Dear colleagues,
the Mannheim Centre for European Social Research (MZES) and the Mannheim Centre for Data Science (MCDS) will host a workshop on Computational Social Science in May 2025. Please see below for details.
Thanks,
Ruben Bach
____________________________
Computational Social Scientist
Mannheim Centre for European Social Research
University of Mannheim
Workshop Computational Social Science: AI and Society – Exploring Inequality in the Digital Age
When
15.05.2025 & 16.05.2025
Note: To allow same-day travel for most participants on both days, the workshop will start around lunchtime on May 15 and end in the early afternoon on May 16.
Where
University of Mannheim
What
Dear Researchers and Practitioners in Computational Social Science (CSS),
We invite you to our upcoming workshop on “Computational Social Science: AI and Society – Exploring Inequality in the Digital Age” at the University of Mannheim, jointly organized by the Mannheim Centre for European Social Research (MZES)<https://www.mzes.uni-mannheim.de/d7/en> and the Mannheim Centre for Data Science (MCDS)<https://www.uni-mannheim.de/en/datascience/>. This two-day, in-person workshop is part of an annual event series<https://computational-social-science.org/> that connects CSS scholars from the German-speaking area (Austria, Germany, Switzerland). As an interdisciplinary event, it addresses scholars from, e.g., sociology, political science, computer science, communication, economics, digital humanities, and data science. We provide a platform for networking, professional development, and exchanging ideas in CSS.
This year’s workshop will focus on CSS and AI: In recent years, the field has been marked by the rise of Artificial Intelligence (AI). For example, software backed by powerful machine learning algorithms is now used in public policy decision-making; generative AI and large language models are ubiquitous and promise to benefit all.
However, there are also concerns regarding the increasing spread of AI: for example, algorithms may replicate and reinforce societal and statistical biases, those who have been disadvantaged in the past may find themselves even more left behind by new technological developments, and generative AI may be used, e.g., to tamper with election campaigns.
This workshop will address questions focusing on the methodological and real-world implications of AI, such as…
* Individual and societal use of new technology & AI (e.g., using AI systems for decision-making in societal areas such as health or justice, public perceptions of AI, etc.)
* Questions of inequality related to individual and societal use of new technology & AI (e.g., ethnic, racial, or gender bias in AI-based decision-making, etc.)
* Questions of inequality related to scientific use of AI (e.g., access to AI and technology, resources across countries, bias in models, etc.)
* Scientific use of new technology & AI (e.g., large language models for text analysis, agent-based models for synthetic data, digital approaches to historical semantics, etc.)
What to expect
* Invited Talks: Hear from leading scholars who will share insights on conceptual challenges, methodologies, and empirical applications in CSS.
* Panel Discussion: Engage in a discussion with experts and peers on current and future trends related to AI and CSS.
* Early Career Poster Session: Are you an early career CSS researcher? Present your research in a poster session!
* Networking Opportunities: Connect with fellow researchers and professionals to build a robust CSS community in the DACH area.
Who Should Attend? This workshop is for academics, researchers, and professionals involved in CSS or interested in applying computational methods in social science research. Whether you are an experienced scholar or a young researcher in this field, your contributions and participation will be highly valued.
Note: As the workshop features invited talks and sessions aimed at academic exchange, you do not have to submit your research to participate (unless you want to present in the early career poster session).
We look forward to welcoming you to an engaging and inspiring event!
Workshop Registration
The workshop welcomes researchers from all career levels as non-presenting participants to partake in discussing directions of CSS research and networking with other CSS scholars. Slots will be allocated on a first-come, first-served basis. We will send out a separate announcement once registration for the workshop opens.
Call for posters
Additional slots are available for early career researchers who wish to present their CSS projects in the poster session. Posters may deal with any topic relevant to CSS. Please submit a short abstract of up to 300 words about the poster you would like to present to cssworkshop2025(a)computational-social-science.org. The deadline for abstract submission is February 16, 2025. We will try to accommodate all poster submissions suitable to the conference. Depending on the number of submissions, we may need to choose a subset of posters based on the fit of the posters to the topic of CSS and the originality of the work. Acceptance notifications will be sent out in March 2025.
