- Methoden - mailman.uni-konstanz.de

Ausschreibung Postdoc-Stelle (100%) am FDZ Qualiservice Uni Bremen - Bewerbungsfrist 7.9.
by Betina Hollstein 06 Aug '25

06 Aug '25

Liebe Kolleg:innen, im /Forschungsdatenzentrum/ /Qualiservice,/ ist zum nächstmöglichen Zeitpunkt eine Stelle als *Wissenschaftliche:r Mitarbeiter:in (Postdoc) (w/m/d), Entgeltgruppe 13 TV-L* mit der vollen Wochenarbeitszeit (39,2 Std.) zunächst befristet für drei Jahre (gemäß § 2 WissZeitVG) zu besetzen. Der Tätigkeitsbereich der ausgeschriebenen Stelle umfasst forschungsbasierte Services, ist breit gefächert und stark interdisziplinär ausgerichtet. Einen Schwerpunkt bildet die Entwicklung von Instrumenten des Forschungsdatenmanagements für die qualitative Sozialforschung - von der Datenerhebung bis zur Bereitstellung zur Sekundärnutzung. Diese Entwicklung findet in enger Kooperation mit anderen Forschungsdatenzentren in Deutschland statt. Zu den forschungsbasierten Services gehört die Begleitung von Forschungsprojekten bei der Vorbereitung, Archivierung und Sekundärnutzung qualitativer, gering strukturierter Daten und die individuelle, fach- und datenspezifische Beratung der qualitativ Forschenden bezüglich datenschutzrechtlicher und forschungsethischer Fragen, bei der Vorbereitung des Informed Consent, der Anonymisierung, Datendokumentation und -kontextualisierung. Weitere Arbeitsbereiche sind die mit der Datenbereitstellung verbundenen kuratorischen Arbeiten in einem Safe Center, die eine sichere Bereitstellung der Forschungsdaten im Regelbetrieb des FDZ gewährleisten, der Outreach in die und der Austausch mit der Scientific Community sowie die forschungsbasierte Qualitäts- und Ergebnisbewertung der entwickelten Instrumente. *Die forschungsbasierten Aufgaben / Services umfassen:* * Entwicklung, Weiterentwicklung und Implementation von methodischen Instrumenten, Handreichungen und Tools zum Forschungsdatenmanagement, um fach- und communityspezifische Bedarfe bei der Datenaufbereitung zu berücksichtigen und Forschende bei der Datenvorbereitung zu unterstützen; * Individuelle, projektspezifische Beratung und Begleitung von Forschenden hinsichtlich der Archivierung und Sekundärnutzung gering strukturierter personenbezogener Daten; * Entwicklung und Durchführung von fach-, community- und datenspezifischen Beratungs- und Workshopangeboten zum Forschungsdatenmanagement qualitativer Daten; * Mitarbeit bei der Weiterentwicklung der Workflows zur Datenarchivierung und -aufbereitung im Forschungsdatenzentrum, Durchführung der Archivierung und Kuration qualitativer Forschungsmaterialien für die Sekundärnutzung im Rahmen der Weiterentwicklung des Forschungsdatenzentrums; * Mitarbeit bei der Durchführung und Weiterentwicklung der Dokumentation und Qualitätssicherung. Die Aufgabenstellung ist geprägt von besonderen Herausforderungen, die das Forschungsdatenmanagement, die Archivierung und Nachnutzung qualitativer Daten aus der Sozialforschung mit sich bringt, insbesondere auch aus datenschutzrechtlicher und forschungsethischer und methodischer Perspektive. Die eigene wissenschaftliche Weiterentwicklung ist im Rahmen der Stelle möglich. Wir wünschen uns ein:e Bewerber:in (w/m/d), der/die sich gern in einem interdisziplinären Team für diesen innovativen Arbeitsbereich flexibel und lösungsorientiert engagiert. Weitere Informationen finden sich im attachment. Wir freuen uns, wenn Sie die Ausschreibung an in infrage kommende Personen weiterleiten! Mit besten Grüßen, Betina Hollstein -- Prof. Dr. Betina Hollstein University of Bremen Professor of Microsociology and Qualitative Methods Research Data Center QUALISERVICE, head:https://www.qualiservice.org/en/ NEU - Interview zum FDZ Qualiservice:https://blog.bildungsserver.de/qualitative-forschungsdaten-sind-ein-schatz-der-gerade-erst-gehoben-wird/ SOCIUM - Research Center on Inequality and Social Policy Dept. Methods Research/ Head Dept. Life Course, Life Course Policy and Social Integration Mary-Somerville-Str. 9, R. 9.3090 , D - 28359 Bremen tel +49 (0)421-218-58512 e-mail:betina.hollstein@uni-bremen.de http://www.socium.uni-bremen.de/about-the-socium/members/betina-hollstein/e… Sekr.: Patricia Tegeler-Winde, tel.: +49 (0)421-218-58638. E-Mail:p.tegeler-winde@uni-bremen.de

