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The Duke Network Analysis Center (DNAC) and the Duke Population Research Institute, with support from the  NICHD, will be hosting the fifth, week-long Social Networks and Health workshop from May 11 – 15, 2020.  The program from last year is available online and general registration will go live in March.

We are writing now to invite applications for Fellowships to the workshop.

Fellows will participate in the week-long training course, but also be matched with a mentor to work on an ongoing research project that the fellow has proposed. All participation costs (including domestic travel and lodging expenses to come to Duke) for SN&H fellows will be covered by the program.  There is additional funding fellows can access throughout the year to travel to meetings and otherwise support research meetings with their program mentor. SN&H fellows must commit to presenting the results of their project at next year’s workshop.  Due to NIH policy, we can only consider applications from US citizens or permanent residents and can only cover domestic travel costs.

SN&H Fellowships will be primarily targeted at pre-doctoral students, post-docs and junior faculty and is open to participants both in the triangle and across the nation. Women, individuals from underrepresented minority groups, and disabled individuals are strongly encouraged to apply.

To apply for an SN&H fellowship, we need two things.  First, please send an email with your CV and a brief (not more than two pages) description of research project you propose to work on over the year to snhtrain@soc.duke.edu by Feb 22, 2020.  Second, fill out the short demographic background survey.

Feel free to contact me (jmoody77@soc.duke.edu) if you have any questions.

The Social Networks and Health workshop will cover topics in social network analysis related to studying health behaviors, including:

  • Data collection
  • Ego network analysis
  • Diffusion and peer influence
  • Communities in networks
  • Respondent-driven sampling
  • Network visualizations
  • Statistical Models for networks (ERGM, AMEN, SOAM)
  • Agent-based modeling

The workshop will also contain a substantial lab component, which will give attendees an opportunity to learn how to use the R statistical computing language to analyze networks.  Last year’s presentations and labs are available online.

We can waive the registration fee for a limited number of participants from universities without means to cover the costs or scholars under-represented in the SN&H field, please contact Moody to inquire.

 

James Moody
Robert O. Keohane Professor of Sociology
Founding Director, Duke Network Analysis Center
Duke University

1022 International Affairs Building (IAB)
Mail Code 3308  
420 West 118th Street
New York, NY 10027
Ph: (212) 854-3680
Fax: (212) 854-0749
Business Hours:
Mon–Fri, 9:00 a.m.–5:00 p.m.

1022 International Affairs Building (IAB)

Mail Code 3308

420 West 118th Street

New York, NY 10027

Ph: (212) 854-3680
Fax: (212) 854-0749
Business Hours:
Mon–Fri, 9:00 a.m.–5:00 p.m.
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