679 results for search: %7B%EC%95%A0%EC%9D%B8%EB%A7%8C%EB%93%A4%EA%B8%B0%7D%20WWW%E2%80%B8TADA%E2%80%B8PW%20%20%EC%B2%9C%EA%B5%B0%EB%8F%99%EC%83%81%ED%99%A9%EA%B7%B9%20%EC%B2%9C%EA%B5%B0%EB%8F%99%EC%84%B1%EC%83%81%EB%8B%B4%D0%B2%EC%B2%9C%EA%B5%B0%EB%8F%99%EC%84%B1%EC%9D%B8%E2%86%95%EC%B2%9C%EA%B5%B0%EB%8F%99%EC%84%B1%EC%9D%B8%EC%89%BC%ED%84%B0%E3%88%A6%E3%81%B6%E6%A3%BCtranscend/feed/content/colombia/copyright


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.

Using MSE to Estimate Unobserved Events

At HRDAG, we worry about what we don't know. Specifically, we worry about how we can use statistical techniques to estimate homicides that are not observed by human rights groups. Based on what we've seen studying many conflicts over the last 25 years, what we don't know is often quite different from what we do know. The technique we use most often to estimate what we don't know is called "multiple systems estimation." In this medium-technical post, I explain how to organize data and use three R packages to estimate unobserved events. Click here for Computing Multiple Systems Estimation in R.

Lessons at HRDAG: Holding Public Institutions Accountable

Principled Data Processing is a way to prove to someone, usually yourself, that what you did was right.

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 ...

Frequently Asked Questions

Multiple Systems Estimation What is MSE?  What do you mean by statistical inference?  What is an overlap, and how do we know when lists overlap?   How does MSE find the total number of violations?  How was MSE originally developed?  How does the Benetech Human Rights Program use MSE?    1. What is MSE? A: Multiple Systems Estimation, or MSE, is a family of techniques for statistical inference. MSE uses the overlaps between several incomplete lists of human rights violations to determine the total number of violations. Return to Top 2. What do you mean by statistical inference? A: ...

Stephen Fienberg 1942-2016

We are saddened by the passing of Steve Fienberg yesterday in Pittsburgh, at the age of 74. He is perhaps best known around the world for bringing statistics to science and public policy and was a beloved professor at Carnegie Mellon University. At HRDAG we are in awe of and grateful for the work Steve did formalizing multiple systems estimation. His work on that front blazed a trail and essentially enabled all of our most important analytical work at the intersection of human rights and statistical science. If we are to reduce the amount of human violence in the world, the first task is to determine the scope of the violence, to know how much of ...

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.

The ‘Dirty War Index’ and the Real World of Armed Conflict.

Amelia Hoover, Romesh Silva, Tamy Guberek, and Daniel Guzmán. “The ‘Dirty War Index’ and the Real World of Armed Conflict.” May 23, 2009. © 2009 HRDAG. Creative Commons BY-NC-SA.


Unbiased algorithms can still be problematic

“Usually, the thing you’re trying to predict in a lot of these cases is something like rearrest,” Lum said. “So even if we are perfectly able to predict that, we’re still left with the problem that the human or systemic or institutional biases are generating biased arrests. And so, you still have to contextualize even your 100 percent accuracy with is the data really measuring what you think it’s measuring? Is the data itself generated by a fair process?”

HRDAG Director of Research Patrick Ball, in agreement with Lum, argued that it’s perhaps more practical to move it away from bias at the individual level and instead call it bias at the institutional or structural level. If a police department, for example, is convinced it needs to police one neighborhood more than another, it’s not as relevant if that officer is a racist individual, he said.


New Study Argues War Deaths Are Often Overestimated


United Nations Issues Report on Deaths in Syria


Justice Served in Guatemala: Testimonies from The National Security Archive & Benetech’s Human Rights Data Analysis Group


Amnesty International Reports Organized Murder Of Detainees In Syrian Prison

100x100nprReports of torture and disappearances in Syria are not new. But the Amnesty International report says the magnitude and severity of abuse has “increased drastically” since 2011. Citing the Human Rights Data Analysis Group, the report says “at least 17,723 people were killed in government custody between March 2011 and December 2015, an average of 300 deaths each month.”


Guilty Verdict and 40 year Maximum Sentence in Edgar Fernando Garcia Case


How many people have died in the Syrian civil war?


Guatemala: Access to Archives Sheds Light on Case of Forced Disappearance


Even if there’s a ceasefire, thousands of deaths projected in Gaza over next 6 months

In this NPR story, HRDAG’s Patrick Ball comments on first-of-its-kind projections.


PRIO Director Henrik Urdal’s 2022 Nobel Peace Prize Shortlist

Henrik Urdal has released his final Nobel Shortlist for 2022, and HRDAG is included on it, alongside Sviatlana Tsikhanouskaya and Alexei Navalny, and others. The list highlights pro-democracy efforts, multilateral cooperation, combating religious extremism and intolerance, and the value that research and knowledge can have for promoting peace.


Always Learning

The data science field is always changing, which means that I'll always be learning.

Welcoming Our 2019 Human Rights Intern

Trina Reynolds-Tyler is HRDAG's 2019 Human Rights Intern.

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