Please see the official page for this event here: https://ai4ph-hrtp.ca/ai4ph-summer-institute/ . 

The Artificial Intelligence for Public Health (AI4PH) Training Platform is a CIHR funded, Pan-Canadian Health Research Training Platform (HRTP). In its first year of a 6-year program, AI4PH is working to deliver a comprehensive set of skills and experiences at the intersection of artificial intelligence (AI), Public Health and Health Equity. The 'digital divide' between public health and the private sector is becoming a chasm. Without training programs such as this, we cannot ensure future public health practitioners are just as able to wield large, complex databases as their private-sector colleagues data for public health action. We are working to empower graduate, postdoctoral, and early career trainees and public health professionals with the knowledge to understand the role of AI and the technical skills to apply ethically-informed AI to real public health issues. The vision of AI4PH Training Platform is to enable skill development and capacity for artificial AI and machine learning (ML) innovations in public health research and practice that have a critical focus on equity and disease prevention. We are offering training for AI applications that will address health inequities and support learners in developing a critical understanding of AI technologies' impact on health inequities. In addition, we focus on building capacity and supporting implementation for applications that support the prevention of poor health outcomes and address the social determinants of health. The Summer Institute is one training component, in addition to the summer institute the program has scholarships, internships, mentorships, workshops and short courses that are the basis of a certification program (under development). Summer Institute & Annual Meeting The Summer Institute is dedicated to advancing equity-focused training in AI applications for public health. The target audience for the Summer Institute is senior doctoral students, postdoctoral fellows, and early career researchers. The emphasis is on trainees and researchers in public health domains such as health law, health policy, epidemiology, health promotion and ethics. Researchers from computational disciplines with an interest in applications in public health are also a focus of the program. The Annual Meeting is our key networking event and capacity-building meeting which allows trainees to network with, and learn from each other and the platform's faculty as well as engaging with the broader equitable AI community. Our PA team institutions will each host an annual meeting (confirmed in the Institutional letters of support), ensuring geographic representation across Canada.