685 results for search: %EC%88%98%ED%95%9C%EB%A9%B4%EC%9D%BC%ED%83%88%E3%80%94%EC%95%BC%ED%95%9C%EB%8C%80%ED%99%94%E2%9C%8E%E1%BA%88%E1%BA%88%E1%BA%88%E2%80%9AVAYO%E2%80%9AP%E1%BA%88%E3%80%95%20%EC%88%98%ED%95%9C%EB%A9%B4%EC%9D%BC%EB%B0%98%EC%9D%B8%20%EC%88%98%ED%95%9C%EB%A9%B4%EC%9D%B4%EC%84%B1%E2%97%91%EC%88%98%ED%95%9C%EB%A9%B4%EC%9C%A0%ED%9D%A5%F0%9F%A4%A6%F0%9F%8F%BD%E2%80%8D%E2%99%82%EF%B8%8F%EC%88%98%ED%95%9C%EB%A9%B4%EC%9C%A0%EB%B6%80%20%E6%81%B9%E3%BF%A2hedgebill%EC%88%98%ED%95%9C%EB%A9%B4%EC%9D%BC%ED%83%88/feed/content/colombia/copyright
Clustering and Solving the Right Problem
In our database deduplication work, we’re trying to figure out which records refer to the same person, and which other records refer to different people.
We write software that looks at tens of millions of pairs of records. We calculate a model that assigns each pair of records a probability that the pair of records refers to the same person. This step is called pairwise classification.
However, there may be more than just one pair of records that refer to the same person. Sometimes three, four, or more reports of the same death are recorded.
So once we have all the pairs classified, we need to decide which groups of records refer to the ...
Reflections: Growing and Learning in Guatemala
As a woman, mother and sociologist who is curious about the patterns of our political past in Guatemala, I feel privileged to know and work with the HRDAG team. Collaborating and learning from people like Patrick, Megan, Suzanne, Beatriz and Tamy has been an invaluable gift. I have discovered many things, both human and academic. For example, I’ve learned new ways of seeing what seemed everyday and simple, to discover that not only do the social sciences and statistics work hand in hand, but that they are critical for understanding Guatemala’s reality.
Twenty years ago, on 29 December, 1996, Guatemala made history by signing the Guatemala Peace ...
Locating Hidden Graves in Mexico
For more than 10 years, and with regularity, Mexican authorities have been discovering mass graves, known as fosas clandestinas, in which hundreds of bodies and piles of bones have been found. The casualties are attributed broadly to the country’s “drug war,” although the motivations and perpetrators behind the mass murders are often unknown.
Recently, HRDAG collaborated with two partners in Mexico—Data Cívica and Programa de Derechos Humanos of the Universidad Iberoamericana—to model the probability of identifying a hidden grave in each county (municipio). The model uses an set of independent variables and data about graves from 2013 ...
Reflections: Some Stories Shape You
The first time I met anyone at HRDAG, I was a journalist. It was 2006. I was working on a story about a graduate student at Carnegie Mellon who’d collaborated with the organization on a survey in Sierra Leone, and I contacted Patrick Ball to discuss the work. At the time, I found him challenging.
But I thought his work—trying to estimate how many people were killed, or, in that study, otherwise injured, during wars—was fascinating. Over the next few years, I got to know other researchers working on similar questions. In 2008, as the war in Iraq ramped up, I spoke with epidemiologists from Johns Hopkins University, the World Health Organiz...
Kristian Lum in Bloomberg
The interview poses questions about Lum's focus on artificial intelligence and its impact on predictive policing and sentencing programs.
Where Stats and Rights Thrive Together
Everyone I had the pleasure of interacting with enriched my summer in some way.
HRDAG Names New Board Member Margot Gerritsen
Margot is a professor in the Department of Energy Resources Engineering at Stanford University, interested in computer simulation and mathematical analysis of engineering processes.
HRDAG Names New Board Members Julie Broome and Frank Schulenburg
We are pleased to announce that HRDAG will be supported by two additions to our Advisory Board, Julie Broome and Frank Schulenburg.
We’ve worked with Julie for many years, getting to know her when she was Director of Programmes at The Sigrid Rausing Trust. She is now the Director of London-based Ariadne, a network of European funders and philanthropists. She worked at the Trust for seven years, most notably Head of Human Rights, before becoming Director of Programmes in 2014. Before joining the Trust she was Programme Director at the CEELI Institute in Prague, where she was responsible for conducting rule of law-related trainings for judges and ...
The Statistics of Genocide
Patrick Ball and Megan Price (2018). The Statistics of Genocide. Chance (special issue). February 2018. © 2018 CHANCE.
Working Where Statistics and Human Rights Meet
Robin Mejia and Megan Price (2018). Working Where Statistics and Human Rights Meet. Chance (special issue). February 2018. © 2018 CHANCE.
On or off the record? Detecting patterns of silence about death in Guatemala’s National Police Archive
Tamy Guberek and Margaret Hedstrom (2017). On or off the record? Detecting patterns of silence about death in Guatemala’s National Police Archive. Archival Science. 9 February 2017. © Springer. DOI 10.1007/s10502-017-9274-3.
Tamy Guberek and Margaret Hedstrom (2017). On or off the record? Detecting patterns of silence about death in Guatemala’s National Police Archive. Archival Science. 9 February 2017. © Springer. DOI 10.1007/s10502-017-9274-3.
How a Data Tool Tracks Police Misconduct and Wandering Officers
Some police officers avoid accountability by “wandering” to another agency. HRDAG and partners created a data tool that tracks officers’ employment history.
The World According to Artificial Intelligence (Part 2)
The World According to Artificial Intelligence – The Bias in the Machine (Part 2)
Artificial intelligence might be a technological revolution unlike any other, transforming our homes, our work, our lives; but for many – the poor, minority groups, the people deemed to be expendable – their picture remains the same.
Patrick Ball is interviewed: “The question should be, Who bears the cost when a system is wrong?”
The Limits of Observation for Understanding Mass Violence.
Megan Price and Patrick Ball. 2015. Canadian Journal of Law and Society / Revue Canadienne Droit et Société volume 30 issue 2 (June): 1-21. doi:10.1017/cls.2015.24. © Cambridge University Press. All rights reserved. Restricted access.
Trove to IPFS
IPFS is a peer-to-peer storage network that promotes the resiliency, immutability, and auditability of data. This README explains code written to shepherd the files from janky external USB drives to IPFS.
Donate with Cryptocurrency
Help HRDAG use data science to work for justice, accountability, and human rights. We are nonpartisan and nonprofit, but we are not neutral; we are always on the side of human rights.
Cryptocurrency donations to 501(c)3 charities receive the same tax treatment as stocks. Your donation is a non-taxable event, meaning you do not owe capital gains tax on the appreciated amount and can deduct it on your taxes. This makes Bitcoin and other cryptocurrency donations one of the most tax efficient ways to support us.
We are a team of experts in machine learning, applied and mathematical statistics, computer science, demography, and social science, and ...
Tech Note – improving LLM-driven info extraction
A follow-up chapter exploring recent advancements in LLM technology and extraction strategies.
The Bigness of Big Data: samples, models, and the facts we might find when looking at data
Patrick Ball. 2015. The Bigness of Big Data: samples, models, and the facts we might find when looking at data. In The Transformation of Human Rights Fact-Finding, ed. Philip Alston and Sarah Knuckey. New York: Oxford University Press. ISBN: 9780190239497. © The Oxford University Press. All rights reserved.
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 ...