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Check out the latest updates and insights from Project Evident’s team and partners.

Slide reading ‘Correlation is Not Causation. Your AI Doesn’t Know the Difference.’ Attribution below: Peter York, Chief Data Scientist, with a small headshot on the right.
AI,Data and Evidence,

Correlation Is Not Causation. Your AI Doesn’t Know the Difference.

AI tools in the social and education sector promise better outcomes, but most only measure correlation, not causation. Learn why causal AI and evidence infrastructure are essential for nonpr …
Slide reading ‘Practitioners at the Center’ with subtitle ‘A Decade of Learning About What Durable Evidence Infrastructure Really Requires.’ Attribution: Gabriel Rhoads, Senior Advisor, with a headshot on the right.
Data and Evidence,Equity,

Practitioners at the Center: A Decade of Learning About What Durable Evidence Infrastructure Really Requires

Durable evidence infrastructure starts with the practitioner. Senior Advisor Gabriel Rhoads reflects on what practitioner-centric evidence building really requires, and why putting the pract …
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Events and Webinars, | Strategic Budgeting,

Reimagining Curriculum Adoption: Notes from the Education Agency Practice’s Fall 2026 Convening

Most district leaders know how to pick a curriculum. Fewer have a reliable way to answer the questions that come after: Will teachers be ready to use it? Can we afford it in year three, not ...
A presenter points to an adoption cycle planning template projected on a screen during a Project Evident workshop. Participants sit at tables, following a presentation on phased curriculum implementation across multiple school years.
Events and Webinars,Insights, | Data and Evidence,

Making Career Exploration Add Up for Young People: Reflections from Practitioners at JFF Horizons

Young people begin forming ideas about careers and their own potential early in adolescence. They narrow career options they will consider by early teens, often based on perceptions of gende ...
Insights, | Strategic Evidence Planning,

What Over 9 Years of Strategic Evidence Planning Taught Us About Making Evidence Useful

Drawing on nearly a decade of strategic evidence planning, this article explores why building useful evidence begins with organizational readiness, strong infrastructure, and clear decision- ...
Insights, | Data and Evidence,

Making Evidence-Based Practices Work in Curriculum Adoption: Lessons from the Education Agency Practice Spring Convening

Project Evident reflects on ten years of Strategic Evidence Planning and what it takes to build the evidence infrastructure that helps nonprofits and school districts achieve durable, equita ...
Insights, | AI,Data and Evidence,

Faster Toward What? Reflections from the Good Tech Summit

While AI offers real operational efficiency, focusing solely on speed misses the deeper opportunity to build a reciprocal, practitioner-centered data ecosystem.
Insights, | AI,Data and Evidence,

Correlation Is Not Causation. Your AI Doesn’t Know the Difference.

AI tools in the social and education sector promise better outcomes, but most only measure correlation, not causation. Learn why causal AI and evidence infrastructure are essential for nonpr ...
Slide reading ‘Correlation is Not Causation. Your AI Doesn’t Know the Difference.’ Attribution below: Peter York, Chief Data Scientist, with a small headshot on the right.
Insights, | Data and Evidence,Equity,

Practitioners at the Center: A Decade of Learning About What Durable Evidence Infrastructure Really Requires

Durable evidence infrastructure starts with the practitioner. Senior Advisor Gabriel Rhoads reflects on what practitioner-centric evidence building really requires, and why putting the pract ...
Slide reading ‘Practitioners at the Center’ with subtitle ‘A Decade of Learning About What Durable Evidence Infrastructure Really Requires.’ Attribution: Gabriel Rhoads, Senior Advisor, with a headshot on the right.
Tools and Resources, | AI,

Where Does Your Foundation Stand on AI? Introducing the AI Journey Map for Philanthropy

Project Evident announced today the launch of its Equitable AI Adoption Framework, a practical guide designed to help practitioners responsibly integrate artificial intelligence into their p ...
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A chart showing Project Evident's AI Enablement Map, organizing six stages of foundation AI adoption across four phases: Emerging, Engaging Individuals, Enabling Teams, and Ecosystem Building. Each stage includes key milestones and friction points.
Tools and Resources, | AI,

New Case Study: Designing AI Tools That Practitioners Actually Use

Project Evident is pleased to share a new case in our Equitable AI Adoption series: “Co-Creating AI Tools That Meet Practitioner Needs: Aurora Public Schools and TalkingPoints Collaboratio ...
Insights, | Data and Evidence,Strategic Evidence Planning,

From Strategic Evidence Planning to Evidence Infrastructure: A Decade of Learning in the Social and Education Sector

Project Evident reflects on ten years of Strategic Evidence Planning and what it takes to build the evidence infrastructure that helps nonprofits and school districts achieve durable, equita ...
Slide titled ‘From Strategic Evidence Planning to Evidence Infrastructure’ with subtitle ‘A Decade of Learning in the Social and Education Sector.’