***Apologies for cross-posting
Dear colleagues,
I would like to invite you to join the upcoming CS3 Meeting for Computational Survey and Social Science broadcasted by the German Centre for Higher Education Research and Science Studies (DZHW). The CS3 Meeting concerns research topics on innovative data collection and analysis strategies in the behavioral and social sciences. It takes place online during the summer (April-July) and winter terms (October-January) including a talk of about 30 minutes and a Q&A of about 15 minutes.
Haomiao Jin (University of Surrey) talks about "Exploring an AI-powered survey interviewing agent for individuals who are blind or visually impairedhttps://jkhoehne.eu/wp-content/uploads/2025/04/CS3_meeting_HJ.pdf" on April 15, 2025, from 3:15 to 4:00 PM (CEST).
Please sign up for the meeting here: https://ww3.unipark.de/uc/cs3_meeting_registration/
See you at the CS3 Meeting!
Best regards Joshua
German Centre for Higher Education Research and Science Studies (DZHW) Lange Laube 12 | 30159 Hannover | www.dzhw.euhttps://www.dzhw.eu/ | Germany
Joshua Claaßen (M.A.) Research Associate and PhD Candidate Member of CS3 Lab for Computational Survey and Social Science Research Area Research Infrastructure and Methods
Tel. +49 511 450670-407 | E-Mail: claassen@dzhw.eumailto:claassen@dzhw.eu | Bluesky: @jclaass.bsky.social
Most recent publications: - Höhne, J.K., Lenzner, T., & Claassen, J. (2025). Automatic speech-to-text transcription: Evidence from a smartphone survey with voice answers. International Journal of Social Research Methodology. DOI: 10.1080/13645579.2024.2443633 - Höhne, J.K., Claassen, J., Shahania, S., & Broneske, D. (2024). Bots in web survey interviews: A showcase. International Journal of Market Research. DOI: 10.1177/14707853241297009 - Höhne, J.K. & Claassen, J. (2024). Examining final comment questions with requests for written and oral answers. International Journal of Market Research. DOI: 10.1177/14707853241229329 - Höhne, J.K., Gavras, K., & Claassen, J. (2024). Typing or speaking? Comparing text and voice answers to open questions on sensitive topics in smartphone surveys. Social Science Computer Review. DOI: 10.1177/08944393231160961
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