Interdisciplinary Programs

  • Center for Information Technology Policy
    Forging ties between technologists and public policy experts, the Center for Information Technology Policy at Princeton University addresses societal issues, such as privacy and security, connected to advances in computer technology.
    Center participants are from Princeton departments such as Computer Science, Economics, Electrical Engineering, Operations Research and Financial Engineering, and Sociology, and the Woodrow Wilson School of Public and International Affairs.
  • PICASso
    The Program in Integrative Information, Computer and Application Sciences (PICASso) is a graduate training program in computational science. PICASso's goal is to train a new breed of researcher who is truly interdisciplinary. Such people do research in the area between application and computer sciences, understanding both deeply enough to make contributions in each area. They also serve as bridges between communities, bringing people together and interfacing their languages and research. This is increasingly critical in a world with ever more interdisciplinary scientific needs. The PICASso vision is accomplished by providing integrative research and education training in all stages of the computational pipeline, from applications through models and methods to scalable parallel and distributed computing, storage and visualization. In addition to weekly seminar series where students learn about computationally-oriented research occurring in many different disciplines, we offer full courses spanning a range of computational topics, as well as shorter hands-on mini-courses focusing on practical skills such as parallel programming and scientific visualization. All are welcome at PICASso activities and events!
  • PACM
    The Program in Applied and Computational Mathematics (PACM) offers a select group of highly qualified students the opportunity to obtain a thorough knowledge of branches of mathematics indispensable for science and engineering applications, including numerical analysis and other computational methods. PACM runs a graduate program and an undergraduate certificate program.
  • QCB
    The Program in Quantitative and Computational Biology (QCB), administered by the Lewis-Sigler Institute for Integrative Genomics, is intended to facilitate graduate education at Princeton at the interface of biology and the more quantitative sciences and computation. This is meant to include, among others, the fields of genomics, biophysics, computational neurobiology, systems biology, population biology and quantitative genetics, molecular evolution, computational biology and microbial interactions, all of which are already of interest to faculty in the collaborating departments and the Institute. Ph.D. degrees will be offered by the collaborating academic departments with some indication of the interdisciplinary nature of the thesis.