2023 SN&H Workshop

 

Social Networks and Health 2023

Stream Links:

Day 1: https://youtube.com/live/sfE7bv_lPhY?feature=share

Day 2: https://youtube.com/live/eXbC-TDMft0?feature=share

Day 3: https://youtube.com/live/-GrZec2O7Ho?feature=share

Day 4: https://youtube.com/live/G8yCzLKBSjQ?feature=share

Day 5: https://youtube.com/live/tavUs5ci1cU?feature=share

 Monday 15Tuesday 16Wednesday 17Thursday 18Friday 19
9:00 Jimi Adams:Panel on Network InterventionsJames MoodySam Jenness
9:30 Modalities and Pragmatics in data collectionTom ValenteReview/Intro statistics on networksEpidemic Disease Model Sim
10:00 Craig Rawlings:Yamile MolinaJames MoodyMoody/DNAC
10:30 Social Balance, Children, VideoNina YamanisNew Features of ERGM 4.0Agent Based Models
10:45 CoffeeCoffeeCoffeeCoffee
11:00 Moody:Panel on Network ExperimentsThomas WolffPeter Cho, Jessilyn Dunn
11:30 Implications of Missing dataSharique Hasan: Field ExperimentsERGM for Ego nets & Bipartite graphsWearables for Data Collection
12:00 Brea PerryAshley Harrell: Lab ExperimentsCarter Butts:Summary Q&A session
12:30 Network data collection  Simulations of Network Models 
1:00WelcomeLUNCH: DNAC CrewLunch:Dana Pasquale:Lunch: Robin Dodsworth 
1:30James MoodyOpen Discussion on Ethical IssuesData ArchivingLinguistic Networks  
2:00Networks & Health ReviewAshton VerderyCraig RawlingsAlex Volfovsky 
2:30 RDS/Link DataPeer Influence ModelsLatent Spaces & Causal Effecs 
2:45CoffeeCoffeeCoffeeCoffee 
3:00DNAC RAJames MoodyAshton VerderyDavid Schaefer 
3:30Coding in R for SNAWhat’s the best community detection method?Simulating Kinship NetworksSiena Models 
4:00 Peter MuchaJames MoodyScott Duxbury 
4:30Gabriel Varela & Kieran Lele: IDEANetProper Community Detection via CHAMPRelational Block ModelsRelational Event Models 
5:00Stump the ChumpsStump the ChumpsStump the ChumpsStump the Chumps

Lecturers and RAs:

James Moody, Director of Duke Network Analysis Center and Professor of Sociology, Duke University

Jimi Adams, Professor of Health & Behavioral Sciences, University of Colorado Denver

Carter Butts, Chancellor’s professor in the Departments of Sociology, Statistics, Computer Science, and EECS, University of California, Irvine

Peter Cho, Department of Biomedical Engineering, Duke University

Bernard Coles IV, Department of Sociology, Duke University

Robin Dodsworth, Department of English, NC State University

Jessilyn Dunn, Department of Biomedical Engineering, Duke University

Scott Duxbury, Department of Sociology, University of North Carolina at Chapel Hill

Ashley Harrel, Department of Sociology, Duke University

Sam Jenness, Department of Epidemiology, Emory University

Yamilé Molina, Division of Community Health Sciences, University of Illinois at Chicago

Jon Morgan, Department of Sociology, Duke University

Peter Mucha, Department of Mathematics, Dartmouth College

Kieran Lele, Department of Data Science and Sociology, Duke University

Dana Pasquale, Department of Population Health Sciences, Duke University

Brea Perry, Indiana University

Craig Rawlings, Professor of Sociology at Duke University

David Schaefer, University of California at Irvine

Liann Tucker, Department of Sociology, Duke University

Tom Valente, Department of Preventive Medicine, University of Southern California

Gabriel Varela, Department of Sociology, Duke University

Ashton Verdery, Department of Sociology and Criminology, Penn State

Alex Volfovsky, Professor of Statistical Science, Duke University

Thespina Yamanis, Associate Professor and Chair of the International Development Program, American University

Tom Wolff, Department of Sociology, Duke University

Funding for the Social Networks and Health workshop is provided by NIH grant R25HD079352

 

Day 1:

Networks & Health Review (James Moody, Duke University)

Coding in R for SNA (Liann Tucker, Duke University)

IDEANet (Gabriel Varela and Kieran Lele, Duke University)

Day 2:

Modalities and Pragmatics in data collection (jimi adams, UC Denver)

Social Balance, Children, Video (Craig Rawlings, Duke University)

Implications of Missing Data (James Moody, Duke University)

Network data collection (Brea Perry, University of Indiana Bloomington)

RDS/Link Data (Ashton Verdery, Penn State)

What’s the best community detection method? (James Moody, Duke University)

Proper Community Detection via CHAMP (Peter Mucha, Dartmouth College)

Day 3:

Panel on Network Interventions-

Field Experiments (Sharique Hasan, Duke University)

Lab Experiments (Ashley Harrell, Duke University)

Data Archiving (Dana Pasquale, Duke University)

Peer Influence Models (Craig Rawlings, Duke University)

Simulating Kinship Networks (Ashton Verdery, Penn State)

Relational Block Models (James Moody, Duke University)

Day 4:

Review/Intro statistics on networks (James Moody, Duke University)

New Features of ERGM 4.0 (James Moody, Duke University)

ERGM for Ego nets & Bipartite graphs (Thomas Wolff, Duke University)

Simulations of Network Models (Carter Butts, UC Irvine)

Linguistic Networks (Robin Dodsworth, NC State)

Latent Spaces & Causal Effects (Alex Volfovsky, Duke University)

Siena Models (David Schaefer, UC Irvine)

Relational Event Models (Scott Duxbury, UNC Chapel Hill)

Day 5:

Epidemic Disease Model Sim (Sam Jenness, Emory University)

Agent Based Models (James Moody, Duke University)

Wearables for Data Collection (Peter Cho and Jessilyn Dunn, Duke University)