Hey @adinathoughts@dhruvm I really love the look of this project, the progress on tech's diversity and inclusion problem has been far too slow for my liking, could you please tell us more about how you conduct the research and how you help the companies included in the data? Thanks
@dhruvm@abadesi Thanks! We pulled the data from public profiles like LinkedIn, and then used a combination of name analyzers, facial recognition tech, and manual evaluation on mechanical turk to figure out race and gender.
When designing Dear Tech People, we talked to companies and found this kind of data transparency helpful for benchmarking progress--both against themselves and their peers. Diversity advocates within companies told us this data was helpful for making the case for specific internal initiatives. We hope to support these efforts any way we can, and we talk about some paths forward here: http://www.deartechpeople.com/co...
@sromana14 Thanks so much! We're planning on partnering with companies to have them start sharing their verified metrics as well as more qualitative details about their workplaces! Hopefully this will serve both jobseekers and companies looking to get ideas on how to improve.
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Dear Tech People