Past Events
Contagion Science Seminar Series: Rounak Meyur
Frameworks for Realistic Modeling and Analysis of Power Grids
Global Pervasive Computational Epidemiology Seminar Series: Anirudh Sridhar
Finding Super-spreaders in Network Cascades
Global Pervasive Computational Epidemiology Seminar Series: Chirag Kumar
From Modeling to Practice: Outcomes from Modeling-Informed COVID-19 Mitigation Strategies for Effective Outbreak Prevention during the Tokyo and Beijing Olympic and Paralympic Games
Global Pervasive Computational Epidemiology Seminar Series: Fabio Sanchez
Adapting connections: integrating adaptive behavior into epidemiological multilayer network models
Global Pervasive Computational Epidemiology Seminar Series: Johanna Lindahl
One Health, Food Safety, Food Security, and AMR-complexity and Tradeoffs
Contagion Science Seminar Series: Negin Alemazkoor
Fast, Online, and Efficient Computational Tools for Smart and Resilient Infrastructure Systems
Global Pervasive Computational Epidemiology Seminar Series: Lenwood Heath & Jinyi Zhang
Adaptive Group Testing Strategy for Infectious Disease Using Social Contact Graph Partition
Global Pervasive Computational Epidemiology Seminar Series: Adi Gundlapalli
The COVID-19 Pandemic: Public Health Surveillance in the Setting of Evolving Data Needs
Biocomplexity Institute Fall 2023 Semi-Annual Research Meeting
This 2-Day Event will be held Oct 19 – 20, 2023.
Thurs Oct 19 12:30AM – 7:00PM ET
Fri Oct 20 9:30AM – 3:00PM ET
Global Pervasive Computational Epidemiology Seminar Series: Baltazar Espinoza
Modeling Social Complexity in Epidemiology: Risk Perception and Adaptive Human Behavior
Global Pervasive Computational Epidemiology Seminar Series: Josh Colston
The Planetary Child Health and Enterics Observatory (Plan-EO): an Interdisciplinary Research Initiative and Web-Based Dashboard for Mapping Enteric Infectious Diseases and their Risk Factors and Interventions in Low- and Middle-Income Countries
Data Science for the Public Good Symposium 2023: Keynote Speaker Marc Ruggiano
Healthy Choices: Understanding and influencing health decision-making to improve health, increase equity, and improve performance.
Data Science for the Public Good Distinguished Speaker Series: Seema Iyer
Strengthening the Refugee-Supporting Ecosystem by Focusing on the "Public" within Data Science for Public Good
Global Pervasive Computational Epidemiology Seminar Series: Linsey Marr
An Engineering Perspective on Airborne Transmission of COVID-19
Global Pervasive Computational Epidemiology Seminar Series: Michela Meister
Containing the Spread of Contagion on a Tree
Data Science for the Public Good Distinguished Speaker Series: Katherine Ensor
Community Analytics and the Value of University/City Partnerships
Global Pervasive Computational Epidemiology Seminar Series: Sriram Pemmaraju
Computational Epidemiology for Healthcare-Associated Infections
Global Pervasive Computational Epidemiology Seminar Series: Mami Taniuchi
Environmental surveillance for SARS-CoV-2 and Other Pathogens in Dhaka, Bangladesh, for Public Health Impact
Global Pervasive Computational Epidemiology Seminar Series: Geoffrey Fox
AI Benchmarks and Time Series
Global Pervasive Computational Epidemiology Seminar Series: Nita Madhav
Using Computational Epidemiology to Predict the Frequency and Scale of Future Epidemics
Data Science for the Public Good Distinguished Speaker Series: Ravi Shankar Chaturvedi
The Forces Shaping the Digital Planet and Our Journey from a Physical Past to a Digital Future
Social and Decision Analytics Seminar Series: Jing Cao
Multiple Instance Classification with Attention Block for Word-level Sentiment Analysis
Global Pervasive Computational Epidemiology Seminar Series: Natarajan Meghanathan
Neighborhood-based Bridge Node Centrality Tuple for Complex Network Analysis
Global Pervasive Computational Epidemiology Seminar Series: David Higdon
Bayesian Model Calibration for Constraining Agent-Based Models
Social and Decision Analytics Seminar Series: Jonathan Wynn Smith
Preparing Space-Based Observations for Comparisons with Climate Models
Modelling SARS-CoV-2 Immuno-Epidemiology, Vaccination, and Invasion Dynamics of New Variants
Speaker: Chadi M. Saad-Roy
