FrontierMap: Research Intern

Frontier Map is an AI-augmented learning and research tool that helps individuals build rigorous, context-rich “maps” of emerging or complex fields. In an era of accelerating discovery and cross-disciplinary convergence, innovators face a fundamental challenge: how to meaningfully orient themselves within a rapidly shifting intellectual landscape. Frontier Map addresses this by blending structured epistemic frameworks with the power of generative AI, guiding users to surface:
Key figures & landmark studies that shaped the field. Major themes & open controversies that define current debates. Divergent schools of thought and their philosophical underpinnings. Historical trajectories & future scenarios, fostering a sense of time depth and continuity. By visualizing not only the “state of the art” but also the historical and conceptual scaffolding beneath it, Frontier Map helps researchers, builders, and policy shapers cultivate a kind of trajectory literacy—an awareness of how today’s inquiries connect to past efforts and future possibilities.

• Contribute to literature review for the FMap v1 preprint
• Help develop the worked example section of the paper
• Conduct a supervised FMap exercise as a case study
• Produce annotated bibliography entries
• Engage with interdisciplinary research methods and knowledge cartography literature

Students in philosophy of science, STS, library/information science, interdisciplinary studies, or any field where you have experience navigating complex intellectual landscapes. Graduate students preferred; strong undergraduates with relevant experience considered.

• Duration 10–12 weeks
• Compensation Unpaid
• Location Remote
• Time commitment ~10 hours/week (flexible)

This project has been presented at Cambridge Digital Humanities, CSV conference series, Neuromatch, and elsewhere.