the less economically advantaged and so many other lived experiences. The more I thought about it, the more I was struck by the irony and hypocrisy, that for all Silicon Valley's obsession with data, there was no data at all on diversity, which meant no benchmarks, no metrics for success, and no way of knowing if we were doing better or getting worse. In October of 2013, I wrote a medium post posing the question, Where are the numbers, and I set up a GitHub repository to crowdsource data collection on women and engineering. Unexpectedly, I sparked a wave of diversity data disclosures from companies small and large, including companies like Google, Facebook, and apple. With the data out there, the problem was undeniable, and suddenly very urgent. Four years later, with the now annual cadence of diversity data reports showing little progress is also undeniable. that change is hard, and will require committed effort over a long period of time. And unfortunately, the solutions aren't straightforward. However, now that we have measurements, we have a framework for experimentation as a means of iteration and improvement. And we have accountability. We've used data to formulate the problem of diversity in tech. Now we're using data to find the solution. My name is Tracy Chow, and I'm a founding member of project include. Thank you.