About CUSP Resources to Make
Big Things Happen
In September 2017, NYU CUSP will move to its permanent home at 370 Jay Street in Downtown Brooklyn. The space will feature 150,000 square feet of renovated space adjacent to the NYU-Poly campus. An adaptive reuse approach will be used to renovate the rest of the building, which will contain an additional 40,000 square feet of business incubator space. This space will house faculty, partner researchers from CUSP’s corporate partners, PhD candidates and postdoctoral researchers, administrative staff as well as research and teaching labs.
Learn more about 370 Jay Street
- Why Brooklyn: A burgeoning technology, arts and entrepreneurship hub (via NYU)
- NYU to Invest More Than $500 Million in Brooklyn on Science, Engineering and Emerging Media (via NYU)
- A History of 370 Jay Street: New York City Transit’s Headquarters (via Curbed)
- Where Halls of Ivy Meet Silicon Dreams, a New City Rises (via The New York Times)
CUSP draws its research strength from an extraordinary consortium – leading institutions of higher learning, leaders in the tech industry, and leaders in public service — that individually rank among the most prominent in their sectors, and together form an unsurpassed whole. Combined with the extensive urban and sustainability research strengths of multiple schools and departments at NYU and NYU-Poly, CUSP is well-positioned to become the global leader in the study of urban informatics.
Since CUSP’s research activities revolve around the collection, analysis, and storage of big data, it requires significant IT resources. Our plans include a multi-petabyte storage facility coupled with local computing clusters composed of a few thousand cores, and access to larger facilities in the cloud. Extensive visualization and data analysis facilities, including two high-resolution display walls, are also planned.
In addition to CUSP-specific IT resources, NYU and NYU-Poly have substantial computing resources that will also be available to CUSP students, staff, and faculty. Such resources include super computing facilities, long-term data storage, high-end computing labs, and site licenses for all major statistical, visualization, and GIS commercial software.