About CUSP Resources to Make
Big Things Happen

At the scale at which it will operate, CUSP will help coalesce an important sector in New York City’s economy, placing it at the center of a global stage in the field of urban informatics. Essential resources seldom enjoyed by newly created centers prime CUSP for its ambitions. Among them are:

CUSP’s long-term home will be 150,000 square feet of renovated space in 370 Jay Street in Downtown Brooklyn, 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. Renovations are expected to be complete in 2017.

CUSP’s interim home will be in MetroTech, where NYU-Poly is located. The layout includes 35 private offices, 48 open workstations, two large visualization labs, a light electronics lab, two conference rooms, a 70-person seminar room, and seven flexible collaboration spaces. 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.

CUSP’s classrooms and a server room will share space with the NYU Game Center in an adjacent MetroTech building. The Game Center is a collaboration of the Courant Institute of Mathematical Sciences; Polytechnic Institute of NYU; Steinhardt School of Culture, Education, and Human Development; and Tisch School of the Arts.

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.