682 results for search: o %EA%B0%81%EC%A2%85%EB%94%94%EB%B9%84%E2%85%B8%E2%80%98%ED%85%94%EB%A0%88sEiN07%EF%BC%BD%D0%AB%EA%B0%81%EC%A2%85%EB%94%94%EB%B9%84%ED%8C%9D%EB%8B%88%EB%8B%A4%20%EA%B0%81%EC%A2%85DB%EA%B5%AC%EB%A7%A4%20%EA%B0%81%EC%A2%85%EB%94%94%EB%B9%84%ED%8C%9D%EB%8B%88%EB%8B%A4%E3%81%88%EA%B0%81%EC%A2%85%EB%94%94%EB%B9%84%ED%8C%90%EB%A7%A4%ED%95%A9%EB%8B%88%EB%8B%A4/feed/content/colombia/copyright
The Demography of Conflict-Related Mortality in Timor-Leste (1974-1999): Empirical Quantitative Measurement of Civilian Killings, Disappearances & Famine-Related Deaths
Romesh Silva and Patrick Ball. “The Demography of Conflict-Related Mortality in Timor-Leste (1974-1999): Empirical Quantitative Measurement of Civilian Killings, Disappearances & Famine-Related Deaths” In Statistical Methods for Human Rights, J. Asher, D. Banks and F. Scheuren, eds., Springer (New York) (2007)
Criminality registration and measurement
Patrick Ball and Michael Reed Hurtado. 2016. El registro y la medición de la criminalidad. El problema de los datos faltantes y el uso de la ciencia para producir estimaciones en relación con el homicidio en Colombia, demostrado a partir de un ejemplo: el departamento de Antioquia (2003-2011). Revista Criminalidad, 58 (1): 9-23.
Patrick Ball and Michael Reed Hurtado. 2016. El registro y la medición de la criminalidad. El problema de los datos faltantes y el uso de la ciencia para producir estimaciones en relación con el homicidio en Colombia, demostrado a partir de un ejemplo: el departamento de Antioquia (2003-2011). Revista Criminalidad, 58 (1): 9-23. Criminality registration and measurement. The problem of missing data, and the use of science to produce estimations relating to homicide in Colombia, as demonstrated with an example from one of its administrative and political divisions: the Department of Antioquia (2003-2011).
The Art and Science of Coding AHPN Documents
The coding, from my perspective, is the heart of the project. I say this, because the coding team has the responsibility of selecting documents according to the random sample, recording the documents’ contents, and applying the criteria to convert that content into an entry in a quantitative database. Not to mention the fact that this team has the privilege of being in direct contact with the documents.
At present, because of advanced organizational processes, not everyone has a chance to hold an original document in their hands. The quantitative study had many advantages in this regard; since we started work in parallel with the archival ...
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 ...
Training with HRDAG: Rules for Organizing Data and More
I had the pleasure of working with Patrick Ball at the HRDAG office in San Francisco for a week during summer 2016. I knew Patrick from two workshops he previously hosted at the University of Washington’s Centre for Human Rights (UWCHR). The workshops were indispensable to us at UWCHR as we worked to publish a number of datasets on human rights violations during the El Salvador Civil War. The training was all the more helpful because the HRDAG team was so familiar with the data. As part of an impressive career which took him from Ethiopia and Kosovo to Haiti and El Salvador among others, Patrick himself had worked on gathering and analysing ...
Learning to Learn: Reflections on My Time at HRDAG
So much of what I learned at HRDAG was intangible, and I'm grateful to have been able to go deep.
Multiple Systems Estimation: The Matching Process
<<Previous post: Collection, Cleaning, and Canonicalization of Data
Q8. What do you mean by "overlap," and why are overlaps important?
Q9. [In depth] Why is automated matching so important, and what process do you use to match records?
Q8. What do you mean by "overlap," and why are overlaps important?
MSE estimates the total number of violations by comparing the size of the overlap(s) between lists of human rights violations to the sizes of the lists themselves. By "overlap," we mean the set of incidents, such as deaths, that appear on more than one list of human rights violations. Accurately and efficiently identifying overlaps between ...
