662 results for search: %E3%80%94%EB%82%A8%EB%85%80%ED%8F%B0%ED%8C%85%E3%80%95%20www%E0%BC%9Dnoda%E0%BC%9Dpw%20%20%EC%88%98%EC%95%88%EC%97%AD%EC%97%B0%ED%95%98%20%EC%88%98%EC%95%88%EC%97%AD%EC%9C%A0%EB%B6%80%E2%80%BB%EC%88%98%EC%95%88%EC%97%AD%EC%9D%BC%EB%B0%98%EC%9D%B8%D1%86%EC%88%98%EC%95%88%EC%97%AD%EC%9E%A0%EC%9E%90%EB%A6%AC%E2%93%8F%E3%83%B0%E3%BD%82porcelain
Weighting for the Guatemalan National Police Archive Sample: Unusual Challenges and Problems.”
Gary M. Shapiro, Daniel R. Guzmán, Paul Zador, Tamy Guberek, Megan E. Price, Kristian Lum (2009).“Weighting for the Guatemalan National Police Archive Sample: Unusual Challenges and Problems.”In JSM Proceedings, Survey Research Methods Section. Alexandria, VA: American Statistical Association.
The Profile of Human Rights Violations in Timor-Leste, 1974-1999
Romesh Silva and Patrick Ball. “The Profile of Human Rights Violations in Timor-Leste, 1974-1999″, a Report by the Benetech Human Rights Data Analysis Group to the Commission on Reception, Truth and Reconciliation. 9 February 2006.
State Violence in Guatemala, 1960-1996: A Quantitative Reflection
Patrick Ball, Paul Kobrak, Herbert F. Spirer. State Violence in Guatemala, 1960-1996: A Quantitative Reflection. © 1999 American Association for the Advancement of Science. [pdf – english] [pdf – español]
Africa
Chad
Liberia
Sierra Leone
South Africa
Data coding and inter-rater reliability (IRR)
Data coding is the process of converting unstructured information, such as a narrative testimony, into discrete facts such as names and roles of actors (victims, witnesses, perpetrators) in crimes, as well as the date and place of act. Data coding must not discard or distort information. When more than one person is identifying, classifying and counting the elements reported in a qualitative source, the results of what they find may differ slightly based on each individual's interpretation and care in doing the coding. These differences can be measured by measuring IRR (inter-rater reliability). We give the same source document to several coders and ...
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' ...
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 ...
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 ...
Trips to and from Guatemala
HRDAG has been working with the Historic Archive of the National Police in Guatemala (hereafter, the Archive) for the past seven years. The Archive contains a treasure trove of data recorded and kept by the Guatemalan National Police over the past century. When the Archive was first discovered in 2005, researchers there immediately recognized both the value and fragility of the tens of millions of documents. As a result, they reached out to HRDAG, and we reached out to volunteers at Westat to devise a plan to estimate the contents of the entire Archive as quickly as possible in case the documents were destroyed or access to them was limited. ...
Insights Sessions
You are invited to
Illuminating the dark through data science:
Stories from the Human Rights Data Analysis Group
Thursday, 3 June 2021, 12–1pm PDT
A conversation with HRDAG advisory board member Margot Gerritsen, executive director Megan Price, statistician Maria Gargiulo, and field consultant Anita Gohdes.
The Human Rights Data Analysis Group uses data to help the world understand human stories. In this intimate, virtual conversation, executive director Megan Price and other inspiring HRDAG data scientists will share stories about how their data analysis has powered truth commissions and grassroots justice organizations, and held human rights ...
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
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
.hrdag-algo-button {
margin-bottom: 25px;
a {
border-radius: 18px;
background-color: #4f81ed;
padding: 8px 35px;
text-decoration: none;
color: white;
border: 1px solid transparent;
}
a:hover {
color: #4f81ed;
border: 1px solid #4f81ed;
background-color: transparent;
}
}
USA
intro text: HRDAG’s analysis and expertise continues to deepen the national conversation... Each theme can be noted and linked to in this paragraph, as well as shown below. Number of words total TBD.
Exposing algorithmic discrimination
See all from algorithmic discrimination
Using machine learning ...
Colombia
Text in English
Para evaluar afirmaciones sobre la reducción de la violencia letal en Colombia
En marzo de 2007, el Grupo de Análisis de Datos de Derechos Humanos (HRDAG por sus siglas en inglés) publicó un estudio con el título de "Para Evaluar Afirmaciones Sobre la Reducción de la Violencia Letal en Colombia." Los autores de dicho estudio evaluaron aseveraciones que la violencia en Colombia disminuyó tras la desmovilización de los paramilitares. Demostraron que tales afirmaciones se basan tanto en una sobreinterpretación de datos no ajustados como en inferencias causales infundadas. Los autores concluyeron que se requieren múltip...
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 ...
Asia
Bangladesh
India
Sri Lanka
Timor-Leste
Protected: poli
This content is password protected. To view it please enter your password below:
Password:
Videos
Here is a collection of videos that profile projects or features us at speaking engagements. Please get in touch with us if you have any HRDAG video or photography.