A poster award will be given out during the workshop (worth 250 EUR). The award is kindly sponsored by the German Association for Online Research, DGOF e.V. All accepted submissions will be eligible for these awards.
We especially welcome posters on:
* Best practice applications of computational methods/big data to (complex) social science research questions
* Submissions that combine established theories from the field of social science with digital data or/and computational social science methods
* Results and research designs from CSS research projects
* Theoretical and conceptual challenges of CSS research
* CSS methods and innovations; mixed methods
* Data linkage applications and methods for enriching large/online data sources
Venue
The workshop will take place at the University of Mannheim.
Organizing Committee
Ruben Bach, University of Mannheim
Andreas Blätte, University of Duisburg-Essen
Nikolitsa Grigoropoulou, University of Bremen
Valerie Hase, LMU Munich
Stefan Knauff, Bielefeld University
Simon Kühne, Bielefeld University
Dorian Tsolak, Bielefeld University
Check out the website<https://computational-social-science.org/> for more information.
_________________________________________
https://computational-social-science.org/
***Apologies for cross-posting
Dear colleagues,
This is a gentle reminder for the next CS3 meeting with Andreas Jungherr (University of Bamberg) talking about Deceptive uses of Artificial Intelligence in elections strengthen support for AI ban<https://jkhoehne.eu/wp-content/uploads/2024/10/CS3_meeting_AJ.pdf> on November 14, 2024, from 4:15 to 5:00 PM (CET).
Please sign up for the meeting by November 13, 2024: https://ww3.unipark.de/uc/cs3_meeting_registration/
See you at the CS3 Meeting!
Best regards
Jan
German Centre for Higher Education Research and Science Studies (DZHW)
Lange Laube 12 | 30159 Hannover | www.dzhw.eu<https://www.dzhw.eu/> | Germany
Prof. Dr. Jan Karem Höhne
Head of CS3 Lab for Computational Survey and Social Science
Leibniz University Hannover
German Centre for Higher Education Research and Science Studies (DZHW)
Research Area 4: Research Infrastructure and Methods
Tel. +49 511 450670-458
Fax +49 511 450670-960
www.jkhoehne.eu<http://www.jkhoehne.eu/>
Upcoming and most recent publications:
- Höhne, J.K., Claassen, J., Shahania, S., & Broneske, D. (in press). Bots in web survey interviews: A showcase. International Journal of Market Research. DOI: 10.1177/14707853241297009
- Höhne, J.K., Lenzner, T., & Claassen, J. (in press). Automatic speech-to-text transcription: Evidence from a smartphone survey with voice answers. International Journal of Social Research Methodology.
- Salvatore, C., & Höhne, J.K. (in press). Explaining item-nonresponse in open questions with requests for voice responses. Conference Proceeding of the Italian Statistical Society.
- 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
- Lenzner, T., Höhne, J.K., & Gavras, K. (2024). Innovating web probing: Comparing written and oral answers to open-ended probing questions in a smartphone survey. Journal of Survey Statistics and Methodology. DOI: 10.1093/jssam/smae031
Liebe Kolleg*innen in der DGS-Methodensektion,
wir freuen uns, Euch und Ihnen hiermit das Programm des GESIS Spring Seminar 2025 zukommen lassen zu können. Die Ankündigung und alle relevanten Infos zu den einzelnen Kursen und zur Registrierung finden sich unten bzw. auf den unten verlinkten Websites.
Viele Grüße aus dem Rheinland,
Sebastian
***Apologies for cross-posting***
Dear colleagues,
We are excited to announce the program of the GESIS Spring Seminar 2025!
The Spring Seminar offers high-quality training in state-of-the-art techniques in quantitative data analysis taught by leading experts in the field. It is designed for advanced graduate or PhD students, post-docs, and senior researchers. In 2025, all courses will deal with Experimental Designs in the Social and Behavioral Sciences.
Extensive hands-on exercises and tutorials complement lectures in each course. The Spring Seminar will take place onsite at GESIS Cologne, Germany, from 17 March to 04 April 2025.
For registration and detailed course descriptions, please visit https://tinyurl.com/GESIS-Spring-Seminar-2025.
