Getting Started Applying Data Equity to Evaluation
Thursdays 1pm - 3pm ET | August 4th, 11th, 18th, 25th
Move from talking about data equity to embedding equity in your evaluation.
Use the seven-step Data Equity Framework to surface bias, racism, homophobia, sexism, and more in your data projects.
Use the Data Equity Framework checklists to correct these issues and biases.
Develop skills to establish a clear, concrete foundation of data equity is getting started with evaluation.
Learn processes for designing an evaluation that will align with your equity goals and centre the communities and lived experiences you are trying to centre.
Build a tool for managing competing needs and social identity data collection.
Learn to identify the three most common types of evaluation data analysis and an equity checklist for each type.
Practice building a data story that reflects the lived experiences and communities you are working to make meaning with.
“Best Zoom workshop ever. Thank you for all the engagement. The clarity and examples and presentation of ideas in an easily digestible way was excellent! So grateful to have had this opportunity to learn.”KW, Grants Manager
“This course was so much more than I expected. It breaks down how to create and use an equity lens throughout the evaluation lifecycle, in clear language with practical examples. Can't recommend this highly enough. ”Alissa Marchant, Senior Associate with Innovation Network
“So, so wonderful!!! I really appreciate this format. More workshops need to take note! I haven’t been to so useful of a workshop in YEARS. This transformed my world”LM, City Data Manager
“You have explained the complexities of data equity and shared a very practical approach. I've rarely attended a webinar or training so thoughtfully well put together. It was a very good use of our time.”Adrienne Stein