dg.o 2006 Tutorials - Abstracts, CFP's, and Schedules
Research for Effective Government"
What are dg.o Tutorials?
dg.o tutorials, first introduced at dg.o 2005, are half-day presentations offering deeper insight into the scientific and government domains, research topics or methods, technologies or field experience of veteran Digital Government researchers.
dg.o 2006 Tutorial Titles and Fee Schedule
| Fee Schedule for Tutorials | |||
Before Conference |
On Site |
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| If attending dg.o 2006 | If not attending dg.o 2006 |
If attending dg.o 2006 |
If not attending dg.o 2006 |
$100 |
$150 |
$150 |
$200 |
| Note: Prices are listed in U.S. Dollars | |||
On site conference registration begins May 21, 2006
| Fee Schedule for Tutorials: * FULL-TIME GRADUATE STUDENTS | |
Before Conference |
On Site |
$60.00 |
$90.00 |
*Please fax proof of full-time status to:
Academic and Research Conference Services, Ltd. Attn: Priscilla Rasmussen FAX: +1-570-476-0860 |
|
| Note: Prices are listed in U.S. Dollars | |
Sunday Afternoon - May 21, 2006
Fighting Fear of a Bioterrorism Event with Information Technology: Real-World Examples and Opportunities(Canceled)Service-oriented Architecture (SOA) in Digital Government(Canceled)
Wednesday Afternoon - May 24, 2006
- Application of Social Network Analysis in Digital Government Research
User-Centric Developments in eGovernment in a Period of Fast Technological Change(Canceled)Usage Scenarios for Information Sharing in a Data Grid(Canceled)
Call for Participation for dg.o 2006 Tutorials and Schedules:
Wednesday Afternoon - May 24, 2006
Tutorial Title:
Application of Social Network Analysis in Digital Government Research
Date: May 24, 2006 (Wednesday afternoon – time: TBD)
Tutorial Organizer’s name and email address:
Ines Mergel
Kennedy School of Government
Harvard University
Email: ines_mergel@harvard.edu
Speakers:
David Lazer, Ines Mergel (Harvard University)
Noshir Contractor (University of Illinois at Urbana-Champaign)
Timothy Huerta (Texas Tech University/University of British Columbia)
Overview:
Social network analysis is a developing paradigm in academia, business and also in private lives. It spins across all kinds of academic disciplines, such as communication, sociology, anthropology, psychology, organization studies or political sciences. It helps to map and measure of relationships and communication or resource flows between people, groups, organizations, computers or other entities.
Target & Goals:
The target audience of the tutorial “Application of Social Network Analysis in Digital Government Research” is any researcher interested in the theory and analysis of relationships between computer networks, organizational and institutional actors.
This tutorial is intended to give an overview of the existing theories, a brief introduction into the analysis of network data using a common tool called UCInet and into different visualization methods. Moreover, specific applications for digital government researchers are presented.
Goal:
This tutorial is intended to give an overview of the existing theories, a brief introduction into the analysis of network data using a common tool called UCInet and into different visualization methods. Moreover, specific applications for digital government researchers are presented. A Q&A session will end the tutorial, in which researchers can address their specific research needs.
We will use existing, well-known and often reanalyzed data to show the relevance of social network analysis in different fields of application. In addition, we will use our own data from different studies in the area of Digital Government to show the relevance of the method and enhance the understanding of social network analysis.
After this tutorial, attendees will be able to analyze their own data using social network analysis techniques. The lecturers will submit a list of introductory readings and Internet resources on Social Network Theory and Analysis.
Brief bio of the presenters
Prof. David Lazer
David Lazer is an Associate Professor of Public Policy at the Kennedy School of Government, Harvard University and teaches classes on Social Network Analysis. David is the Associate Director and Co-Principal Investigator of the National Center for Digital Government, a NSF funded research center, and founder and Director of the Program for Networked Governance, and faculty chair of the Cambridge Colloquium on Social Networks and Complexity (see http://www.ksg.harvard.edu/complexity). His research focuses on how networks at a variety of levels (inter-personal, inter-organizational, and inter-national) affect the functioning of systems.
