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Anmeldung geöffnet: Netzwerkkonferenz in Mannheim, 19.–20. März 2026
by Repke, Lydia 29 Jan '26

29 Jan '26

Liebe Kolleg:innen, wir freuen uns, Ihnen mitteilen zu können, dass die Registrierung für die Konferenz „Netzwerke, Kommunikation und Kultur in Online- und Offline-Welten“ jetzt geöffnet ist. Die Konferenz findet am 19. und 20. März 2026 am GESIS – Leibniz-Institut für Sozialwissenschaften in Mannheim statt. Anmeldeschluss ist der 12. Februar 2026. Das Konferenzprogramm und weitere Infos finden Sie im Anhang sowie auf der Webseite: https://www.gesis.org/forschung/projekte-und-austausch/tagungen-und-konfere… Wir uns sehr freuen sehr, alle Interessierten im März 2026 in Mannheim begrüßen zu dürfen und gemeinsam aktuelle Forschung zu Netzwerken, Kommunikation und Kultur in Online- und Offline-Kontexten zu diskutieren. Mit freundlichen Grüßen Lydia Repke, Malte Doehne, Jan Fuhse, Haiko Lietz & Philip Roth ------------------------------- Dr. Lydia Repke (sie/ihr) Teamleitung Scale Development and Documentation Angebotsmanagerin des Survey Quality Predictors (SQP) Survey Design and Methodology GESIS – Leibniz-Institut für Sozialwissenschaften B6, 4-5 | 68519 Mannheim +49 (0) 621 1246 581 Lydia.repke(a)gesis.org<mailto:Lydia.repke@gesis.org>

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GESIS Spring Seminar 2026: Still spots available!
by Wenz, Sebastian 29 Jan '26

29 Jan '26

Liebe Kolleg*innen in der DGS-Methodensektion, unten der Hinweis auf einige freie Plätze in zwei von drei Kursen im diesjährigen GESIS Spring Seminar zu "Advanced Regression Modeling". Kursteilnahme vor Ort in Köln oder online via Zoom. Viele Grüße Sebastian ***Apologies for cross-posting*** Dear colleagues, We wanted to let you know that there are still spots available for the GESIS Spring Seminar 2026. We would greatly appreciate it if you could share this information with students, post-docs, and researchers who may be interested in advanced training in quantitative data analysis. The Spring Seminar is well-known for its high-quality training, combining state-of-the-art techniques with hands-on exercises led by leading experts in the field. In 2026, the focus will be on Advanced Regression Modeling, reflecting the latest advancements in social science research methodology. The Spring Seminar 2026 will take place both online and in person at GESIS Cologne, Germany, from 9 to 27 March 2026. Detailed course descriptions and registration information can be found here: https://t1p.de/spring2026. _Program Week 1 (09-13 March) [fully booked - waiting list available] Advanced Problems in Multilevel and Longitudinal Modeling George Leckie (University of Bristol) Week 2 (16-20 March) Advanced Modeling of Categorical Dependent Variables Maria Kateri (RWTH Aachen University), Irini Moustaki (London School of Economics and Political Science) Week 3 (23-27 March) Advanced Problems in Structural Equation Modeling Suzanne Jak (University of Amsterdam), Terrence Jorgensen (University of Amsterdam) 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 partnership with CGS Cologne you can obtain three ECTS credit points per one-week course. More information is available at https://www.gesis.org/en/gesis-training/what-we-offer/spring-seminar-cuttin…. For detailed information on the Spring Seminar 2026, please visit https://www.gesis.org/springseminar. Related GESIS Workshops in 2026 you might be interested in: * 04-06 March: Introduction to Structural Equation Modeling > https://t1p.de/Intro-SEM26 * 16-17 & 23-24 April: Bayesian Modelling: From Foundations to Custom Solutions > https://t1p.de/bayesian-modelling-2026 * 06-07 October: Propensity Score Matching: Computation and Balance Estimation for two and more groups in R > https://t1p.de/propensity_score_matching For the complete list of workshops, please visit https://www.gesis.org/workshops. Thank you for helping us reach potential participants and making this year's seminar a success! Best wishes, Your GESIS Training team -- GESIS - Leibniz Institute for the Social Sciences email: training(a)gesis.org<mailto:training@gesis.org> web: https://www.gesis.org/training Training on Social Media: Bluesky: https://bsky.app/profile/gesistraining.bsky.social Facebook: https://www.facebook.com/GESISTraining LinkedIn: https://www.linkedin.com/company/gesistraining Sebastian E. Wenz (he/him) Senior Researcher KEO | Training [cid:image002.jpg@01DC913A.EBAF7EF0]<http://www.gesis.org/> Unter Sachsenhausen 6-8 | 50667 Köln +49 (0) 221 47694-159 sebastian.wenz(a)gesis.org<mailto:sebastian.wenz@gesis.org> www.gesis.org<https://www.gesis.org/> [Ein Bild, das Symbol, Logo, Schrift, Grafiken enthält. Automatisch generierte Beschreibung]<https://www.facebook.com/gesis.org/> [cid:image005.png@01DC913A.EBAF7EF0] <https://bsky.app/profile/gesis.org> [Ein Bild, das Logo, Grafiken, Kreis, Screenshot enthält. Automatisch generierte Beschreibung] <https://www.linkedin.com/company/gesis-org> [Ein Bild, das Kreis, Grafiken, Design enthält. Automatisch generierte Beschreibung] <https://www.instagram.com/gesis_lifs/> [Ein Bild, das Schrift, Grafiken, Logo, Text enthält. Automatisch generierte Beschreibung] <https://www.youtube.com/user/GESIStv> [Ein Bild, das Grafiken, Kreis, Symbol, Logo enthält. Automatisch generierte Beschreibung] <https://blog.gesis.org/> [cid:image010.png@01DC913A.EBAF7EF0] <https://sciences.social/@GESIS> You can find our information on data protection at https://www.gesis.org/en/institute/data-protection

