Elizabeth Conlisk

Dean of Natural Science, Cognitive Science and Critical Social Inquiry and Professor of Public Health

Natural Science

eacNS@hampshire.edu

Mail Code NS

Elizabeth Conlisk

Cole Science Center 308A

413.559.5519

Elizabeth Conlisk, dean of the Natural Science, Cognitive Science and Critical Social Inquiry, and professor of public health, received her B.A. from the University of Notre Dame and M.S. and Ph.D. in epidemiology from Cornell University. She has a wide range of public health experience at local, state, national, and international agencies, including the North Carolina Department of Health, the Centers for Disease Control and Prevention, and the Instituto de Nutricion de Centro America y Panama in Guatemala.

Professor Conlisk teaches classes in epidemiology, statistics, public health, and topics that lie at the intersection of culture and biology. Her research focuses on cancer prevention, especially cervical cancer screening in Latin America. She has served on the Hampshire Board of Trustees and as the director of the Five College Program in Culture, Health and Science, an interdisciplinary certificate program for students interested in the socio-political and biologic bases of health.

Recent and Upcoming Courses

Statistics and Experimental Design
This course is an introduction to descriptive and inferential statistics with examples drawn primarily from the fields of medicine, public health, and ecology. The approach is applied and hands-on; students are expected to complete two problem sets each week, collect and analyze data as a class, and design and carry out their own examples of each analysis in four review exercises. We cover description, estimation and hypothesis testing (z-scores, t-tests, chi-square, correlation, regression, and analysis of variance). More advanced techniques such as multi-way ANOVA and multiple regression are noted but not covered in detail. We also discuss the role of statistics in causal inference though the emphasis of the course is on practical applications in design and analysis. The course text is The Basic Practice of Statistics by David S. Moore; students use the statistical package Minitab to conduct data analyses.
Field Study Semester
Special Projects