Document Category: Data-Driven Decision Making

The Evidence Decision-Makers Want

The Center for the Study of Social Policy (CSSP) works to promote the use of evidence in decision-making by leaders in public sector human services systems (such as child welfare and mental health) and in closely related organizations such as non-profits that provide many social services. This document summarizes how decision-makers think about and use …

The Evidence Decision-Makers Want Read More »

What are Predictive Analytics in Child Welfare?

This Prezi presentation defines predictive analytics, provides examples of how to use existing data sets in order to determine patterns and predict future child welfare outcomes and trends, and explains challenges that prevent us from using and getting the most out.

Use of Research Evidence: Building Two-Way Streets

This video challenges the traditional paradigm of moving from “research to practice,” suggesting that researchers and evaluators need to think differently about the ways that research is acquired and used, and then describing steps they can take to close the gaps between research and practice.

Using Data: NCWWI 1-page Summary

This document highlights the findings of a study identifying the organizational factors that influence data use among child welfare employees in their day-to-day work and decision-making.

Predictive Analytics and Child Protection: Constraints and Opportunities

This webinar discusses increasing efforts to leverage predictive analytics for better decision making in child protection. It reviews past experiences, constraints, and future opportunities for use of predictive analytics in the field considers how predictive analytics might inform, assist, and improve decision making in child protection.

Receive the latest news

Subscribe To Our Newsletter

Get notified about new articles