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KODAQS Data Quality Academy Zertifikatsprogramm/KODAQS Data Quality Academy Certificate Program
by Florian Keusch 28 Jan '26

28 Jan '26

*Anmeldung für das KODAQS Data Quality Academy Zertifikatsprogramms eröffnet* Das Zertifikatsprogramm <https://www.gesis.org/en/gesis-training/kodaqs-academy/kodaqs-data-quality-…> richtet sich an Nachwuchswissenschaftler*innen aus verschiedenen Disziplinen, die mit sozialwissenschaftlichen Daten arbeiten. Im Rahmen dieses sechsmonatigen Programms stärken die Teilnehmenden ihre Kompetenzen in der qualitätsgesicherten Datenverarbeitung und erhalten praxisnahe Einblicke in die Erstellung und Nutzung hochwertiger Forschungsdaten. Ein starker Praxisbezug wird durch Online-Selbstlernkurse, regelmäßige Online-Veranstaltungen sowie Networking-Events mit relevanten datenproduzierenden Institutionen sichergestellt. Das Programm findet von März bis September 2026 im blended-learning-Format statt und schließt mit einem Zertifikat ab. Anmeldeschluss: 08. Februar 2026 Anmeldung und weitere Informationen: Call for Applications - KODAQS Academy | GESIS Training <https://www.gesis.org/en/gesis-training/kodaqs-academy/call-for-applications> Das Kompetenzzentrum Datenqualität in den Sozialwissenschaften (KODAQS <https://www.gesis.org/forschung/projekte-und-austausch/drittmittelprojekte/…>) fördert das Verständnis von Datenqualität und hat das Ziel, Forschende mit den notwendigen Fähigkeiten auszustatten, um die Qualität sozialwissenschaftlicher Daten zu prüfen und sicherzustellen. KODAQS bietet kostenlose Bildungsressourcen und Lernmöglichkeiten für Forschende, die ihre Expertise im Bereich Datenqualität stärken möchten. Das Kompetenzzentrum ist eine gemeinsame Initiative von GESIS – Leibniz-Institut für Sozialwissenschaften, der Universität Mannheim und der Ludwig-Maximilians-Universität München (LMU). KODAQS wird gefördert durch den EU Next Gen Horizon Fund. ___________________________________________________________ *KODAQS Data Quality Academy Certificate Program 2026 open for applications* The Certificate Program <https://www.gesis.org/en/gesis-training/kodaqs-academy/kodaqs-data-quality-…>is designed to equip early-career researchers from different disciplinary backgrounds using social science data with innovative tools and comprehensive training to promote quality-assured data handling. As part of this six-month program, participants strengthen their skills in quality-assured data processing and gain practical insights into the creation and use of high-quality research data. A practical orientation is ensured through online self-learning materials, regular online events, and networking events with relevant data-producing institutions. The program will take place in an online blended-learning format from March to September 2026. Application deadline: 8 February 2026 For more info about the program and how to apply go to: Call for Applications - KODAQS Academy | GESIS Training <https://www.gesis.org/en/gesis-training/kodaqs-academy/call-for-applications> The Competence Center Data Quality in the Social Sciences (KODAQS <https://www.gesis.org/en/research/projects-and-exchange/external-funding-pr…>) promotes the understanding of data quality and aims to equip researchers with skills to test and assure the quality of social science data. It offers free educational resources and learning opportunities for researchers who want to strengthen their expertise in data quality. KODAQS is a joint initiative of GESIS – Leibniz Institute for the Social Sciences, the University of Mannheim, and the Ludwig-Maximilians-Universität München (LMU). KODAQS is sponsored by the EU Next Gen Horizon Fund. -- 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

