Dissemination & Decision Support Systems
The thrust of this line of research lies in the dissemination of knowledge
proactively so as to help decision makers with Just In Time information as
they go about their daily routines. How can they get just what they need,
just when they need it? The adaptive networks group worries about how to
deliver knowledge in the form and to the location decisionmakers are at,
subject to willingness to pay constraints. This research group worries more
about the ability of agents to recognize contextualities, to support the
decisionmakers' needs, to determine just what should be disseminated, and
to focus the decisionmaker's attention via approapriate alerts and
reminders. Here we worry about how decision support agents can address
users' unstated intentions, subtleties of judgement processes, and
preferences and desires. Of primary interest is the notion of
human-to-human collaboration and the proper role for (potentially private)
mediation and support from software agents. Some example projects are
listed below and in the faculty bio sketches:
Faculty
Kathryn Bowles, PhD, RN, Decision Analysis and Support of Hospital Discharge Referral Decisions; Tele-Health Interventions.
Rachel Crosen, PhD, Game theory and decisionmaking in business
David Doukas, MD, Bio-ethics and consumer health websites, ethics of patient information handling
Steven Kimbrough, PhD, Decision support systems; electronic commerce;
artificial intelligence and computational rationality; logic modeling; evolutionary computation
(including genetic algorithms and genetic programming)
Norma Lang, PhD, RN, Public health message tailoring, terminology standards, hospital quality management
Curt Langlotz, MD, PhD, Medical informatics: radiologists' decision support tools, automated explanation of patients' preference-based decision models
Barry Silverman, PhD, Intelligent software agents, human behavior simulation, adaptive man-machine systems
Mark Weiner, MD, Interoperability of distributed medical datasets, tools for merging, analytical processing, and datamining
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