Abstract: 

One of the biggest challenges we see at Worksense with companies that care about using data to drive workplace fairness is the gap in existing people data. Internal data scientists, especially at early-stage companies, could be uniquely able to educate their organizations on why it is important to collect these kinds of data that can help run relevant DEI analysis. For data scientists that want to add this kind of value to their organizations, it is then important that they are able to properly communicate the importance of doing this in a manner that motivates their parent organization to prioritize these kinds of data collection.

Bio: 

TBD