Research & Publications
Rigorous, accessible analysis of how public dollars move through North Texas — and who benefits.
Forthcoming Publications
Forthcoming · Q2 2027
Data Note · 4 pp.
In Development
Five Years of Workforce Development Spending: Where the Dollars Went in North Texas, 2021–2026.
A short technical analysis of public workforce development allocations across North Texas county and city budgets over five fiscal years, with attention to dollars flowing to training programs in historically disinvested zip codes. Data note format: tables, two figures, source documentation, and a brief interpretive paragraph.
Published Briefs & Explainers
First publications expected Q2 2026
Our first published briefs are scheduled for release in mid-2026. Subscribe below to be notified when they are available, or contact us if you would like to discuss any of the forthcoming publications in more detail.
Be notified when our first briefs are published.
Quarterly research notifications. Plain-text summaries, links to the full publications, and short commentary from the team. No spam, no extra messaging.
How we do the work.
Standards
I. Open access, freely citable.
All CBE publications are released under a Creative Commons license and freely available to anyone — community organizations, journalists, policymakers, and other researchers. We do not publish behind paywalls or invitation-only newsletters.
II. Source documentation, every claim.
Every quantitative claim in a CBE publication is traceable to a source document — budget records, public databases, government filings. Source files are archived and made available on request.
III. Two-audience writing.
Working papers are written for technical readers; companion briefs and plain-language explainers translate the same findings for community and journalist audiences. The same evidence base; different reading paths.
IV. Community validation before publication.
Findings are reviewed with affected communities — not just academic peers — before public release. Lived experience surfaces context that quantitative data alone cannot, and validating findings this way improves the work and the relationships behind it.