From the article: “Price described the touchstone of her organization as being a tension between how truth is simultaneously discovered and obscured. HRDAG is at the intersection of this tension; they are consistently participating in science’s progressive uncovering of what is true, but they are accustomed to working in spaces where this truth is denied. Of the many responsibilities HRDAG holds in its work is that of “speaking truth to power,” said Price, “and if that’s what you’re doing, you have to know that your truth stands up to adversarial environments.”
Megan Price, director of research, is quoted in this story about the R programming language. “Serious data analysis is not something you’re going to do using a mouse and drop-down boxes,” said HRDAG’s director of research Megan Price. “It’s the kind of thing you’re going to do getting close to the data, getting close to the code and writing some of it yourself.”
“In a recent article, social scientist Patrick Ball revisited his and Kristian Lum’s 2015 study, which made a compelling argument for the underreporting of lethal police shootings by the Bureau of Justice Statistics (BJS). Lum and Ball’s study may be old, but it bears revisiting amid debates over the American police system — debates that have featured plenty of data on the excessive use of police force. It is a useful reminder that many of the facts and figures we rely on require further verification.”
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 ...
As an organization that uses science to advocate for human rights, the goals and issues represented by Ada Lovelace Day are very near and dear to our hearts. Additionally, we are lucky to work with and be advised by some pretty kick-ass ladies in STEM (see our People page to learn more about these amazing women (and men)).
I brainstormed a list of women I could write about, as Finding Ada suggests we celebrate today by blogging about a STEM heroine. I considered Anita Borg (she has her own institute!), who advocated tirelessly for women in computer science. I thought about Sally Wyatt, keynote speaker and organizer of the fascinating workshop...
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 ...
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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
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Using large language models for structured information extraction from the Innocence Project New Orleans' wrongful conviction case files.
Exoneration documents, secured during legal proceedings that aim to right the wrongs of justice, are invaluable for understanding wrongful convictions. They cast a spotlight on law enforcement actions, revealing systemic challenges. Yet, finding and leveraging usable information within these collections remains a formidable task for researchers and advocates, due to their volume and unstructured heterogeneity.
This post introduces the methodology of the Innocence Discovery Lab, a collaboration between Innoce...
<iframe src="https://www.youtube.com/embed/MfThopD7L1Y?list=PL8mc5VYrQH_Nx9jSWF2rYEgQhHyVobk6s" width="560" height="315" frameborder="0" allowfullscreen="allowfullscreen"></iframe>Kristian Lum, lead statistician at HRDAG | <em>Predictive Policing: Bias In, Bias Out</em> | 56 mins
Alanna Flores joins HRDAG for the summer as a Data Science Fellow.
HRDAG's work in Kosovo and in the Guatemalan trial of General José Efraín Ríos Montt is discussed in this article. Megan Price, HRDAG's director of research, is quoted. “There is a wide variety of things that could be considered data,” she says.
From the story:
Price’s main data analysis tool requires fitting a model to the data that ends up in her lap. That way, she can see whether there are gaps in the data and what more needs to be included. The method, called multiple systems estimation analysis, lets Price look at patterns across lists of data, for example, lists of victims. The resulting model reveals how much data is missing, to a ...
Audrey Chapman and Patrick Ball. “The Truth of Truth Commissions: Comparative Lessons from Haiti, South Africa, and Guatemala.” Human Rights Quarterly. 23(4):1-42. 2001