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2025 Swiss Stata Conference: Call for Presentations
by ben.jann＠unibe.ch 05 Aug '25

05 Aug '25

Liebe Kolleginnen und Kollegen der DGS-Methodensektion, ich liess mich wiedermal dazu überreden, ein Stata Meeting auszurichten. Hier der entsprechende Call for Presentations. Über Beiträge aus der quantitativen Soziologie würde ich mich freuen. Gruss, ben *** The fifth Swiss Stata Conference takes place on November 21, 2025, at the University of Bern. Several speakers have already been confirmed, among them are Jeff Pitblado from StataCorp, Jan Ditzen from Free University of Bozen-Bolzano, Blaise Melly from University of Bern, Asjad Naqvi from the Austrian Institute for Economic Research, and Mark E. Schaffer from Heriot-Watt University. Call for Presentations The conference welcomes a variety of presentations: * Research relying on applied statistics or econometrics from all fields using Stata to perform the analysis. We welcome submissions in all fields, including economics, business, management, and health sciences. * Approaches to using Python within Stata. * Experiences with teaching statistics using Stata. * Presentations of new community-contributed commands. If you are interested in presenting, please submit the title and abstract of your presentation to info(a)ritme.ch<mailto:info@ritme.ch> or ben.jann(a)unibe.ch<mailto:ben.jann@unibe.ch>. Include your name, affiliation, and phone number. If your presentation has multiple authors, please identify the presenter. Presenters will not be charged a conference fee. The deadline for submissions is September 12, 2025. More information and registration See https://www.stata.com/meeting/switzerland25. _____________________________ University of Bern Institute of Sociology Prof. Dr. Ben Jann Fabrikstrasse 8 CH-3012 Bern Tel +41 31 684 48 31 Fax +41 31 684 48 17 mailto:ben.jann@unibe.ch http://www.soz.unibe.ch<http://www.soz.unibe.ch/>

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GESIS Fall Seminar in Computational Social Science 2025 - Still spots available!
by Wenz, Sebastian 05 Aug '25

