Methoden

methoden@mailman.uni-konstanz.de

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Datenveröffentlichung: Teilhabesurvey - Repräsentativbefragung zur Teilhabe von Menschen mit Behinderungen
by Menze, Laura 22 Jan '25

22 Jan '25

Liebe Kolleginnen und Kollegen, gerne möchten wir Sie auf neu verfügbare Daten für die Forschung aufmerksam machen: Die erste Welle der "Repräsentativbefragung zur Teilhabe von Menschen mit Behinderungen" (kurz Teilhabesurvey) wurde zwischen 2018 und 2020 im Auftrag des Bundesministeriums für Arbeit und Soziales (BMAS) vom infas Institut für angewandte Sozialwissenschaft durchgeführt. In dieser Studie wurden 22.065 Menschen mit und ohne Beeinträchtigungen oder Behinderungen in Privathaushalten sowie 3.354 Bewohnerinnen und Bewohner in Wohneinrichtungen der Eingliederungshilfe und Altenpflege befragt. Es wurden Teilhabemöglichkeiten in vielfältigen Lebensbereichen abgefragt, u.a. Teilhabe an Bildung und Erwerbsleben sowie soziale und politische Teilhabe. Ab sofort steht folgender Scientific Use File zur wissenschaftlichen Nachnutzung zur Verfügung: Scientific Use File des Teilhabesurveys, Welle 1, Version 1, https://doi.org/10.48697/teilhabe.w1.suf.1 Die Bereitstellung des Scientific Use Files erfolgt über das Forschungsdatenzentrum der Bundesanstalt für Arbeitsschutz und Arbeitsmedizin (FDZ-BAuA). Weitere Informationen zu Datensatz und Datenzugang finden Sie unter: https://www.baua.de/DE/Forschung/Forschungsdaten/Teilhabesurvey-BMAS Gerne beantworten wir Ihre Fragen zu den Daten (forschungsdaten(a)baua.bund.de)! Mit besten Grüßen Laura Menze ----------------------- Dr. Laura Menze Leiterin Forschungsdatenzentrum Strategisches Forschungs- und Entwicklungsmanagement b a u a : Bundesanstalt für Arbeitsschutz und Arbeitsmedizin Nöldnerstr. 40-42 10317 Berlin Telefon: +49 (0) 30 51548 4168 E-Mail: menze.laura(a)baua.bund.de Homepage: http://www.baua.de/fdz

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Antw: Methoden Nachrichtensammlung, Band 240, Eintrag 6 (Verzögerungen im Beantworten von E-Mails / Delay in responses)
by Dimitri Prandner 22 Jan '25

