An Introduction to Artificial Intelligence for Urban Health Research

Instructor: Alex Quistberg, Associate Research Professor; Drexel Dornsife School of Public Health

Dates: Monday, June 23-Friday, June 27

Time: 1:00 p.m. - 4:00 p.m. EST

Format: Online, live instruction

This course will introduce researchers and practitioners to artificial intelligence (AI), focused on deep learning, and use cases for urban health practice and research. The course will provide the historical context and development of some of the deep learning models currently in use, the key concepts and design of these models, what resources are needed to implement them in your research or practice, collaborating with AI experts, and some case examples of use for both research and practice, such as collecting built environment data and prompting generative AI GPT models to provide text, images, videos or other outputs for your practice or research use. No programming knowledge is needed or required for this course, though suggested resources will be provided to those interested in that aspect.

Learning Objectives:

1) Describe some of the primary AI algorithmic approaches in plain language

2) Assessing the quality and reliability of AI models and output

3) Identify use cases of AI for your area of research or practice

4) Become familiar with some of the available AI tools and platforms through practice

Continuing Education Credits*: 1.5 CEU or 15 CPH