News
What we've been up to lately: new papers, talks, awards and grants. Our work has been presented at places from Harvard Business School to NASA Ames, and you'll find every one of them here.
2026
- Oct 7, 2026New preprint on where AI assistants' personal memory failsHaonan Deng and Park Sinchaisri posted a preprint on arXiv examining how an AI assistant's memory of its user can be outdated, misattributed or retrieved too late.Paper
- Aug 4, 2026Dispatching to Develop posted on SSRNA new working paper by Haonan Deng and Park Sinchaisri on dispatch policies that develop gig workers' skills is now on SSRN.Paper
- May 11, 2026Learning to Gig gets a major revision at M&SOMLearning to Gig, our paper on dispatching jobs to gig workers who learn and can turn jobs down, is now under major revision at Manufacturing & Service Operations Management.Paper
- May 8, 2026Three papers on the 2026 MSOM Conference programOur papers on compliance-aware reinforcement learning, strategic advice in the age of personal AI, and how AI changes planning versus execution are on the program for the 2026 MSOM Conference at Harvard Business School (July 13–14).Talk
- Apr 16, 2026Precise or Broad? gets a major revision at M&SOMOur paper on whether algorithmic advice should be precise or broad is now under major revision at Manufacturing & Service Operations Management.Paper
- Apr 10, 2026Park Sinchaisri wins a second Cheit Teaching AwardPark Sinchaisri received the Earl F. Cheit Award for Excellence in Teaching for the Evening & Weekend MBA program, his second.Award
- Mar 2, 2026Preprint: Strategic Advice in the Age of Personal AIYueyang Liu and Park Sinchaisri posted a game-theoretic study of how advisors respond when clients also consult a personal AI.Paper
2025
- Oct 20, 2025Two papers presented at CSCW 2025 in BergenLearning on the Go was presented in the conference's gig-economy session on October 20 and Making ChatGPT Work for Me in a learning session on October 21.Talk
- Jul 31, 2025Learning on the Go accepted to CSCW 2025Shunan Jiang and Park Sinchaisri's study of how gig workers learn alongside recommendation algorithms was accepted to CSCW 2025 in Bergen, Norway.Paper
- May 22, 2025Tips paper published in Management ScienceOur paper on using reinforcement learning to generate decision tips for people was published online in Management Science; it appears in the January 2026 issue.Paper
- May 10, 2025Multihoming paper selected for the Platform Strategy Research SymposiumManaging Multihoming Workers in the Gig Economy was selected for the 2025 Platform Strategy Research Symposium in Boston.Talk
2024
- Nov 13, 2024Human-AI decision-making talk at Dartmouth TuckPark Sinchaisri will present two papers on human-AI sequential decision-making at Dartmouth's Tuck School of Business.Talk
- Oct 21, 2024Multihoming paper is runner-up for INFORMS TIMES Best Working PaperManaging Multihoming Workers in the Gig Economy was runner-up for the 2024 INFORMS TIMES Section Best Working Paper award.Award
- Sep 20, 2024Making ChatGPT Work for Me accepted to CSCW 2025Our study of how K-12 teachers use ChatGPT on their own work was accepted to CSCW 2025.Paper
- May 18, 2024Park Sinchaisri wins the Cheit Teaching AwardPark Sinchaisri received the Earl F. Cheit Award for Excellence in Teaching for his operations course in the Evening MBA program.Award
2023
- Dec 31, 2023Stanford OIT seminar on human-AI decision-makingPark Sinchaisri will present two papers on human-AI decision-making at the Stanford GSB Operations, Information & Technology seminar on March 6, 2024.Talk
- Oct 7, 2023MIT IDE seminar on human-AI decision-makingPark Sinchaisri will present two papers on human-AI decision-making at the MIT Initiative on the Digital Economy seminar on November 15, 2023.Talk
- Aug 30, 2023Talk at the UC Berkeley-NASA symposium on skills in the AI eraPark Sinchaisri will speak at the inaugural UC Berkeley-NASA symposium on the future of skills in the AI era, at NASA Ames on September 22, 2023.Talk
- Jul 20, 2023Fisher Center research grantPark Sinchaisri received a 2023 research grant from the Fisher Center for Business Analytics at Berkeley Haas.Grant