University-Wide Ignite Research Colloquium – Interdisciplinary Health Sciences

The University-Wide Ignite Research Colloquium has been postponed. The planning committee will work to reschedule the event when appropriate and inform the OSU community.

You are invited to attend the University-Wide Ignite Research Colloquium – Interdisciplinary Health Sciences Friday, March 13, 2020, Horizon Room Memorial Union. 2 – 5 pm with a reception at 5 pm. Remarks by VPR Tumer at 2pm to kick off the colloquium, and by Provost Feser at 5pm to kick-off the reception.

Enjoy a fun, informal afternoon with colleagues from across the University.  The afternoon consists of 4 sessions (45 minutes each) with presentations related to these themes:  (See a fuller description below)

  • Innovative Approaches for a Planet in Crisis
  • Cause, Prevention, Management, and Treatment of Disease
  • Food Insecurity and Safety
  • Harnessing Big Data to Advance Health Sciences Research  

Each faculty member will be given two minutes (with up to two PowerPoint slides) to speak about his/her research passions and expertise to spark interdisciplinary conversations.  The concise, rapid-fire presentations are designed to “ignite” the audience about research ideas, stimulate thought, and promote collaborations.  This is a forum for faculty to meet each other in an informal venue.  A reception will follow.

Please RSVP by clicking on this link March Ignite Presenter RSVP as soon as possible but no later than Thursday, February 20th.  You only need to RSVP if you are planning on presenting.  Attendees do not need to register. Be prepared to provide the “Title of your presentation.’” We look forward to seeing you at the Ignite event and learning about your research. Marie, Mark, and Tuba

Description of Themes

Innovative Approaches for a Planet in Crisis This theme focuses on linking human health directly to the health of the earth’s natural systems and recognizes that ecology and the earth sciences are pillars of health sciences. Approaches call for reciprocal care of human health and the health of the plant. Topics can cover the intersection of climate change science (including earth and oceanic processes) and other environmental factors (including toxins, hazards, and natural disasters) and human health, from local to global scales. Biotechnology, health equity, and social and political processes are also consistent with this theme.

Cause, Prevention, Management, and Treatment of Disease – This theme takes full advantage of the diversity of expertise and cross-disciplinary rigor from faculty in the Colleges of Pharmacy, Public Health & Human Sciences, Veterinary Medicine, Engineering, Science, and others as well as the Linus Pauling Institute. Topics can include but are not limited to causes, biomarkers, models, predictors, and consequences of chronic, infectious, developmental, and hereditary diseases, the promotion of healthy behaviors to prevent diseases, treatment of diseases, discrimination in health care, health disparities, and translational research.

Food Insecurity and Safety  – This theme addresses complex, multi-faceted research topics including but are not limited to: chemical contaminants in food/diets; food processing/packaging alternatives and human health; applications of probiotics in food safety; community-engaged nutrition education; family and community food security; dietary factors and chronic disease risk; sustainable and equitable community food systems; challenges to maintaining sustainable marine ecosystems and delivering safe, healthy food to our growing population.

Harnessing Big Data to Advance Health Sciences Research This theme focuses on data science and leverages strengths in the biomedical sciences, data and computational sciences, and engineering. Big data fuels effective and innovative health solutions. New uses are being found for big data every day in practically every sector. As we move forward, innovators will need to leverage data in new ways to meet the complex needs of an increasingly technological world. Topics can include but are not limited to artificial intelligence and machine learning applications in health sciences, natural language processing, and GIScience applied to biomedical or environmental datasets, new methods for answering questions about the clinical effectiveness of medications, improvements in real-time data collection and measurement, advances in genetics and epigenomics research, the microbiome and its manipulation for treatment of disease, and use of unique large or multiple datasets to address population health issues. 

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