Join the CoBeLab
Come work with us
Applications to determine lab fit are due September 1.
Populations studied
Human and Artificial Agents
We work with humans (consenting adults over 18) and with populations of artificial agents e.g., via large language model-based agents. Common data collection tools include Qualtrics for survey designs, Empirica.ly for synchronous and interactive virtual labs, CloudResearch for participant recruitment, and Expected Parrot Domain-Specific Language (EDSL) frameworks for simulating surveys, experiments and research tasks with AI agents and language models, and validating results with human respondents.
Methods used
An experimental and computational toolkit
- Large-scale behavioral experiments
- Inferential statistics (ANOVA / Regressions)
- Statistical programming (Python / R)
- Social graph mining
- Network science
- Machine learning
- Matching methods
- Causal inference
Skills needed to successfully complete a thesis
Research Skills
- Scientific writing
- Attention to detail
- Receptiveness to feedback
- Willingness to revise earlier drafts
- Academic maturity
- Ability to meet deadlines set with the research team
Mentoring structure
Students will work primarily with the professor. 1-on-1 meetings are a unique opportunity to ask questions, get feedback, and ensure that students are being productive. We encourage students to be open to feedback. Critique is not an attack on you, your intellect, or your soul. It's a gift. Prior to each meeting, we recommend that you write an agenda that outlines what you’d like to discuss and how important each item is. Try to bring at least one concrete result, such as a table or figure. It’s ideal to arrive with most tasks complete and the next step already in mind.
Lab Meetings
We meet Fridays at noon
You’re expected to attend all lab meetings, virtual or in person, ready to present your own work, or give feedback on your colleagues’ work. We regularly workshop our writing together, treating clear scientific communication as a skill worth practicing rather than a skill students are assumed to already have.
Open science & data
Share code, protect data
We are committed to open and reproducible science. We share our code, data, and materials openly whenever possible. We document our work so others can build on it, and treat transparency as essential to doing good research.
How to apply
Materials to determine lab fit
CV
Please include a summary of your education, research, and relevant professional experience.
Writing sample
Provide a piece of writing that shows how you reason and communicate in a scientific context. The writing sample should demonstrate both how you build and support an argument and how you report and interpret empirical results clearly.
Cover letter
Include a brief letter describing your past research experience and your current research interests, and how they are related to the current lab projects or PI's research.