Amazon has just revealed the proposed design for its second headquarters, in Arlington, Virginia, just outside of Washington, D.C. Designed by NBBJ, the project “creates an environment that prioritizes healthy work, celebrates nature and engages the community across multiple scales.” Encompassing 2.8 million square feet of offices, public gathering areas and street-front retail, the intervention aims to create a healthier workforce and community.
Amazon’s open call for bids for its new headquarters, HQ2, closed last month, but in the months leading up to the final decision in 2018, analysts will continue to flood the internet with detailed studies evaluating who they believe should be the winner. In other words, the mirror-mirror-on-the-wall game for cities is just starting to warm up.
Earlier, ArchDaily reported on the data-driven approach adopted by Moody’s Analytics which projected Austin, TX as the winner. But another study by IT education company Thinkful now points towards Washington DC as the city most likely to make the cut. So what makes Washington DC the fairest of them all? Read on to see how data science techniques helped analysts at Thinkful with this prediction, what kind of approach they adopted, and how it differed from that of Moody’s Analytics.