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ESS Round 14 - call for a rotating module team (deadline Monday 27 April)
by Hochman, Oshrat 26 Jan '26

26 Jan '26

Dear all, The following was just published by the ESS: A call for proposals to field a module of questions in Round 14 (2029/30) of the European Social Survey (ESS) is now open until Monday 27 April. This open competition<https://europeansocialsurvey.org/methodology/source-questionnaire/call-roun…> offers teams of researchers the chance to include up to 30 questions on a single academic area and/or policy concern within Europe. In most ESS rounds, two rotating modules are selected via this open call for proposals to be fielded in the questionnaire. For Round 14, a special module has already been allocated to the European Values Study (EVS) as part of a wider cooperation between the two surveys<https://www.europeansocialsurvey.org/news/article/landmark-agreement-betwee…>. This will allow users of the ESS and EVS to combine data collected simultaneously, using the same methods for the first time. Therefore, for Round 14, only one rotating module will be selected via this call. As such, applications should be limited to new modules based on topics that have not been covered in rotating modules selected for previous rounds. Applications for new topics are invited from multi-national teams of 3-5 researchers based at institutions in at least three different ESS participating countries. There is a two-stage application process for submitting Round 14 rotating module proposals - the deadline for Stage 1 applications is Monday 27 April 2026. Following Stage 2 applications, two proposals will be chosen by our Scientific Advisory Board (SAB) in November 2026. The successful team will then be invited to work with our Core Scientific Team (CST) to develop the module into final questions from January 2027. All data collection will be self-completion (web and paper). Round 14 data collection will take place from September 2029. The survey data collected will be made available for analysis in 2030 (more precise timings to be confirmed). For more details and a guide on how to apply see Competition to field questions in the ESS | European Social Survey<https://europeansocialsurvey.org/news/article/competition-field-questions-e…> Best wishes, Oshrat Hochman (she, her) Team Leader Data and Research on Society/ Social Surveys [Ein Bild, das Schrift, Grafiken, Text, Logo enth?lt. Automatisch generierte Beschreibung]<http://www.gesis.org/> B6, 4-5 | 68159 Mannheim +49 (0) 621 1246 428 oshrat.hochman(a)gesis.org<mailto:oshrat.hochman@gesis.org> [Ein Bild, das Symbol, Logo, Schrift, Grafiken enth?lt. Automatisch generierte Beschreibung]<https://www.facebook.com/gesis.org/> [cid:image005.png@01DC8ED1.32272ED0] <https://bsky.app/profile/gesis.org> [Ein Bild, das Logo, Grafiken, Kreis, Screenshot enth?lt. Automatisch generierte Beschreibung] <https://www.linkedin.com/company/gesis-org> [Ein Bild, das Kreis, Grafiken, Design enth?lt. Automatisch generierte Beschreibung] <https://www.instagram.com/gesis_lifs/> [Ein Bild, das Schrift, Grafiken, Logo, Text enth?lt. Automatisch generierte Beschreibung] <https://www.youtube.com/user/GESIStv> [Ein Bild, das Grafiken, Kreis, Symbol, Logo enth?lt. Automatisch generierte Beschreibung] <https://blog.gesis.org/> [cid:image010.png@01DC8ED1.32272ED0] <https://sciences.social/@GESIS> You can find our information on data protection under https://www.gesis.org/en/institute/data-protection

