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Bringing Data Equity and Action to the Community

Health is more than the absence of illness – it is a complete state of physical, mental, and social wellbeing. In line with that broad definition, IIHR provides resources for faculty conducting scholarship, service, and teaching on all aspects of health and well-being: emotional, physical, occupational, social, spiritual, intellectual, environmental, and financial.

IIHR is a collaborative effort aimed at supporting faculty research and bringing community stakeholders together for the betterment of health and wellbeing for all. We bring academic expertise to basic and applied challenges in health research and academic mentorship opportunities to increase the inclusion and diversity of those traditionally left out of the research process.

Our Mission

1. Utilize data and rigorous methodologies to conduct and support health-focused research across disciplines to further faculty scholarship. 
2. Promote data equity and identify actionable solutions to complex challenges in human health and wellness to serve the community.
3. Provide mentorship, professional training, and education to community members, business leaders, and government agencies.

Services Offered

1. Interdisciplinary Health Research (Scholarship): We support rigorous interdisciplinary health research by promoting faculty professional development goals and increasing funding and advancement opportunities.
2. Applied Research Partnerships (Service): We enhance community health by engaging in collaborative efforts with local and regional stakeholders. Our focus is on developing essential tools and mechanisms that effectively disseminate and translate research findings and policy analyses.
3. Continuing Education, Professional Development, Data Academy (Teaching): We offer data- and health-equity focused certificate programs and workshops as opportunities for professional development and sustainable solutions for future challenges. Topics include: field research methods, program evaluation, data visualization, qualitative data collection and analysis, biostats, grant writing, business models, logic models, outcome and framework models, infrastructure building / capacity building, health communication, ethical use of data, working with human subjects.