Call for Papers
Health on the Web
We invite research contributions to the Health on the Web Track at the 29th edition of the Web Conference series (formerly known as WWW), to be held April 20-24, 2020 in Taipei, Taiwan (https://www2020.thewebconf.org/).
Health and medicine are increasingly searched for, monitored, and delivered digitally. 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 monitor, by facilitating rapid collection and dissemination of time-critical medical data, and by providing novel interventions to improve health.
This track was first introduced at WWW 2017 as “Computational Health”, and is known now as the Health on the Web Track. The track seeks to bring together advances in Internet-related computer science with direct benefits to the medical and health domains. The Health on the Web Track places a special emphasis on research showing how the Web can improve people’s health, or provide better healthcare delivery.
We welcome three types of submissions to the Health on the Web Track:
- Papers with significant advances in computer science (including, but not limited to, machine learning techniques, information retrieval, natural language processing, causal inference, data mining, optimization), as applied to Health or Medicine on the Web.
- Papers with significant advances in Health, utilizing existing state-of-the-art computational techniques, for example, by presenting a novel solution to a health problem enabled by computer science.
- Reports on significant lessons learned from a real-world deployment of medicine or health-related Web technology.
All accepted papers will be published in the main conference proceedings. All submissions will undergo rigorous peer review by the Health on the Web Track program committee, which includes both Health- and Computer Science- experts.
The research topics covered in the Health track, include, but not limited to:
- Public health techniques on the Web
- Online disease detection and monitoring
- Syndromic surveillance
- Response to health emergencies
- Supporting public health policy decisions
- Health risk modeling and forecasting
- Web-enabled health care delivery
- Online health communities
- Disease diagnosis / identification of individual health status
- Telehealth interventions
- Personal health monitoring and adherence
- Patient engagement
- Applied data analytics
- Personal health in the online world
- Wearable sensors
- Mobile health
- Affective computing
- Personal care programs
- Quantified self
- Behavioral monitoring and change
Eugene Agichtein , Emory University, and Amazon
Tim Althoff , University of Washington
Bill Hersh , Oregon Health & Science University