Predictive Policing Reinforces Police Bias
Issues surrounding policing in the United States are at the forefront of our national attention. Among these is the use of “predictive policing,” which is the application of statistical or machine learning models to police data, with the goal of predicting where or by whom crime will be committed in the future. Today Significance magazine published an article on this topic that I co-authored with William Isaac. Significance has kindly made this article open access (free!) for all of October. In the article we demonstrate the mechanism by which the use of predictive policing software may amplify the biases that already pervade our criminal ...
Lies, Damned Lies, and “Official” Statistics
Megan Price and Maria Gargiulo (2021). Lies, Damned Lies, and "Official" Statistics. Health and Human Rights Journal. 24 June, 2021. © Health and Human Rights Journal.
Megan Price and Maria Gargiulo (2021). Lies, Damned Lies, and “Official” Statistics. Health and Human Rights Journal. 24 June, 2021. © Health and Human Rights Journal.
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.
Measuring Elusive Populations with Bayesian Model Averaging for Multiple Systems Estimation: A Case Study on Lethal Violations in Casanare, 1998-2007
Kristian Lum, Megan Price, Tamy Guberek, and Patrick Ball. “Measuring Elusive Populations with Bayesian Model Averaging for Multiple Systems Estimation: A Case Study on Lethal Violations in Casanare, 1998-2007,” Statistics, Politics, and Policy. 1(1) 2010. All rights reserved.
Colombia Report
Benetech Human Rights Program and Corporación Punto de Vista Issues Report on
Sexual Violence in Colombia
Researchers Find that Data About Sexual Violence is Difficult To Collect and Subject to Misinterpretation
May 2, 2011, Palo Alto, CA — The Benetech Human Rights Program has issued a report with the Colombian NGO Corporación Punto de Vista which examines how quantitative data can be used to assess conflict related sexual violence in Colombia. Written by Francoise Roth, Tamy Guberek and Amelia Hoover Green, Using Quantitative Data to Assess Conflict-Related Sexual Violence in Colombia: Challenges and Opportunities notes that sexual violations ...
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 ...
Reflections: The People Who Make the Data
HRDAG associate Miguel Cruz has an epiphany. All those data he’s drowning in? Each datapoint is a personal tragedy, a story both dark and urgent, and he’s privileged to have access.
HRDAG at Strata Conference 2014
Last Thursday, HRDAG co-founder and director of research Megan Price presented at Strata, the conference for data scientists and people who work with "big data." In her talk, she addressed the question of how we can know the actual number of conflict casualties in Syrian. Her short answer was, "We don't know." The longer answer was that we have a very good idea of how many conflict casualties have been reported, by several documentation groups, and that we're working on analyzing (more…)
Accountability at home and abroad
Dear friends,
Our spirits were really on the ground on Wednesday, but they lifted at the board meeting we had at the Human Rights Data Analysis Group on Thursday. Executive Director Megan Price, Director of Research Patrick Ball, and the Board drafted these thoughts which we'd like to share with you.
For more than twenty-five years, we have held heads of state accountable for human rights violations. We support our partners and advocates in the human rights field. They collect data which we analyze using technical and scientific expertise. Those scientific results bring clarity to human rights violence and support the fight for justice.
...
Violent Deaths and Enforced Disappearances During the Counterinsurgency in Punjab, India: A Preliminary Quantitative Analysis
Romesh Silva, Jasmine Marwaha and Jeff Klingner. “Violent Deaths and Enforced Disappearances During the Counterinsurgency in Punjab, India: A Preliminary Quantitative Analysis,” A Joint Report by Benetech’s Human Rights Data Analysis Group & Ensaaf, Inc. January, 2009.
Welcoming Our 2019 Visiting Analyst
Valentina Rozo Ángel has joined our team as our new visiting analyst this fall.
Reflections on Data Science for Real-World Problems
Trina Reynolds-Tyler's internship at HRDAG helped her use data science to find patterns in state-sanctioned violence.