Community-Centered Libraries webinars are available at no cost to all California public library workers. Equitable Data Practices sessions are recorded and available for one year after the presentation date. Culturally Relevant Evaluation sessions are recorded and available here and in CALL Academy.
Equitable Data Practices
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Learn how to apply an equity framework to any work you do with data. By applying this framework, you will be able to recognize and minimize bias, identify gaps and inequities within datasets, and ensure that the diverse voices in your community are represented. These webinars are led by Heather Krause, the founder of We All Count, a project for equity in data science.
- Download the Equitable Data Practices Webinar Series Discussion Guide
- View the recording of Data Equity: An Introduction
- 99 Choices Checklist: a list of fundamental, nearly universal choices that lead to some of the biggest equity impacts.
- We all Count Forum: a supportive, knowledgeable community of people to answer data equity questions, share resources, and gain allies.
- Building Compassion into your Modeling Variables: Excerpt from Heather Krause’s 2022 Keynote “Who is the Data Privileged Person?”
- View the recording of Collecting and Analyzing Social Identity Data with an Equity Lens
- During the webinar, the following books and resources were recommended:
- Queer Data by Kevin Guyan
- We All Count Talking Data Equity Series
- We All Count Community Forum
- Data Feminism by Catherine D’Ignazio and Lauren F. Klein
- Algorithmic Justice League
- Algorithms of Oppression by Safiya Noble
- Automating Inequality by Virginia Eubanks
- During the webinar, the following books and resources were recommended:
- View the recording of Deciding Which Questions to Ask Your Data
- Microscope Template: a tool introduced to explore data questions, data sources, and perspective.
- View the recording of Doing Descriptive Analysis with an Equity Lens: Who Gets Counted?
- Register for: Questions to Ask Before Using Predictive Analysis and Machine Learning When Working With Data
- July 19, 2024, 11:00 am – 12:30 pm
- Are you considering using recommendation engines, predictive analysis, or machine learning to facilitate your work with data? In today’s world, these options are pervasive, often appearing in unexpected places. We’re told these tools will make our services and lives easier, more effective, and better—and sometimes they do. But often, they don’t. This webinar, taught by Heather Krause, the founder of We All Count, is designed to help non-data scientists understand the initial questions to ask when determining if these tools are right for them. We’ll help you prepare to discuss your equity concerns with vendors and data teams, ensuring you get the answers that matter.
- Register for: Writing the Data Story With an Equity Lens
- August 13, 2024, 10:00–11:30 AM
- Interpreting the results of a data analysis is crucial. To craft a data story that is useful, rigorous, and equitable, it’s essential to take a step back and thoughtfully consider your options. In this webinar, Heather Krause, the founder of We All Count, will guide you through specific steps to apply a data equity lens to your project’s narrative. Learn how to interpret your results in a way that aligns with and supports the purpose of your project.
Culturally Relevant Evaluation
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Learn culturally relevant and community–centered approaches to conducting evaluations of your public programs and services.
Evaluation for Program Planning & Decision-Making
Learn about tools that can help to integrate effective evaluation with a lens of cultural humility and relevance into your program planning and design! Already have a program up and running but want to be sure you are measuring toward the right outcomes? We can help you with that too — with a little “reverse engineering” we will share tools to help you identify what you want to measure and determine what success looks like. Instructor: Dr. Andrea Girón Mathern, Centrality Research.
- View the recording of Evaluation for Program Planning & Decision Making
- Blank logic model template: Download your own copy of the template
- Introduction to Logic Models: Helpful resource from the Kellogg Foundation
Beyond the Survey: Participatory Data Collection
Data collection doesn’t have to be all surveys – join us to learn about tools that can promote engagement, conversation, and connection! These tools support engaging all audiences by considering evaluation barriers such as language, education levels, or the intimidation that evaluation can cause. Mix in a little fun and creativity and you can take these tools anywhere! Instructor: Ellen Roth, Denver Museum of Nature & Science.
- View Recording of Beyond the Survey: Participatory Data Collection
- View Slides from Beyond the Survey: Participatory Data Collection
Evaluation Survey Design 101
Surveys are an effective tool for gathering a lot of information in a standardized way. But not every question is created equal! Join us to learn how to make the most of a survey tool and ensure that your surveys are culturally relevant to your needs and the needs of your broader community. Instructor: Sena Dawes, Centrality Research.