How do venture capital investors react to social movements, including those that relate to historical underrepresentation in funding? We use image and name algorithms combined with clerical review to classify race for 150,000 founders and 30,000 investors. These data allow us to assess the...

We analyze determinants of access to venture capital for Black founders of high-growth startups. We combine image- and name-processing algorithms with clerical review to identify race for over 100,000 startup founders "at risk" for venture funding. Black founders raise roughly one-third as much...

We analyze more than 70 million scientific articles to characterize the gender dynamics of commercializing science. The double-digit gender gap we report is explained neither by the quality of the science nor its ex-ante commercial potential, and is widest among papers with female last authors...