GESIS Spring Seminar 2025 Program:
Week 1 (17- 21 March)
Field Experiments<https://tinyurl.com/FieldExperiments-Spring25>
Johanna Gereke, Nicole Schwitter
Week 2 (24 - 28 March)
Laboratory Experiments<https://tinyurl.com/LaboratoryExperiments-Spring25>
Florian Heine, Eve Ernst (TA)
Week 3 (31 March - 04 April)
Multifactorial Survey Experiments<https://tinyurl.com/MultifacSurvey-Spring25>
Ulf Liebe, Jürgen Meyerhoff
Courses must be booked separately - whether you wish to attend one, two, or all three. There is no registration deadline, but places are limited and allocated on a first-come, first-served basis. Thanks to our cooperation with the Cologne Graduate School in Management, Economics, and Social Sciences at the University of Cologne, you can obtain three ECTS credit points<https://www.gesis.org/en/gesis-training/what-we-offer/spring-seminar-cuttin…> per one-week course.
For detailed information on the Spring Seminar 2025, please visit www.gesis.org/springseminar<http://www.gesis.org/springseminar>.
More Training
For those seeking to expand their skills and proceed to quasi-experimental designs, we offer two short online workshops:
05 - 06 Dec & 12 - 13 Dec 2024: Introduction to Methods of Causal Inference <https://bit.ly/Intro_CausalInference>
18 - 19 Feb 2025: Propensity Score Matching: Computation and Balance Estimation for two and more groups in R<https://tinyurl.com/02-25-PSM-comp-balance-R>
For the full list of workshops on related and other social science research methods, please visit www.gesis.org/workshops<http://www.gesis.org/workshops>.
We would appreciate you forwarding this announcement to other potentially interested parties.
Thank you, and best wishes,
Your GESIS Training team
---
GESIS - Leibniz Institute for the Social Sciences
email: training(a)gesis.org<mailto:training@gesis.org>
web: www.gesis.org/training<http://www.gesis.org/training>
X: https://twitter.com/gesistraining
facebook: https://www.facebook.com/GESISTraining
--
Dr. Sebastian E. Wenz
Senior Researcher
GESIS - Leibniz Institute for the Social Sciences
Phone: +49 221-47694-159
www.gesis.org/training<http://www.gesis.org/training>
***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.
Andreas Jungherr (University of Bamberg) talks about Deceptive uses of Artificial Intelligence in elections strengthen support for AI ban<https://jkhoehne.eu/wp-content/uploads/2024/10/CS3_meeting_AJ.pdf> on November 14, 2024, from 4:15 to 5:00 PM (CET).
Please sign up for the meeting by November 13, 2024: https://ww3.unipark.de/uc/cs3_meeting_registration/
The next talk is by Laura Boeschoten (Utrecht University) entitled "Digital trace data collection through data donation" on December 12, 2024, from 3:15 to 4:00 PM (CET).
See you at the CS3 Meeting!
Best regards
Jan
German Centre for Higher Education Research and Science Studies (DZHW)
Lange Laube 12 | 30159 Hannover | www.dzhw.eu<https://www.dzhw.eu/> | Germany
Prof. Dr. Jan Karem Höhne
Head of CS3 Lab for Computational Survey and Social Science
Leibniz University Hannover
German Centre for Higher Education Research and Science Studies (DZHW)
Research Area 4: Research Infrastructure and Methods
Tel. +49 511 450670-458
Fax +49 511 450670-960
www.jkhoehne.eu<http://www.jkhoehne.eu/>
Upcoming and most recent publications:
- Höhne, J.K., Claassen, J., Shahania, S., & Broneske, D. (in press). Bots in web survey interviews: A showcase. International Journal of Market Research. DOI: 10.1177/14707853241297009
- Höhne, J.K., Lenzner, T., & Claassen, J. (in press). Automatic speech-to-text transcription: Evidence from a smartphone survey with voice answers. International Journal of Social Research Methodology.
- Salvatore, C., & Höhne, J.K. (in press). Explaining item-nonresponse in open questions with requests for voice responses. Conference Proceeding of the Italian Statistical Society.
