Responsible Innovation Fellowship
For each of its three years, this project recruits a cohort of 9-12 doctoral students, postdocs, and law students to work in small interdisciplinary teams of 3-4 spanning the natural sciences, engineering, social sciences, humanities and law.
In the first half of each year, you will undergo training in Technology Ethics, Responsible Innovation (RI) and the IDEA Center’s Commercialization Engine process, including material drawn from the ESTEEM Graduate Program. As you work through the Responsible Innovation literature from your unique disciplinary perspective, you will also critique and contribute new ideas and insights to this emerging area, eventually arriving at your own working approach to RI.
In the second half of each year, you will be connected to a real-world commercialization project through Notre Dame's technology transfer and incubation hub, the IDEA Center.
You will then implement your chosen Responsible Innovation concept as a consultant to an actual innovation project. Your consulting will provide a valuable service to that project while also serving as a practical test of your ideas. In the final phase of each year, you will write your recommendations for the innovation project, as well as your overall findings from this experience for possible publication.
Goals of the RIF Program
- Foster interdisciplinary dialog on major ethical issues related to technology
- Train researchers in the basic elements of Responsible Innovation
- Develop – and test – new ideas on Responsible Innovation
- Help guide local innovation projects
- Training in Technology Ethics
- Critical analysis of Responsible Innovation
- Training in Commercialization Engine
- Connect to an innovation project via the IDEA Center
- Conduct research and analysis on its ethical and social dimensions
- Serve as consultants
- Generate final recommendations report
- Refine and write up findings for possible publication
For questions, contact Mark Bourgeois, email@example.com
Funding for this project was provided by the National Science Foundation under award number SES-1926280.