Chartability
When using interactive, dynamic, and challenging charts and graphs, compliance requirements are are still inaccessible to a wide array of people. Chartibility goes beyond compliance by giving you access to a shortlist of 14 tests that can be conducted in 20-40 minutes (depending on the tester's experience) that will make data visualization more accessible for people with disabilities.
4 Chart Types that Fight for Equality
Learn Stephanie Evergreen’s four go-to charts that she uses to emphasize existing inequities found in data. These charts will help your organization turn stories of inequity into clear visualizations that highlight the need for change.
Decolonizing Data Viz
Often people with power and privilege get to make the decisions about what data is important to highlight. This article summarizes the racist history of data visualization for the purpose of ending data practices that explicitly and implicitly cause harm.
Data Equity Framework
The Data Equity Framework is a systematic process that provides you with a set of tools, checklists, and practices that allow you to identify and understand each place in your work where you are embedding a worldview or prioritizing a lived experience. It equips you and your team to make those choices intentionally in a way that achieves the equity goals you have identified for your work.
The Economic Contributions of Healthy Food Incentives
This pioneering study shows that broad expansions of healthy food incentives would provide powerful returns on that investment – for families, grocers, and farmers, as well as more broadly among the state economies where such benefits are expanded. The findings demonstrate that state and federal policymakers would be wise to double down on their support for these programs.