For more information, resume, and a list of publications see:
http://www.ksg.harvard.edu/netgov/html/people_lazer_d.htm
Contact:
David Lazer
Kennedy School of Government
Harvard University
Email: david_lazer@harvard.edu
Dr. Ines Mergel
Ines Mergel is a Postdoctoral Fellow and the Research Director of the Program on Networked Governance, which is located at the Kennedy School of Government, Harvard University. She has recently finished her dissertation with the title: “The influence of multiplex network ties on the diffusion of eLearning techniques – A social network analysis”. She holds a PhD from the University of St. Gallen, Institute of Management, in Switzerland and a Master of Business Administration from the University of Kassel, Germany. In her research, she focuses on the impact of social network relationships in the diffusion of innovative technologies from a Social Sciences perspective in different empirical settings, such as the Members of Congress, DNA Forensic Scientists, and State Health Officials.
Ines will be responsible for the second part of the tutorial and will give an introduction on Social Network Analysis techniques, different visualization techniques and software applications for the analysis of relational data.
For more information, resume, and a list of publications see:
http://www.ksg.harvard.edu/netgov/html/fellows_mergel_i.htm
Contact:
Ines Mergel
Kennedy School of Government
Harvard University
Email: ines_mergel@harvard.edu
Prof. Noshir Contractor
Noshir Contractor (www.uiuc.edu/ph/www/nosh) is a Professor in the Departments of Speech Communication and Psychology at the University of Illinois at Urbana-Champaign. He is Director of the Science of Networks in Communities (SONIC) Research Group at the National Center for Supercomputing Applications, and Co-Director of the Age of Networks Initiative at the Center for Advanced Study at the University of Illinois at Urbana-Champaign. His research is investigating factors that lead to the formation, maintenance, and dissolution of dynamically linked knowledge networks among profit, non-profit, government as well as non-government agencies involved in areas of public interest including emergency response, public health, and environmental engineering.
Contact:
Noshir Contractor
University of Illinois at Urbana-Champaign
Email: nosh@uiuc.edu
Dr. Timothy Huerta
Dr. Huerta holds a dual appointment with the Rawls College of Business at Texas Tech University, as well as a research appointment with the British Columbia Child and Family Research Institute. He received his Ph.D. from the University of Southern California in Public Administration, focusing on Organizational Behavior, Organization Theory and public management. Drawing on formal training in both system dynamics modeling and network analysis, his research focuses on the creation and proliferation of interorganizational networks among health services researchers and practitioners. He has developed substantial evaluation metrics for measuring cross-disciplinary research networks currently in use to study the Web-Assisted Tobacco Intervention (WATI) community of practice initiative and the North American Tobacco Harm Reduction Network, sponsored by the US National Cancer Institute and HealthCanada.
Contact:
Timothy R. Huerta
Email: tim.huerta@ttu.edu
Online Material:
Please visit our resource pages on http://www.ksg.harvard.edu/netgov/html/sna.htm and http://www.ksg.harvard.edu/netgov/html/colloquia_complexity_courses_dgo2005.htm with last year’s tutorial including presentations.
Selected Publications:
Borgatti, S. P., Everett, M. G., & Freeman, L. C. 2002. Ucinet for Windows: Software for Social Network Analysis, 6.39 ed. Harvard: Analytic Technologies.
Galaskiewicz, J., & Wasserman, S. 1994. Advances in social network analysis: Research in the social and behavioral sciences. Thousand Oaks.
Hanneman, R. A. 2001. Introduction to Social Network Analysis.
Scott, J. 1991. Social Network Analysis: A Handbook. London.
Wasserman, S., & Faust, K. 1994. Social network analysis: methods and applications. Cambridge: Cambridge University Press.
Attendance
All invited tutorials will take place at dg.o 2006 on either Sunday, May 21 or Wednesday, May 24. Tutorials without a minimum of eight registered participants will be canceled.
A final assessment of registration status and cancellation decisions will be made on May 15, 2006, one week before the conference begins.
Facilities
The conference will provide an LCD projector and screen, podium and microphone, and a mid-session beverage break. We will also deliver printed and bound copies of slide presentations (or other printed materials) used in support of the presentations.