22 Jan '25

Dear colleagues, thank you for your message. I am out of office at the moment, as I'm currently ooO because of training. I will be back at the office at Tue. 28th. I will answer your e‐mail as soon as possible. Dimitri Prandner >>> <methoden-request(a)mailman.uni-konstanz.de> 01/22/25 12:00 >>> Um E-Mails an die Liste Methoden zu schicken, nutzen Sie bitte die Adresse methoden(a)mailman.uni-konstanz.de Um sich via Internet von der Liste auszutragen oder in die Liste einzutragen: https://mailman.uni-konstanz.de/mailman/listinfo/methoden Oder schicken Sie eine E-Mail mit dem Wort "help" in der Betreffzeile oder im Text an methoden-request(a)mailman.uni-konstanz.de Sie können den Verwalter dieser Liste unter der Adresse methoden-owner(a)mailman.uni-konstanz.de erreichen. Wenn Sie antworten editieren bitte Sie die Betreffzeile auf einen sinnvollen Inhalt der spezifischer ist als "Re: Contents of Methoden digest..." Meldungen des Tages: 1. Upcoming GESIS Training CSS Courses (Kunz, Verena) ---------------------------------------------------------------------- Message: 1 Date: Wed, 22 Jan 2025 10:37:47 +0000 From: "Kunz, Verena" <Verena.Kunz(a)gesis.org> To: "methoden(a)mailman.uni-konstanz.de" <methoden(a)mailman.uni-konstanz.de> Subject: [Methoden] Upcoming GESIS Training CSS Courses Message-ID: <FR1PPF1DA7D93133CE873F059C5D0EDFE28EAE12(a)FR1PPF1DA7D9313.DEUP281.PROD.OUTLOOK.COM> Content-Type: text/plain; charset="iso-8859-1" Dear colleagues, Are you looking to enhance your computational social science toolkit? Then check out our exciting line-up of CSS courses that we offer in the coming months: * 11.02. - 14.02. "Applied Machine Learning with R<https://training.gesis.org/?site=pDetails&child=full&pID=0xF6171F58E29F4CCD…>" (online; **note the short registration deadline for this course**) * 11.03. - 13.03. "Collecting and Analyzing Longitudinal Social Network Data<https://training.gesis.org/?site=pDetails&child=full&pID=0x40624B32789D4425…>" (online) * 31.03. - 02.04. "Design and Methods for Mobile Data Collection<https://training.gesis.org/?site=pDetails&child=full&pID=0xE354FB0C1F9B4734…>" (online) * 01.04. - 03.04. "Introduction to Computational Text Analysis with R<https://training.gesis.org/?site=pDetails&child=full&pID=0x4438DAE0C5464301…>" (online) * 28.04. - 29.04. "Advanced Geospatial Data Processing for Social Scientists<https://training.gesis.org/?site=pDetails&child=full&pID=0x5948F7543A5E42CF…>" (online) * 02.06. - 03.06. "Preprocessing and Analyzing Web Tracking Data<https://training.gesis.org/?site=pDetails&child=full&pID=0x5A347DB3D9A4465D…>" (hybrid, i.e. attendance is possible online or on-site in Cologne) * 02.06. - 04.06. "Adapters: Lightweight Machine Learning for Social Science Research<https://training.gesis.org/?site=pDetails&child=full&pID=0x0CA3CCE8F91D4F1E…>" (hybrid, i.e. attendance is possible online or on-site in Cologne) You can find a complete schedule of GESIS Training courses here<https://training.gesis.org/>. We'd also appreciate if you'd forward this announcement to other potentially interested colleagues in your network. If you have any questions or require further information, please don't hesitate to contact us. Best wishes, The GESIS Training team -------------- nächster Teil -------------- Ein Dateianhang mit HTML-Daten wurde abgetrennt... URL: <http://mailman.uni-konstanz.de/pipermail/methoden/attachments/20250122/1c06…> Ende Methoden Nachrichtensammlung, Band 240, Eintrag 6 ******************************************************

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Upcoming GESIS Training CSS Courses
by Kunz, Verena 22 Jan '25

22 Jan '25

Dear colleagues, Are you looking to enhance your computational social science toolkit? Then check out our exciting line-up of CSS courses that we offer in the coming months: * 11.02. - 14.02. "Applied Machine Learning with R<https://training.gesis.org/?site=pDetails&child=full&pID=0xF6171F58E29F4CCD…>" (online; **note the short registration deadline for this course**) * 11.03. - 13.03. "Collecting and Analyzing Longitudinal Social Network Data<https://training.gesis.org/?site=pDetails&child=full&pID=0x40624B32789D4425…>" (online) * 31.03. - 02.04. "Design and Methods for Mobile Data Collection<https://training.gesis.org/?site=pDetails&child=full&pID=0xE354FB0C1F9B4734…>" (online) * 01.04. - 03.04. "Introduction to Computational Text Analysis with R<https://training.gesis.org/?site=pDetails&child=full&pID=0x4438DAE0C5464301…>" (online) * 28.04. - 29.04. "Advanced Geospatial Data Processing for Social Scientists<https://training.gesis.org/?site=pDetails&child=full&pID=0x5948F7543A5E42CF…>" (online) * 02.06. - 03.06. "Preprocessing and Analyzing Web Tracking Data<https://training.gesis.org/?site=pDetails&child=full&pID=0x5A347DB3D9A4465D…>" (hybrid, i.e. attendance is possible online or on-site in Cologne) * 02.06. - 04.06. "Adapters: Lightweight Machine Learning for Social Science Research<https://training.gesis.org/?site=pDetails&child=full&pID=0x0CA3CCE8F91D4F1E…>" (hybrid, i.e. attendance is possible online or on-site in Cologne) You can find a complete schedule of GESIS Training courses here<https://training.gesis.org/>. We'd also appreciate if you'd forward this announcement to other potentially interested colleagues in your network. If you have any questions or require further information, please don't hesitate to contact us. Best wishes, The GESIS Training team

