Global Health & AI Challenge - Organized by DLSPH & Vector Institute

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Health Sciences Building

155 College Street

Room 507

TORONTO, ON M5T 3M7

Canada

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HOW WILL YOU AND YOUR TEAM USE AI TO SOLVE SOME OF THE MOST COMPLEX GLOBAL HEALTH CHALLENGES? REGISTRATION DEADLINE DEC. 8TH, 2019

About this Event

The Global Health & AI Challenge, a partnership between the Dalla Lana School of Public Health and Vector Institute will engage students in critical dialogue and problem-solving scenarios on some of the most complex global health challenges of our time. The top ten threats to global health in 2019 include the climate crisis and air pollution; noncommunicable diseases; an impending influenza pandemic; fragile settings; antimicrobial resistance; high-threat pathogens; inadequate primary health care; vaccine hesitancy; the growing threat of dengue; and the HIV epidemic . All threats to global health exist due to complex, interrelated economic, political, social, environmental, and historical factors, and thus demand creative, interdisciplinary and intersectoral solutions. Technological innovations and interventions such as AI offer the potential to disrupt these complex threats, and teams will be tasked with developing solutions that harness the power of AI and machine learning.

***REGISTRATION DEADLINE IS DECEMBER 8TH, 2019. SPOTS ARE LIMITED***

Global Health & AI Challenge Objectives

  1. Offer students local, accessible experiential and entrepreneurial learning opportunities in global health
  2. Enhance student learning outcomes around ethical design thinking, communication, problem solving, innovation, and applying technical skills and AI
  3. Expand students’ knowledge of the complexity of global health threats and the application of AI-related methodologies and their limitations
  4. Facilitate student networking and career exploration opportunities

What to expect?

  • Join a multi-disciplinary team of students to select and tackle a global health challenge.
  • Apply principles of ethical design thinking to prototype solutions using AI and machine learning.
  • Access an expert team advisor for additional mentorship and guidance.
  • Compete to win a team prize of a $500 honorarium, the opportunity to present your solution to relevant stakeholders (may include investment partners, organizations or leading experts), $100 gift cards to App Store and iTunes

Who can participate?

The Global Health & AI Challenge will be open only to current University of Toronto graduate students. Students will be able to sign up individually or in pairs and will then be matched up with students from other programs to ensure teams are multidisciplinary.

Teams must include at least one student studying in each of the following programs:

  • Dalla Lana School of Public Health (DLSPH), including Public Health Sciences & IHPME
  • STEM programs such as Computer Science and Engineering
  • Rotman School of Management

Graduate students pursuing other programs of study are also encouraged to apply along with a brief statement of interest of no more than 250 words. The optimal number of multidisciplinary teams for this year will be between 6-10, with 4-6 participants on each team. Students will be able to sign up individually or in pairs and will then be matched up with students from other programs to ensure teams are multidisciplinary. There will be a $25 fee for each student to sign up.

***REGISTRATION DEADLINE IS DECEMBER 8TH, 2019. SPOTS ARE LIMITED***

Timeline

  • December 8th - deadline for students to apply as individuals or in pairs
  • December 16th - during this week participating students will be invited to a kickoff introduction event to meet their teammates from other programs.
  • January 12th - Teams will submit their initial global health problem identification proposal
  • Mid January/Early February - Teams will be invited to professional development workshops focused on global health & AI, design thinking and ethics to apply to their own global health challenge
  • February - Each team will be assigned expert team advisor to meet with to provide additional mentorship and guidance.
  • March 21st - All teams will present their global health challenge and solutions to a panel of judges and stakeholders.

For more information please contact ghoffice.dlsph@utoronto.ca

#GHAIChallenge #GlobalHealthDLSPH #VectorInst

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Date and Time

Location

Health Sciences Building

155 College Street

Room 507

TORONTO, ON M5T 3M7

Canada

View Map

Refund Policy

Contact the organizer to request a refund.

Eventbrite's fee is nonrefundable.

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