Schweik, Charles M.
Associate Professor, NRC and Center for Public Policy and Administration
Associate Director, National Center for Digital Government
Co-Director and founder, UMass Amherst Open Source Laboratory
413-545-1824
217 Holdsworth Hall
E-Mail: cschweikcschweik(at)pubpol.umass.edu
Links: Selectedworks CV (pdf)
Primary Interests
My research focus is on public sector information technology, environmental management and policy, and the intersection of these domains.
Current Projects
- Study of Internet-based open source and open content collaboration
- Co-Director and founder, UMass Open Source lab
- Applications in Internet-based collaboration or other government-related Web 2.0 initiatives
- The Open Research System (ORS) – developing web services for metadata and data sharing
- The Urban Ecology Collaborative
- A web-based collaboration system for non-industrial private forest owners (Acorn)
- City of Boston Carbon Calculator – a collaborative project between the City of Boston, USDA Forest Service, The Urban Ecology Collaborative at Boston College, Davey Inc., and us at UMass (NCDG and NRC)
Recent Courses Taught
- Introduction to Geographic Information Systems (NRC 592G/PPA 697) (Active – Fall 2009)
- Information Technology in the Public and Nonprofit Sectors (PPA 631/NRC 697I) – Spring 2009.
- NRC297S Introduction to Spatial Technologies – Spring 2009 (on UMass’ SPARK system)
- Spring 2007. On-line course on Open Source Geographic Information Systems. Participants from several different countries, including Nigeria, Uganda, Brazil, and the United States. Most of the course material is available at the OSgeo.org educational inventory page.
Selected Recent Publications
- Open-Source Collaboration: Two Cases in the U.S. Public Sector
- Reflections of an Online Geographic Information Systems Course Based on Open Source Software
- Modeling human-environmental systems
- "Brooks' versus Linus' Law: An Empirical Test of Open Source Projects
- Retrieving Land-Cover Change Information from Landsat Satellite Images by Minimizing Other Sources of Reflectance Variability
