Virtual Opening Workshop
9:00 am – 5:00 pm Eastern Daylight Time (New York)
Dates: January 5/11/12, 2021
Registration is now closed
Advances in theory, analysis, and new forms of data provide numerous opportunities that will be explored in the semester program on Data Science in the Social and Behavioral Sciences, starting with this virtual opening workshop, conducted virtually via Zoom. In preparation for this workshop, topic experts have prepared a set of pre-recorded didactic tutorial videos that provide background relevant to the semester program. The January workshop (January 5, 11 and 12) is organized around the following themes: (1) new forms and challenges in digital data; (2) SEMs, DAGs, and Causal Inference; and (3) networks in neuroscience, health, and information spread. The talks will be aimed at a broader audience and will discuss research opportunities and challenges. At the end of each day, there is time budgeted for participants to participate in preliminary discussion, formation and consolidation of possible working groups that will meet regularly during the semester program. The SAMSI program is open to all interested researchers, faculty, and students.
Featured Speakers:
Chris Bail (Duke University)
Jessica Cohen (University of North Carolina)
David Dunson (Duke University)
Emily Falk (University of Pennsylvania)
Charles Franklin (Marquette University)
Diego Fregolente (SAMSI)
Laura Germine (Harvard University)
Krista Gile (University of Massachusetts – Amherst)
Oscar Gonzalez (University of North Carolina)
Robert Groves (Georgetown University)
James Heckman (University of Chicago)
Sunshine Hillygus (Duke University)
Michael Hudgens (University of North Carolina)
Sam Jenness (Emory)
Eric Kolaczyk (Boston University)
Jon Krosnick (Stanford University)
David Lazer (Northeastern University)
Fan Li (Duke University)
Yu-Ru Lin (University of Pittsburgh)
Cam McIntosh (Government of Canada)
Sarah Muldoon (University at Buffalo)
Bengt Muthén (Mplus Software)
Jukka-Pekka Onnela (Harvard University)
Judea Pearl (University of California, Los Angeles)
Brea Perry (University of Indiana)
Sophia Rabe-Hesketh (University of California, Berkeley)
Paul Resnick (University of Michigan)
Ilya Shpitser (Johns Hopkins University)
Richard Troiano (U.S. Public Health Service)
Ashton Verdery (Pennsylvania State University)
Nina Yamanis (American University)
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Schedule and Supporting Media
Printable Schedule
Titles and AbstractsTuesday, January 5 (Virtual – All times Eastern Standard Time (NY))
Time Description Speaker 8:45 Welcome and Opening Remarks David Banks, SAMSI/Duke University
Co-Chairs: Ken Bollen and Peter Mucha, University of North CarolinaDigital Data Chairs: Santiago Olivella (UNC-CH), Peter Mucha (UNC-CH) 9-9:20 Using Bots and Linked Social Media Data to Study Political Polarization Chris Bail, Duke University 9:30-9:50 Wrist Accelerometer Data from the National Health and Nutrition Examination Survey Richard Troiano, U.S. Public Health Service 10-10:20 Dynamic Cognitive Assessment in Health and Disease Laura Germine, McLean Hospital, and Harvard 10:30-10:50 Smartphone-based Digital Phenotyping Jukka-Pekka Onnela, Harvard University 11-11:15 Break 11:15-1:15 2020 Electoral Polling Panel Discussion: What went wrong? What alternatives do we have? Chairs: Ken Bollen, Teresa Edwards, University of North Carolina
Panelists: Charles Franklin, Marquette; Sunshine Hillygus, Duke University; Jon Krosnick, Stanford University1:15-2:00 Break 2-3:15 Interview of Robert Groves,(Georgetown) Director of the 2010 United States Census. Interviewed by Ken Bollen, University of North Carolina 3:30-5:00 Working Group Formation Chairs: Ken Bollen (UNC-CH), Peter Mucha (UNC-CH) 5:00 Adjourn Monday, January 11 (Virtual – All times Eastern Standard Time (NY)