05 Aug '25

Liebe Kolleg*innen in der Methoden-Sektion, im GESIS Fall Seminar in Computational Science gibt es noch einige freie Plätze. Unten die entsprechende Ankündigung. Viele Grüße Sebastian ***Apologies for cross-posting*** Dear colleagues, Want to spend some time in September diving into computational social science methods? You can still register for our upcoming courses in this year's GESIS Fall Seminar in Computational Social Science (01-26 September 2025), which offers a variety of introductory and advanced courses in Mannheim or online. For example, learn how to unlock the power of images or videos for your research project with cutting-edge methods of Computer Vision<https://training.gesis.org/?site=pDetails&child=full&pID=0x5BF8A4FD062A4262…>. Simulate, test, and enhance theories through data-driven simulations in Agent-Based Computational Modeling<https://training.gesis.org/?site=pDetails&child=full&pID=0x5BF8A4FD062A4262…>. Or go beyond basic descriptive measures and dive deep into statistical models and techniques for analyzing Social Networks<https://training.gesis.org/?site=pDetails&child=full&pID=0x5BF8A4FD062A4262…>. You can find the complete course program below. Each course features an interactive mix of lectures and hands-on exercises and can be booked separately, so you can tailor your learning experience to match your needs and interests. As some courses are almost booked out, we recommend to register as soon as possible to secure your place. Introduction to Computational Social Science with R<https://training.gesis.org/?site=pDetails&child=full&pID=0x5BF8A4FD062A4262…> [01-05 September | online] Johannes B. Gruber, GESIS Introduction to Computational Social Science with Python<https://training.gesis.org/?site=pDetails&child=full&pID=0x5BF8A4FD062A4262…> [01-05 September | online] John McLevey, Memorial University Web Data Collection with Python<https://training.gesis.org/?site=pDetails&child=full&pID=0x5BF8A4FD062A4262…> [08-12 September | online] Iulia Cioroianu, University of Bath Web Data Collection with R<https://training.gesis.org/?site=pDetails&child=full&pID=0x5BF8A4FD062A4262…> [08-12 September | online] Iulia Cioroianu, University of Bath Introduction to Machine Learning for Text Analysis with Python<https://training.gesis.org/?site=pDetails&child=full&pID=0x5BF8A4FD062A4262…> [15-19 September | Mannheim] Rupert Kiddle, Vrije Universiteit Amsterdam and Sjoerd Stolwijk, University of Amsterdam Advanced Methods for Social Network Analysis<https://training.gesis.org/?site=pDetails&child=full&pID=0x5BF8A4FD062A4262…> [15-19 September | now online] Lorien Jasny, University of Exeter Computer Vision for Image and Video Data Analysis<https://training.gesis.org/?site=pDetails&child=full&pID=0x5BF8A4FD062A4262…> [15-19 September | Mannheim] Andreu Casas, Royal Holloway University of London Agent-Based Computational Modeling<https://training.gesis.org/?site=pDetails&child=full&pID=0x5BF8A4FD062A4262…> [22-26 September | Mannheim] Daniel Mayerhoffer, University of Amsterdam From Embeddings to LLMs: Advanced Text Analysis with Python<https://training.gesis.org/?site=pDetails&child=full&pID=0x5BF8A4FD062A4262…> [22-26 September | Mannheim] Hauke Licht, University of Innsbruck Causal Machine Learning<https://training.gesis.org/?site=pDetails&child=full&pID=0x5BF8A4FD062A4262…> [22-26 September | online] Marica Valente, University of Innsbruck For those without any prior experience in R or Python and those who'd like a refresher, we're additionally offering two online pre-courses, "Introduction to R<https://training.gesis.org/?site=pDetails&child=full&pID=0x6B23F7D6B1B04F17…>" (25-27 August) and "Introduction to Python<https://training.gesis.org/?site=pDetails&child=full&pID=0x1C27B105B9584968…>" (25-28 August). For detailed course descriptions and registration, please visit our website<https://www.gesis.org/en/gesis-training/what-we-offer/fall-seminar-in-compu…> and sign up here<https://training.gesis.org/?site=pDetails&child=full&pID=0x6C2F9D88EDAD43D1…>! If you're looking for recommendations on which courses to combine, we've put together a handy guide for you here<https://www.gesis.org/en/gesis-training/what-we-offer/fall-seminar-in-compu…>. If you can't make it in September, but you're curious about what's going on inside your machine learning models, check out Explainable AI und Fair Machine Learning<https://training.gesis.org/?site=pDetails&child=full&pID=0x41164873F43B42B0…> (22-24 October | online), which takes you on a hands-on tour through this fast-growing research field. Whether you're concerned about bias or just want to understand your model's decisions, this workshop offers both the theory and practice to get you started. Never miss a GESIS Training course by subscribing to our newsletter<https://www.gesis.org/en/gesis-training/about-us/newsletter>. Thank you for forwarding this announcement to other interested parties. Best wishes, Your GESIS Fall Seminar team --- GESIS - Leibniz Institute for the Social Sciences GESIS Fall Seminar in Computational Social Science email: fallseminar(a)gesis.org<mailto:fallseminar@gesis.org> web: www.gesis.org/fallseminar<http://www.gesis.org/fallseminar> bluesky: https://bsky.app/profile/gesistraining.bsky.social facebook: https://www.facebook.com/GESISTraining linkedin: https://www.linkedin.com/company/gesistraining<https://www.linkedin.com/company/gesistraining/> Sebastian E. Wenz (he/him) Senior Researcher KEO | Training [cid:image002.jpg@01DC05F3.BD6ECFA0]<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:image004.png@01DC05F3.BD6ECFA0] <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:image009.png@01DC05F3.BD6ECFA0] <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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Antw: Methoden Digest, Vol 246, Issue 7 (Verzögerungen im Beantworten von E-Mails / Delay in responses)
by Dimitri Prandner 29 Jul '25

