was inspirational, and I was immediately sold. I started working with the American Statistical Association's Committee on Scientific Freedom and Human Rights (now chaired by HRDAG's own Megan Price). Over time, a growing set of statisticians became involved, initially in letter-writing campaigns to help dissident statisticians (and other quantitative academics—economists seemed to have a particular ...

Revisiting the analysis of event size bias in the Iraq Body Count

(This post is co-authored by Patrick Ball and Megan Price) In a recent article in the SAIS Review of International Affairs, we wrote about "event size bias," the problem that events of different sizes have different probabilities of being reported. In this case, the size of an event is defined by the number of reported victims. Our concern is that not all violent (in this case homicide) events are recorded, that is, some events will have zero sources. Our theory is that events with fewer victims will receive less coverage than events with more victims, and that a higher proportion of small events will have zero sources relative to large events. The ...

Welcome!

As of today, the Human Rights Data Analysis Group (HRDAG) is an independent* non-profit! It's been a long time coming, and we're delighted to have gotten to this point. HRDAG is a non-profit, non-partisan organization that applies rigorous science to the analysis of human rights violations around the world; for more information, see our About Us page. Benetech has spun out the scientific and statistical part of the Human Rights Program to HRDAG. The spinout includes (as staff) me -- Patrick Ball -- and Dr Megan Price, as well as our many part-time scientific and field consultants (a list is here). The software and technology component of our work -- ...

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 ...

The AHPN: Home of Stories Old and New

Access to the records contained in archives is a concern shared by many. Archives support memory and free access to them strengthens democratic processes. Everyone should be allowed to see first-hand the records contained in an archive and be free to interpret them as needed. Access to archives can increase knowledge on various topics and opens opportunities for different fields of knowledge. (more…)

Herb Spirer, 1925 – 2018

Herb led and mentored a generation of statisticians working in human rights.

Data and Social Good: Using Data Science to Improve Lives, Fight Injustice, and Support Democracy

100x100-oreillymedia-logoIn this free, downloadable report, Mike Barlow of O’Reilly Media cites several examples of how data and the work of data scientists have made a measurable impact on organizations such as DataKind, a group that connects socially minded data scientists with organizations working to address critical humanitarian issues. HRDAG—and executive director Megan Price—is one of the first organizations whose work is mentioned.


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