Megan Price
|
Executive Director
HRDAG (Human Rights Data Analysis Group) |
|
As the Executive Director of the Human Rights Data Analysis Group, Megan Price drives the organization’s overarching strategy, leads scientific projects, and presents HRDAG’s work to diverse audiences. Her scientific work includes analyzing documents from the National Police Archive in Guatemala and contributing analyses submitted as evidence in multiple court cases in Guatemala. Her work in Syria includes collaborating with the Office of the United Nations High Commissioner of Human Rights (OHCHR) and Amnesty International on several analyses of conflict-related deaths in that country. She has also contributed to analyses of “risk assessment” models used to make recommendations about pre-trial supervision in the United States.
|
Megan earned her doctorate in biostatistics and a Certificate in Human Rights from the Rollins School of Public Health at Emory University. She also holds a master of science degree and bachelor of science degree in Statistics from Case Western Reserve University.
You can find her on Twitter @StatMegan
You can find her on Twitter @StatMegan
Workshop: Data Processing and Statistical Models to Impute Missing Perpetrator Information
Prerequisite: Basics of binary classification, notion that not all ML algorithms handle missing data gracefully and imputation may be required before model fitting
The Human Rights Data Analysis Group (HRDAG) uses methods from statistics and computer science to help answer questions about mass violence using incomplete and unrepresentative datasets. This talk will present the context in which HRDAG works and how open-source tools are crucial to their analytical projects. A specific example of work imputing missing perpetrator information will then be presented to illustrate the transformation from spreadsheets of information about victims to predictions about probable perpetrators of violence. In the process, we’ll review how topic models, missing data imputation, and multi-label classification were used. Along the way, emphasis will be placed on the four core principles that guide HRDAG’s workflow to ensure that statistics about human rights violations are generated with as much rigor and scientific accuracy as possible
The Human Rights Data Analysis Group (HRDAG) uses methods from statistics and computer science to help answer questions about mass violence using incomplete and unrepresentative datasets. This talk will present the context in which HRDAG works and how open-source tools are crucial to their analytical projects. A specific example of work imputing missing perpetrator information will then be presented to illustrate the transformation from spreadsheets of information about victims to predictions about probable perpetrators of violence. In the process, we’ll review how topic models, missing data imputation, and multi-label classification were used. Along the way, emphasis will be placed on the four core principles that guide HRDAG’s workflow to ensure that statistics about human rights violations are generated with as much rigor and scientific accuracy as possible