CIS offers a number of opportunities for students and faculty to engage in collaborative education and research.
Cornell University has the interdisciplinary character to face the new challenges in social sciences and is at the forefront of developing the new field of computational social science.
The Cornell-r4 Institute for Applied AI brings together cross-disciplinary scholars and industry experts in data science, advanced mathematics and leading-edge technology to help solve business and societal problems.
Center for the Interface of Networks, Computation and Economics (CINCE)
CINCE is the leading research group at the interface of computing and information science and the social sciences, an emerging area which is growing in importance nationally.
Cloud Computing @ Cornell highlights the multi-disciplinary Cloud Computing projects from across Cornell. We are a hub to connect faculty and students working in the field.
GDIAC is an interdisciplinary collaboration of students and faculty dedicated to the academic study of game design.
Computational sustainability applies computational methods to improving the sustainbility of the environment, economy and society.
The Center for Network Programming supports research on language, algorithms, and tools for network programming and facilitates closer interactions with partners in industry and government.
Program of Computer Graphics
Founded in 1974, the PCG is an interdisciplinary center dedicated to the development of interactive computer graphics techniques and the use of these techniques in a variety of applications.
IC3 is an initiative of faculty members at Cornell University, Cornell Tech, UC Berkeley, UIUC and the Technion. IC3 is collaborating with domain experts in finance and banking, entrepreneurs, regulators and open source software communities toward fast and reliable financial systems of executiona and record.
Cornell Initiative for Digital Agriculture connects world-renowned researchers across academic boundaries with multidisciplinary practitioners to address global food system challenges. CIDA develops and applies digital innovations in agriculture designed to improve the sustainability, profitability, resiliency and efficiency of the world's food systems.
An initiative housed within CIS, AIPP approaches AI as a fundamentally socio-technical phenomenon, one that must be understood with both normative depth and technical precision. The initiative combines technical, sociological, philosophical and legal expertise and methods in order to more fully understand and more wisely develp the future path and impact of AI.