Fighting Slavery through Statistics: A Discussion of Five Promising Methods to Estimate Prevalence in the United States

Click to increase image sizeClick to decrease image size

Notes

Note: This article builds upon Dr. Durgana's original post, published by DEVEX, and includes input from Dr. Zador after their joint technical discussion at the American Association for the Advancement of Science (AAAS) in March 2017.

Additional information

Notes on contributors

Davina P. Durgana

About the Authors

Davina P. Durgana, PhD is senior statistician and report co-author of the Global Slavery Index of the Walk Free Foundation. She was recently named the 2016 Statistical Advocate of the Year by the American Statistical Association and as a Forbes Top 30 Under 30 in Science in 2017 for her work on statistical modeling, human security theory, and human trafficking. She applies analytical models to understanding vulnerability, risk, and prevalence of human trafficking domestically and internationally.

Paul L. Zador

Paul L. Zador, PhD is a senior statistician at Westat, Inc., an Employee-Owned Research Organization. His research interests have covered a range of topics, including statistical communication theory, public health, transportation safety, policy evaluation, research design, and data analysis. In 2006, working with other statisticians, Zador developed a sampling plan and analyzed data that documented a multi-decade-long period of terror in Guatemala based on the recently discovered archive of the Guatemalan police. More recently, Zador helped design a survey of bonded laborers in Tamil Nadu, India, and analyzed the data that was collected.