Resources

The Promise Neighborhoods Training and Technical Assistance team, the U.S. Department of Education, Promise Neighborhoods grantees, and key technical assistance partners have produced written guidance, tools, and videos about how to launch and manage a successful cradle-to-career pipeline of solutions and strategies for early learners, students, and families in economically distressed communities. Resources appear in the order they were added with the most recent additions first.

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Cradle to Career

Find resources related to the four pipeline areas: Early Childhood, Kindergarten to Grade 12, College and Career, and Family and Community Supports

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TOP 10 MOST USEFUL RESOURCES

Explore new and popular resources.

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Sustaining a Promise Neighborhood

Learn about sustaining Promise Neighborhoods from grantees and others with expert guidance and reflections.

Results (86)

Sustaining Community Revitalization: A Tool for Preparing Budgets for Promise Neighborhood Initiatives

Author: Laura Martinez and Jenifer Gager Holland, The Finance Project | Year of Publication: 2011

This report shares how Promise Neighborhoods sites can plan and map fiscal needs, gaps in funding, and funding and financing strategies. It provides tools and guidance for thinking through costs of different components of an initiative.

Data Collection Financing

A Guide to Setting Up Congressional Site Visits

Author: Promise Neighborhoods Institute | Year of Publication: 2011

This guide outlines the process for undertaking a site visit with U.S. Senators and Representatives.

K-12 Academic Performance Parent and Community Engagement Policy & Systems

Service Coordination to Achieve Results in Promise Neighborhoods

Author: The Center for the Study of Social Policy | Year of Publication: 2010

This paper shares several observations derived from the history and difficulty of coordinating services in past initiatives. First, service coordination that appropriately serves as a means to an end (improved results for children and families, in the case of Promise Neighborhoods) should flow from a strong, shared sense of the results to be achieved. Second, this requires an agreed on set of results developed through a collaborative process that recognizes a shared responsibility and accountability.

Data Management Systems Parent and Community Engagement Staffing, Organization & Leadership

Building Capacity for Better Results

Author: Silloway, T.; The Finance Project | Year of Publication: 2010

This strategy brief discusses four approaches that leaders of youth-serving nonprofit organizations can pursue to help support and strengthen their organizational capacity: build accurate overhead rates into contracts and grants, access funding to directly support capacity building, access technical assistance to support or improve organizational capacity, and form partnerships to share administrative services.

Program Delivery/Partners

Planning a Promise Neighborhood

Author: Promise Neighborhoods Institute | Year of Publication: 2010

The Promise Neighborhoods Institute at PolicyLink turned to the Bridgespan Group to develop this planning guide. The document is based on Bridgespan’s experience developing business plans with the Harlem Children’s Zone and other neighborhood initiatives that seek to improve outcomes for children from families with low incomes. The guide also incorporates lessons learned from other comprehensive community -change initiatives across the nation, and Bridgespan’s cumulative knowledge gained from helping hundreds of nonprofit leaders expand their antipoverty, education, and youth-development services.

Early Childhood Education K-12 Academic Performance Parent and Community Engagement Staffing, Organization & Leadership

Results and Indicators for Children: An Analysis to Inform Discussions About Promise Neighborhoods

Author: ChildTrends | Year of Publication: 2009

This 2009 report recommends 21 results and accompanying indicators for Promise Neighborhoods. The authors detail existing key data sources, results, and suggested indicators focused on improving health, development, and education of children.

Collecting, Analyzing, and Using Data Data Collection

Focusing on Results in Promise Neighborhoods: Recommendations for the Federal Initiative

Author: Promise Neighborhoods Institute | Year of Publication: 2009

This discussion paper is jointly authored by the Harlem Children’s Zone (HCZ), PolicyLink, and the Center for the Study of Social Policy, with contributions by Child Trends.

Data Collection Family Supports K-12 Academic Performance Program Delivery/Partners

Choosing a Data System for your Promise Neighborhood

Author: Promise Neighborhoods Institute | Year of Publication: 0

To build a strong Promise Neighborhood and be well positioned to seek funding and demonstrate success, communities should incorporate a robust data collection and evaluation plan into their work. Communities seeking federal funding will need to meet U.S. Department of Education requirements, but all communities should use a comprehensive data system to collect and organize data, and help inform decision-making.

Collecting, Analyzing, and Using Data Data Collection Data Management Systems Data Security and Confidentiality

Using Data to Make a Difference: Keys to Success

Author: Promise Neighborhoods Institute | Year of Publication: 0

This fact sheet provides tips and resources for Promise Neighborhoods to effectively approach data. It contains best practices on data collection and sharing and use of information to document community needs, design solutions, and monitor progress.

Collecting, Analyzing, and Using Data Data Collection Data Management Systems Parent and Community Engagement

Why Promise Neighborhoods are Keeping Score

Author: PolicyLink | Year of Publication: 0

This brief discusses the purpose behind using results-based approaches on initiatives like Promise Neighborhoods. It presents Clear Impact's contribution to data collection and results focused on Promise Neighborhoods operations.

Collecting, Analyzing, and Using Data Data Collection Data Management Systems