29 Jul '25

Thank you for your message. I am currently out of the office and will respond to emails again starting August 11. Wishing you a pleasant and relaxing summer! In urgent matters, please contact Ms. Sabrina Kammerer (sabrina.kammerer(a)jku.at, office administration). Best regards, Dimitri Prandner >>> <methoden-request(a)mailman.uni-konstanz.de> 07/29/25 15:43 >>> Senden Sie Beiträge für die Mailingliste Methoden an methoden(a)mailman.uni-konstanz.de Um die Liste per E-Mail zu abonnieren oder um sich abzumelden, senden Sie bitte Nachricht mit dem Betreff oder Inhalt 'help' an methoden-request(a)mailman.uni-konstanz.de Sie erreichen die Administator*in dieser Liste unter methoden-owner(a)mailman.uni-konstanz.de Wenn Sie antworten, bearbeiten Sie bitte die Betreffzeile, damit sie aussagekräftiger ist als "Re: Inhalt des Methoden Digest..." Today's Topics: 1. GESIS Fall Seminar in Computational Social Science 2025 - Still spots available! (Kunz, Verena) ---------------------------------------------------------------------- Message: 1 Date: Tue, 29 Jul 2025 13:43:14 +0000 From: "Kunz, Verena" <Verena.Kunz(a)gesis.org> Subject: [Methoden] GESIS Fall Seminar in Computational Social Science 2025 - Still spots available! To: "methoden(a)mailman.uni-konstanz.de" <methoden(a)mailman.uni-konstanz.de> Message-ID: <FR1PPF1DA7D9313C7B28768FF757FB69A0AEA25A@FR1PPF1DA7D9313. DEUP281.PROD.OUTLOOK.COM> Content-Type: multipart/alternative; boundary="_000_FR1PPF1DA7D9313 C7B28768FF757FB69A0AEA25AFR1PPF1DA7D9313_" ***Apologies for cross-posting*** Dear colleagues, Want to spend some time in September diving into computational social science methods? You can still register for our upcoming courses in this year's GESIS Fall Seminar in Computational Social Science (01-26 September 2025), which offers a variety of introductory and advanced courses in Mannheim or online. For example, learn how to unlock the power of images or videos for your research project with cutting-edge methods of Computer Vision<https://training.gesis.org/?site=pDetails&child=full&pID=0x5BF8A4FD062A4262…>. Simulate, test, and enhance theories through data-driven simulations in Agent-Based Computational Modeling<https://training.gesis.org/?site=pDetails&child=full&pID=0x5BF8A4FD062A4262…>. Or go beyond basic descriptive measures and dive deep into statistical models and techniques for analyzing Social Networks<https://training.gesis.org/?site=pDetails&child=full&pID=0x5BF8A4FD062A4262…>. You can find the complete course program below. Each course features an interactive mix of lectures and hands-on exercises and can be booked separately, so you can tailor your learning experience to match your needs and interests. As some courses are almost booked out, we recommend to register as soon as possible to secure your place. Introduction to Computational Social Science with R<https://training.gesis.org/?site=pDetails&child=full&pID=0x5BF8A4FD062A4262…> [01-05 September | online] Johannes B. Gruber, GESIS Introduction to Computational Social Science with Python<https://training.gesis.org/?site=pDetails&child=full&pID=0x5BF8A4FD062A4262…> [01-05 September | online] John McLevey, Memorial University Web Data Collection with Python<https://training.gesis.org/?site=pDetails&child=full&pID=0x5BF8A4FD062A4262…> [08-12 September | online] Iulia Cioroianu, University of Bath Web