We stand on the threshold of a new era of data-driven research and development, characterized by massive datasets and highly-complex cross-disciplinary problems. Progress depends on the mobilization of disparate teams of specialists with the ability to harness computation to mine vast quantities of data.

Affiliates benefit by focusing on a strategic research area within the Computation Institute. Some of our diverse research programs are described briefly below. Please contact us to discuss how other CI research may be relevant to your areas of interest.

Urban Science

Rapid global urbanization is also outpacing the ability of cities to adapt in key areas such as energy, transportation, services, and the environment. The Center for Urban Systems and Information Sciences (CUSIS) applies computational science methodologies and tools to understanding the impact of rapid growth and expansion of cities on the natural environment, on built and engineered infrastructures, and on the individuals and communities dwelling in and around cities. New sources of data associated with each of these three facets of create new research opportunities within many disciplines. CUSIS harnesses expertise in areas including applied mathematics, machine learning and data mining, data organization and management, computational modeling, and high-performance computing and data management to (a) transform the many urban data sources into a dynamic and coherent research platform, (b) develop tools and methodologies for representing and analyzing these diverse data sources, and (c) enable forecasting and planning through computational models calibrated and validated with urban data.

Text as Data

Nearly one million medical and scientific journal articles are published each year across tens of thousands of journals. At that pace, no doctor or scientist can keep up with the literature in their field, creating a need for computational text-mining techniques that can automatically extract and digest this flood of information. These techniques can produce new hypotheses and models of disease, as well as offer fresh perspectives in other fields with large archives of text in the humanities and social sciences. Researchers at the Computation Institute are using text mining, natural language processing and pattern matching in a host of innovative applications to represent and model fields of knowledge.

Visualization and Imaging

An image can contain a multitude of information. The Computation Institute is driving innovation in computer-aided data visualization, enabling more efficient analysis and dissemination of complex data produced by large-scale projects and computer simulations. CI scientists are also pushing the frontiers of computational methods to analyze complex scientific and medical images, improving research methods and disease diagnosis.

Enabling Big Data Sciences

The Computation Institute is home to a unique team known worldwide for developing methods for manipulating, visualizing, mining, and sharing data on large scales, across platforms, between institutions, and in such fields a genomics, climate change, supercolliders, and gravitational wave astronomy. We are pioneers in developing technology for federating distributed computing devices, storage systems, communications networks, and scientific instruments to create large-scale, high-performance virtual organizations.

Computational Molecular Science

The building blocks of life contain a complexity that scientists are only beginning to recognize. Modeling cellular proteins and chemicals through computer simulations is helping CI researchers understand how these molecular machines operate, from the genetic recipes that build them to the constantly moving structures that execute their functions. Understanding these processes can inform the development of smarter drugs, personalized medicine, or energy storage. 

Climate and Energy Modeling

In the coming decades, climate change will present a monumental challenge to virtually all aspects of global economy, industry, and politics. Projections of global climate change rest on advanced computer-enabled modeling of climatic variables. The Computation Institute houses several leaders in climate and energy modeling, including the members of the Center for Robust Decision Making on Climate and Energy Policy.