Improving Workplace Safety through Proactive Inspections

Description: Many Chilean workers face significant workplace safety issues. Dirección del Trabajo, Chile’s labour agency, is responsible for reducing the risks workers face through performing inspections and remediations. However, a lot of time has been spent inspecting facilities reactively based on complaints. We collaborated with the Dirección del Trabajo on a data-driven approach to focus limited resources on the facilities that need them most, employing data science tools and field trials. We used historical violation and safety records, as well as business, geographic, and macroeconomic data, to help improve their inspection targeting in order to build a system that will make their inspection program proactive and support detering future violators.

The Github repository can be found here. More details about the project can be found here.

Team: Ancil Crayton, Emma Remy, Sonia Mendizabal, Surabhi Trivedi, Mirian Lima (Project Manager), Joe Walsh (Technical Mentor)

Ancil Crayton
Senior Research Scientist

My research interests lie at the intersection of machine learning, economic analysis, and public policy.