Leading Equitable Data Practices
Public workshops
This is the program for you if:
• Your work involves data.
• You are making data-informed decisions.
• And you are seeking ways to use data responsibly, counteract harmful data bias, and contribute to social change.
What we cover
Part 1: Equity in Data Projects. We will cover approaches for defining fairness within a specific project context, and how equity impacts the creation and use of data through collection and categorization.
Part 2: Data Ethics. We will discuss various types of bias and their impacts, how power dynamics are reflected in data and organizational practices, and practical methods to embed ethical practices into data projects.
Part 3: Impact of AI and Algorithms. Here we will discuss the assumptions and choices that shape the design and implementation of algorithms, applying our learnings about equity and ethics to understand the impact of machine learning and AI on stakeholders and communities.
What’s included
A curated curriculum of the latest and greatest resources to teach you the foundational concepts of equity and ethics in data and algorithms.
Three live virtual sessions with your cohort facilitated by data equity coaches to enable you to dig into these concepts, apply them to your work right away via hands-on exercises, and get support and feedback from your cohort in a small-group setting.
A one-on-one meeting with your data equity coach to help you create your customized action plan and navigate any challenges you’re facing in developing a personal or work-related data project.
Our only requirement is that each participant comes with a data project so that you can directly apply the principles learned to real-world practice.
For more details, check out our FAQ.
Our January Data Equity Skills Workshop Series was a huge success!
❝ We welcomed our largest cohort of participants, who brought great energy and active participation and gave us our highest-ever recommendation rating.
Our team of seven facilitators allowed us to dedicate someone to each breakout group, and funded operational support meant that things ran smoothly. ❞
– Rachel Whaley, Data Equity Program Lead
Read our press release here.
What people are saying
January workshop outcomes
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