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DATA RELEASE: GERMAN SOCIAL COHESION PANEL - WAVE 1-2 (SCP 2021-22 W1-2)
by Jean-Yves Gerlitz 26 Jan '26

26 Jan '26

Dear Colleagues, We are happy to announce the *release* of the***Scientific Use File* *"**German Social Cohesion Panel 2021-2022 - Wave 1-2"* (SCP 2021-22 W1-2; see https://fgz-risc-data.de/datenportal/datenangebot/german_social_cohesion_pa…) *HIGHLIGHTS* - Data of *WAVE 2* focusing on "*Environment & Infrastructure*" and "*Inequality & Evaluation of Own Situation*" - *The RISC Milieus* (see Groh-Samberg et al. 2023) as newly generated variables - *Updated weights* for ALL WAVES, which now include education as a raking variable * **The German Social Cohesion Panel: * The SCP is a newly established longitudinal study that captures multiple aspects of social cohesion in Germany. It is based on a representative population *sample drawn from the German population registers* and was carried out for the first time in 2021. The *annual survey* is directed not only at the selected individuals (N=13,053) but also at all other adult household members (N=3,974). The SCP is funded by the Federal Ministry of Research, Technology and Space (BMFTR), led in cooperation by the Research Institute Social Cohesion (RISC) and the German Socio-Economic Panel (SOEP), and implemented by the survey institute infas. *Data Access:* The SCP can be ordered by all *p**ost-doctoral researchers affiliated with a scientific institution*. For that purpose, please set up a *data user account* at https://fgz-risc-data.de/en/registration if not yet done. You can use this account in the future to order all Scientific Use Files available at the Research Data Centre of the Research Institute Social Cohesion (RDC-RISC). Account holders (primary users) may share the data with researchers under their supervision (secondary users). Secondary users must be listed in the primary user's data user account and must sign a privacy policy, which must be archived by the primary user. We would like to point out that we provide data for *scientific use only*. If you have any questions, please contact us at fgzdz(a)uni-bremen.de. Best regards, The team of the RDC-RISC -- Dr. Jean-Yves Gerlitz Koordinator des Forschungsdatenzentrums Logo FGZ Forschungsinstitut Gesellschaftlicher Zusammenhalt *Forschungsdatenzentrum des FGZ* SOCIUM, University of Bremen P.O. Box 330 440 28334 Bremen Germany Coordinator of the Research Data Centre, Research Institute Social Cohesion, Research Data Centre of the RISC Telefon: +49 (0) 421 218 570 88 <tel:+49 (0) 421 218 570 88> E-mail: jean-yves.gerlitz(a)fgz-risc.de <mailto:jean-yves.gerlitz@fgz-risc.de> www.fgz-risc.de <https://fgz-risc.de>| https://fgz-risc-data.de/ Bluesky <https://bsky.app/profile/fgz-risc.bsky.social> Mastodon <https://wisskomm.social/@fgz_risc> YouTube <https://www.youtube.com/@fgz_risc> Instagram <https://www.instagram.com/fgz_risc/> LinkedIn <https://de.linkedin.com/company/fgz-risc> Newsletter <https://fgz-risc.de/newsletter>

