Projects
EPIIC Regional Partnerships
In Fall 2024 Canisius was awarded the National Science Foundation (NSF) Enabling Partnerships to Increase Innovation Capacity (EPIIC) grant. The goal of this program is to broaden participation in STEM by supporting capacity-building efforts at institutions of higher education. We propose to increase the capacity of Canisius to create lasting regional partnerships, these formalized partnerships will allow student teams, led by faculty members to gain experience working on real-world scenarios.
Learn more
How it Works
Regional partners provide projects that are completed by a team of skilled students, all under the guidance of a dedicated faculty mentor. Partners contribute a fee, which is more cost-effective than hiring a consultant, and this fee is used to compensate the students and cover any necessary project materials. This collaborative model ensures high-quality project outcomes while supporting student development and organizational goals.
Partner Benefits
- Innovate Projects - Gain access to motivated students who can complete a project your organization lacks the time or resources for.
- Access to a Diverse Talent Pipeline - Tap into a pool of highly skilled graduates and assess their capabilities before making hiring decisions, enhancing your recruitment efforts.
- Strengthening Community Ties - Boost your organization's reputation by providing educational experiences for students, supporting workforce development, and fostering regional connections.
Our Partners
University at Buffalo Hauptman Woodward Institute (UB - HWI)
Faculty Fellow: Dr. Phil Sheridan
To understand and cure diseases UB-HWI uses X-ray crystallography to determine the structure of proteins. We are using HWI’s structural biology database to find relationships between protein properties and crystallization conditions with the eventual goal of creating a machine learning model to predict optimal crystallization conditions. Ultimately this will help to accelerate the creation of new drugs to combat disease.
The Center for Research Libraries
Faculty Fellow: Sana Spector
Many libraries have a backlog of uncategorized materials. To reduce this backlog we created an algorithm to support cooperative cataloging efforts across a network of 19 research libraries. We focused on optimizing how metadata tasks are distributed, using AI-inspired matching logic and fairness principles to ensure transparency, efficiency, and compliance with reciprocity agreements.
Evergreen Health
Faculty Fellow: Dr. Justin Del Vecchio
Evergreen Health, a healthcare organization serving WNY, has to review many legal contracts that contain private information. We created a local machine learning model that will quickly compare these documents and highlight differences. This will reduce the amount of time employees need to spend reviewing these documents and will preserve privacy by utilizing a local model.
Contact Heather Campbell (@email) to get started.
University of Alberta
University of Alberta students in the Master's Program in Modeling, Data and Predictions (MDP) have the opportunity to take Canisius University courses in cybersecurity, business, or sports that count towards their degree.
Learn more about the MDP Program
