Data Science and Human Services Lab

In 2017, MetroLab launched its Data Science and Human Services Lab, as an effort to bring together academics, city and county practitioners, and non-profit leaders to consider the issues at the intersection of technology, analytics solutions, and human services deployment.

Report- First, Do No Harm: Ethical Guidelines for Applying Predictive Tools Within Human Services

 

Supported by the Annie E. Casey Foundation, the “First, Do No Harm: Ethical Guidelines for Applying Predictive Tools Within Human Services” report addresses the use of predictive risk modeling in human services, an emergent practice that aims leverage technology and analytics to supplement human service providers in their work. The report is meant to serve as a guide for practitioners, a resource for local government leaders, and a conversation-starter for advocates and stakeholders.

 

Link: Ethical-Guidelines-for-Applying-Predictive-Tools-within-Human-Services_Sept 2017

January 2017 – Workshop Materials and Information

This Lab kicked off  workshop on January 17th and 18th in Seattle supported by the City of Seattle and the University of Washington.