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Reminder: CS3 Meeting for Computational Survey and Social Science
by Claaßen, Joshua 26 Jan '26

26 Jan '26

***Apologies for cross-posting Dear colleagues, This is a gentle reminder for the next CS3 meeting with Melanie Revilla (University Pompeu Fabra) talking about Beyond clicks and text: Integrating new types of data into web surveys<https://jkhoehne.eu/wp-content/uploads/2026/01/CS3_meeting_MR.pdf> on January 28, 2026, from 3:15 to 4:00 PM (CET). Please sign up for the meeting by January 27, 2026: 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.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 | E-Mail: claassen(a)dzhw.eu<mailto:claassen@dzhw.eu> | Bluesky: @jclaass.bsky.social Most recent publications: - Claassen, J., Höhne, J.K., Bach, R., & Haensch, A.-C. (2026). Identifying bots through LLM-generated text in open narrative responses: A proof-of-concept study. Social Science Computer Review. https://doi.org/10.1177/08944393251408022 - Claassen, J., Höhne, J.K., & Kuhlmann, J. (2025). Asking for feedback: Innovating final comment questions in self-administered web surveys. Journal of Survey Statistics and Methodology. https://doi.org/10.1093/jssam/smaf018 - Claassen, J., Lenzner, T., Höhne, J.K., & Ziller, C. (2025). A survey mode of the future? Investigating respondents' willingness to participate in self-administered video-based web surveys. Methods Data Analyses. https://doi.org/10.12758/mda.2025.10 - Höhne, J.K., Claassen, J., Kühne, S., & Zindel, Z. (2025). Social media ads for survey recruitment: Performance, costs, user engagement. International Journal of Market Research. https://doi.org/10.1177/14707853251367805 - Höhne, J.K., Claassen, J., & Wolf, B.L. (2025). LLM-driven bot infiltration: Protecting web surveys through prompt injections. International Journal of Social Research Methodology. https://doi.org/10.1080/13645579.2025.2598606 Visit us also on Mastodon [cid:image001.jpg@01DC8E9C.F4EF7B50] <https://eduresearch.social/@DZHW> & Linkedin [cid:image002.jpg@01DC8E9C.F4EF7B50] <https://www.linkedin.com/company/dzhw-gmbh> Registr<https://www.linkedin.com/company/dzhw-gmbh>ation court: Amtsgericht Hannover | HRB 210251 Chairman of the supervisory board: Ministerialdirigent Peter Greisler Scientific Director: Dr. Marcus Beiner Administrative Director: Regina Oelfke VAT No. DE291239300 | TAX ID No. 25/206/21502 Registergericht: Amtsgericht Hannover | HRB 210251

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CS3 Meeting for Computational Survey and Social Science
by Claaßen, Joshua 21 Jan '26

