Center for Spatially Integrated Social Science (CSISS) Summer Workshop
Program and Participant Scholarships
Registration and scholarship applications are invited for participation
in the following CSISS-sponsored workshops. The application deadline is
20 May 2000, but early submissions are encouraged and early acceptances
and awards may be made. All successful applicants will be notified by 25
May. Application procedures and detailed information on workshop content
and format will be found at http://www.ncgia.ucsb.edu/CSISS/workshops
Information on accommodations will be provided with notice of acceptance
and announcement of scholarship awards.
CSISS is funded by the National Science Foundation under its program of
support for infrastructure in the social and behavioral sciences. It is
located at the University of California, Santa Barbara, and its programs
focus on the methods, tools, techniques, software, data access, and
other services needed to promote and facilitate a novel and integrating
approach to social science.
Bayesian Perspectives on Spatial Analysis in the Social Sciences
Topics covered: Markov Chain Monte Carlo Analysis, Network Analysis and
Random Graph Modeling; use of WINBUGS and UCINET software.
Instructors: Michael Ward (Political Science, workshop coordinator),
Julian Besag (Statistics), Martina Morris (Statistics and Sociology),
and guest presenters from a range of social and statistical sciences.
Co-sponsor with CSISS and host institution: The Center for Statistics
and the Social Sciences, University of Washington
19-23 June 2000, Seattle WA
Multiagent Spatial Modeling
Topics covered: Use of Java and C++ for developing simulation programs,
representing space, and handling geographic models; creating multiple
agents to act in geographic space; enabling agent change through
adaptive learning and evolutionary computation, collecting and
visualizing statistics based on multiple runs; and evaluation of
existing programs and research. No programming experience is needed,
however familiarity with Windows environment and World Wide Web is
Instructor: Nicholas Gessler workshop coordinator (Anthropologist,
Humanities Computing, and Department of Geography, UCLA). Guest
speakers: Steven Bankes (Evolving Logic Associates and Rand Corp.),
Catherine Dibble (Geography, UCSB), Jonathan Gratch (Information
Sciences Institute, USC), and Alex Singer (Integrated Media Systems,
Co-sponsor with CSISS and host institution: Center for Computational
Social Science and Social Informatics and the Department of Design and
Media Arts, University of California, Los Angeles
24-28 July 2000, Los Angeles CA
An Introduction to Spatial Pattern Analysis in a GIS Environment
Topics covered: Introduction to GIS, pattern statistics and measures of
spatial pattern, point-pattern software, research and developments in
spatial pattern analysis, and exploratory spatial data analysis. No
prior experience in spatial analysis is required.
Instructors: Arthur Getis (Geography, workshop coordinator) and John R.
Weeks (International Population Center) at San Diego State University,
Michael Goodchild (CSISS, University of California Santa Barbara), and
Lauren Scott (Environmental Systems Research Institute)
Host Institution: CSISS, University of California, Santa Barbara
14-18 August 2000, Santa Barbara CA
Interuniversity Consortium on Political and Social Research Summer
CSISS is offering scholarships to assist registrants in the following
workshops sponsored by ICPSR. Apply to register for these workshops
through ICPSR. See www.icpsr.umich.edu/sumprog/S2000/ for details and
requirements, or contact Hank Heitowit (hank@...
ICPSR Summer Program. Apply for scholarships through CSISS (instructions
Introduction to Spatial Data Analysis
Topics covered: Spatial data visualization and exploration, analysis of
clusters and point patterns, global and local indicators of spatial
autocorrelation, variogram analysis, and introduction to spatial
regression analysis, SpaceStat software. Prior familiarity with
multivariate statistics and basic concepts of probability theory, and
some knowledge of desktop GIS software, expected of participants.
Instructor: Luc Anselin, University of Illinois, Urbana-Champaign Host
Institution: ICPSR and the University of Illinois
May 22-26, Urbana-Champaign IL
Spatial Regression Analysis
Topics covered: Spatial econometrics, incorporating spatial effects in
regression models, maximum likelihood and other estimation methods for
spatial regression models, specification searches in spatial regression
analysis, and implementation of spatial regression analysis in standard
software packages. Participant background in intermediate regression
analysis or intermediate econometrics, and familiarity with introductory
spatial data analysis, expected.
Instructor: Luc Anselin, University of Illinois, Urbana-Champaign
Host Institution: ICPSR, University of Michigan
August 14-18, Ann Arbor MI
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