Category Archive for : ‘Social Innovation Fund’

In late 2016, Third Sector and Stanford’s Center for Poverty and Inequality (Stanford) were awarded a Social Innovation Fund (SIF) grant under the Administrative Data Pilot (ADP) category.  After a rigorous competition, three sub-grantees were chosen to receive two years of technical assistance from Third Sector and Stanford to develop administrative data infrastructure and outcomes contracting processes, culminating in September 2019. This blog post illuminates how these three projects are using quantitative and qualitative data to improve outcomes for participants in social service programs.

“Not everything that can be counted counts,

Program will Leverage Data to Evaluate Impact and Promote Services that Measurably Improve Lives

Boston, MA – Local and state governments collect vast amounts of information in the course of delivering social services to children and their families. Unfortunately, many government agencies are unable to use that valuable data to assess program impact and improve quality. This is because data are rarely connected across agencies and almost never used to allocate government spending. In the absence of integrated data and outcomes-oriented contracting, governments struggle to make good decisions about how to

The current public workforce system has left out some of our country’s most vulnerable people. With federal funding spread across 11 agencies and 47 programs, much of the system relies on cost-reimbursement contracts that stifle innovation by 1) prescribing services that prohibit providers from adapting programs to needs and 2) not rewarding providers for improving [...]

The following post originally appeared on America Forward’s Blog as a guest post. 

Less than 10 years ago, the phrase Pay for Success was virtually unknown in most circles—particularly government circles. Though a seemingly simple concept, an approach to contracting for services where payments from governments (or other end-payers interested in supporting the achievement of measurable outcomes related to public programs) are linked to positive outcomes that have been measured and evaluated—Pay for Success is being tested, applied, and replicated at a rapid pace.

Contributing to the interest and uptake of Pay

This article originally appeared on the Living Cities’ blog as a part of their new series which celebrates the five year anniversary of their first PFS project, and shares reflections from them and their partners on new directions in PFS. For updates, follow their Pay for Success Newsletter.

Nearly one in every seven youth and young adults across the United States are neither employed nor in school. Nationwide, this amounts to approximately six million disconnected or “opportunity youth” who face barriers to employment, including limited community resources, low-performing schools, and inadequate assistance from

The prevalence of data in the social sector means that government agencies and nonprofit providers, in theory, have a wealth of information at their disposal to understand what works and more effectively deploy resources to achieve better outcomes. Administrative data (data collected by governments or nonprofits as part of administering a specific program) in particular provides a cost-effective and accurate way to understand participant outcomes and break the silos between agencies serving similar populations who operate in different policy domains.

The practical reality is that providers and government agencies cannot easily