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Center for Urban Science and Progress: Opportunities in Urban Data--Steven E. Koonin
Pages 109-113

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From page 109...
... was established in April 2012, as part of the city's Applied Sciences Initiative, to create a system of innovation that links education and research programs to local and international knowledge networks and markets. Its goal is to contribute to the development of local knowledge networks, local innovation enterprises, and regional technology clusters while linking New York City commerce to global research networks, production activities, and markets.
From page 110...
... A recent economic impact study found 523 innovation firms, 9,628 direct new jobs, 23,000 additional jobs supported,   FIGURE 1 Downtown Brooklyn FIGURE 1  Downtown Brooklyn Together with NYU and NYU-Poly, CUSP is helping in the development of the Brooklyn Tech Triangle Strategic Plan, shown in Figure 2. The Triangle is addressing challenges such as needs for space, infrastructure and facilities, new construction and the retrofitting of existing facilities, and alignment of clear roles and responsibilities.
From page 111...
... CHALLENGES: THE WAY FORWARD 111    Bridge overpass. FIGURE 2  Brooklyn Tech Triangle Strategic Plan.
From page 112...
... Companies such as Google and Microsoft Research New York City, investors such as IA Ventures and Union Square Ventures, major events such as the O'Reilly Strata Conference, meet-ups such as NYC Data Business, hubs such as General Assembly, and open-source projects and nongovernmental organizations are taking advantage of the opportunity to interact in this mix of academic, corporate, and government partners, and various other organizations have expressed interest. CUSP is a unique public-private research center that will use New York City as its laboratory and classroom to help cities around the world become more productive, livable, equitable, and resilient.
From page 113...
... CLOSING REMARKS CUSP concentrates on urban data and access to societal and physical data sources, among others, focusing on three dimensions of concern: proprietary datasets or algorithms, privacy, and protection of critical infrastructure data. CUSP participants use the data to try to solve urban problems such as operational optimization, infrastructure condition monitoring, infrastructure planning, travel and intersection patterns, emergency management, hazard detection, urban meteorology, emissions monitoring, validity and calibration of proxies, variation among cities, and so on.


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