Data Justice is the collection, analysis, sharing, and use of data entirely in service of and with accountability to participants and their communities. Data Justice is a lens to evaluate the intended or unintended consequences of researching or collecting data on individuals and communities. It values the dignity, privacy, and humanity of all people.

Join your MCF member peers as we partner with Candid to discuss MCF’s Giving in Minnesota Report and other tools powered by your giving data.

Join us to learn about Ripple Effects Mapping (REM), a qualitative evaluation approach that relies on interactive group interviewing and reflection.

This peer network provides space for staff roles responsible for learning and evaluation to connect with one another, share about the work they are doing, and talk through questions and challenges with their peers.

Learn about Bush Foundation's Performance Scorecard – why they did it, how they did it and what they’re learning along the way.

A space for staff roles responsible for learning and evaluation to connect with one another, share about the work they are doing, and talk through questions and challenges with their peers.

In this briefing, 3M will explore their impact via a Strategy Map that analyzes their philanthropic investment portfolio.

A space for staff roles responsible for learning and evaluation to connect with one another, share about the work they are doing, and talk through questions and challenges with their peers.

Join this virtual gathering of the MCF Learning and Evaluation Peer Network to dig into the concept, hear how it’s being implemented in a variety of contexts, ask questions, and get tips for your own work.