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Call for Papers 6th Mobile Apps and Sensors in Surveys (MASS) Workshop ends this week
by Höhne, Jan Karem 20 Jan '25

20 Jan '25

Call for Papers 6th MASS Workshop Mobile Apps and Sensors in Surveys https://massworkshop.org Date 4-5 June 2025 Location London School of Economics (LSE), London, UK Organizing committee Local organizers: Patrick Sturgis (London School of Economics), Oriol Bosch (Oxford University) Scientific committee: Bella Struminskaya (Utrecht University), Peter Lugtig (Utrecht University), Florian Keusch (University of Mannheim), and Jan Karem Höhne (DZHW, Leibniz University Hannover) 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. The program, selected presentations and keynotes from five earlier MASS workshops can be found at https://massworkshop.org. Scope of the workshop For the sixth MASS workshop, we invite contributions that focus, among others, on the following methodological issues when using mobile apps, sensors, and wearables in surveys: * Technical aspects of mobile apps and sensors * Different ways to collect sensor data * Building apps for Android and iOS * Data processing and storage * Study and app design * Look and feel of apps * Usability studies * Use of incentives * Giving feedback to respondents * Implementation * Willingness to participate and informed consent * Methods to invite and communicate with study participants * Study length and study intensity * Legal considerations * Ethical and privacy considerations * Quality of sensor data * Errors of non-representation (e.g., self-selection, coverage, and nonparticipation) * Measurement error (e.g., prevention, modeling, and correction) * Data analysis * Analyzing sensor data (e.g., through machine and deep learning) * Combining survey, sensor, and app data 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 and infrastructure (e.g., front- or backend of an app) and processing of data from apps and sensors. Submission process and timeline 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. 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: * 22 January 2025: Deadline for abstract submission. * 14 February 2025: Feedback on acceptance will be provided. * 20 May 2025: 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. * 4 June 2025: Start of MASS 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: - 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 - Salvatore, C., & Höhne, J.K. (2024). 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

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Call for workshop papers: "Immigration, Public Opinion, and Crime in the Digital Age - Leveraging online data sources with insights from traditional survey methods"
by Naegel, Christof 17 Jan '25

17 Jan '25

Dear colleagues, We are hosting a workshop bringing together scholars using online and offline data sources to inform research on immigration, public opinion, and crime. We invite abstract submissions from researchers working on these topics by the 1st of March 2025. The workshop will take place at the University of Cologne on the 28th and 29th of April. Please find the full workshop call attached. Kind Regards, Christof Nägel, Ana Macanovic, Max Pickartz, and Mark Wittek

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CfP: RC33 11th International Conference on Social Science Methodology, deadline: 15.03.24
by Vanessa Torres van Grinsven 16 Jan '25

16 Jan '25

Dear colleagues, As a co-organizer of the session /USING VISUAL METHODS IN UNSTRUCTURED DATA COLLECTION FOR HARD TO STUDY POPULATIONS/ at the 11th International Conference on Social Science Methodology (https://rc33.org/rc33_eleventh_international_conference_naples/ ), I would like to bring this session to your attention. Here’s the description: /This session focusses on research that explores, develops, or tests visual methods applied in unstructured data collection efforts for hard to study populations. These are populations like low literate people, people with cognitive limitations, (mental) health challenges, or subgroups with physical restraints like in hearing or speaking, whose voices may be under- or misrepresented in research. They all have in common to be at greater risk of communicative, cognitive, and/or motivational restraints. As a result, these limitations may pose a threat to data quality and research findings may be hampered. / /In this session, we welcome theoretical and empirical contributions that address the use of visual methods in unstructured data collection for hard to study populations. The visual methods may be applied to address: cognitive and communicative processes; verbal and non-verbal behavior; power differences in research; sensitive topics and emotional burden; or other interactive aspects of data collection. They may also be applied in the development of tools and instruments, as aided recall tool, or to map data visually./ /While the use of visual methods for unstructured qualitative data collection should be in the center of the focus, the aim of the research may be directed towards theoretical, qualitative, quantitative, or mixed methods research. / /Hence, this session invites papers dealing with innovative visual approaches to collect unstructured data from special populations. / I would like to invite you all to have a look, and we are looking forward to receiving your contributions BY THE 15TH OF MARCH. More information can be found here: https://rc33.org/call-for-abstract-rc33-eleventh-international-conference-o… , under SESSION NR. 20. DR. VANESSA TORRES VAN GRINSVEN | Assistant Professor Faculty of Psychology | Section Theory, Methods and Statistics visiting adress: Valkenburgerweg 177 Heerlen postal adresss: Postbus 2960 6401 DL Heerlen Workdays: Mon – Tue – Wed – Thu

