Computational Health
We invite research contributions for the 26th World Wide Web Conference Computational Health Track.
Health and medicine are increasingly searched for, tracked, and delivered via digital means. One of the primary among these is the Internet. This represents opportunities to improve our health and the delivery of medicine, for example, by learning about aspects of people’s health that are difficult to otherwise track, by facilitating rapid collection and dissemination of time-critical medical data, and by providing novel interventions to improve health.
The newly-introduced health track at WWW2017 seeks to bring together advances in computer science with direct benefits to the medical and public health domains. The health track places a special emphasis on research with clear relevance to people’s health or health systems.
Papers submitted to the Computational Health track are expected to contain significant advances in computer science (machine learning, information retrieval, data mining, optimization, etc.) as well as in medicine or public health, or present a novel solution to a health problem enabled by computer science.
Topics of interest consist of four main themes:
PUBLIC HEALTH
- Disease detection and tracking
- Epidemiology
- Response to health emergencies
- Supporting public health policy decisions
- Health risk modeling and forecasting
IMPROVEMENT OF PERSONAL WELL-BEING THROUGH THE WEB
- Online health communities
- Identification of individual health status
- Online interventions
- Personal health monitoring
MOBILE HEALTH
- Wearable sensors
- Affective computing
- Personal care programs
- Quantified self
- Behavioural monitoring and behavioural change
CARE DELIVERY THROUGH THE WEB
Track Chairs
Contact: health-www-2017@googlegroups.com
- John Brownstein (Boston Children’s Hospital and Harvard Medical School)
- Elad Yom-Tov (Microsoft Research)
- Ciro Cattuto (ISI Foundation)
Program Committee
| Philip | Abdelmalik | Public Health Agency of Canada |
| Eyhab | Al-Masri | University of Waterloo |
| Alain | Barrat | CNRS |
| David | Buckeridge | McGill University |
| Rumi | Chunara | |
| Enrico | Coiera | |
| Ingemar | Cox | University College London |
| Aron | Culotta | Illinois Institute of Technology |
| Craig | Dalton | Flutracking.net |
| Jeff | Dalton | |
| Adam | Dunn | Centre for Health Informatics, Macquarie Univ |
| Noemie | Elhadad | |
| Luis | Fernandez-Luq | Qatar Computing Research Institute |
| David | Fisman | |
| Ran | Gilad-Bachrach | Microsoft Research |
| Bruno | Gonçalves | New York University |
| Emre | Kiciman | Microsoft Research |
| Vasileios | Lampos | University College London |
| Larry | Madoff | |
| Philip | Massey | Drexel University School of Public Health |
| Yelena | Mejova | Qatar Computing Research Institute |
| Ricardo | Mexia | Instituto Nacional de Saude Doutor Ricardo Jo |
| Elaine | Nsoesie | University of Washington |
| Daniela | Paolotti | ISI Foundation |
| Michael | Paul | University of Colorado Boulder |
| Nicola | Perra | |
| Luz | Rello | Carnegie Mellon University |
| Michal | Rosen-Zvi | IBM |
| Marcel | Salathé | |
| Maurizio | Santillana | |
| Samuel | Scarpino | University of Vermont |
| Alessio | Signorini | University of Iowa |
| Luca | Soldaini | Georgetown University |
| Scott | Teesdale | |
| Michele | Tizzoni | ISI Foundation |
| Alberto | Tozzi | |
| Andrew | Turpin | The University of Melbourne |
| Effy | Vayena | |
| Ingmar | Weber | Qatar Computing Research Institute |
| Bin | Zou | University College London |