Fall 2022 Cohort Application Deadline - October 2, 2022
- Application deadline – October 2, 2022 @ 11:59pm (ET)
- Decisions made by Engine team and applicants advised by October 7, 2022.
- Program duration: October 20, 2022 to March 23, 2023. In-person classes will be held at FDA 3 every other Thursday, 4 -6 pm (ET). No classes during the December and Spring breaks.
The Invention to Impact (I-to-I) Training Program uses experiential learning to help McGill graduate students and their faculty supervisors gain insight into:
- technology commercialization
- industry requirements and challenges
I-to-I provides tools and training to support researchers to translate their fundamental research to the marketplace and have their solutions benefit society. The program imparts an evidence-based methodology that students and professors can use for the rest of their careers, and it also enables the transformation of inventions to impact. This program allows student participants to receive CCR recognition as it is an approved Enriched Educational Opportunities (EEO) program.
Current Application Deadline
- Fall 2022 Cohort - October 2, 2022, 11:59PM (ET)
- Program to run from October 20, 2022 to March 30, 2023, classes every 2 weeks.
The teaching curriculum integrates scientific discovery and commercial applications using an evidence-based and data-driven methodology, namely, the Lean LaunchPad® methodology. The I-to-I program basics are real-world, hands-on experiential learning through customer and industry discovery.
The three guiding principles are:
- Build a business model, not a business plan
- Love the problem, not the solution
- Experiment, learn and validate
The program utilizes the LaunchPad® software that uses the Business Model Canvas tool created by Alexander Osterwalder for discovering repeatable, scalable business models. The platform enables teams to map their business model assumptions and run experiments to gather and share key evidence in real time with team members, mentors, and the instructors to make collaboration easy. A powerful and unique combination of « learning » and « doing » and « learning by doing » will be used. Program participants learning will happen not only during the weekly group classes but also through the use of the platform with integrated course videos and through the support of an assigned mentor to the team. The « doing » part for participants will be carrying out tasks in the marketplace/real-world and revolved around learning from their potential customers and partners.
Through this 20-week training program offered during the Fall 2022 session, researchers can reduce the time to translate a promising idea from the laboratory to the marketplace as they will acquire the mindset, knowledge, and skills necessary to translate their knowledge into potential technology commercialization and startup ventures.
It is also a cohort-based program with a flipped classroom setting in order to maximize peer-to-peer learning via student discussion moderated by the co-instructors and mentors present. We expect to select up to 6 teams for this Fall cohort. I-to-I uses in-class methodology developed to promote student discussion and learning in lectures where the content coverage is moved outside the classroom.
- Teams of 2-4 members can apply.
- Each team will be comprised of: 1-3 McGill current graduate student (Master’s or PhD or post-doc), 1-2 McGill principal/co-investigators (professors), 1 industry/entrepreneurial expert (assigned mentor). Teams submit details, in particular the feasibility and viability of the research they want to commercialize, through a webform application.
- A commitment towards attending and participating in all the classes, using the software, and executing the project work is required (estimate minimum 5 hours/week).
I-to-I addresses the skill and knowledge gaps associated with transforming basic research into deep technology commercial ventures, and supports the commercialization of deep technologies resulting from discoveries in STEM and life sciences. We expect that this program will have a positive effect on the students’ educational success by giving them the tools and training they need in order to apply their academic and lab knowledge to real-world contexts.
We hypothesize that using this model for real-world training, i.e. “getting out of the building”, in a research-intensive university such as McGill will increase the students’ long-term interest in entrepreneurship and commercialization of research, partly by increasing their motivation, business competency, and sense of self-efficacy, that is, a person’s belief in his/her ability to perform certain tasks.
Each accepted team will be assigned a mentor based on the technology and industry sector of application.