Join the coalition led by the University at Buffalo to catalyze AI innovations in healthcare

National Science Foundation Regional Innovations Engines

The U.S. National Science Foundation (NSF Engines) program accelerates the development of sustainable, inclusive, and geographically diverse regional innovation ecosystems that advance key technologies and address pressing regional, national, societal and/or geostrategic challenges. 

NSF Engines must center on a strong R&D and technology topic area and have a cross-sector coalition to build strong relationships among regional stakeholders.

up to $160M

Over 10 years

$15M

First two years

Key Drivers: Engine Programs

Accelerates R&D.

Use-Inspired 
Research & Development

Accelerates R&D.

Translation of Innovations to Practice

Accelerates R&D.

Training Programs & Workforce Development

Accelerates R&D.

Cross-Sector Partnerships & Stakeholder Engagements

Accelerates R&D.

Sustainable Capital & Strategic Investments

Accelerates R&D.

Inclusive Regional Engagement

NSF Webinars

UB has been invited to submit a full proposal

We are one of 71 teams across the nation invited to submit a full proposal for the 2024-25 competition, due February 11, 2025. UB's proposal is the only one with AI as the primary key technology area.

UB NSF Engine Vision: AI For Health Innovations

The coalition assembled by UB, supported by the innovation capacity of the SUNY system and the unprecedented New York State investments in AI, is uniquely positioned to become a leader in AI-enabled healthcare innovation, workforce development, and community engagement.

Vision

Become a scalable and replicable national model for community-informed and industry-driven AI innovation in the healthcare sector.

Mission

Create a comprehensive and integrated innovation ecosystem, catalyzing AI-enabled health innovations for immediate regional deployment, from rural to metropolitan communities​.

Partner with us to drive innovation and create ecosystem change

We’re seeking cross-sector partners to propose and run programs or projects and commit resources that advance key drivers of innovation and address pressing societal challenges.

Community Partners

Develop inclusive training pathways to equip local talent for emerging jobs, facilitate healthcare access, and address critical community needs

Industry Partners

Be at the cutting-edge of AI technology innovations that tackle complex healthcare programs and gain access to trained talent ready to be put to work

Research Partners

Gain access to R&D seed grants and facilitated clinical data to convert your research into impactful technologies

Cross-Sector Partnerships

UB and SUNY are bringing together a coalition of R&D centers, tech industry leaders, healthcare systems, community organizations, training and workforce development partners, public and private funders, and state agencies. We’re currently seeking additional cross-sector partners to propose and run programs or projects and commit resources that advance key drivers of innovation and address pressing societal challenges.

Accelerates R&D.

RESOURCES

Accelerates R&D.

COMMUNITY

Accelerates R&D.

INNOVATION 

Accelerates R&D.

INDUSTRY

UB/SUNY Coalition Strengths

The SUNY system, which is home to 64 colleges and universities across New York State, generates $1B annually in R&D expenditures, holds >1,500 patents and >800 licenses, has formed 120 startups, and has 18 innovation incubators. SUNY and UB alike continue to make strategic investments to advance AI innovations. These are just a few of the AI centers and initiatives underway.

Key Drivers: Resources and Programs

The following are examples of programs or resources that could be proposed by partners to drive the Engine.

Ammonia.
Use-Inspired R&D

Grant funding programs, facilitated health data access

Ammonia.
Translation of Innovations

Industry projects, startup support programs

Ammonia.
Workforce Development

Accessible training programs at all levels

Ammonia.
Partnership and Engagement

Cross-sector coalition spanning academic, industry, community, and government partners

Ammonia.
Strategic Investments

Foundation and philanthropy partnerships to amplify and sustain programs and impacts

Ammonia.
Inclusive Regional Engagement

Supporting community partners across the region

puzzle pieces in varying shades of blue.

Engine Innovation Framework: Key Topic Areas

Discovery-Oriented AI ​to identify novel biomarkers to accelerate disease detection and diagnosis, and accelerate the development of drugs, devices, diagnostics, and assistive technologies.

Operations- and Administrative-Oriented AI ​to optimize resource allocation, improve system efficiency, and advance cybersecurity frameworks to safeguard sensitive healthcare data​.

Patient-Oriented AI ​to enable personalized care and enhance patient engagement via AI-powered digital health platforms and wearable technologies​.

Clinician-Oriented AI ​to support decision-making, streamline administrative tasks to reduce clinician burnout, and enhance medical training and surgical assistance​.

Get Involved

Express interest in partnering on the proposed Engine by filling out the form below. A letter of commitment will be required later should we determine together that a partnership is the appropriate next step.

NSF Engines Project Team Leads

Per Stromhaug
Sr AVP for Economic Development, VPRED, BEP
Cell: 607-240-9103 
NSF Engines Lead

Carol O'Connell
Assistant VP, VPRED
Project Management, Strategic Partnerships and Consultant Liaison Lead

Albert Titus

AVP for Regulatory Support, Professor of Biomedical Engineering and Fellow of the National Academy of Inventors

Olga Petrova
Director of Innovation Initiatives, BEP
Proposal Development and Grant Writing Strategy Lead

Stacey Johnson
Director of Workforce Development, BEP
Workforce Development Lead

Tracy Krawczyk-Schiedel
Assistant VP for Communications, Marketing & Digital, VPRED, BEP
Marketing, Brand and Communications Lead

Emily Behnke
Director SUNY GROW (Grants for Research, Opportunity and Workforce)
SUNY System Administration Lead

'AI at UB' in the News

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