Health on the Web

Invitation and dates

We invite research contributions to the Health on the Web Track at the 28th edition of the Web Conference series (formerly known as WWW), to be held May 13-17, 2019 in San Francisco, United States (

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.

The track, Computational Health, was first introduced at WWW 2017, 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.

Papers submitted to the Health on the Web Track are expected to contain significant advances in computer science (machine learning, information retrieval, causal inference, data mining, optimization, etc.) as well as in medicine or health, present a novel solution to a health problem enabled by computer science, or report on significant lessons learned from a real-world deployment of medicine or health-related Web technology. Accepted papers will be published in the conference proceedings. All submissions will undergo rigorous peer review by the Health on the Web Track program committee.

Topics include (but are not limited to)

  • Public health techniques on the Web
    • Online disease detection and monitoring
    • Syndromic surveillance
    • Epidemiology
    • Response to health emergencies
    • Supporting public health policy decisions
    • Health risk modeling and forecasting
  • 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


Abstract submission deadline
Oct 29 2018
Full paper submission deadline
Nov 05 2018
Acceptance notification
Jan 21 2019

All submission deadlines are end-of-day in the Anywhere on Earth (AoE) time zone.

Track Chairs

  • Ingemar J. Cox University College London, United Kingdom
  • Emre Kıcıman Microsoft Research, United States



Program committee

  • Adam Dunn Macquarie University
  • Alessio Signorini Evidation Health
  • Allan Hanbury Vienna University of Technology
  • Amit Sharma Microsoft
  • Andrey Rzhetsky University of Chicago
  • Bin Zou University College London
  • Daniela Paolotti ISI Foundation
  • David Buckeridge McGill University
  • Elaine Nsoesie University of Washington
  • Emma Pierson Stanford University
  • Graciela Gonzalez University of Pennsylvania
  • Henning Müller HES-SO
  • Jina Huh Michigan State University
  • Joyce Ho Emory University
  • Karin Verspoor University of Melbourne
  • Kirk Roberts University of Texas at Dallas
  • Lewis Mitchell University of Adelaide
  • Luca Soldaini Amazon
  • Luis Fernandez Luque Qatar Computing Research Institute
  • Marinka Zitnik Stanford University
  • Michael Paul University of Colorado Boulder
  • Mitchell Gordon Stanford University
  • Nicola Perra University of Greenwich
  • Philip Abdelmalik World Health Organization
  • Philip Massey Drexel University School of Public Health
  • Ran Gilad-Bachrach Microsoft
  • Rumi Chunara New York University
  • Samuel Scarpino University of Vermont
  • Sandra Servia-Rodríguez University of Cambridge
  • Stevie Chancellor Georgia Institute of Technology
  • Ugur Kursuncu Kno.e.sis Center - Ohio Center of Excellence in Knowledge-enabled Computing
  • Vasileios Lampos University College London
  • Yelena Mejova Qatar Computing Research Institute

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