Data Collection with R<https://training.gesis.org/?site=pDetails&child=full&pID=0x5BF8A4FD062A4262…> [08-12 September | online] Iulia Cioroianu, University of Bath Introduction to Machine Learning for Text AnalPython<https://training.gesis.org/?site=pDetails&child=full&pID=0x5BF8A4FD062A4262…> [15-19 September | Mannheim] Rupert Kiddle, Vrije Universiteit Amsterdam and Sjoerd Stolwijk, University of Amsterdam Advanced Methods for Social Network Analysis<https://training.gesis.org/?site=pDetails&child=full&pID=0x5BF8A4FD062A4262…> [15-19 September | now online] Lorien Jasny, University of Exeter Computer Vision for Image and Video Data Analysis<https://training.gesis.org/?site=pDetails&child=full&pID=0x5BF8A4FD062A4262…> [15-19 September | Mannheim] Andreu Casas, Royal Holloway University of London Agent-Based Computational Modeling<https://training.gesis.org/?site=pDetails&child=full&pID=0x5BF8A4FD062A4262…> [22-26 September | Mannheim] Daniel Mayerhoffer, University of Amsterdam >From Embeddings to LLMs: Advanced Text Analysis with Python<https://training.gesis.org/?site=pDetails&child=full&pID=0x5BF8A4FD062A4262…> [22-26 September | Mannheim] Hauke Licht, University of Innsbruck Causal Machine Learning<https://training.gesis.org/?site=pDetails&child=full&pID=0x5BF8A4FD062A4262…> [22-26 September | online] Marica Valente, University of Innsbruck For those without any prior experience in R or Python and those who'd like a refresher, we're additionally offering two online pre-courses, "Introduction to R<https://training.gesis.org/?site=pDetails&child=full&pID=0x6B23F7D6B1B04F17…>" (25-27 August) and "Introduction to Python<https://training.gesis.org/?site=pDetails&child=full&pID=0x1C27B105B9584968…>" (25-28 August). For detailed course descriptions and registration, please visit our website<https://www.gesis.org/en/gesis-training/what-we-offer/fall-seminar-in-compu…> and sign up here<https://training.gesis.org/?site=pDetails&child=full&pID=0x6C2F9D88EDAD43D1…>! If you're looking for recommendations on which courses to combine, we've put together a handy guide for you here<https://www.gesis.org/en/gesis-training/what-we-offer/fall-seminar-in-compu…>. If you can't make it in September, but you're curious about what's going on inside your machine learning models, check out Explainable AI und Fair Machine Learning<https://training.gesis.org/?site=pDetails&child=full&pID=0x41164873F43B42B0…> (22-24 October | online), which takes you on a hands-on tour through this fast-growing research field. Whether you're concerned about bias or just want to understand your model's decisions, this workshop offers both the theory and practice to get you started. Never miss a GESIS Training course by subscribing to our newsletter<https://www.gesis.org/en/gesis-training/about-us/newsletter>. Thank you for forwarding this announcement to other interested parties. Best wishes, Your GESIS Fall Seminar team --- GESIS - Leibniz Institute for the Social Sciences GESIS Fall Seminar in Computational Social Science email: fallseminar(a)gesis.org<mailto:fallseminar@gesis.org> web: www.gesis.org/fallseminar<http://www.gesis.org/fallseminar> bluesky: https://bsky.app/profile/gesistraining.bsky.social facebook: https://www.facebook.com/GESISTraining linkedin: https://www.linkedin.com/company/gesistraining<https://www.linkedin.com/company/gesistraining/>