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Call for Participation: 2025 Meeting of the SEM Working Group at the TU Chemnitz
by Henrik Andersen 13 Jan '25

13 Jan '25

Dear colleagues, the Working Group on Structural Equation Modeling is an informal group of researchers interested in SEM. It was founded at ZUMA in Mannheim in 1986 and has met yearly since 2007 to discuss recent advancements in the field. The next meeting will be taking place at the University of Technology Chemnitz on 20-21 March 2025. Yves Rosseel will be giving a pre-conference workshop on the Structural After Measurements Approach to SEM on 19 March 2025. The preliminary conference programme can be found at: https://www.tu-chemnitz.de/hsw/soziologie/Professuren/Empirische_Sozialforsc hung/SEM/meetings.php. We are writing to let you know that the meeting is open to passive participation. If you are interested in finding out about the newest advancements and innovations in SEM, come and join us in Chemnitz this March! Please register using the following form: <https://www.tu-chemnitz.de/hsw/soziologie/Professuren/Empirische_Sozialfors chung/SEM/Meeting2025/reg.php> https://www.tu-chemnitz.de/hsw/soziologie/Professuren/Empirische_Sozialforsc hung/SEM/Meeting2025/reg.php. There is no participation fee. Information about the venue and accommodation can be found in the programme. Also: if you would like to stay informed about future meetings and other SEM-related news, you can become a member of the working group (no fees nor obligations) and sign up for the newsletter. Just write an email with the subject line sem working group to our secretary, Mrs. Hallbauer ( <mailto:anne.hallbauer@hsw.tu-chemnitz.de> anne.hallbauer(a)hsw.tu-chemnitz.de). Hope to see you in March! Kind regards, Jochen Mayerl & Henrik Andersen -- Dr. Henrik Andersen Professur Soziologie mit Schwerpunkt Empirische Sozialforschung Fakultät für Human- und Sozialwissenschaften Technische Universität Chemnitz Thüringer Weg 9 | R. C34.022 (alt: 2/TW9/022) 09126 Chemnitz Germany Tel: +49 371 531-37107 <mailto:henrik.andersen@soziologie.tu-chemnitz.de> henrik.andersen(a)soziologie.tu-chemnitz.de <http://www.tu-chemnitz.de> www.tu-chemnitz.de

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CS3 Meeting for Computational Survey and Social Science
by Claaßen, Joshua 08 Jan '25

08 Jan '25

***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. Anke Radinger, Ulrike Efu Nkong, and Dorothée Behr (GESIS Leibniz Institute for the Social Sciences) talk about "Comparing professional translators and social scientists when producing questionnaire translations from scratch vs. based on machine translation output<https://jkhoehne.eu/wp-content/uploads/2024/07/CS3_meeting_AR.pdf>" on January 16, 2025, from 3:15 to 4:00 PM (CET). 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.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> | Twitter: @JClaass 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 Visit us also on X (formerly Twitter) [Ein Bild, das Schwarz, Dunkelheit enthält. Automatisch generierte Beschreibung] <https://twitter.com/dzhw_info> & Linkedin [cid:image002.jpg@01DB61AE.EDFCC0D0] <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: Prof. Dr. Monika Jungbauer-Gans Administrative Director: Axel Tscherniak VAT No. DE291239300 | TAX ID No. 25/206/21502