21 Jan '26

***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. Melanie Revilla (University Pompeu Fabra) talks about Beyond clicks and text: Integrating new types of data into web surveys<https://jkhoehne.eu/wp-content/uploads/2026/01/CS3_meeting_MR.pdf> on January 28, 2026, from 3:15 to 4:00 PM (CET). Please sign up for the meeting by January 27, 2026: 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.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 | E-Mail: claassen(a)dzhw.eu<mailto:claassen@dzhw.eu> | Bluesky: @jclaass.bsky.social Most recent publications: - Claassen, J., Höhne, J.K., Bach, R., & Haensch, A.-C. (2026). Identifying bots through LLM-generated text in open narrative responses: A proof-of-concept study. Social Science Computer Review. DOI: 10.1177/08944393251408022 - Claassen, J., Höhne, J.K., & Kuhlmann, J. (2025). Asking for feedback: Innovating final comment questions in self-administered web surveys. Journal of Survey Statistics and Methodology. DOI: 10.1093/jssam/smaf018 - Claassen, J., Lenzner, T., Höhne, J.K., & Ziller, C. (2025). A survey mode of the future? Investigating respondents' willingness to participate in self-administered video-based web surveys. Methods Data Analyses. DOI: 10.12758/mda.2025.10 - Höhne, J.K., Claassen, J., Kühne, S., & Zindel, Z. (2025). Social media ads for survey recruitment: Performance, costs, user engagement. International Journal of Market Research. DOI: 10.1177/14707853251367805 - Höhne, J.K., Claassen, J., & Wolf, B.L. (2025). LLM-driven bot infiltration: Protecting web surveys through prompt injections. International Journal of Social Research Methodology. DOI: 10.1080/13645579.2025.2598606 Registr<https://www.linkedin.com/company/dzhw-gmbh>ation court: Amtsgericht Hannover | HRB 210251 Chairman of the supervisory board: Ministerialdirigent Peter Greisler Scientific Director: Dr. Marcus Beiner Administrative Director: Regina Oelfke VAT No. DE291239300 | TAX ID No. 25/206/21502 Registergericht: Amtsgericht Hannover | HRB 210251

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DACH-CSS 2026 (Registration open)
by Kühne, Simon 19 Jan '26

19 Jan '26

Dear colleagues, We are pleased to announce that registration is now open for DACH-CSS 2026 – the third edition of the DACH Conference on Computational Social Science – titled “Democracy at Risk? Societal Challenges, Data, and Research Infrastructures in the Age of CSS”. The event is organized by the Complexity Science Hub and Central European University. 📅 Date: May 21–22, 2026 📍 Location: Vienna, Austria 🔗 Program and Registration: https://computational-social-science.org/workshops/2026.html#conference-reg… This annual CSS conference brings together researchers from the German-speaking area and beyond. In 2026, we focus on how computational social science can help understand democratic challenges, data access, and research infrastructures in the digital age, covering topics such as: * Using CSS to study (threats to) democracy (e.g., the role of big tech in shaping public opinion; the erosion of and improving the resilience of democratic institutions) * Obstacles to the analytical potential of CSS (e.g., the impact of insufficient data access and methodological limitations on early-career researchers; risks posed by black-box generative AI tools; platform governance and transparency) * Advancing the independence of CSS data access, tools, and infrastructures (e.g., developing tools for accessing new data sources; creating infrastructures independent of big tech; tackling legal ambiguities and researcher risks) The program will include keynotes by Laura K. Nelson and Philipp Lorenz-Spreen, further invited talks, a panel discussion and early career researcher contributions (including an early career researcher award worth 500 EUR), as well as ample networking opportunities. Participation does not require a presenting role unless you want to present in the early career session (deadline February 20, 2026). Notifications of acceptance will be sent in March 2026. Early career researchers may apply for travel grants during the registration process. We look forward to seeing you in Vienna! The Organizing Team (Lisette Espín-Noboa, Mark Wittek, Dorian Tsolak, Ruben Bach, Andreas Blätte, Nikolitsa Grigoropoulou, Valerie Hase, Simon Kühne, and Sebastian Stier) --- Prof. Dr. Simon Kühne Social Data Science Universität Bielefeld, Fakultät für Soziologie Web: https://www.uni-bielefeld.de/fakultaeten/soziologie/fakultaet/personen/kueh…

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Call for papers: 7th MASS workshop in Barcelona – 4 & 5 June 2026
by Höhne, Jan Karem 19 Jan '26