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GESIS Fall Seminar in Computational Social Science 2025 - Still spots available!
by Kunz, Verena 29 Jul '25

29 Jul '25

***Apologies for cross-posting*** Dear colleagues, Want to spend some time in September diving into computational social science methods? You can still register for our upcoming courses in this year's GESIS Fall Seminar in Computational Social Science (01-26 September 2025), which offers a variety of introductory and advanced courses in Mannheim or online. For example, learn how to unlock the power of images or videos for your research project with cutting-edge methods of Computer Vision<https://training.gesis.org/?site=pDetails&child=full&pID=0x5BF8A4FD062A4262…>. Simulate, test, and enhance theories through data-driven simulations in Agent-Based Computational Modeling<https://training.gesis.org/?site=pDetails&child=full&pID=0x5BF8A4FD062A4262…>. Or go beyond basic descriptive measures and dive deep into statistical models and techniques for analyzing Social Networks<https://training.gesis.org/?site=pDetails&child=full&pID=0x5BF8A4FD062A4262…>. You can find the complete course program below. Each course features an interactive mix of lectures and hands-on exercises and can be booked separately, so you can tailor your learning experience to match your needs and interests. As some courses are almost booked out, we recommend to register as soon as possible to secure your place. Introduction to Computational Social Science with R<https://training.gesis.org/?site=pDetails&child=full&pID=0x5BF8A4FD062A4262…> [01-05 September | online] Johannes B. Gruber, GESIS Introduction to Computational Social Science with Python<https://training.gesis.org/?site=pDetails&child=full&pID=0x5BF8A4FD062A4262…> [01-05 September | online] John McLevey, Memorial University Web Data Collection with Python<https://training.gesis.org/?site=pDetails&child=full&pID=0x5BF8A4FD062A4262…> [08-12 September | online] Iulia Cioroianu, University of Bath Web Data Collection with R<https://training.gesis.org/?site=pDetails&child=full&pID=0x5BF8A4FD062A4262…> [08-12 September | online] Iulia Cioroianu, University of Bath Introduction to Machine Learning for Text Analysis with Python<https://training.gesis.org/?site=pDetails&child=full&pID=0x5BF8A4FD062A4262…> [15-19 September | Mannheim] Rupert Kiddle, Vrije Universiteit Amsterdam and Sjoerd Stolwijk, University of Amsterdam Advanced Methods for Social Network Analysis<https://training.gesis.org/?site=pDetails&child=full&pID=0x5BF8A4FD062A4262…> [15-19 September | now online] Lorien Jasny, University of Exeter Computer Vision for Image and Video Data Analysis<https://training.gesis.org/?site=pDetails&child=full&pID=0x5BF8A4FD062A4262…> [15-19 September | Mannheim] Andreu Casas, Royal Holloway University of London Agent-Based Computational Modeling<https://training.gesis.org/?site=pDetails&child=full&pID=0x5BF8A4FD062A4262…> [22-26 September | Mannheim] Daniel Mayerhoffer, University of Amsterdam From Embeddings to LLMs: Advanced Text Analysis with Python<https://training.gesis.org/?site=pDetails&child=full&pID=0x5BF8A4FD062A4262…> [22-26 September | Mannheim] Hauke Licht, University of Innsbruck Causal Machine Learning<https://training.gesis.org/?site=pDetails&child=full&pID=0x5BF8A4FD062A4262…> [22-26 September | online] Marica Valente, University of Innsbruck For those without any prior experience in R or Python and those who'd like a refresher, we're additionally offering two online pre-courses, "Introduction to R<https://training.gesis.org/?site=pDetails&child=full&pID=0x6B23F7D6B1B04F17…>" (25-27 August) and "Introduction to Python<https://training.gesis.org/?site=pDetails&child=full&pID=0x1C27B105B9584968…>" (25-28 August). For detailed course descriptions and registration, please visit our website<https://www.gesis.org/en/gesis-training/what-we-offer/fall-seminar-in-compu…> and sign up here<https://training.gesis.org/?site=pDetails&child=full&pID=0x6C2F9D88EDAD43D1…>! If you're looking for recommendations on which courses to combine, we've put together a handy guide for you here<https://www.gesis.org/en/gesis-training/what-we-offer/fall-seminar-in-compu…>. If you can't make it in September, but you're curious about what's going on inside your machine learning models, check out Explainable AI und Fair Machine Learning<https://training.gesis.org/?site=pDetails&child=full&pID=0x41164873F43B42B0…> (22-24 October | online), which takes you on a hands-on tour through this fast-growing research field. Whether you're concerned about bias or just want to understand your model's decisions, this workshop offers both the theory and practice to get you started. Never miss a GESIS Training course by subscribing to our newsletter<https://www.gesis.org/en/gesis-training/about-us/newsletter>. Thank you for forwarding this announcement to other interested parties. Best wishes, Your GESIS Fall Seminar team --- GESIS - Leibniz Institute for the Social Sciences GESIS Fall Seminar in Computational Social Science email: fallseminar(a)gesis.org<mailto:fallseminar@gesis.org> web: www.gesis.org/fallseminar<http://www.gesis.org/fallseminar> bluesky: https://bsky.app/profile/gesistraining.bsky.social facebook: https://www.facebook.com/GESISTraining linkedin: https://www.linkedin.com/company/gesistraining<https://www.linkedin.com/company/gesistraining/>

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Ausschreibung W3-Professur "Sozialstrukturanalyse" an der Martin-Luther-Universität Halle-Wittenberg (MLU) | Frist: 15.09.25
by Oliver Arranz Becker 17 Jul '25

