News from the University of North Dakota School of Medicine & Health Sciences
We just held our debriefing session for those of us who attended the recent Association of American Medical Colleges (AAMC) annual meeting known as Learn Serve Lead. We joined over 4,500 colleagues from medical schools across the country to compare best practices and discuss common challenges. As promised in a prior column, what follows is […]
Join the UND Libraries team on Tuesday, Nov. 21, for a UND faculty panel on the influence of artificial intelligence (AI) on research and publishing. Generative AI introduces both challenges and opportunities for the evolution of new research methodologies and scholarly pursuits, particularly with regard to the production, dissemination, and access to information. Scholars and […]
Categories: Events
Generative AI, as seen on platforms like ChatGPT and Bard, presents challenges and opportunities that will forever change the college classroom. Please join Chester Fritz Library, the SMHS Library, and Thormodsgard Law Library on Monday, Oct. 9, at 2 p.m. as they welcome UND College of Education & Human Development faculty, including Associate Professor Virginia […]
In my column from a few weeks ago, I mentioned that the North Dakota University System (NDUS), in conjunction with the State Board of Higher Education (SBHE), is planning to update its current strategic visioning document (called Envision 2030) to run through 2035. Envision 2035, as it is called, will be the blueprint for how […]
Feeling overwhelmed by the sheer amount of artificial intelligence (AI) news and also pressured to at least dip your toe in? Then check out the new SMHS Library Resources AI Guide. AI seems to be everywhere, and information on it is also incredibly fluid. Librarians created this guide to be a dynamic resource for the […]
Please join us on Tuesday, March 10, 2020, at noon in SMHS Room W202 for “The Transformational Role of Artificial Intelligence in Behavioral Health,” a talk by Dr. Atif Farid Mohammad. Dr. Mohammad is seeking to build collaborative relationships with SMHS researchers in the area of machine learning and big data, including access to denitrified […]