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CfP Workshop: "New Data, New Concepts? Sociological Theory and Big, Data in the Era of Computational Social Sciences"
by Sarah Tell 18 Dec '24

18 Dec '24

Dear colleagues, we organize a workshop on concept formation and theory building in the era of computational social sciences. The workshop will take place on June 12-13, 2025 in Bremen. Travel expenses for presenting participants can be partially reimbursed. The workshop is in particular relevant for scholars working at the intersection of theory building and social network analysis (with digital data). The Call for Papers is attached below. Looking forward to your contributions! Insa, Josefa, Thomas, and Sarah -- Sarah Tell, M.A. Wissenschaftliche Mitarbeiterin SOCIUM - Forschungszentrum Ungleichheit und Sozialpolitik Universität Bremen Mary-Somerville-Straße 9 D-28359 Bremen ========================================================================================= *New Data, New Concepts? Sociological Theory and Big Data in the Era of Computational Social Sciences* Organizers: Insa Pruisken, Josefa Loebell, Sarah Tell, Thomas Kern (University of Bremen) June 12-13, 2025, Haus der Wissenschaft, Bremen ========================================================================================= The digital age has brought about an unprecedented availability of new and diverse data sources (Macy, 2015, p. 2). Social media platforms, websites, digital archives, sensor networks, and transactional records provide vast quantities of information about human behavior, interaction, and social organization. This influx of new kinds of data has been accompanied by the rapid development of methods to analyze it, particularly within the emerging field of /Computational Social Sciences/. Methods such as social network analysis, quantitative text analysis, and machine learning have advanced significantly and found applications far beyond sociology, extending into fields such as computer science, information science, and social physics (e.g., Tindall et al., 2022). Meanwhile, artificial intelligence and machine learning are increasingly employed to extract patterns, predict behaviors, and model social phenomena (e.g., Borch & Pardo-Guerra, 2023). At the same time, methods have emerged that allow for the analysis of large volumes of textual data (e.g., Evans & Aceves, 2016; Macanovic, 2022; Nelson, 2020). These tools and techniques have transformed the ways in which we approach, frame, and analyze social data. While computational methods and data analytics have expanded our technical capabilities, there is a growing recognition that sociological theory has not evolved at the same pace to adequately address and interpret the complexities of the digital era. Existing theories often struggle to incorporate or make sense of digital phenomena, leading to a gap between empirical findings and theoretical understanding (e.g., Bonikowski & Nelson, 2022; Schwarz, 2021, p. 2). Simultaneously, the traditional role of social theory is fundamentally changing. The challenge shifts “from thinking about the most cost-effective data that one needs to collect in order to support, or refute, a hypothesis, to figuring out how to structure a mountain of data into meaningful categories of knowledge” (Goldberg, 2015, p. 2). To address this challenge, sociologists must engage in /conceptual and theoretical innovation/. This involves revising and expanding conceptual frameworks to make them compatible with and relevant to the analysis of digital data. Such an endeavor would not only strengthen the explanatory power of sociology but also enhance its capacity to provide meaningful interpretations of digital interactions, structures, and their societal implications. We ask for contributions that study processes both at the conceptual and interpretative level of social theory and address at least one of the following questions: (1) How do core sociological concepts evolve in the context of processes such as datafication and platformiza¬tion? What do notions like “action” and “agency,” “communication,” or “interaction” mean in the digital space? How should foundational concepts like “social structures” and “order formation” be reinterpreted when they emerge on platforms? What constitutes digital actors and digital “identities”? (2) How do digital platforms – as new forms of social organization – influence the differentiation of society? How do they affect social inequality? How does the culture of society change in relation to its social structure? How are processes of social inequality reconfigured in the digital era? ========================================================================================= *Workshop Format and Submission Guidelines* The workshop is aimed at scholars at various stages of their academic careers. We are seeking contributions that advance the development of sociological theory and, at the same time, engage empirically with digital data or apply methods from Computational Social Sciences. The central question guiding this workshop is to articulate the challenges that arise for sociological theory in response to the engagement with “new data.” Please send your short paper (3 to 5 pages) to Insa Pruisken (pruisken(a)uni-bremen.de <mailto:pruisken@uni-bremen.de>), Josefa Loebell (loebell(a)uni-bremen.de <mailto:loebell@uni-bremen.de>), Sarah Tell (sarah.tell(a)uni-bremen.de <mailto:sarah.tell@uni-bremen.de>), and Thomas Kern (thomas.kern(a)uni-bremen.de <mailto:thomas.kern@uni-bremen.de>). Submission date is *February 14, 2025*. ========================================================================================= *References* Bonikowski, B., & Nelson, L. K. (2022). From Ends to Means: The Promise of Computational Text Analysis for Theoretically Driven Sociological Research. Sociological Methods & Research, 51(4), 1469–1483. Borch, C., & Pardo-Guerra, J. (Eds.). (2023). The Oxford Handbook of the Sociology of Machine Learning. Oxford University Press. Evans, J. A., & Aceves, P. (2016). Machine Translation: Mining Text for Social Theory. Annual Review of Sociology, 42, 21–50. Goldberg, A. (2015). In defense of forensic social science. Big Data & Society, 2(2), 1–3. Macanovic, A. (2022). Text mining for social science: The state and the future of computational text analysis in sociology. Social Science Research, 108, 102784. Macy, M. W. (2016). An Emerging Trend: Is Big Data the End of Theory? In R. A. Scott & M. C. Buchmann (Eds.), Emerging Trends in the Social and Behavioral Sciences (pp. 1–14). Wiley. Nelson, L. K. (2020). Computational Grounded Theory: A Methodological Framework. Sociological Methods & Research, 49(1), 3–42. Schwarz, O. (2021). Sociological Theory for Digital Society: The Codes that Bind Us Together. Polity Press. Tindall, D., McLevey, J., Koop-Monteiro, Y., & Graham, A. (2022). Big data, computational social science, and other recent innovations in social network analysis. Canadian Review of Sociology, 59(2), 271–288.

