Institute for Data, Intelligent Systems, and Computation

Welcome

  • Integrating Social Science and Engineering
    I-DISC embraces the mission of building and supporting interdisciplinary teams, as well as bringing many voices to the table, including those from the social sciences and humanities.
    Read more
  • Foundations and Applications of Mathematical Optimization and Data Science
    Lehigh MODS Program
    Learn more
  • Understanding Race, Gender, and Ability in Technological Systems
    Data Journalist, Meredith Broussard delivered the inaugural I-DISC Data and Computing Equity and Justice (DCEJ)
    Read more
  • The Science of Autonomy
    Welcome to the new, pulsing core of the Autonomous and Intelligent Robotics Laboratory (AIR Lab).
    Read more
  • Data and Computing Equity and Justice (DCEJ) Plan
    I-DISC is pleased to release its first Data and Computing Equity and Justice (DCEJ) Plan. The Plan reflects our commitment to action. It is the work of many people and the outcome of much research, reflection, and discussion.
    Learn more
The analysis of complex and massive datasets and the development of sophisticated computational models are essential to our understanding and prediction of complex phenomena and systems associated with personalized medicine, healthcare delivery, transportation systems, social networks, the human brain, global climate, and international economic development.
Faculty Information & Resources
LOG ON required using your Lehigh user name & password to access.
Research
Learn more about I-DISC research focus areas.
Opportunities
Faculty & student research support, fellowships & postdoctoral positions.
Workshops & Events
Information & registration for I-DISC supported workshops, seminars, lectures & events.

News

Thursday, May 19, 2022
In algorithms we trust?
Computer science and engineering researchers shed light on critical questions about fairness, privacy, and the spread of disinformation powered by AI
Thursday, May 19, 2022
Optimizing machine learning
"We're designing 'adaptive' algorithms that adjust without the wasted effort for tuning." Frank E. Curtis
Wednesday, May 18, 2022
Accelerating the pace of machine learning
ECE’s Rick Blum seeks to remove the bottleneck in wireless, distributed learning applications
More News »

Faculty Information & Resources
Lehigh Username & Password Required
LOG ON