Great resources and ideas from around the web, updated weekly.
Code Switching Across the Social/Data Divide via SSIR: Project Evident’s Gabriel Rhoads, interviewed in the article, identifies the challenge: “The hurdles that can make it [data] useful are cumbersome, intimidating, and off-putting. The data scientist does the analysis, but the translator helps with the ‘to what end.’”
State of the Nonprofit Sector via Nonprofit Finance Fund: The 2018 edition surveys almost 3,400 nonprofit leaders across all 50 states and a wide range of sizes and missions.
MIT fed an AI data from Reddit, and now it only thinks about murder via The Verge: "Norman" is a graphic demonstration of algorithmic bias — what happens when an algorithm is trained on biased data.
Donors: How You Give Matters More than You Might Realize via CEP: Lindsay Louie outlines 3 "avoidable harms" that funders should consider when supporting nonprofits.