- 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
- Lenzner, T., Höhne, J.K., & Gavras, K. (2024). Innovating web probing: Comparing written and oral answers to open-ended probing questions in a smartphone survey. Journal of Survey Statistics and Methodology. DOI: 10.1093/jssam/smae031
***Apologies for cross-posting
Dear colleagues,
we are excited to invite submissions for our upcoming session, "Bridging Methodology and Computational Social Science<https://www.europeansurveyresearch.org/conf2025/sessions.php?sess=112>", at the 11th conference of the European Survey Research Association (ESRA)<https://www.europeansurveyresearch.org/conference/utrecht-2025/call-for-abs…>, which takes place at Utrecht University, The Netherlands, from July 14 to July 18, 2025.
The session is organized by Joshua Claassen (DZHW, Leibniz University Hannover), Oriol J. Bosch (Oxford University), and Jan Karem Höhne (DZHW, Leibniz University Hannover). Our aim is to bring together innovative research at the intersection of methodology and Computational Social Science (CSS).
Please submit your abstract (max. 300 words) via the ESRA conference management system<https://www.europeansurveyresearch.org/conf2025/> by December 20, 2024.
Session Details
In today's world, daily activities, work, and communication are continuously tracked via digital devices, generating highly granular data, including digital traces (e.g., app usage and browsing) and sensor data (e.g., geolocation). Researchers from various disciplines are increasingly utilizing these data sources, though often with different research objectives. Methodologists tend to focus on evaluating the quality and errors of digital data, while Computational Social Scientists (CSS) often leverage these data to answer more substantive research questions. However, there is a lack of collaboration between both worlds, resulting in a discipline divide.
For example, CSS researchers have embraced data donations, yet methodologists have not provided sufficient empirical evidence on the quality of such data. Moreover, web tracking data is rapidly being adopted in CSS, but methodological guidelines on how to gather the substantive content of website visits and apps (e.g., through HTML scraping) is lacking. However, there are methodological error frameworks covering both measurement and representation. These frameworks are yet to be (fully) leveraged.
This session invites contributions that bridge the gap between methodology and CSS, fostering collaboration across disciplines. We particularly welcome CSS work that incorporates a strong methodological foundation, as well as methodological research with clear relevance to substantive CSS inquiries. Topics may include, but are not limited to:
* Substantive research showcasing best practices when using digital data
* Assessments of digital data in terms of quality and errors
* Approaches reducing representation, sampling, and measurement errors of digital data
* Studies substituting more traditional data collections (e.g., web surveys) with digital data (e.g., measuring opinions with digital traces)
* Studies that go beyond the pure tracking (or donating) of app, search term, and URL data, including data integration and enrichment strategies
If you have any questions about the session, please do not hesitate to reach out.
We are looking forward to your submissions.
Best regards
Joshua Claassen
German Centre for Higher Education Research and Science Studies (DZHW)
Lange Laube 12 | 30159 Hannover | www.dzhw.eu<https://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 | Fax +49 511 450670-960
E-Mail: claassen(a)dzhw.eu<mailto:claassen@dzhw.eu>
Twitter: @JClaass
Most recent publications:
- Höhne, J.K., Claassen, J., Shahania, S., & Broneske, D. (in press). 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
Registr<https://www.linkedin.com/company/dzhw-gmbh>ation court: Amtsgericht Hannover | HRB 210251
Chairman of the supervisory board: Ministerialdirigent Peter Greisler
Scientific Director: Prof. Dr. Monika Jungbauer-Gans
Administrative Director: Axel Tscherniak
VAT No. DE291239300 | TAX ID No. 25/206/21502
*Call for Papers (abstracts): General Online Research 2025 *(*GOR 25*,
https://www.gor.de <https://www.gor.de/>)
/*Connecting People: Innovating Market Research and Social Data Science*/
*When: 31 March – 2 April 2025 *
*Where: Free University of Berlin, Berlin, Germany***
***Please be aware that this year, there will be no extension to the
deadline***
* Until *15 November 2024*:Deadline for abstract submissions for
Papers, GOR Impact & Innovation Award 2025 competition and GOR
Thesis Award 2025 competition.