Chair: Ken Bollen (UNC-CH)
Time Description Speaker 8:45 Welcome and Opening Remarks Greg Forest, Ken Bollen, Peter Mucha (UNC-CH) SEMs, DAGs, and Causal Inference: Part 1 Chairs: Amy Herring (Duke), Zachary Fisher (UNC-CH) 9-9:20 A Regression Discontinuity Design for Ordinal Running Variables: Evaluating Central Bank Purchases of Corporate Bonds Fan Li, Duke University 9:30-9:50 Statistical Mediation Analysis from the Causal Inference and Structural Equation Modeling Perspectives Oscar Gonzalez, University of North Carolina 10-10:20 Identification and Estimation of Causal Parameters via a Modified Factorization of a Graphical Model Ilya Shpitser, Johns Hopkins University 10:30-10:50 Let’s Remain Flexible: Nonparametric Modeling in Causal Analysis Cameron McIntosh, Employment and Social Development, Canada 11-11:15 Break SEMs, DAGs, and Causal Inference: Part 2 Chairs: Ken Bollen (UNC-CH), Jean-Philippe Laurenceau (Delaware) 11:15-11:35 Causal Inference with Interference Michael Hudgens, University of North Carolina 11:45-12:05 Effect Estimation with Latent Variables Bengt Muthén, Mplus Software 12:15-12:35 SEM with Extensions to Multilevel and Non-continuous Data Sophia Rabe-Hesketh, University of California, Berkeley 12:45-1:05 Deep Understanding through Structural Equation Models (SEM) Judea Pearl, University of California, Los Angeles 1:15-2 Break SEMs, DAGs, and Causal Inference: Part 3 Chair: Ken Bollen (UNC-CH) 2-3:15 Econometric Causal Analysis James Heckman, University of Chicago 3:30-5:00 Working Group Formation Chairs: Ken Bollen, Peter Mucha (UNC-CH) 5:00 Adjourn Tuesday, January 12 (Virtual – All times Eastern Standard Time (NY))
Time Description Speaker Networks and Neuroscience Chairs: Alana Campbell, Peter Mucha (UNC-CH) 8:45-9:05 Quantitative Methods for Understanding Coalescence and Fragmentation in Dynamic Networks of Epileptic Seizures Eric Kolaczyk, Boston University 9:10-9:30 Social Networks and the Brain Emily Falk, University of Pennsylvania 9:35-9:55 Mapping Systems to Graphs: challenges of modeling neuroimaging data Sarah Muldoon, University at Buffalo 10-10:20 Structural Brain Connectomics: new mathematical representations & statistical inference methods David Dunson, Duke University 10:25-10:45 Network Neuroscience Insights into Developmental Disorders: Functional Brain Network Dysfunction in ADHD Jessica Cohen, University of North Carolina 10:50-11:15 Break Networks and Health Chairs: Jim Moody (Duke), Peter Mucha (UNC-CH) 11:15-11:35 Inference from Social Network Samples Ashton Verdery, Pennsylvania State University 11:40-Noon Leveraging Personal Social Network Data to Understand Social and Biological Mechanisms of Cognitive Aging Brea Perry, Indiana University 12:05-12:25 Statistical Approaches to Modeling Infectious Disease Epidemics across Temporal Contact Networks Sam Jenness, Emory University 12:30-12:50 Social Influence and Diffusion Effects on Men’s HIV Testing During a Randomized Controlled Intervention Trial in Tanzania Nina Yamanis, American University 12:55-1:15 Clustering Network Tree Data From Respondent-driven Sampling Krista Gile, University of Massachusetts 1:15-2:00 Break Information Spread Chairs: Peter Mucha (UNC-CH), Diego Fregolente (SAMSI) 2-2:20 Patterns of Sharing Fake News in 2016 and 2020 David Lazer, Northeastern University 2:25-2:45 Online Misinformation Consumption: the myth of typical consumers and eye appeal Yu-Ru Lin, University of Pittsburgh 2:50-3:10 Survey Equivalence: A Procedure for Measuring Classifier Accuracy Against Human Labels Paul Resnick, University of Michigan 3:15-3:35 Competition and Spreading of Low and High-Quality Information in Online Social Networks Diego Fregolente, SAMSI 3:45-5:00 Working Group Formation Chairs: Ken Bollen, Peter Mucha (UNC-CH) 5:00 Adjourn - Questions: email [email protected]