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NSF's Highest Honor For New Faculty Fosters Integration Of Research And Education

ng is developing realistic, biologically based computer models of cognitive processes in the mammalian brain. His model focuses on the brain circuits and cellular mechanisms of working-memory formation in the prefrontal cortex. Working memory is the storage and manipulation of information during the performance of a task. Along with this research, Wang is enhancing the traditional physics curriculum, helping to develop courses in computational neuroscience and developing interactive computational teaching tools for use in undergraduate neuroscience courses. Such teaching tools may be used in physiology and biochemistry courses.

Noah F. Gans
Professor, The Wharton School
University of Pennsylvania
Telephone Call Centers: Human Factors in the Management of Queueing Systems
Management scientist Noah Gans is studying telephone call centers and other high-volume service operations. These types of operations are representative of many features of the new service economy, in which production, though based on a technologically advanced infrastructure, is fundamentally reliant on human service encounters. To better account for the human element of these systems, the research is integrating models and findings from the behavioral sciences with conventional approaches from more traditional operations research. The research is expected to offer new insights into the economics of service operations and contribute to their improved performance. Gans' research and teaching will promote students' understanding of how human factors should be included in the management of service systems.

Angela Calabrese-Barton
Assistant Professor, Program in Science Education
Teacher's College, Columbia University
Science Teaching and Learning in Economically Disadvantaged Urban Areas
Angela Barton will conduct ethnographic research among homeless persons, using extensive field observations and interviews with students and teachers. Q
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Contact: Lee Herring
kherring@nsf.gov
703-306-1070
National Science Foundation
25-Jan-1999


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