17 Jul '25

Liebe Kolleginnen und Kollegen, ich möchte Sie hiermit auf eine Ausschreibung an unserem Institut für Soziologie der traditionsreichen MLU Halle-Wittenberg, an dem wir eine sehr offene, freundliche und kollegiale Atmosphäre pflegen, aufmerksam machen. Die ausgeschriebene W3-Professur ist denominiert als "Soziologie, insbesondere Sozialstrukturanalyse moderner Gesellschaften". Halle (Saale) ist eine dynamische Großstadt mit Sitz der Nationalen Akademie der Wissenschaften Leopoldina und mehrerer Leibniz-Institute, sehr guter Verkehrsanbindung und reichhaltigen kulturellen Angeboten (u.a. Händelstadt). Die Bewerbungsfrist endet am 15. September. Hier die Links zu den Ausschreibungen (pdf im Anhang): * Times Higher Education (engl.): https://www.timeshighereducation.com/unijobs/listing/396055/w3-professorshi… * ZEIT (dt.): https://jobs.zeit.de/jobs/w3-professur-soziologie-insbesondere-sozialstrukt… Bitte machen Sie gern geeignete Kandidat:innen auf die Ausschreibung aufmerksam. Für Rückfragen stehe ich gern zur Verfügung. -- Beste Grüße Oliver Arránz Becker _________________________________________ Prof. Dr. O. Arránz Becker Professor of Quantitative Methods in the Social Sciences Martin-Luther University Halle-Wittenberg Institute of Sociology D-06099 Halle (Saale) Germany Visitor address: Geistes- und Sozialwissenschaftliches Zentrum (Steintor-Campus) Emil-Abderhalden-Straße 26-27 (Raum E.54.0) phone: +49 - (0)345 - 55 24260 fax: +49 - (0)345 - 55 27150 e-mail:oliver.arranz-becker@soziologie.uni-halle.de Webex:https://uni-halle.webex.com/meet/oliver.arranz-becker _______________________________________________ Speaker of Research Institute - Social Cohesion (RISC), Halle https://soziologie.uni-halle.de/fgz/team/3313307_3503802/

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3rd GESIS Workshop on Earth Observation Data in the Social Sciences - November 26-28, 2025
by Abel, Dennis 08 Jul '25

08 Jul '25

Dear colleagues, We invite paper submissions to a three-day workshop on Earth Observation Data in the Social Sciences. We invite both methodological contributions and substantial papers from research at the interface of social and Earth system science, as well as work from either discipline that advances understanding or offers new potential for the other. The workshop will take place in person at GESIS - Leibniz Institute for the Social Sciences in Cologne, Germany, from November 26 to 28. We plan to have an in-depth and rich discussion of up to fifteen papers and welcome our keynote lecturers, Prof. Dr. Monika Kuffer from the University of Twente and Dr. Ana Andries from the University of Surrey. Article abstracts (max. 500 words) should be send to dennis.abel(a)gesis.org<mailto:dennis.abel@gesis.org> by August 6. Please see the attached file for the full call for abstracts. Our keynote speakers Prof. Dr. Monika Kuffer Monika Kuffer<https://people.utwente.nl/m.kuffer> is a Full Professor at the Faculty of Behavioural, Management and Social Sciences and the Faculty of Geo-Information Science and Earth Observation at the University of Twente. Her research focuses on sustainable development (SDGs), particularly poverty (deprivation), living quality, and economic development in urban/rural environments using remote sensing, Geographic Information Systems (GIS), and AI-based methods. Her current projects include IDEAtlas<https://ideatlas.eu/> and SPACE4ALL<https://www.itc.nl/space4all/>. Among other positions, she is the Dutch representative of the European Association of Remote Sensing Laboratories (EARSeL). Dr. Ana Andries Ana Andries<https://www.surrey.ac.uk/people/ana-andries> is a Lecturer in GIS and Remote Sensing with applications in sustainability assessment at the University of Surrey. Her expertise spans environmental impact assessment, environmental auditing, spatial analysis, and sustainable development. She has worked on multiple projects exploring EO technologies for tackling environmental and socio-economic challenges, leading the Space4Sustainability<https://www.surrey.ac.uk/institute-sustainability/research/space-4-sustaina…> initiative at the University of Surrey. Before her academic role, she gained industrial experience as a GIS Quality Control specialist at the Rural Payment Agency (RPA) under the UK Department for Environment, Food & Rural Affairs (DEFRA). The organizing team Dennis Abel, Stefan Jünger, Jonas Lieth, Amelie Veit ----------------------------------------------------------------------------------- GESIS - Leibniz Institute for the Social Sciences Dr. Dennis Abel Postdoctoral Researcher Department for Survey Data Curation Team Survey Data Augmentation https://orcid.org/0000-0001-6220-2511 Tel: +49 (0)221-47694-479 dennis.abel(a)gesis.org<mailto:dennis.abel@gesis.org> www.gesis.org<http://www.gesis.org/>

