Location
222 College Street in Toronto, Ontario
Dates
  • July 3, 2014 (all day)
  • July 4, 2014 (all day)

Transdisciplinary Big Data for Health Workshop designed to create, discover, and leverage new synergies across disciplines at the University of Toronto.

Open to scientists who

  • work with deep data (‘omics’, laboratory, clinical, environmental, etc.),
  • analyze, mine broad (community-wide) electronic medical/health data, administrative (transactional) records and population registries, or
  • work in computer science or physics, or with statistical techniques that are not necessarily limited by traditional biomedical or epidemiological considerations.

The purpose of the workshop is to offer a bird-eye view of Big Data for Health initiatives at the international, provincial, and local levels to stimulate the creation of new collaborative modalities, partnerships and ways to reach new levels of health research.

Registration

Registration is limited to 70 participants and granted on a first-come, first-serve basis.

Website: http://www.stage.utoronto.ca/event/big-data-for-health

Keynote Speakers

  • Rick Glazier, Primary Care and Population Health Program, ICES
  • Peter C. Goodhand, The Global Alliance for Genomics and Health
  • Astrid Guttmann, Health System Planning and Evaluation Program, ICES
  • Thomas J. Hudson, Ontario Institute for Cancer Research

Condensed Agenda

July 3

5:30 pm – 9:30 pm

Keynote speaker sessions and buffet dinner.

July 4

8:00 am – 5:00 pm

Short presentations, discussions and networking opportunities.

Breakfast and lunch provided.

Location

The Fields Institute for Research in Mathematical Sciences

222 College Street in Toronto, Ontario.

Organizers

Dr. David Henry

Dr. Prabhat Jha

Dr. France Gagnon

Dalla Lana School of Public Health and Faculty of Medicine, University of Toronto

Acknowledgements

This workshop has been made possible thanks to the generous funding support of the Dalla Lana School of Public Health and of the Fields Institute for Research in Mathematical Sciences.