All submissions have been reviewed, and the winners have been chosen for the first cycle of the!
The Chessable Research Awards are for undergraduate and graduate students conducting university-level chess research. Any chess-themed topics may be submitted for consideration and ongoing or new chess research is eligible. Each student must have a faculty research sponsor.
The second cycle of Chessable Research Awards opens on January 15, 2023. For more information, please visit this.
For the first cycle entries, Chessable has chosen one winner in the graduate student category and one winner in the undergraduate student category.
The graduate student winner will receive $1,000 and the undergraduate student winner will get $500. Each of their faculty research sponsors receives $500. Students will also write Chessable blog posts describing their progress on their research, which will be submitted by May 1, 2023.
We’d like to thank all the students who submitted research proposals. It was not easy choosing only two winners from the excellent proposals submitted.
Without further ado, let’s meet the winners:
Adam DeHollander, Graduate Student Winner
Proposal: Applying Chess Programming to Improve Efficiency in Hospital Emergency Departments
The Faculty Research Sponsor for Adam DeHollander’s research is.
Adam DeHollander studied Data Science and Applied Mathematics at the University of Michigan and is currently a Ph.D. student and Presidential Fellow in the Department of Industrial and Systems Engineering at the University at Buffalo. Adam has research experience in diverse fields such as sports analytics, artificial intelligence, quantitative finance, and computational biology. Adam has also been a tournament chess player since middle school and has volunteered as a chess coach for many years at a local non-profit chess academy.
Adam’s research involves modeling the hospital emergency department as a game, which allows for the use of powerful game engines, such as Stockfish and AlphaZero, to solve problems such as long wait times and increased mortality rates. The goal is to use game engines as real-time decision-making tools in the emergency department to decrease crowding, thereby decreasing adverse health outcomes and increasing patient satisfaction.
Sarah Kudron, Undergraduate Student Winner
Proposal: Stereotype Fit in Women Chess Players
The faculty research sponsor for Sarah Kudron’s research is.
Sarah Kudron is a senior Psychology Major with a Spanish Minor at The College of New Jersey. Sarah is one of the research assistants in Dr. Grimm’s Motivation, Individual Differences, and Stereotypes in Cognition research lab.
Sarah’s research project is about stereotype fit. After being exposed to the negative stereotype that women are bad at chess, women participants will solve chess puzzles either under a “Gains” condition (gaining more points for correct responses than for incorrect responses) or under a “Losses” condition (losing fewer points for correct responses than for incorrect responses). Since the Losses condition matches the negative stereotype, Sarah hypothesizes that women in the Losses condition will perform better than women in the Gains condition.
We’d again like to thank all participating students for submitting their entries. We look forward to more chess research proposals for our second cycle, which opens on January 15, 2023! For more information, please visit this.
For questions, comments, or more information, please email Dr. Alexey Root, Chief Science Officer,