* Until *24 January 2025*: Deadline for submissions for Poster
presentations (incl. GOR Poster Award 2025)
*Main Conference Topics: Online and Mobile Web Surveys, Data Science,
Big Data, Smart Data, AI, Public Opinion, Online Communication, Online
Market Research.*
GOR is organised by the German Society for Online Research (DGOF,
https://www.dgof.de/) since 1997. Each year more than 300 participants
attend the conference to discuss current developments in online research
and best practices for their work in industry and academia. With more
than 100 presentations addressing various subtopics of online research,
GOR provides intensive training and networking opportunities.
Partner and Co-Organizer: Free University of Berlin, Guest Prof. Dr.
Carina Cornesse & Prof. Dr. Stefan Liebig.
Please find the detailed Call for Papers here
<https://www.gor.de/about/call-for-papers.html>.
The programme committee invites presenters from industry, academia,
official statistics, government agencies, and other sectors to submit
their work for presentation. Submissions will be accepted based on a
double-blind peer review process.
*Submission Types*
*Paper Presentations: *We welcome submissions that advance the
methodology of online and mobile web surveys, focus on the use of large
and complex datasets to answer research questions in the social
sciences, market research, and related fields, as well as submissions in
online research on public opinion and communication. Examples of
presentation topics include but are not limited to:
Sampling and recruitment Response rates, Measurement and measurement
error, Survey practice, Survey innovations, Survey modes, Qualitative
research, Online data collection and generation, Digital trace data,
Data science, Artificial intelligence, Online communication and public
opinion
*GOR Impact & Innovation Award 2025 competition: *please see separate
call at
https://www.dgof.de/forschungsfoerderung/gor-impact-innovation-award/
*Posters (including the GOR Poster Award 2025 competition):* Posters
offer the opportunity to present late breaking research, highlight
specific research findings, and discuss work in progress. Authors are
expected to present their poster during a poster session. A poster may
cover any of the topics of GOR. All submissions in this category are
considered for the GOR Poster Award 2025.
*Thesis Presentations (including the GOR Thesis Award 2025
competition):* Up to 3 bachelor/master/diploma theses and up to 3
doctoral theses will be selected to be presented at GOR in this category.
*Deadlines*
* *15 November 2024:* Deadline for abstract submissions for Papers,
GOR Impact & Innovation Award 2025 competition and GOR Thesis Award
2025 competition
* *24 January 2025: *Deadline for submissions for Poster presentations
(incl. GOR Poster Award 2025)
* *10 February 2025:* Deadline for early bird registration & for
poster presenters registration (usually the first author)
* *23 February 2025:* Deadline presenting author registration (usually
the first author)
*Submission Format and Submission Procedure*
The official conference language is English. Abstracts should be
submitted online via https://www.conftool.org/gor25/
The abstract can be up to 350 words. Abstracts will be peer-reviewed
with respect to the quality of each of the four paragraphs in the abstract.
/*Template for abstract submission:*/
Relevance & Research Question: —your text here—
Methods & Data: —your text here—
Results: —your text here—
Added Value: —your text here—
Please use the above template for your abstract submission (one
paragraph for each criterion and include the keywords at the beginning
of each paragraph). *Incomplete abstracts with respect to the formal
criteria above are likely to be rejected.*
Contact Details
Conference website, abstract submission,
workshops:<http://www.gor.de/>https://www.gor.de/
Contact: office(a)dgof.de
*Deutsche Gesellschaft für Online-Forschung - DGOF e.V.*
Huhnsgasse 34b
D-50676 Köln
Tel.: +49(0)221-27 23 18-180
E-Mail: office(a)dgof.de
Web: www.dgof.de <http://www.dgof.de>
*Deutsche Gesellschaft für Online-Forschung - DGOF e.V.*
Huhnsgasse 34b
D-50676 Köln
Tel.: +49(0)221-27 23 18-180
E-Mail: office(a)dgof.de
Web: www.dgof.de <http://www.dgof.de>
--
Florian Keusch
Professor of Social Data Science and Methodology
University of Mannheim
School of Social Sciences
Professorship for Social Data Science and Methodology | A5, 6 | 68131 Mannheim
Germany
Phone: +49 (0)621 181-3214
E-mail:f.keusch@uni-mannheim.de
* Apologies for cross-posting *
Dear colleagues,
As you know, the 11th Conference of the European Survey Research Association (ESRA) will take place from 14th July to 18th July 2025 in Utrecht, The Netherlands.