Global Pervasive Computational Epidemiology Seminar Series: Katriona Shea
Uncertainty and the Management of Outbreaks: Harnessing the Power of Multiple Models
Data Science for the Public Good Symposium 2022: Keynote Speaker Joseph Salvo
Better Data and Measurement for Local Public Policy Decisions
Social and Decision Analytics Seminar Series: Dr. Marlène Koffi
Innovative Ideas and Gender Inequality
Global Pervasive Computational Epidemiology Seminar Series: Sandeep Juneja
Shift, Scale, and Restart Smaller Models to Estimate Larger Ones: Agent-Based Simulators for COVID Modeling
Social and Decision Analytics Seminar Series: Madeline Pickens
Public Data, Public Good, Personal Information: Techniques and Challenges
Global Pervasive Computational Epidemiology Seminar Series: Lauren Marks, Sunny Sharma, Rebecca West, and Kenneth Davis
Increasing COVID Vaccine Uptake in Sub-Saharan Africa: A Multidisciplinary Approach
Data Science for the Public Good Distinguished Speaker Series: Sarah Nusser
Promoting the Reusability of Shared Data
Social and Decision Analytics Seminar Series: Dr. Sherry Towers
Predicting and Preventing Extremist Violence with the Power of Quantitative and Visual Analytics
Global Pervasive Computational Epidemiology Seminar Series: Samarth Swarup
A Framework for Modeling Complex Human Behaviors in Epidemic Simulations
Global Pervasive Computational Epidemiology Seminar Series: Richard Hatchett
Two Years Before the Mast: Reflections on the Late Pandemic
Global Pervasive Computational Epidemiology Seminar Series: David Swerdlow
Role of Modeling During Epidemic Responses - View From Public Health, Industry, and Academia
Global Pervasive Computational Epidemiology Seminar Series: Arnaud Bataille
Presentation of the EU Project Livestock Disease Surveillance Knowledge Integration (LIDISKI)
Global Pervasive Computational Epidemiology Seminar Series: Alessandro Vespignani
Computational Epidemiology at the Time of COVID-19
Global Pervasive Computational Epidemiology Seminar Series: Steven Zeichner
Towards Rapid Vaccine Development & Deployment
Global Pervasive Computational Epidemiology Seminar Series: Simon Levin
COVID-19 and Challenges to the Classical Theory of Epidemics
Global Pervasive Computational Epidemiology Seminar Series: Maia Majumder
Machine Learning Research Applications During the COVID-19 Pandemic
Global Pervasive Computational Epidemiology Seminar Series: Chadi Saad-Roy
Modeling SARS-CoV-2 Immuno-epidemiological Dynamics
How Forecasts Inform COVID-19 Policy
Open panel discussion and Q&A with Virginia Department of Health officials and University of Virginia Biocomplexity Institute researchers
Social and Decision Analytics Seminar Series: Caitlin D. Wylie
Equity in Practice: How Technicians, Students, and Communities Contribute to Scientific Research
Data Science for the Public Good Distinguished Speaker Series: Dr. Sana Syed and Dr. Thomas Hartka
Physician Data Scientists: Wearing Two Hats, The Why and How of Applying Data Science to Medical Research
Global Pervasive Computational Epidemiology Seminar Series: Rebecca Powell Doherty
Immunopeptidomics: A Personalized Medicine Approach to Antigen Discovery, Characterization, and Treatment of Autoimmune Inflammatory Disease
Global Pervasive Computational Epidemiology Seminar Series: Aniruddha Adiga
All Models Are Useful: Bayesian Ensembling for Robust High-Resolution COVID-19 Forecasting
Global Pervasive Computational Epidemiology Seminar Series: Judy Fox
HySec-Flow: Privacy-Preserving Hybrid Computing Model
Global Pervasive Computational Epidemiology Seminar Series: Aravind Srinivasan
Controlling Epidemic Spread Through Stochastic Networks
Data Science for the Public Good Symposium 2021: Keynote Speaker Jeri Mulrow
Topic: Enabling Data Science to Do Public Good: Are We Making an Impact?
Global Pervasive Computational Epidemiology Seminar Series: Mark Orr
Behavior Matters, Whatever Next: Computational Psychology for Computational Epidemiology
Exploring Biocomplexity with Dr. Christian Reidys
Introducing Tristance: A Striking Discovery in the Mathematical Biocomplexity of Genomic Surveillance
DATA: Access, Creation, and Maintenance of Data and Computing Resources
This 2-Day Event will be held May 12 – 13, 2021.
