656 results for search: %EC%98%A8%EB%9D%BC%EC%9D%B8%EA%B4%91%EA%B3%A0%E2%96%A1%E0%B4%A0%E2%9D%B6%E0%B4%A0%E3%85%A1%E2%9D%BD%E2%9D%BD%E2%9D%BC%E2%9D%BB%E3%85%A1%E2%9D%BD%E2%9D%BC%E2%9D%BC%E2%9D%BD%E2%96%A1%ED%8F%89%EA%B0%95%EC%97%AD%ED%99%88%ED%83%80%EC%9D%B4%E3%83%9D%EC%98%A8%EB%9D%BC%EC%9D%B8%E2%94%92%EA%B4%91%EA%B3%A0%E2%84%A2%ED%8F%89%EA%B0%95%EC%97%AD%E5%BD%99%ED%99%88%ED%83%80%EC%9D%B4%E9%92%95hackneyed
Documenting Syrian Deaths with Data Science
Coverage of Megan Price at the Women in Data Science Conference held at Stanford University. “Price discussed her organization’s behind-the-scenes work to collect and analyze data on the ground for human rights advocacy organizations. HRDAG partners with a wide variety of human rights organizations, including local grassroots non-governmental groups and—most notably—multiple branches of the United Nations.”
What happens when you look at crime by the numbers
Kristian Lum’s work on the HRDAG Policing Project is referred to here: “In fact, Lum argues, it’s not clear how well this model worked at depicting the situation in Oakland. Those data on drug crimes were biased, she now reports. The problem was not deliberate, she says. Rather, data collectors just missed some criminals and crime sites. So data on them never made it into her model.”
5 Questions for Kristian Lum
Kristian Lum discusses the challenges of getting accurate data from conflict zones, as well as her concerns about predictive policing if law enforcement gets it wrong.
The ghost in the machine
“Every kind of classification system – human or machine – has several kinds of errors it might make,” [Patrick Ball] says. “To frame that in a machine learning context, what kind of error do we want the machine to make?” HRDAG’s work on predictive policing shows that “predictive policing” finds patterns in police records, not patterns in occurrence of crime.
Crean sistema para predecir fosas clandestinas en México
Por ello, Human Rights Data Analysis Group (HRDAG), el Programa de Derechos Humanos de la Universidad Iberoamericana (UIA) y Data Cívica, realizan un análisis estadístico construido a partir de una variable en la que se identifican fosas clandestinas a partir de búsquedas automatizadas en medios locales y nacionales, y usando datos geográficos y sociodemográficos.
Claudia Carolina López Taks
Field Consultant
Carolina Lopéz has worked with the Archivo Histórico de la Policía Nacional (AHPN) in Guatemala for eight years, and is currently a member of the Archive Technical Coordination team. A professional working within the social sciences, she prefers using alternative research on past practices to develop an understanding of the present. Her work consists primarily of monitoring and creating strategies to systematize, track and create process controls. She also has thorough knowledge of management of historical archive documents.
Since 2006, Carolina has worked in quantitative research at the AHPN with HRDAG team members Patrick ...
Evaluation of the Kosovo Memory Book at Pristina
On February 4, 2015, at the National Archive in Pristina, Kosovo, HRDAG executive director Patrick Ball gave a presentation on research (done with colleague Jule Krüger) about the database of the Kosovo Memory Book (KMB). The KMB is part of the Humanitarian Law Centre in Belgrade and Pristina). In this photo, Patrick is speaking, and HLC-Belgrade executive director emeritus Natasa Kandic and Professor Michael Spagat are at the table with him. At the laptop between Spagat and Patrick is Laza Lazarevic of HLC; he is part of the KMB team.
About 130 people attended—a terrific response.
Presentation on the research behind the Evaluation of the ...
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
Syria 2012 – Modeling Multiple Datasets in an Ongoing Conflict
The struggle between Syrian President Bashar al-Assad's regime and opposition forces has generated extensive global press coverage, but few accurate estimates of casualties. In January 2013, the United Nations Office of the High Commissioner for Human Rights (OHCHR) released a report on the number of conflict-related killings in Syria. The UN report is based on statistical analysis conducted by HRDAG scientists Megan Price, Jeff Klingner and Patrick Ball. This chapter examines HRDAG’s findings which compared information from a database collected by the Syrian government with six databases compiled by Syrian human rights activists and citizen ...
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 ...
Liberia 2009 – Coding Testimony to Determine Accountability for War Crimes
In July 2009, HRDAG concluded a three-year project with the Liberian Truth and Reconciliation Commission (TRC) to help clarify Liberia’s violent history and hold perpetrators accountable. A military coup in 1979 sparked 24 years of civil war in Liberia where warring factions subjected civilians to severe human rights abuses. The TRC sought to determine whether these violations represented a systematic pattern or policy. This chapter describes how HRDAG developed a statistical analysis of the more than 17,000 victim and witness statements collected by the TRC and applied Ball’s “Who Did What To Whom?” methodology. HRDAG scientist Kristen ...
Tech Corner
The HRDAG Tech Corner is where we collect the deeper and geekier content that we create for the website. You can browse by Category or scroll to view find all articles listed.
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 ...
Coming soon: HRDAG 2019 Year-End Review
The online version of the 2019 Year-End Review will appear in January 2020.
Data Mining for Good: CJA Drink + Think
At the Center for Justice and Accountability's happy hour, "Drink and Think," Patrick Ball spoke about "Data Mining for Good." The talk included a discussion of how HRDAG brings human rights abusers to justice through data analysis, and HRDAG's work conducting quantitative analysis for truth commissions, NGOs, the UN and other partners. The event was held at Eventbrite. More photos are below.
The Center for Justice and Accountability
Young Professionals' Committee for Human Rights
September 16, 2014
San Francisco, California
Link to CJA event page
Back to Talks
All photos © 2014 Carter Brooks.
Core Concepts
Inaccurate statistics can damage the credibility of human rights claims—and that's why we strive to ensure that statistics about human rights violations are generated with as much rigor and are as scientifically accurate as possible.
But, what are the pitfalls leading to inaccuracy—when, where, and how do data become compromised? How are patterns biased by having only partial data? And what are the best scientific methods for collecting, managing, processing and analyzing data?
Here are the data pitfalls that HRDAG has identified, as well as some of our approaches for meeting these challenges. We believe that human rights researchers must take ...
Social Science Scholars Award for HRDAG Book
In March 2013, I entered a contest called the California Series in Public Anthropology International Competition, which solicits book proposals from social science scholars who write about how social scientists create meaningful change. The winners of the Series are awarded a publishing contract with the University of California Press for a book targeted to undergraduates. With the encouragement of my HRDAG colleagues Patrick Ball and Megan Price, I proposed a book about the work of HRDAG researchers entitled, Everybody Counts: How Scientists Document the Unknown Victims of Political Violence. Earlier this month, I was contacted by the Series judges ...