19 Jan '26

Call for papers: 7th MASS workshop in Barcelona – 4 & 5 June 2026 7th MASS Workshop, jointly organised with WEB DATA OPP Mobile Apps and Sensors in Surveys https://massworkshop.org WEB DATA OPP https://www.upf.edu/web/webdataopp Date 4-5 June, 2026 Location: University Pompeu Fabra, Barcelona (Spain) Organizing committee Jan Karem Höhne (DZHW, Leibniz University Hannover), Peter Lugtig (Utrecht University), Florian Keusch (University of Mannheim), Bella Struminskaya (Utrecht University), Melanie Revilla (RECSM-University Pompeu Fabra) Context of the workshop Mobile devices allow researchers to collect data through built-in sensors, such as GPS, accelerometers, and other sensors, passively collect data in-browser, and use apps in addition to self-reports. Passive mobile data collection can potentially decrease measurement errors and reduce respondent burden. Active data collection using apps, camera, microphone, and other sensors allows researchers to broaden the research questions they want to study. Incorporating new measurements to augment or replace survey questions through sensors and apps brings challenges for representativeness, survey design and implementation, and measurement. This also includes ethical and legal considerations that are yet to be understood. The goal of this workshop is to bring together around 40 researchers from different disciplines to discuss the current state of their work on the use of mobile apps and sensors in survey data collection. The workshop is only open to participants whose abstracts will be accepted for a paper presentation. Upon acceptance participants are expected to submit a handout (max. of 5 pages). The workshop is free of charge for participants, but participants are expected to cover their own travel and lodging costs. We have some travel support funds available this year (see submission below). The program as well as some presentations from six earlier MASS workshops can be found at materials from earlier workshops Scope of the workshop The seventh MASS workshop is organised in collaboration with the WEB DATA OPP project, led by Melanie Revilla, and funded by the ERC under the European Union's Horizon 2020 research and innovation programme (grant agreement No. 849165). We invite contributions that focus on the following methodological issues of using mobile apps, sensors, and wearables in surveys that are linked to Mobile Apps and Sensors in Surveys (MASS) and new Web data opportunities (WEB DATA OPP): Methodology: • Technical aspects of mobile apps and sensors; including different ways to collect sensor data, building apps for Android and iOS and data processing and storage • Study and app design; including the look and feel of apps, usability studies, use of incentives and giving feedback to respondents • Implementation; including willingness to participate and informed consent, methods to invite and communicate with study participants, study length and study intensity, legal considerations and ethical and privacy considerations • Quality of sensor data, including errors of non-representation (e.g., self-selection, coverage, and nonparticipation) and measurement error (e.g., prevention, modeling, and correction) • Data analysis; including analyzing sensor data (e.g., through machine and deep learning), combining survey, sensor, and app data Web data opportunities: • Webtracking • Visual and voice data • Geolocations • In-the moment surveys We encourage submission of work in progress and are particularly interested in studies that use experimental designs to test strategies to collect data from mobile apps, sensors, and wearables. We are open to both empirical studies as well as descriptions of research data collection infrastructure (e.g., front- or backend of an app) and processing of data from apps and sensors. Submission process: Please submit your abstract (max. 500 words) for the workshop to massworkshop(a)zohomail.eu<mailto:massworkshop@zohomail.eu>. The abstract should contain a research question, data collection procedures/the description of the app, and results if available. If results are not available yet, the abstract should outline the type of analyses that will be presented at the workshop and whether data collection took place already. We have some funding available for travel and lodging support. Please indicate whether you need travel support in your submission: • Yes, I need travel support • No, I do not need travel support Participation in the workshop is only possible when an abstract is accepted for the workshop. We intend to keep the workshop limited to about 40 participants. Timeline: • 20 January 2026: Deadline for abstract submission. • 20 February 2026: Feedback on acceptance will be provided. • 6 March 2026: Registration deadline. • 20 May 2026: Deadline for handout submission – all participants will be required to submit a 5-page handout presenting context, screenshots, tables, or other supporting materials for the workshop. All participants are expected to read all handouts before coming to the workshop. 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: - Claassen, J., Lenzner, T., Höhne, J.K., & Ziller, C. (2025). A survey mode of the future? Investigating respondents’ willingness to participate in self-administered video-based web surveys. Methods Data Analyses. https://doi.org/10.12758/mda.2025.10 - Höhne, J.K., Claassen, J., Kühne, S., & Zindel, Z. (2025). Social media ads for survey recruitment: Performance, costs, user engagement. International Journal of Market Research. https://doi.org/10.1177/14707853251367805 - 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. https://doi.org/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. https://doi.org/10.1177/14707853241297009 - 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. https://doi.org/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. https://doi.org/10.1093/jssam/smae031 Visit us also on [cid:image001.jpg@01DC4E3F.EAA30290] <https://eduresearch.social/@DZHW> & Linkedin [cid:image002.jpg@01DC4E3F.EAA30290] <https://www.linkedin.com/company/dzhw-gmbh> Registr<https://www.linkedin.com/company/dzhw-gmbh>ation court: Amtsgericht Hannover | HRB 210251 Chairman of the supervisory board: Ministerialdirigent Peter Greisler Scientific Director: Dr. Marcus Beiner Administrative Director: Regina Oelfke VAT No. DE291239300 | TAX ID No. 25/206/21502 Registe<https://www.linkedin.com/company/dzhw-gmbh>rgericht: Amtsgericht Hannover | HRB 210251

