2017 Social Networks and Health Workshop: May 22nd through May 26th
Schedule:
| Monday, May 22nd | Tuesday, May 23rd | Wednesday, May 24th | Thursday, May 25th | Friday, May 26th |
| Fellows mini-conference | Descriptive Statistics (Molly Copeland) | Regression with networks- ego networks/ randomization (Brian Aronson) | Inference for networks- dyad model overview (Alex Volfovsky) | Siena models for selection & influence (David Schaefer) |
| Community detection (Peter Mucha) | ||||
| LAB- Descriptive Statistics (Jon Morgan) | Open Lab | Inference for networks- ERGMs (Zack Almquist) | LAB- Siena models (David Schaefer) | |
| Welcome/ introductions (Jim Moody) | IRB Discussion (Kathie Harris) | Respondent-driven sampling (RDS) (Ashton Verdery) | Causal inference (Weihua An) | Social Networks & Health: History and Open Problems (Jim Moody) |
| Data Collection (Jim Moody) | Network Canvas (Michelle Birkett) | Applications of networks- diffusion (Jake Fisher) | LAB- ERGM (Zack Almquist) | |
| Visualization (Jim Moody) | ||||
| LAB- Data Management (Jake Fisher) | LAB- Visualization (Jim Moody) | LAB- Diffusion Simulation (Jake Fisher) | Open Lab |
Workshop Materials:
Day 1-
Fellows mini-conference (Recordings unavailable)
- “Racial/ethnic differences in medical mistrust among breast cancer patients: What are the roles of network characteristics?” Yamile Molina, University of Illinois- Chicago (Slides)
- “Using Social Network Analysis to Inform HIV Prevention and Treatment Efforts in Tanzania” Marta Mulawa, Duke University (Slides)
- “Partner or Perish? Public Health Delivery Systems & Cancer Screenings for the Uninsured under the ACA” Jennie Law, Rockefeller College (Slides)
- “Examining the Dynamic Spread of Marijuana Use in a Social Network with Community Structure” Albert Burgess-Hull, University of Wisconsin-Madison (Slides)
Welcome/Introductions (Jim Moody, Duke University)
Data Collection (Jim Moody, Duke University)
LAB- Data Management (Jake Fisher, Duke University)
Day 2-
Descriptive Statistics (Molly Copeland, Duke University)
Community Detection (Peter Mucha, UNC Chapel Hill)
LAB- Descriptive Statistics (Jon Morgan, Duke University)
IRB Discussion (Kathie Harris, Add Health Director)
Network Canvas (Michelle Birkett, Northwester University)
Visualization (Jim Moody, Duke University)
LAB- Visualization (Jim Moody, Duke University)
Day 3-
Regression with networks- ego-networks/randomization (Brian Aronson, Duke University)
Respondent-driven sampling (RDS) (Ashton Verdery, Penn State University)
Applications of networks- diffusion (Jake Fisher, Duke University)
LAB- Diffusion Simulation (Jake Fisher, Duke University)
Day 4-
Inference for networks- Dyad model overview (Alex Volfovsky, Duke University)
Inference for networks- ERGMs (Zack Almquist, University of Minnesota)
Causal inference (Weihua An, Indiana University)
LAB- ERGM (Zack Almquist, University of Minnesota)
Day 5-
Siena models for selection & influence (David Schaefer, Arizona State University)
LAB- Siena models (David Schaefer, Arizona State University)
Social Networks & Health: History and Open Problems (Jim Moody, Duke University)