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10 Minuten Befragungszeit für Ihre Studie zum Anlass des 10. Geburtstag des GESIS Panel
by Rembser, Lena 18 Dec '24

18 Dec '24

Liebe Kolleginnen und Kollegen, das GESIS Panel ist 10 Jahre alt geworden! Wir freuen uns, Sie zu diesem Anlass zu einem einmaligen Call einzuladen: 10 Minuten Befragungszeit im GESIS Panel.pop zum 10. Geburtstag! Das GESIS Panel.pop Population Sample ist ein Mixed-Mode Panel aufbauend auf zufallsbasierten Stichproben der erwachsenen deutschsprachigen Wohnbevölkerung in Deutschland und erlaubt damit Schlüsse auf die Allgemeinbevölkerung. Etwa 5.000 Befragte werden viermal pro Jahr webbasiert oder per Papierfragebogen interviewt. Nach 10 Jahren Datenerhebung mit dem GESIS Panel.pop im regulären Betrieb ist ein thematisch diverser Datensatz mit quer- und längsschnittlichen Befragungsmodulen entstanden (inklusive der GESIS Panel.pop längsschnittlichen Kernstudien<https://www.gesis.org/gesis-panel/dokumentation/dokumentation-gesis-panelpo…>). Alle Forschenden haben Zugriff auf den gesamten Datensatz des GESIS Panel.pop<https://www.gesis.org/gesis-panel/datenzugang> (bislang 53 Befragungswellen), den relevanten Variablen für die Soziologie, Psychologie, Politikwissenschaft, Wirtschaftswissenschaften und andere Disziplinen enthalten. Forschende können über Regular Submissions<https://www.gesis.org/gesis-panel/datenerhebung/datenerhebung-gesis-panelpo…> oder Short Submissions<https://www.gesis.org/gesis-panel/datenerhebung/datenerhebung-gesis-panelpo…> die Survey-Fragen für Ihre Forschung zur kostenlosen Datenerhebung einreichen - allerdings sind Befragungsslots auf eine Dauer von maximal fünf Minuten begrenzt. Zum Anlass des 10. Geburtstag des GESIS Panel.pop bieten wir nun einmalig einen Survey Slot mit einer Befragungsdauer von 10 Minuten an (maximal 50 Survey-Fragen/Items). Die Einreichungen im Rahmen dieses Calls durchlaufen eine kompetitive Begutachtung, wobei die beste Studie den Erhebungsslot für eine Datenerhebung erhält. Feldzeit und Einreichungsfrist Für den Call wurde ein Erhebungsslot in einer unserer Erhebungswellen im Jahr 2026<https://www.gesis.org/gesis-panel/dokumentation/dokumentation-gesis-panelpo…> reserviert (Welle "nb", "nc" oder "nd"). Die Deadline zum Einreichen im Rahmen dieses 10-Jahres-Call ist der 31. Mai 2025. Spätestens im Herbst 2025 steht fest, welche Einreichung in den zehnminütigen Erhebungsslot integriert wird. Einreichung Füllen Sie bitte unser Einreichungsformular 10-Jahres-Call<https://www.gesis.org/fileadmin/upload/GESIS_Panel/Submissions_GP.pop/GESIS…> (187kB) aus und das GESIS Panel.pop Fragebogen-Template<https://www.gesis.org/fileadmin/upload/GESIS_Panel/Submissions_GP.pop/GESIS…> (21kB). Sie können Ihre Studie auch auf bestehende Variablen des GESIS Panel.pop aufbauen oder diese replizieren. In unserem Codebuch<https://dbk.gesis.org/dbksearch/download.asp?db=E&id=52381> (36MB) und in unserer Studienbeschreibung<https://access.gesis.org/dbk/52787> (3MB) finden Sie einen Überblick über unsere reichhaltigen Daten. Bitte beachten Sie: Für Einreichungen im Rahmen des 10-Jahres-Call sind keine längsschnittlichen Erhebungen oder Experimente möglich. Wir freuen uns auf Ihre Einreichungen per E-Mail an info(a)gesis-panel.org<mailto:info@gesis-panel.org>. Zögern