Conference details
Training workshop
Research teams
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Chiang Mai Conference on Partnership Networks (February 2000)
Invited Presentations: The Research Teams
The central presentations of the conference will be by
six research teams
with long-standing empirical projects involving network
data. Most focus on the role of partnership networks in HIV epidemiology,
but others focus on migration and adolescent health.
The invited presentations will instead consist of a series of 2 hour
sessions that focus on a single research project. There will be no
competing sessions, and there will be reasonable breaks between sessions.
Our intention is to broaden the usual focus of discussion to include the
actual conduct of the research, as well as the findings. Network
analysis requires changes in sampling, questionnaire design, interviewer
training, and data preparation, as well as analysis. In many ways,
the field is still quite young. Given the variety of network survey
designs, the virtual absence of training in network methods in most disciplines,
and the scarcity of empirical projects to collect network data, much research
methodology is learned and invented on the fly. The aim of this conference
is to record what has been learned by the teams here.
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The presentations will focus on the motivation for each project, what worked
(and didn't work) in terms of survey design and data collection, and the
findings that most clearly represent the insight gained from taking a network
approach. We are hoping that the sessions will be fairly interactive.
The idea is to make this more of a shop session than a lecture, as the
audience will be fairly sophisticated.
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Each team will also prepare a paper for distribution at the conference.
The collection of papers will later be assembled in an edited volume.
This will be a source book for other researchers who want to understand
the motivations, methods and contributions of network analysis to the study
of structured population dynamics. We expect the primary audience
for this book to be demographers, epidemiologists, network analysts, and
modelers interested in the population dynamics of disease, migration, and
diffusion more generally.
Research Team Descriptions
Invited Papers |