For the second year in a row, the Faculty of Information is holding its Toronto Human-AI Interaction Summer Research School, which will once again be held online.
Open to Master’s students at Canadian universities and Master’s graduates in relevant industry fields, the program is 10 weeks long, running from June 6th to August 12th this year. It kicks off with an intensive week requiring daily online presence and ends with another intensive week. In the in-between period of eight weeks, students do group research work on a flexible schedule.
During the intensive weeks, each day includes a research keynote from leading researchers in the area of human-AI interaction, a hands-on research skills workshop, and time for group work.
The summer research school offers seven timely group project topics. Each project is carried out by a group of two to four summer school students. The groups are formed according to the project topics chosen during the application process, and based on the complementarity of the skills of group members. The groups are formed following acceptance to the summer research school and before the first intensive week. Each project is assigned a research advisor from a team of University of Toronto professors.
All accepted students receive a $1,000 participation honoraria and, upon completion of the program, a certificate of participation. Master of Information students from the University of Toronto can also receive a reading course credit upon request.
The application process, described in detail on the summer research school’s website, closes on April 27th.