Schedule

Schedule of Events:

8:00 am – Continental Breakfast
9:00 am – Short Courses

• Computer Assisted Qualitative Content Analysis (Philip Resnik)

• Automated Comment Categorization using Naive Bayes and Python (Tyler Waite)

• Collecting High Quality Training Data: Lessons from 20 years in Surveys (Stephanie Eckman)

• Tutorial: How to Query LLMs / Pitfalls in Prompting / Caution in Prompting (Xingpeng Wang and Philip Mondorf)

• Fine Tuning LLMs for Data Augmentation and Synthesis (Tobias Holtdirk and Caro Haensch)

10:30 am – Breakout sessions

• How can LLMs be used for survey operations? (Claire Kelley and Quirin Wünschinger)

• Synthetic respondents / data / values / opinion / attitudes embedded in the LLMs (Yongwei Yang)

• Pathways for Advancing Survey Research with LLMs / How survey research might help build next gen LLMs (Trent Buskirk)

• Using ML learning to improve analysis of open ended questions (Bolai Ma and Sarah Kelley)

• What LLMs cannot do (Joshua Lerner)

• Using Chatbots as Interviewers (Max Lang)

12:00 pm – Lunch
1:00 pm – Welcome message and Keynote speakers
2:00 pm – Panel Discussion followed by Q&A
2:30 pm – Afternoon snack break
3:00 pm – Poster Session

Poster Type 1 – AI Helping Surveys
Poster Type 2 – Surveys Helping AI
Poster Tupe 3 – Less than Success

4:30 pm – Closing remarks – Where from here?
5:00 pm Workshop Ends

Registration Fees:

General Registration Fee: $200
Student Registration Fee: $100

Program Fees include all-day access to the workshop, one short course, continental breakfast, and lunch.