IACR : Research Collaboration

The IACR runs a wide range of collaborative research supporting and growth activities including

The IACR’s Research group is led by Michael Puerrer, and includes Joan Peckham and additional faculty members. The Institute does not have its own research agenda or program — rather it serves as a focal point for computational researchers at URI and in the region with the goal of strengthening research collaboration and networking. A quick snapshot of the IACR resources is available here: IACR at-a-glance. For details on the broad topic of Generative AI, and the relevant university-wide efforts and guidelines, please visit the URI Provost’s AI page.

Faculty researchers from across the university engage with the IACR in a wide variety of ways. A partial list of the affiliated faculty appears below.

Our Team

Arts & Sciences

Neutron star merger
Neutron Star Merger

Big Data • Quantum Computation • Computational Relativity & Astrophysics • Machine Learning Applications • Digital Humanities & Art • Mathematical Modeling

Department of Physics

Department of Computer Science & Statistics

Department of Mathematics & Applied Mathematical Sciences

Department of Chemistry

Harrington School of Communication & Media

Department of Art & Art History

Department of History

Department of Sociology & Anthropology 

Department of Political Science 

Department of Criminology & Criminal Justice

Business

Big Data • Computational Finance • Machine Learning Applications

Department of Finance

Department of Business Analytics & Information Systems

Department of Accounting

Department of Supply Chain Management

Department of Marketing

Engineering

Molecular dynamics visualization
Molecular Dynamics

Materials Research • HPC  • Engineering Optimization • Molecular Dynamics • Computational Mechanics

Chemical, Biomolecular & Materials Engineering

Civil & Environmental Engineering

Electrical, Computer & Biomedical Engineering

Mechanical, Industrial & Systems Engineering

Ocean Engineering

Environment & Life Sciences

Molecular ecology
Molecular Ecology

Big Data • Computational Molecular Ecology • Computational Evolutionary Genetics • Machine Learning Applications

Department of Natural Resources Science

Department of Fisheries, Animal & Veterinary Sciences

Department of Biological Sciences

Department of Cell & Molecular Biology

Institute for Immunology & Informatics (I‑Cubed)

Department of Environmental & Natural Resource Economics

Department of Geosciences

Nursing

Health Sciences

Big Data • Computational Social Science • Machine Learning Applications

Department of Nutrition & Food Sciences

Department of Public Health

Department of Psychology

Department of Human Development & Family Science

Oceanography

Ocean currents map
Ocean Currents

Big Data • Physical Oceanography • Seismology • Machine Learning Applications 

Graduate School of Oceanography (GSO)

Pharmacy

Big Data • Bioinformatics

Department of Pharmacy Practice & Clinical Research

Department of Biomedical & Pharmaceutical Sciences

Email us at iacr-group@uri.edu with questions, comments, suggestions — anything!

News

  • NSF logo NSF Opens New AI Infrastructure and AI-Ready Dataset Opportunities - Two new NSF solicitations may interest URI teams working with AI, scientific data, research computing, and cyberinfrastructure. Full proposals are due November 4, 2026.
  • Researchers collaborating with AI tools in a modern academic lab setting. Free Claude Team Plan Access Available for Scientists - Anthropic is offering eligible scientists one year of free Claude Team plan access for themselves and up to 25 lab members.
  • IACR logo Fall 2026 Workshop Program Announced - URI fall 2026 workshops include sessions on Unity, AI tools, OpenCode/Codex, prompt engineering, bioinformatics, R, SPSS, and SBDC training.
  • unity logo New Servers Added to UNITY Research Computing Cluster - Twelve new compute servers are now available on UNITY, expanding capacity for URI researchers.
  • OpenAI logo Free ChatGPT for Academic Researchers - OpenAI is introducing ChatGPT for Academic Researchers, a program that will give 100,000 researchers at selected academic institutions free access to their frontier models. The program will help researchers across the sciences, mathematics, and engineering take on advanced problems, accelerate discovery, and improve productivity, from preparing grant applications to testing hypotheses. https://openai.com/index/chatgpt-for-academic-researchers/ This is an […]
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