Improving Human-AI Interactions in the Future of Work (Knowledge Base/Lab Manager)
Park Sinchaisri, Professor
Business, Haas School
Applications for Spring 2026 are closed for this project.
Our lab works on human-AI interfaces for applications in the future of work. The overarching goals are to (i) understand how humans learn and make decisions in complex environments, (ii) design interpretable algorithms that improve human decision-making, and (iii) apply our frameworks in real-world settings, taking into account interpretability/explainability, human biases, and when people may resist or not comply with algorithmic advice.
Current and ongoing project themes include (non-exhaustive):
1. Impact of algorithmic precision on human sequential decision-making
2. Improving worker learning in the future of work
3. Optimal design of incentives for the future of work
4. Modeling human-AI interactions in various settings
5. Improving teachers’ productivity with generative AI
6. Improving how humans learn to use new tools (e.g., AI)
7. Human learning across tasks and contexts
8. Algorithmic management and its impact on human behavior
9. Recommendation systems for a network of agents (multi-agent recommendations/coordination)
10. Designing performance feedback with AI (how feedback format, timing, and explanations change behavior)
11. Improving team collaboration with AI (coordination, division of labor, shared context)
Role: Knowledge Base: This role is designed for students who want research exposure and are excited to build strong foundations for active projects. You will help build and maintain a structured knowledge base that supports multiple ongoing papers and experiments. What you might work on:
- Targeted literature reviews tied to current project questions (not generic summaries)
- Paper memos and “maps” of how key ideas connect across behavioral decision-making, HCI, operations, and ML
- Maintaining an organized reading library and searchable database of summaries
Lab Manager role: This is a research operations role: you help the lab run smoothly so research moves faster and deadlines do not slip. It is not administrative busywork. The goal is to create a professional operating cadence for a research team working on multiple parallel projects. What you might work on:
- Tracking deliverables across projects (papers, experiments, pilots, analysis milestones)
- Coordinating schedules and making sure action items do not get dropped
- Creating systems that make collaboration efficient (documentation, onboarding, shared standards)
Qualifications: - Strong writing, organization, and ability to summarize precisely (clear, not long)
- Reliability and responsiveness, with good follow-through
- Comfort reading technical material and asking good questions when something is unclear
- Extremely strong follow-through and comfort owning the process (you like making things run smoothly)
- Professional communication and comfort sending follow-ups and reminders
- Strong organization systems and attention to detail
Please also complete this google form as part of the applicatiobn:
https://forms.gle/8AQfQog5R2DxpRR17.
Hours: 9-11 hrs
Off-Campus Research Site: Remote is possible.
Related website: https://parksinchaisri.github.io
Digital Humanities and Data Science Social Sciences Mathematical and Physical Sciences Engineering, Design & Technologies