Schedule

Day 1: Wednesday, September 18, 2013

12h00–13h00 Registration Opens
13h00–13h15 Welcoming Remarks John Brownstein, Harvard Medical School, Boston Children's Hospital
Mark Smolinski, Skoll Global Threats Fund
13h15–13h45 Keynote Tim Campos, CIO, Facebook Watch Watch
13h45–14h15 Keynote Sean Gourley, TED fellow, Quid Watch Watch
14h15–15h15 Panel: Big data and predictive analytics: Moving beyond nowcasting
Moderator: David Buckeridge, McGill University
Ciro Cattuto, ISI Foundation
Nita Bharti, Stanford University
Eric Horvitz, Microsoft Research
David Fisman, University of Toronto
Watch Watch
15h15–15h45 Break
15h45–16h45 Rapid Fire Talks: Data mining Onicio Batista, CPqAM/FIOCRUZ, CIEVS Pernambuco: DDD in Brazil: National view on the use of social media in the detection of rumors and potential disease cases. Watch Watch
Jeannie Tey, Ministry of Health, Singapore: Use of social networking sites in surveillance of avian influenza A(H7N9) outbreak in 2013. Watch Watch
Stephane Suisse, Sanofi Pasteur: Social Media Intelligence in Diseases Tracking. Watch Watch
Zhuojie Huang, Center for Infectious Disease Dynamics, Pennsylvania State University: Location-based social network for disease surveillance. Watch Watch
Arash Shaban-Nejad, McGill University: A Formal Conceptual Model to Improve Context Awareness for Vaccine Sentiment Analytics
Donald Olson, Department of Health and Mental Hygiene: Translating digital epidemiology and disease modeling for local public health decision making
Brian Norris, Social Health Insights LLC: Tracking disease/disasters on twitter challenges and opportunities. Watch Watch
Ross Filice, U.S. Food and Drug Administration: DDD for Postmarket Safety Surveillance. Watch Watch
Alice Friaux, Epidemic Intelligence at ECDC: Epidemic Intelligence at ECDC. Watch Watch
Amy Kircher, National Center for Food Protection and Defense: Protecting your lunch through fusion and analytics. Watch Watch
Michael Paul, Johns Hopkins University: Understanding Cancer Patients Through Search Engine Query Logs. Watch Watch
Andrew Yates, Georgetown University: Detecting Adverse Drug Reactions in Social Media. Watch Watch
16h45–17h45 Panel: The Ethics of DDD
Moderator: Roger Glass, NIH
Effy Vayena, University of Zurich
Caitlin Rivers, Virginia Bioinformatics Institute at Virginia Tech
Clare Wenham, Aberystwyth University
Alessio Signorini, AchieveMint
Watch Watch
17h45–20h00 Tech Demos & Reception Ed Jezierski, InSTEDD: Verboice: An Interactive Voice Response (IVR) Tool for Participatory Surveillance
Alex Tyk, Barry Dauber and Rishab Ghosh, Topsy: Disease Monitoring Using Social Media
Jennifer Lin, Public Library of Science: PLOS Currents: Outbreaks — Findings the world can't wait to see
Jennifer Cockrill, U.S. Department of Defense: AFHSC-GEIS Respiratory Disease Dashboard
Uri Blackman, GIDEON
Nicholas Generous, Los Alamos National Laboratory: The Biosurveillance Resource Directory: A New Tool to Facilitate Information Exchange
Nigel Lightfoot, Connecting Organizations for Regional Disease Surveillance: Early Alerting and Reporting
David Wolking and Dharmaveer Shetty, University of California, Davis: PathFinder: A Toolkit for Zoonotic Disease Identification and Hazard Assessment
Daniel Tse, Palantir
Zeenah Haddad, Promed: ProMed Demo
Clark Freifeld, Boston Children's Hospital: MedWatcher
Sue Aman, Rachel Chorney, Boston Children's Hospital: HealthMap version 5.0
Erik Johnson, Boston Children's Hospital: Flu Near You


