Tyler Hansen is a Visiting Scholar in the Department of Environmental Studies at Dartmouth College, working with Prof. Elizabeth Wilson. He received his Ph.D. from the Department of Economics at the University of Massachusetts Amherst and worked for two years as a Postdoctoral Researcher in the Department of Wind and Energy Systems at the Technical University of Denmark.

Tyler's research explores the economics, policy, and governance of energy transitions, with a particular focus on offshore wind power. He employs a mixed-methods approach, including quantitative (econometrics, cash flow analysis, descriptive analysis), qualitative (interviews, focus groups, document analysis, case studies), and—most recently—computational methods (applied large language models).

His current work examines how large language models (LLMs)—such as ChatGPT and Claude—can be integrated into expert-in-the-loop approaches to scale qualitative research in complex social decision domains. Clean energy megaprojects—including offshore wind development and power transmission—are characterized by massive scale, high risks, and extensive regulatory processes. A single megaproject generates hundreds of thousands to millions of pages of documentation through development and approval processes, leading to information overload that hinders rapid, just, and efficient deployment. By leveraging LLMs, Tyler aims to transform these vast corpora into powerful analytical tools to investigate structural challenges, develop sector-wide solutions, and facilitate institutional learning.