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Call for Abstracts – DEAS-Nutzer:innenworkshop
by Stuth, Stefan 14 Jan '26

14 Jan '26

Wir laden euch herzlich ein, euren Work in Progress und Forschungsergebnisse auf dem DEAS-Nutzer:innenworkshop vom 20.-21.04.2026 am DZA in Berlin zu präsentieren. Was erwartet euch? * Spannende Präsentationen und Diskussion empirischer Arbeiten auf Basis der DEAS-Daten * Viel Raum für methodische und inhaltliche Diskussionen * Sneak Peak auf die Neuerungen im DEAS 2026 * Direkter Austausch mit dem DEAS-Team (Konzeption & Durchführung) und dem FDZ-Team (Dokumentation, Datenzugang & Beratung) Wer kann teilnehmen? Eingeladen sind Studierende, Promovierende und Wissenschaftler:innen aller Disziplinen, die mit dem Deutschen Alterssurvey arbeiten, gearbeitet haben oder künftig arbeiten möchten. Willkommen sind Beiträge aus allen Stadien des Forschungsprozesses – von ersten Ideen bis hin zu veröffentlichten Artikeln. Einreichung von Abstracts Bitte sendet euer einseitiges Abstract bis 22. Februar 2026 an Nicole Hameister und Stefan Stuth (fdz(a)dza.de<mailto:fdz@dza.de>). Organisation Der Workshop wird vom Forschungsdatenzentrum des DZA organisiert. Weitere Informationen: www.fdz-dza.de<http://www.fdz-dza.de> ----- Dr. Stefan Stuth Leiter Informationssysteme und Forschungsdatenzentrum / Head of Scientific Information Systems and Research Data Centre Deutsches Zentrum für Altersfragen / German Centre of Gerontology Manfred-von-Richthofen-Str. 2 12101 Berlin, Germany Tel: +4930 260 740-75 E-Mail: stefan.stuth(a)dza.de<mailto:stefan.stuth@dza.de> Internet: www.dza.de <http://www.dza.de/> Neu erschienen: Kortmann, L., Stuth, S., & Simonson, J. (2023). Digitalisation, gender and training of employees in the second half of working life in Germany. Soziale Welt, 74(4), 589 - 613. doi: https://doi.org/10.5771/0038-6073-2023-4-589 Wünsche, J., Spuling, S. M., Nowossadeck, S. & Stuth, S. (2023, online first). "Ältere Menschen im ersten Jahr der COVID-19-Pandemie: Gesundheitsrelevante Befunde aus dem Deutschen Alterssurvey (DEAS)." Bundesgesundheitsblatt - Gesundheitsforschung - Gesundheitsschutz: 1-9. https://doi.org/10.1007/s00103-023-03656-w

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