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DTSTART;TZID=America/New_York:20231004T100000
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UID:15025-1696413600-1696419000@growthlab.hks.harvard.edu
SUMMARY:Research Seminar: Money\, Time\, and Grant Design
DESCRIPTION:The Growth Lab Research Seminar series is a weekly seminar that brings together researchers from across the academic spectrum who share an interest in growth and development.Speaker: Wei Yang Tham is a Research Scientist at the Laboratory for Innovation Science at Harvard (LISH) and Harvard Business SchoolAbstract: The design of research grants might be a useful tool for incentivizing more socially valuable science. To better understand the value of grant design as a policy instrument\, we conduct two sets of thought experiments in a nationally representative survey of academic researchers. First\, we test whether grants with randomized attributes induce different research strategies. Longer grants increase researchers’ willingness to take risks\, but only amongst tenured professors\, suggesting that job security and grant duration are complementary incentives. Larger grants increase researchers’ willingness to expand ongoing projects\, while smaller grants increase researchers’ focus on starting new projects. In our second experiment\, we estimate researchers’ willingness to trade off grant size and duration. We find that researchers are relatively unwilling to trade off the amount of funding a grant provides in order to extend the duration of the grant — more money is much more valuable than more time. 	Whether attending in-person or online\, please register in advance. Room attendance is limited to the Harvard community. Seating is available on a first-come\, first-served basis. Zoom attendance is open to the public. \nAbout the speaker: 	Wei Yang Tham is a Research Scientist at the Laboratory for Innovation Science at Harvard (LISH) and Harvard Business School. He completed his PhD in Economics at Ohio State University in 2019. Dr. Tham studies innovation and knowledge production in the context of science. His recent work includes eliciting researchers’ preferences and responses to grant design\, studying how funding delays affect the movement of human capital across sectors and borders\, and estimating the knowledge production function to better understand the optimal distribution of resources in research.
URL:https://growthlab.hks.harvard.edu/event/research-seminar-money-time-and-grant-design/
LOCATION:Weil Hall (Belfer L1) / Zoom (registration information below)
CATEGORIES:Academic Research Seminars
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DTSTART;TZID=America/New_York:20231011T100000
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DTSTAMP:20250910T003451Z
CREATED:20231007T013200Z
LAST-MODIFIED:20250910T003451Z
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SUMMARY:Research Seminar:  Dancing With the Stars -Innovations through Interactions
DESCRIPTION:The Growth Lab’s Research Seminar series is a weekly seminar that brings together researchers from across the academic spectrum who share an interest in growth and development. 	In this hybrid seminar\, Santiago Caicedo\, an Associate Professor at the Economics Department and Finance Group at Northeastern University will discuss his research on innovation\, which uses a new large-scale panel dataset on European inventors matched to their employers and patents. 	Whether attending in person or virtually\, please register in advance. 	Paper Abstract: An inventor’s own knowledge is a key input in the innovation process. This knowledge can be built by interacting with and learning from others. This paper uses a new large-scale panel dataset on European inventors matched to their employers and patents. We document key empirical facts on inventors’ productivity over the life cycle\, inventors’ research teams\, and interactions with other inventors. Among others\, most patents are the result of collaborative work. Inter- actions with better inventors are very strongly correlated with higher subsequent productivity. These facts motivate the main ingredients of our new innovation-led endogenous growth model\, in which innovations are produced by heterogeneous research teams of inventors using inventor knowledge. The evolution of an inventor’s knowledge is explained through the lens of a diffusion model in which inventors can learn in two ways: By interacting with others at an endogenously chosen rate; and from an external\, age-dependent source that captures alternative learning channels\, such as learning-by-doing. 	About the Speaker: Santiago Caicedo is an Associate Professor at the Economics Department and Finance Group at Northeastern University. He graduated with a Ph.D. in Economics from the University of Chicago. His research connects microdata with economic theory to study social interactions\, human capital formation\, economic growth\, and innovation.
URL:https://growthlab.hks.harvard.edu/event/research-seminar-dancing-with-the-stars-innovations-through-interactions/
LOCATION:Belfer L1 Weil Town Hall\, HKS (Harvard Community) & Zoom
CATEGORIES:Academic Research Seminars
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