It has been almost 12 years since New York City launched the Applied Sciences NYC initiative, a once-in-a-generation investment in higher education with the aim of ensuring NYC remains one of the world's premier economic hubs for the future. The initiative involved the creation of three new campuses across the city—the Technion-Cornell Innovation Institute on Roosevelt Island, the NYU Center for Urban Science and Progress in Downtown Brooklyn, and the Columbia University Data Science Institute in the Morningside Heights neighborhood of Manhattan. The city offered over 12 acres of city-owned land at Roosevelt Island, a seed investment of $100 million of city capital, and the full support of the administration. The cost to the city was significant, but the impact was expected to be enormous ($33 billion overall economic impact, 1,000 spin-off companies, and 48,000+ jobs over three decades). How successful has this initiative been thus far and will it be worth the investment? What were the lessons learned? How can other cities leverage their higher education institutions to create a strong commercialization pipeline, from academia to industry, to create more jobs?

Commercial real estate used to be a fairly staid sector, but exogenous shocks to the system such as global pandemics, macroeconomic shifts, and climate change have created a need for faster, more nimble decision-making to increase returns and mitigate risks. Leveraging the vast quantities of data available through the use of machine learning and artificial intelligence can create tools to explain the current state and predict likeliest future states, but acquiring data and the ability to use it effectively costs money and time. After a brief introduction to the topic, the panelists will talk about how their companies have deployed data science and artificial intelligence to create a competitive advantage.