Search Results
Chris Lombardo
Computational Challenges in Environmental Epidemiology: Embedding Spatial Data Science, Mobile Health Technology, and Deep Learning into Prospective Cohort Studies : CRCS Social Impact Seminar Series
The places in which we live, work, play, and age influence our health behaviors, our mental health, our cognitive function, and our chronic disease risk. However, the majority of research on spatial factors and health has relied on residential addresses to assign exposure, questionnaire data to measure health behaviors and health outcomes, and coarse and nonspecific indices to estimate exposure to spatial factors. Recent technological advances have provided opportunities to overcome these limitations.
Peter James
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Science and Engineering Complex (SEC) LL2.224
Master's in Data Science - Degree Requirements
The following requirements apply to the SM degrees in Data Science. Note that the term "course" refers to a typical Harvard semester-length course, i.e., a 4-credit FAS course or its equivalent. 2-credit courses such as AC 298r count as "half of a course" in the context of these requirements. Degre...
Environmental Science & Engineering - Concentration Information
Environmental Science & Engineering is an interdisciplinary field that applies principles from other branches of engineering, the natural sciences, and mathematics to better understand and address environmental challenges. Students interested in environmental science and engineering study t...
