The HarambeeNet workshop will be held July 8-9, 2010 at Duke University in
the Department of
Computer Science. The workshop will introduce topics, tools, and
methods from the modeling and analysis of social networks as a way of
motivating computer science. Educators will work with the presenters to
refine modules on social network modeling and analysis for use in their
Call for Participation in the HarambeeNet Workshop
Social Networks as an Introduction to Computer Science
An NSF-Supported Workshop
Duke University, Durham, NC
The HarambeeNet project seeks to bring together educators to build the community necessary to establish alternative introduction to computing centered around the science of networks. The primary means of developing, testing, and disseminating the new model will be via the diverse social and professional networks of the educators that attend the workshops, participate in the faculty learning community, and serve on the advisory board.
Our goal is to develop modules that will be incorporated into existing courses in math, statistics, computer science, sociology, economics, and related fields. We have drafted a module on community structure in networks centered around the following question: "Based on co-authorship data for Duke professors in the natural sciences and engineering can one detect communities defined by departmental boundaries?" This module engages many different topics, fields, and algorithms. For example, the module presents different definitions for centrality and community structure, discusses why community structure is important, and guides students through the description of different algorithms for detecting communities.
In this workshop, the project staff will provide an overview of the project. In the context of network science problems, the workshop will cover the relevant background material in social networks, mathematics, statistics, and sociology, as well as computer science. After reviewing some of the tools, data sources, and materials we have adapted or developed for this project, participants will collaborate to adapt and refine modules for use in their courses.
|Last updated Tue Mar 08 13:07:16 EST 2011|