Sie nicht, uns bei Fragen zu kontaktieren. Den Call finden Sie auch auf der Webseite des GESIS Panels: https://www.gesis.org/gesis-panel/datenerhebung/datenerhebung-gesis-panelpo…<https://www.gesis.org/gesis-panel/datenerhebung/datenerhebung-gesis-panelpo…> Die Einreichungspfade des GESIS Panel.pop Sie können jederzeit außerhalb dieses Calls über unsere Einreichungspfade<https://www.gesis.org/gesis-panel/datenerhebung/datenerhebung-gesis-panelpo…> Ihre Studie beim GESIS Panel.pop für eine kostenfreie Datenerhebung einreichen. Die Einreichungen werden fortlaufend begutachtet und in unsere Erhebungswellen platziert. Regular Submissions<https://www.gesis.org/gesis-panel/datenerhebung/datenerhebung-gesis-panelpo…> erlauben die Einreichung von Items mit maximal 5 Minuten Befragungszeit. Zudem können im Rahmen von Regular Submissions Experimente mit bis zu vier Experimentalgruppen implementiert werden. Short Submissions<https://www.gesis.org/gesis-panel/datenerhebung/datenerhebung-gesis-panelpo…> erlauben die Einreichung von Items im Umfang von maximal einer Minute Befragungszeit. Auch im Rahmen von Drittmittelfinanzierten Studien<https://www.gesis.org/gesis-panel/datenerhebung/datenerhebung-gesis-panelpo…> können Sie Ihre Items im GESIS Panel.pop fielden - die Reservierung von Erhebungsslots für bestimmte Wellen bereits vor der Förderungszusage oder vor dem Projektbeginn, ist allerdings mit Kosten verbunden. Längsschnittliche Datenerhebung ist in allen unseren Einreichungspfaden möglich. Das GESIS Panel-Team freut sich über Ihre Einreichung. Beste Grüße, Lena Rembser =============================================================================================== Dear colleagues, The GESIS Panel celebrates its 10th anniversary! We are pleased to invite you to a unique call on this occasion: 10 minutes survey time in the GESIS Panel.pop for the 10th anniversary! The GESIS Panel.pop Population Sample is a mixed-mode panel based on random survey samples of the adult German-speaking population of Germany and thus allows drawing conclusions about the general population. About 5,000 respondents are interviewed four times a year, either web-based or via paper questionnaires. After 10 years of regular data collection with the GESIS Panel.pop, a thematically diverse data set with cross-sectional and longitudinal survey modules has been created (including the GESIS Panel.pop longitudinal Core Studies<https://www.gesis.org/en/gesis-panel/documentation/longitudinal-core-studie…>). All researchers have access to the entire GESIS Panel.pop data<https://www.gesis.org/en/gesis-panel/data-access> (53 survey waves to date), containing relevant variables for sociology, psychology, political science, economics, and other disciplines. Researchers can submit survey questions via Regular Submissions<https://www.gesis.org/en/gesis-panel/data-collection/data-collection-gesis-…> or Short Submissions<https://www.gesis.org/en/gesis-panel/data-collection/data-collection-gesis-…> for their research for data collection free of charge - however, survey slots are limited to a maximum duration of five minutes. To celebrate the 10th anniversary of the GESIS Panel.pop, we offer one survey slot of 10 minutes survey time (maximum of 50 survey questions/items). The