2019 SNH Workshop

2019 Social Networks and Health Workshop: May 13th – May 17th 

Schedule:

Monday, May 13thTuesday, May 14thWednesday, May 15thThursday, May 16thFriday, May 17th

Fellows mini-conference

Talk 1

Talk 2

Talk 3

Talk 4

Network Data Collection (Craig Rawlings)Ego-Network analysis (Brea Perry)Statistical Models for Networks (James Moody)Siena Models for Selection & Influence (David Schaefer)
R Lab continued (Maria Cristina)Ego Network Lab (Brea Perry)Diffusion Models & Peer Influence (James Moody)Siena Lab (David Schaefer)
IRB Discussion (Kathie Harris)Network Canvas (Michelle Birkett)Respondent-Driven Sampling (Ashton Verdery)Electronic Medical Records (Jeff Lienert)SNH Keynote (Rich Rothenberg)
Introduction to SNH: Key Concepts & Overview (James Moody)Whole Network Descriptive Stats (Molly Copeland)Community Detection Lecture and Lab (Peter Mucha)Network Experiments (James Moody)
Diffusion & ERGM/Stat Lab (Brian Aronson) 
R Lab- Data entry, organization, management, and cleaning (Maria Cristina)Descriptive Stats Lab (Molly Copeland)Visualization (James Moody)
Visualization Lab (James Moody)

Workshop Materials:

Pre-workshop-

Day 1-

Fellows Mini-Conference:

  • Social Networks of Youth and Young People Who Misuse Prescription Opiods and Heroin; Alia Al-Tayyib, University of Colorado (Lecture)
  • Networks of People Who Use Opiods Nonmedically: Reports from Rural Southern Illinois; Jerel Ezell, University of Chicago (Lecture, Slides)
  • Arrest Networks and the Spread of Violent Victimization; Daniel Ragan, University of New Mexico (Lecture, Slides)
  • Differentiating Between Network Structure and Network Function; Bonnie Bui, Tulane University (Lecture, Slides)

IRB Discussion (Kathie Harris, UNC Chapel Hill)

Introduction to SNH: Key Concepts and Overview (James Moody, Duke University)

R Lab- Data entry/organization/management/cleaning (Maria Cristina, Duke University)

Day 2-

Network Data Collection (Craig Rawlings, Duke University)

R Lab, continued (Maria Cristina, Duke University)

Network Canvas (Michelle Birkett, Northwestern University)

Whole Network Descriptive Statistics (Molly Copeland, Duke University)

Descriptive Statistics Lab (Molly Copeland, Duke University)

Day 3-

Ego-Network Analysis (Brea Perry, Indiana University)

Ego Network Lab (Brea Perry, Indiana University)

Respondent-Driven Sampling (Ashton Verdery, Penn State)

Community Detection (Peter Mucha, UNC Chapel Hill)

Community Detection Lab (Peter Mucha, UNC Chapel Hill)

Visualization (James Moody, Duke University)

Visualization Lab (James Moody, Duke University)

Day 4-

Statistical Models for Networks (James Moody, Duke University)

Diffusion Models & Peer Influence (James Moody, Duke University)

Electronic Medical Records (Jeff Lienert, University of Pennsylvania)

Network Experiments (James Moody, Duke University)

Diffusion & ERGM/Statistics Lab (Brian Aronson, Duke University)

Day 5-

Siena Models for Selection & Influence (David Schaefer, UC Irvine)

Siena Lab (David Schaefer, UC Irvine)

SNH Keynote (Rich Rothenberg, Georgia State University)