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Stellenausschreibungen: 2 Doktorand:innen im FReDA Projekt (E13, 75%, 4 Jahre befristet)
by Gummer, Tobias 08 Jul '25

08 Jul '25

Liebe Kolleg:innen, wir suchen bei GESIS für das familiendemographische Panel (FReDA<https://www.freda-panel.de/FReDA/DE/Startseite.html>) noch zwei Doktorand:innen. FReDA ist ein Kooperationsprojekt zwischen dem Bundesinstitut für Bevölkerungsforschung (BiB) und GESIS. Wissenschaftliche*r Mitarbeiter*in in der Datenaufbereitung (Doktorand*in) (13 TV-L, Arbeitszeit 75 %, befristet für 4 Jahre) https://www.gesis.org/institut/karriere/jobs/details/wissenschaftlicher-mit… Wissenschaftliche*n Mitarbeiter*in in der Fragebogenentwicklung (Doktorand*in) (13 TV-L, Arbeitszeit 75 %, befristet für 4 Jahre) https://www.gesis.org/institut/karriere/jobs/details/wissenschaftlichen-mit… Die Bewerbungsfristen enden zum 24.07.2025. Über eine Weiterleitung an geeignete Kandidat:innen wäre ich Ihnen sehr dankbar. Viele Grüße Tobias Gummer --- Prof. Dr. Tobias Gummer GESIS - Leibniz Institute for the Social Sciences P.O.Box 122155 68072 Mannheim Phone: +49(621)-1246-435 Mail: tobias.gummer(a)gesis.org<mailto:tobias.gummer@gesis.org>

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CS3 Meeting for Computational Survey and Social Science
by Höhne, Jan Karem 07 Jul '25

07 Jul '25

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. Joshua Claassen (DZHW & LUH) talks about Web surveys under attack: Novel strategies for detecting LLM-driven bots<https://jkhoehne.eu/wp-content/uploads/2025/04/CS3_meeting_JC.pdf> on July 8, 2025, from 3:15 to 4:00 PM (CEST). Please sign up for the meeting by tonight: 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., 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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GESIS Training: Causal Inference Courses
by Remizova, Alisa 03 Jul '25

03 Jul '25

***Apologies for cross-posting*** Dear colleagues, Are you curious about causality but unsure where to start or how to move beyond the basics? GESIS offers a series of courses on contemporary causal inference methods, tailored to researchers at various stages of expertise: * 30.07 - 01.08. Causal Inference with Directed Acyclic Graphs (DAGs)<https://t1p.de/GSS25-SCD> (Online) * 04. - 08.08. Causal Inference in the Social Sciences<https://t1p.de/GSS25-C4> (Cologne) * 22. - 26.09. Causal Machine Learning<https://t1p.de/CausalML> (Online) * 09. - 10.10. Causal Inference with Instrumental Variables and Regression Discontinuity Designs <https://t1p.de/caus-inf-2025> (Online) * 04. - 05.12. & 11. - 12.12. Introduction to Methods of Causal Inference<https://t1p.de/meth-caus-inf-2025> (Online) * 27. - 28.01. Causal Models for Qualitative and Mixed Methods Research<https://t1p.de/qual_mix_meth_26> (Cologne) * 03. - 04.02. Foundations and Advances in Difference-in-Differences<https://t1p.de/dif_in_dif_26> (Online) For more details or to register, please visit our website<https://training.gesis.org/?lang=en_US> or email alisa.remizova(a)gesis.org<mailto:alisa.remizova@gesis.org>. We would also appreciate your help in spreading the word about this announcement. Causally Yours, GESIS Training Team --- Alisa Remizova Postdoc & Scientific Coordinator Department KEO | Team Training [cid:image002.jpg@01DBEC3F.994DA920]<http://www.gesis.org/> Unter Sachsenhausen 6-8 | 50667 Cologne +49 (0) 221 47694-475 alisa.remizova(a)gesis.org<mailto:alisa.remizova@gesis.org> www.gesis.org<https://www.gesis.org/> [Ein Bild, das Symbol, Logo, Schrift, Grafiken enth?lt. Automatisch generierte Beschreibung]<https://www.facebook.com/gesis.org/> [cid:image004.png@01DBEC3F.994DA920] <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:image009.png@01DBEC3F.994DA920] <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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