Fellowship Areas
Work of the Future Fellows will each be connected with an organization deploying new technologies to conduct a case study that builds on their research interests. Fellows will also join a community of scholars studying these topics and receive advising from faculty across MIT. The Fellowship can support 25%, 50%, or a full graduate student stipend.
Fellows will be matched with applied research projects in two areas:
- Factory Automation: MIT’s Automation Clinic works with manufacturing firms to study their challenges and success in deploying new automation technologies on the factory floor. The Clinic brings students and scholars to visit factories, conduct interviews with manufacturing leaders, and conduct case studies on successful deployments of automation. Fellows engaged in the Clinic will be paired with a manufacturer to study their deployment of a particular technology on the factory floor. Fellows will be expected to visit the factory, interview leaders and shop floor workers, and analyze how the technology was deployed — as well as the impact it has had on workers and the firm. The final deliverable will be a short case study for a practitioner audience on what other companies can learn from the factory’s experience with automation.
- Generative AI: Beginning in fall 2023, MIT is convening a working group on Generative AI and the Work of the Future. The purpose of the group is to study how early deployments of generative AI are affecting workers’ jobs and companies’ demand for skills. Work of the Future Fellows interested in Generative AI will be matched with one or several companies within the working group to study how they are using generative AI, how jobs within the firm are changing, and how workers are adapting. Work of the Future Fellows will also be invited to quarterly “knowledge sharing” meetings with AI leads from companies in the working group where they will provide updates on their research. The final deliverable for the Fellow will be a short case study analyzing what practitioners can learn from the generative AI use cases at the company they study — as well as the strategies for workers to adapt to the new technological environment.