submissions within the frame of this call undergo a competitive review, with the best study receiving the survey slot for data collection. Timeline For this call, a survey slot is reserved in one of our survey waves in 2026<https://www.gesis.org/en/gesis-panel/documentation/wave-schedule-gppop> (wave "nb", "nc" or "nd"). The deadline for submitting to this 10th-Anniversary-Call is May 31, 2025. Which submission will be integrated into our ten-minute survey slot will be decided at the latest by fall 2025. How to submit Please fill out our 10th-Anniversary-Call submission form<https://www.gesis.org/fileadmin/upload/GESIS_Panel/Submissions_GP.pop/GESIS…> (187kB) and the GESIS Panel.pop questionnaire template<https://www.gesis.org/fileadmin/upload/GESIS_Panel/Submissions_GP.pop/GESIS…> (21kB). You can also base your study on existing GESIS Panel.pop variables or replicate them. In our Codebook<https://dbk.gesis.org/dbksearch/download.asp?db=E&id=52381> (36MB) and in our Study Description<https://access.gesis.org/dbk/52787> (3MB), you can find an overview of our comprehensive data. Please note that longitudinal data collection or experiments are not possible within the framework of the 10th-Anniversary-Call. We look forward to receiving your proposals via email at info(a)gesis-panel.org<mailto:info@gesis-panel.org>. Please do not hesitate to contact us if you have any questions. You can also find this call on the GESIS Panel website: https://www.gesis.org/en/gesis-panel/data-collection/data-collection-gesis-… The submission paths of the GESIS Panel.pop You can submit your study to the GESIS Panel.pop for free data collection at any time beyond this call via our submission paths<https://www.gesis.org/gesis-panel/datenerhebung/datenerhebung-gesis-panelpo…>. Submissions are evaluated on a rolling basis and integrated into our survey waves. Regular Submissions<https://www.gesis.org/en/gesis-panel/data-collection/data-collection-gesis-…> allow submitting items with a maximum survey time of 5 minutes. In addition, experiments with up to four experimental groups can be implemented as part of Regular Submissions. Short Submissions<https://www.gesis.org/en/gesis-panel/data-collection/data-collection-gesis-…> allow submitting items with a maximum survey time of one minute. You can also field your items in the GESIS Panel.pop as part of Third-party funded Studies<https://www.gesis.org/en/gesis-panel/data-collection/data-collection-gesis-…> - however, reserving survey slots for specific waves before project funding is approved or before the project starts will incur a fee. Longitudinal data collection is possible in all our submission paths. The GESIS Panel Team is looking forward to receiving your submission. Best regards, Lena Rembser -- Lena Rembser Survey Project Management | GESIS Panel GESIS - Leibniz Institute for the Social Sciences B6, 4-5 | 68159 Mannheim | Germany +49 621 1246 566 For further information, follow us on: Our website: https://www.gesis.org/en/gesis-panel On Facebook: https://www.facebook.com/GESISPanel On X: https://x.com/GESIS_Panel On Instagram: https://www.instagram.com/gesis_panel/ Stay up to date with our GESIS Panel Newsletter: https://lists.gesis.org/mailman/listinfo/gesis-panel

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