The main scope is on current scientific developments and innovative techniques in urban computing, bringing to light methods from computer science, social sciences, statistics, urban planning, health care, civil engineering, anthropology, geography, and other fields that directly address urban problems using computer-based strategies.
Readings will be drawn from law, computer science, social sciences, literature, and art and media studies.
The integration is based on multi-disciplinary theoretical and modeling approaches including Geographic Information Science, civil and transportation engineering, computer science, social media and communication.
Achieving our research and educational mission requires the interdisciplinary collaboration of scholars with expertise in information and computer science, social sciences, the humanities, law, policy, and design.
However, in the more research-led older universities, only about half the tutorials in some subjects, such as computer science, social studies and business studies, were taught by academics.
ATDP's SD offers 6-week enrichment and accelerated academic courses in writing, fine arts, languages, math, computer science, social science, and natural science for students completing grades 7-11.
Clustering is frequently used to analyze data in many diverse fields such as the life and medical sciences, computer sciences, social sciences, economics and engineering.
The interest of computer scientists for aggregation methods is witnessed by the fact that judgment aggregation is now among the topics of computational social choice, an interdisciplinary discipline that promotes exchanges and interactions between computer science and social choice theory.
Social engineering is deeply entrenched in the fields of both computer science and social psychology.
This broad, multidisciplinary project brings together expertise in computer science, statistics, social science, law, policy, and data management to build tools to enable the collection, analysis, and sharing of social science research data while protecting the privacy of individual subjects.
R. Stuart approaches this topic from a number of disciplinary angles, integrating fields like computer science, information science, social psychology, and organization/management science with fields like philosophy, sociology, and history of science and technology.
