Conference on Big Data in Population Health Sciences

Attendance is full and registration is now closed; we cannot accommodate walk-in attendees, This event is co-presented by the Perelman School of Medicine's Department of Biostatistics, Epidemiology and Informatics; Center for Statistics in Big Data; Institute for Biomedical Informatics; Penn Center for Precision Medicine; and Center for Clinical Epidemiology and Biostastistics; and by the Penn Center for Cancer Care Innovation at the Abramson Cancer Center. AGENDA FOR SEPT. 23 8 A.M. Registration and breakfast8:45 A.M. Opening remarks9 A.M. EHR, Medicare Data and Large Electronic DatabasesDavid Madigan, PhD, Columbia UniversityLarge-Scale Evidence Generation in a Network of DatabasesJinbo Chen, PhD, University of PennsylvaniaAn Estimating Equation-Based Approach to Accounting for Case Contamination in EHR-Based Case-Control StudiesMitesh Patel, MD, MBA, MS, University of PennsylvaniaUsing Nudges in the Electronic Health Record to Improve Health Care11 A.M. Big Data in Health Care Policy and Clinical DecisionsZiad Obermeyer, MD, University of California, BerkeleyWho Is Tested for Heart Attack, and Who Should Be? Using Machine Learning to Understand and Improve Physician DecisionsAmol Navathe, MD, PhD, University of PennsylvaniaChallenges in Applying Predictive Analytics to Clinical Decisions12 P.M. Lunch1:30 P.M. mHealth, Digital Health and Social MediaLyle Ungar, PhD, University of Pennsylvania:Understanding Health Behaviors Using Social Media LanguageIan Barnett, PhD, University of PennsylvaniaNeural Networks for Clustered and Longitudinal DataRosalind Picard, ScD, FIEEE, Massachusetts Institute of TechnologyHow Mobile Phones and Wearables Can Improve Mood, Stress and Health3:30 P.M. Biobanks in Genetics ResearchXihong Lin, PhD, Harvard UniversityEmpowering GWAS Analysis Using Surrogate Phenotypes in BiobanksMarylyn Ritchie, PhD, University of PennsylvaniaThe Power of Electronic Health Records for GenomicsNilanjan Chatterjee, PhD, Johns Hopkins University,Leveraging Big Data in Genetic Risk Prediction and Causal Inference5 P.M. Reception and poster sessionAGENDA FOR SEPT. 248 A.M. Breakfast9 A.M. Big Data in Biomedical Imaging and NeurosciencesDaniel Rueckert, PhD, Imperial College, LondonA new frontier — UK Biobank, Machine Learning & Artificial IntelligenceRussell T. Shinohara, PhD, University of PennsylvaniaBig Data and Imaging StatisticsLi Shen, PhD, University of PennsylvaniaBrain Imaging Genomics — Integrated Analysis and Machine Learning11 AM. Big Data, Reproducibility and PrivacyBradley Malin, PhD, FACMI, Vanderbilt UniversityBig Privacy for Big PopulationsCasey Green, PhD, University of PennsylvaniaStrategies to Study Rare Diseases with "Big Data"12 P.M. Lunch1 P.M. Big Spatial Data in Population Health StudiesLance Waller, PhD, Emory UniversityZoonotic Surveillance of Plague via Point Processes in Geographic and Principal Components SpaceCharles Branas, PhD, Columbia UniversityPromises and Pitfalls of the Geographic Health DatapaloozaDouglas Wiebe, PhD, University of PennsylvaniaExamples of Big Data in Injury Science3 P.M. Wearable Device DataVadim Zipunnikov, PhD, Johns Hopkins University Monitoring Health Behaviors with Mobile TechnologiesGeorge Demiris, PhD, FACMI, University of PennsylvaniaSmart Homes and Smart Communities to Support Aging — the Potential of Behavioral Sensing Data4 P.M.Concluding remarks