Day 2: Thursday, September 19, 2013

8h00–9h00 Breakfast
9h00–10h00 Rapid Fire Talks: Crowd Sourcing Daniela Paolotti, ISI Foundation: Building a Europe-wide web-based flu surveillance system: the Influenzanet participatory surveillance experience. Watch Watch
Jessica Schwind, University of California, Davis: Print is Not Dead: Why Surveillance and Digitization of Local Print Media Enhances Coverage of Digital Disease Detection Tools. Watch Watch
Carl Koppeschaar, Science in Action BV: Self-reported participatory surveillance for influenza and other diseases. Watch Watch
Patipat Susumpow, OPENDREAM: DoctorMe: Digital Personal Health Care in Thailand and Its Opportunity to Become New Participatory Surveillance Platform. Watch Watch
Michael Johansson, Centers for Disease Control and Prevention: Why should governments care about participatory surveillance? Watch Watch
Clark Freifeld, Boston Children's Hospital: MedWatcher: Crowdsourcing Postmarket Surveillance. Watch Watch
Court Corley, Pacific Northwest National Laboratory: The 2013 PNNL/DTRA Biosurveillance Mobile App Development Student Competition. Watch Watch
Niklas Noren, Uppsala Monitoring Centre: Outbreaks of drug-induced disease due to substandard or counterfeit medicines. Watch Watch
Sarah Henderson, British Columbia Centre for Disease Control: Can digital disease detection methods be applied to the question of environmental exposures? Watch Watch
Megan Hines, University of Wisconsin Madison: Cutting through the noise: Opening access to data from multiple channels for data-driven research, surveillance, and communication across disciplines. Watch Watch
Lauren Meyers, University of Texas, Austin: Goal-Oriented Optimization of Influenza Surveillance. Watch Watch
10h00–11h00 Panel: Give us your blood, sweat, tears
Moderator: Rumi Chunara, Harvard
Aaron Rowe, Scanadu
Nathan Wolfe, GVFI/Metabiota
Ed Jezierski, InSTEDD
Scott Layne, Alfred E Mann Foundation
Watch Watch
11h00–11h30 Break
11h30–12h30 Fireside Chat Maryn McKenna, Journalist, Author
Ann Marie Kimball, Bill & Melinda Gates Foundation
Larry Brilliant, SGTF
Wilawan Senaratana, Chiang Mai University
Watch Watch
12h30–14h00 Unconference-style Lunch Marjorie Greene, CNA: Fighting Pandemics with Social Networks
Stephen Moore, Public Health Ontario: Data to Action: Identifying Attributes That Make DDD Data Useful to Public Health Practitioners
Helen Cui, Los Alamos National Laboratory: Genomic Data Enhanced DDD
Jas Mantero, Doctors with Africa – CUAMM: Simple Technologies for DDD
Laura Streichert, International Society for Disease Surveillance: Integrating Digital Disease Detection into Public Health Practice
14h00–17h00 Workshops
Creating a DDD Curriculum to Enhance Epidemiology Education and Training Across the Globe Larry Madoff, ProMED
Marjorie Pollack, ProMED
Dionisio Herrara, Tephinet
Improving Influenza-Like Illness Surveillance Using DDD Lyn Finelli, Centers for Disease Control and Prevention
Julie Pavlin, U.S. Department of Defense
Using DDD to Better Understand and Improve Vaccine Coverage Angus Thomson, Sanofi Pasteur
Marcel Salathe, Penn State University
Bruce Gellin, U.S. Department of Health and Human Services
17h00–19h30 Reception ESRI-sponsored reception aboard the Empress Hornblower


Day 3: Friday, September 20, 2013

8h00–9h00 Breakfast
9h00–12h00 Workshops (continuation from Day 2)


Workshops

Thursday, September 19, 2013, 14h00–17h00 & Friday, September 20, 2013, 9h00–12h00
Attendees may select one of the following workshops to attend.

Creating a DDD Curriculum to Enhance Epidemiology Education and Training Across the Globe
Digital disease detection continues to grow and evolve and is spurring exciting new research. Structured training curriculum for this ever-changing field, however, has not found its way into our education and training programs for epidemiology and public health professions on the front lines of responding to emerging disease threats. This workshop is for DDD innovators to develop a 'core' curriculum for DDD to be used by field epidemiologists and public health workers across the globe. The group will explore potential structures and approaches for implementing such training, as well as how to keep the material current as the field continues to evolve.
Download the agenda

Improving Influenza-Like Illness Surveillance Using DDD
Many efforts and advances in digital disease detection are related to influenza-like-illness. With so many technologies collecting data on a similar set of symptoms, we would like to explore potential areas for collaboration and further innovation. Multiple tools focused on detecting and tracking the flu may provide opportunities to fuse data to generate more robust signals. This workshop is for innovators in ILI detection to share best practices, identify challenges and strengthen this rapidly growing community of practice.

Using DDD to Better Understand and Improve Vaccine Coverage
Questions and beliefs about vaccines often spread virally on the Internet and social media. The public health community is concerned about parents delaying or opting out of some or all vaccines for their children and the resulting in outbreaks of pertussis and measles in many communities, to name just two examples. The question arises as to whether digital disease detection methodologies and tools can be applied to better understand the origins of vaccine hesitancy for individuals and in communities and how information/misinformation affects vaccine decision-making and may be resetting the social norm. This workshop is for innovators to discuss when, if, and how, digital detection efforts can be applied to this growing public health challenge.