ScholarLens Back to search
2019•VTechWorks (Virginia Tech)Open access

Better Together: How a Reimagined Federal-State Partnership to Fund Public Higher Ed Could Help Bring College within Reach for All.

Michele Streeter, Jessica R. Thompson

Open full text 0 citations

Abstract

Comprehensive policy framework for designing a new federal-state partnership to fund public higher education. This proposal offers a roadmap for turning the tide of state disinvestment and restoring the promise of public higher education for all students.

Open-access reader

About this research paper

What this paper is about

Comprehensive policy framework for designing a new federal-state partnership to fund public higher education. This proposal offers a roadmap for turning the tide of state disinvestment and restoring the promise of public higher education for all students.

Why it matters

A significance statement is not available in the OpenAlex record.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

Comprehensive policy framework for designing a new federal-state partnership to fund public higher education. This proposal offers a roadmap for turning the tide of state disinvestment and restoring the promise of public higher education for all students.

Key concepts: General partnership, State (computer science), Public administration, Political science, Business, Computer science, Finance, Algorithm

Related papers

Related paper 1Related paper 2Related paper 3
Back to paper searchBrowse research topicsOriginal source
Better Together: How a Reimagined Federal-State Partnership to Fund Public Higher Ed Could Help Bring College within Reach for All. — Research Paper | ScholarLens