DATA SCIENCE AND HUMAN SERVICES

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- Technology for Civic Data Integration

MetroLab Network, in partnership with National Neighborhood Indicators Partnership (NNIP) and Actionable Intelligence for Social Policy (AISP), has released a new report, “Technology for Civic Data Integration” that provides brief, practical guidance to describe key considerations in building and sustaining IDS and the various technology approaches for overcoming challenges in data integration. This report is primarily intended for government agencies and their partners who are working on using integrated data to improve services, drawing from NNIP and AISP’s long-standing leadership in those fields, and developed as part of MetroLab’s Data Science and Human Services Lab. This report was made possible thanks to the support of the Annie E. Casey Foundation.

Report: Technology for Civic Data Integration

Note: This research is being funded by the Annie E. Casey Foundation. We thank them for their support but acknowledge that the findings and conclusions that may be presented in this report are those of the authors alone, and do not necessarily reflect the opinions of the Foundation.

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.

Official Press Release- linked here.

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

Note: This research was funded by the Annie E. Casey Foundation. We thank them for their support but acknowledge that the findings and conclusions presented in this report are those of the authors alone, and do not necessarily reflect the opinions of the Foundation.

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.