The scientific committee is now inviting researchers who are active in the field of survey research, survey methodology and data analysis to submit proposals for individual paper and poster presentations.
To be part of the conference programme, start by selecting a suitable session for your presentation. Here is a complete overview of all sessions<https://www.europeansurveyresearch.org/conf2025/sessions.php> that are being organised. Please submit an abstract (max. 300 words) to the session of your choice via the ESRA conference management system<https://www.europeansurveyresearch.org/conf2025/> by 20th December 2024. To submit an abstract, you must login to your ESRA account (or create a new account if you do not already have one) and then follow the instructions provided. Please note that it is only possible to submit up to two abstracts as the first author/presenter.
The conference theme is 'Promises and problems of new and alternative data sources and data formats for survey research. Methodological challenges and substantive conclusions<https://www.europeansurveyresearch.org/conference/utrecht-2025/call-session…>'. We welcome submissions related to this theme, or in any other area of survey methodology or substantive area of survey research. We encourage proposals from researchers with a variety of backgrounds, including academic research, official statistics, commercial research, and government social research. Please read the full call here<https://www.europeansurveyresearch.org/conference/utrecht-2025/call-for-abs…>.
If you are an early career scholar, please consider applying for the Early Career Award or the newly established ESRA-WAPOR Student Support Award. Information regarding criteria, eligibility, and evaluation process is available here<https://www.europeansurveyresearch.org/conference/utrecht-2025/early-career…> and here<https://www.europeansurveyresearch.org/conference/utrecht-2025/esra-wapor-s…>
If you want to apply for a Travel & Stay Grant, see here<https://www.europeansurveyresearch.org/conference/utrecht-2025/travel-and-s…>.
We are looking forward to receiving your abstract.
Best regards,
Daniel Seddig, Chair
Angelo Moretti, Vice-Chair
2025 ESRA Conference Committee
***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.
Saijal Shahania (DZHW, University of Magdeburg) talks about The bot that lived: SurveyBot's role in automated web survey pretesting<https://jkhoehne.eu/wp-content/uploads/2024/08/CS3_meeting_SaS.pdf> on October 24, 2024, from 3:15 to 4:00 PM (CEST).
Please sign up for the meeting by October 23: https://ww3.unipark.de/uc/cs3_meeting_registration/
The next talk entitled Deceptive uses of Artificial Intelligence in elections strengthen support for AI ban<https://jkhoehne.eu/wp-content/uploads/2024/10/CS3_meeting_AJ.pdf> is by Andreas Jungherr (Bamberg University), Adrian Rauchfleisch (Zurich University), and Alexander Wuttke (Ludwig Maximilians University) on November 14, 2024.
See you at the CS3 Meeting!
Best regards
Jan
German Centre for Higher Education Research and Science Studies (DZHW)
Lange Laube 12 | 30159 Hannover | www.dzhw.eu<https://www.dzhw.eu/> | Germany
Prof. Dr. Jan Karem Höhne
Head of CS3 Lab for Computational Survey and Social Science
Leibniz University Hannover
German Centre for Higher Education Research and Science Studies (DZHW)
Research Area 4: Research Infrastructure and Methods
Tel. +49 511 450670-458
Fax +49 511 450670-960
www.jkhoehne.eu<http://www.jkhoehne.eu/>
Upcoming and most recent publications:
- Höhne, J.K., Claassen, J., Shahania, S., & Broneske, D. (in press). Bots in web survey interviews: A showcase. International Journal of Market Research.
- Höhne, J.K., Lenzner, T., & Claassen, J. (in press). Automatic speech-to-text transcription: Evidence from a smartphone survey with voice answers. International Journal of Social Research Methodology.
- Salvatore, C., & Höhne, J.K. (in press). Explaining item-nonresponse in open questions with requests for voice responses. Conference Proceeding of the Italian Statistical Society.
- 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
- Lenzner, T., Höhne, J.K., & Gavras, K. (2024). Innovating web probing: Comparing written and oral answers to open-ended probing questions in a smartphone survey. Journal of Survey Statistics and Methodology. DOI: 10.1093/jssam/smae031