Enhancing data capture in health research using digital technology

Enhancing data capture in health research using digital technology

By The London School of Hygiene & Tropical Medicine

Date and time

Fri, 20 Nov 2015 13:00 - 17:00 GMT

Location

John Snow Lecture Theatre (A)

Keppel Street London WC1E 7HT United Kingdom

Description

Advancements in health research are increasingly dependent upon the use of digital technology to perform large-scale data collection and analysis. This workshop brings together health practitioners from across several disciplines to discuss new and evolving methods for data-driven research and the technologies available.

Each presenter will provide a case study of a specific project, describing the methods and technologies that were applied, motivation for taking the chosen approach, and challenges that were addressed. They will also offer advice for others wishing to apply similar methods in their own research.

The workshop focuses upon three themes:

1. Data collection using mobile devices

  • Mobile-based experience sampling for behaviour research - Neal Lathia, University of Cambridge
  • Co-ordinating large-scale data collection in the field - Keith Tomlin, LSHTM

2. Crowdsourcing in health research

  • MyHeart Counts: Assessing cardiovascular health through automatic activity monitoring - Dario Salvi ,University of Oxford
  • Internet-based surveillance of illness: the Flusurvey platform - Clare Wenham & Sebastian Funk
  • i-Sense: an early-warning sensing systems for infectious diseases – TBC

3. Applying web-based services to health research

  • Determining the relationship between physical environment and weight status using Google Maps - Keti Glonti
  • Examples of crowd sourcing and high resolution satellite imagery to clean and create spatial datasets - Chris Grundy

Attendees will also be given the opportunity to discuss their data collection plans and concerns during the refreshment break and panel session.

Audience: Useful for researchers and data managers who are applying, or wish to apply, technology-based data collection methods in their research.

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