Wed May 12 11:00AM – 3:30PM ET
Thurs May 13 11:00AM – 3:30PM ET
Global Pervasive Computational Epidemiology Seminar Series: Stephen Eubank
Perturbative Approximations to Stochastic Satisfiability Problems
Global Pervasive Computational Epidemiology Seminar Series: Anuj Mubayi
Ecological Complexity, Thresholds, and Risk Tradeoff in the Dynamics of Neglected Vector-borne Diseases
Data Science for the Public Good Distinguished Speaker Series: Hadley Wickham
dplyr: one language, many implementations
Global Pervasive Computational Epidemiology Seminar Series: Jiangzhuo Chen
Efficient Vaccination in Volatile Pandemic
Global Pervasive Computational Epidemiology Seminar Series: Rajesh Sundaresan
Optimal Design of Serosurveys for Disease Burden Estimation
Data Science for the Public Good Distinguished Speaker Series: Vicki Vasques
The Role for Data in Successfully Navigating a Woman-Owned Small Business
Global Pervasive Computational Epidemiology Seminar Series: Wilfred Ndifon & Lavanya Singh
Searching for COVID-19 Patients in a Hypercube
Exploring Biocomplexity with Distinguished Institute Professor Dr. Michael Waterman
Mathematics and Biology Case Study #1: Search
Global Pervasive Computational Epidemiology Seminar Series: Jeffrey Townsend
Optimal COVID-19 Quarantine and Testing Strategies
Exploring Biocomplexity with Distinguished Institute Professors Dr. Daniel Rosenkrantz and Dr. Richard Stearns
Fireside chat geared towards students and early career faculty
Global Pervasive Computational Epidemiology Seminar Series: Anil Vullikanti
Controlling Epidemics on Networks: A Game Theoretical Perspective
Social and Decision Analytics Seminar Series: Shane Reese
Moving Glacially: Lessons from two Remote Regions on Human Vulnerability
Global Pervasive Computational Epidemiology Seminar Series: Xinwei Deng
Modeling and Active Learning for Experiments with Quantitative-Sequence Factors
Global Pervasive Computational Epidemiology Seminar Series: Jure Leskovec & Serina Chang
Mobility Network Models of COVID-19 Explain Inequities and Inform Reopening
Global Pervasive Computational Epidemiology Seminar Series: Adam Sadilek
Machine-Learned Epidemiology
Data Science for the Public Good Distinguished Speaker Series: Shamina Singh
Building the Field of Data Science for Social Impact
Global Pervasive Computational Epidemiology Seminar Series: Ramanan Laxminarayan
Epidemiology and Transmission Dynamics of COVID-19 in two Indian States
Global Pervasive Computational Epidemiology Seminar Series: Jeffrey Townsend
The Duration of Immunity Following COVID-19 Infection
Global Pervasive Computational Epidemiology Seminar Series: Kathleen Alexander
Transforming Landscapes and the Ecology of Scale - Understanding Disease Emergence at the Human-Wildlife-Environmental Interface
Global Pervasive Computational Epidemiology Seminar Series: Naren Ramakrishnan
Automatic Extraction of Epidemiological Line Lists for Open Sources
Data Science for the Public Good Symposium 2020: Keynote Speaker Kenneth Prewitt
The 2020 Census: End of the Line?
Global Pervasive Computational Epidemiology Seminar Series: B. Aditya Prakash
Deep Learning Data-Driven Approaches for Epidemic Forecasting
Global Pervasive Computational Epidemiology Seminar Series: Abhishek Pandey & Alison Galvani
Projecting Hospital Utilization and Assessing Implications of Silent Transmission during the COVID-19 Outbreak in the United States
Global Pervasive Computational Epidemiology Seminar Series: Rita Colwell
Climate, Oceans, and Human Health: Cholera as a Paradigm for Predicting Infectious Diseases
Global Pervasive Computational Epidemiology Seminar Series: Simon Levin & Dylan Morris
Optimal, Near-Optimal, and Robust Epidemic Control
Data Science for the Public Good Distinguished Speaker Series: Mark Hansen
Fascinating Revelations
Data Science Speaker Series: Behnaz Moradi
Detecting Communities and Performing Statistical Inferences on Networks through Renewal Non-backtracking Random Walks
Data Science for the Public Good Distinguished Speaker Series: danah boyd
Data: Its Vulnerabilities and Legitimacy
Datapalooza 2019 with Keynote Speaker Sallie Keller
Doing Data Science in Service of the Public Good
Colloquium: Saikou Diallo
We're Are All in It Together: Training the Next Generation of Model Thinkers
Data Science for the Public Good Distinguished Speaker Series: Katharine Abraham
Informing Decisions while Protecting Privacy: The Future of the Federal Statistical System
Data Science for the Public Good Symposium 2019: Keynote Speakers Phil Bourne and Ron Jarmin
Responsible Data Science and the 2020 Census
Data Science for the Public Good Distinguished Speaker Series: Martin O'Malley
Smarter Government: The Data, the Map, and the Method