AISP’s Whitney LeBoeuf talks with Knowledge @ Wharton about the Use of Big Data

Dan at Knowledge @ Wharton’s Business Radio talk show interviews AISP’s Research Associate, Whitney LeBoeuf, about the research she is involved in within Philadelphia, the AISP project, and UPenn’s GSE Child Research Center.  Whitney discusses how government agencies collect administrative data on individuals they serve which can then be harnessed by researchers to create a more…

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How Allegheny County’s Data Warehouse is improving human services through integrated data: An interview with Erin Dalton by GovInnovator

Allegheny County, which includes Pittsburgh, is recognized as a leader in using data to improve the results of its human services programs. In particular, the county’s Department of Human Services (DHS) created its Data Warehouse in 1999. The initiative stated by consolidating its own internal human services data relating to topics such as behavioral health, child…

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AISP Q&A with Christopher Kelleher of Pay for Prevention at OHSU’s Center for Evidence-based Policy

Christopher Kelleher, from OHSU’s Center for Evidence-based Policy, discusses Pay for Prevention Program Q1. How did the Pay for Prevention program start? CK Response: In 2009, Congressman Earl Blumenauer and former Governor John Kitzhaber initiated an effort, subsequently titled Pay for Prevention, to answer two questions: (A) How can Oregon harness high-quality evidence and data…

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The promise of integrated data systems for social policy reform: A Q&A with Dennis Culhane and John Fantuzzo

Actionable Intelligence for Social Policy (AISP) is an initiative funded by the John D. and Catherine T. MacArthur Foundation, with the purpose of improving the quality of education, and health and human service agencies’ policies and practices through the use of integrated data systems.  AISP aims to build a nationwide professional network of data expertise…

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Webinar: Integrating early childhood data: What legislators need to know

The National Conference of State Legislatures hosted a webinar that focuses on how integrated early care and education data systems can inform policymakers and help answer questions about young children, families, programs, and services in their states. Accurate data are important to state legislators in understanding and improving program accountability, addressing service gaps, enhancing quality…

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Schools, Government Agencies Move to Share Student Data

The struggle to protect students’ privacy while making use of the data collected on them in school has for years been focused on the role of outside companies. But while that debate has raged in Congress and statehouses across the country, K-12 school systems in more than a dozen cities and counties have quietly begun…

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Families Involved in the Allegheny County Homelessness System

This report describes Allegheny County families who experienced a housing crisis from 2009 through 2013, with a particular focus on the 2009 entry cohort. In 2014, the Allegheny County Department of Human Services (DHS) conducted a review of its homelessness services system as a first step in planning for and promoting effective strategies for reducing…

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New Program Aims to Help Reduce Recidivism in Allegheny County

A Pennsylvania Commission on Crime and Delinquency grant will fund a new program in Allegheny County aimed at providing affordable housing, employment services and other support for a group of men and women most at risk of returning to jail. The Allegheny County Mental Health and Justice Housing program, an effort of the Allegheny County…

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Allegheny County’s Research on Integrated Administrative Data That Improves Foster Care Outcomes is Highlighted in GovTech Article

“Sharing Data Key to Improving Foster Care Outcomes”  “An average of 32 percent of foster students change schools in a given year, making data sharing imperative to improving their educational success.” States that share data among child welfare and education agencies have a better chance of lessening some of the barriers foster care students face…

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Rachel Zinn, Director of the Workforce Data Quality Campaign, Answers Questions from the AISP Team in Regards to President Obama’s Budget and Workforce Innovation and Opportunity Act (WIOA)

AISP: You are likely aware of the Administrative Data chapter in President Obama’s 2016 budget. What was your impression of its focus on “improving access to workforce data” and what do you think we can expect from this statement? Rachel Zinn: “We were thrilled to see that the 2016 President’s Budget includes proposals to expand…

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Integrating Administrative Data: Routinizing Our Success and Exploring New Frontiers

The Federal Committee on Statistical Methodology’s conference held in December of 2014 featured a session on “Integrating Administrative Data: Routinizing Our Success and Exploring New Frontiers.” (Organizers: Shelly Martinez, OMB; Grace Medley, SAMHSA; John Eltinge, BLS; Kitty Smith, COPAFS) Chair:    Adam Sieminski, Administrator, Energy Information Administration From Demonstrating the Potential of Administrative Data in Statistical…

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White House Promotes IDS for Low Cost RCTs

The Office of Science and Technology Policy and the Coalition for Evidence-Based Policy convened leaders from the White House, Federal agencies, Congress, philanthropic foundations, and academia this week to explore an important development in the effort to build credible evidence about “what works” in social spending: low-cost randomized controlled trials (RCTs). The goal of the conference was…

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Rep. Ryan Advocates Utilizing IDS for Program Evaluation

Ryan is interested in creating a Clearinghouse for Program and Survey Data, which would combine data on government programs with administrative and survey data to allow researchers to evaluate the impact of programs…to read the rest of the article, click here.

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Administrative Data Helps Identify Benefits of Supportive Housing

This report describes the housing status of 17,471 King County households that received Temporary Assistance for Needy Families (TANF) in State Fiscal Year 2011 to gain a better understanding of how their housing status relates to receipt of social services and indicators of well-being. Five housing status categories were identified using administrative data: three groups…

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