The Role Of Data Science And Statistical Research In Policy Design: Opportunities, Examples, And Lessons From Human Trafficking Policy

Sarah Warner Speaker
Office On Trafficking In Persons, US Dept. of Health and Human Services
Tuesday, Aug 8: 11:50 AM - 12:15 PM
Invited Paper Session 
Metro Toronto Convention Centre 
Over the last few decades, policy making to address human trafficking has evolved to be based on more concrete evidence and information. The fields of data science and statistics research have expanded access, collection, and analysis of enormous pools of data. Policy makers, advocates, and administrators have the ability to plan and implement policy around specific needs and populations. Data scientists and statistical researchers can provide clarity and understanding of policy needs within a population or target area, assess whether data-driven results fit the legislative setting to be addressed and become the intersection between the data and policy-makers. Policy makers, government and non-profit administrators, law enforcement, social services and advocates all use information generated by data scientists and statisticians to make decisions every day. This presentation will elaborate on ways that data and research are used in policy formation and highlight examples of successful use of this data in administration and legislation, as well as failures in policy formation, and opportunities for further progress as a data scientist or statistical researcher.