September 2022 - Methoden - mailman.uni-konstanz.de

CfP für die von der Methodensektion organisierten Sessions am DGS-Kongress 2020 in Berlin
by Leitgöb, Heinz 18 Feb '26

18 Feb '26

Liebe Kolleginnen und Kollegen, ich darf Sie auf die Calls für die beiden von der Methodensektion organisierten Sessions am DGS-Kongress 2020 in Berlin hinweisen (siehe Anhang). Thematische Ausrichtung der Sessions: Session (i): Faktorielle Surveys und Choice-Experimente auf dem Prüfstand - Konstruktion, Analyse und Validität bei der Untersuchung gesellschaftlicher Spannungen (Hawal Shamon & Knut Petzold) Session (ii): Allgemeine Themen der empirischen Sozialforschung (Heinz Leitgöb, Petra Stein & Tobias Wolbring) Session (ii) ist bewusst offen formuliert um Einreichungen aus der gesamten Bandbreite der Methoden der empirischen Sozialforschung zu ermöglichen. Wir freuen uns auf spannende Einreichungen. Mit freundlichen Grüßen Heinz Leitgöb **************************************************** [cid:part1.78C159DC.1AC5A33E@ku.de] Mag. Dr. Heinz Leitgöb Akad. Rat a. Z. Fachbereich Soziologie Lehrstuhl für Soziologie und empirische Sozialforschung Katholische Universität Eichstätt-Ingolstadt Kapuzinergasse 2 85072 Eichstätt Tel.: +49 (0)8421 93 21665 Email. heinz.leitgoeb(a)ku.de<mailto:heinz.leitgoeb@ku.de>

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Sessions der Methodensektion auf dem DGS-Kongress
by Leitgöb, Heinz 27 Sep '22

27 Sep '22

Liebe Kolleginnen und Kollegen, ich darf jene Listenmitglieder, die am DGS-Kongress in Bielefeld anwesend sind, nochmals auf die beiden Sessions der Methodensektion hinweisen: (i) Di 27.09.2022, 14.15-17.00 Uhr, T2-213: Aktuelle Themen der empirischen Sozialforschung (ii) Fr 30.09.2022, 09.00-11.45 Uhr, X-E0-202: Die Vermessung und Simulation polarisierter Welten - Umfrageexperimente, Agentenbasierte Modelle und ihr Nexus Wir freuen uns auf eine rege Teilnahme. Beste Grüße Heinz Leitgöb ********************************************** Mag. Dr. Heinz Leitgöb Akad. Rat a. Z. Fachbereich Soziologie Lehrstuhl für Soziologie und empirische Sozialforschung Universität Eichstätt-Ingolstadt Kapuzinergasse 2 85072 Eichstätt Tel.: +49 (0)8421 93 21665 Email. heinz.leitgoeb(a)ku.de<mailto:heinz.leitgoeb@ku.de>

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Free Workshop Series: Statistics for the Public Good - Infrastructures for Decision Making, Research, and Discourse
by berd-academy＠stat.uni-muenchen.de 26 Sep '22

26 Sep '22

Dear members of the list, Join the discussion on the challenges for the public good statistics within the fast-changing world of data in our free workshop series in Munich from October 10th to 13th, 2022. Explore the DNA of official statistics, what quality means and how to achieve it. In the workshops by former Eurostat general director Walter J. Radermacher (LMU Munich), you will work directly with national and international use cases, applying a reflective view on official statistics from the perspective of various statistical stakeholders. Julia Lane (NYU), former senior advisor at the White House, will show you how a secure data sharing platform can serve as a blueprint towards collaborative activities to accelerate evidence-building. The workshop features hands-on examples of how training classes were implemented in the US, leading to a discussion on possible applications in Germany. You can register for the workshops individually, but we recommend participating in the whole series, which includes access to introductory online videos. Please find more information and registration here: October 10, 2022 The Public Good Statistics: Let's talk about Data Culture! Walter J. Radermacher <https://www.xing-events.com/LGWUFKE.html> https://www.xing-events.com/LGWUFKE.html October 11, 2022 Should Government Data Concern or Serve Us? Julia Lane <https://www.xing-events.com/GAGBMRD.html> https://www.xing-events.com/GAGBMRD.html October 12, 2022 Values, Ethics and What They Mean for Quality Walter J. Radermacher <https://www.xing-events.com/IANURCQ.html> https://www.xing-events.com/IANURCQ.html October 13, 2022 Data 4 Policy: Is the Statistical Era Being Replaced by an Era of Data? Walter J. Radermacher <https://www.xing-events.com/KYLKKVG.html> https://www.xing-events.com/KYLKKVG.html Best regards, Markus Herklotz for BERD Academy https://www.berd-nfdi.de/berd-academy/

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2022 Swiss Stata Conference, 18 November 2022, in Bern
by ben.jann＠unibe.ch 26 Sep '22

26 Sep '22

The fourth Swiss Stata Conference takes place on 18 November 2022 at the Universität Bern. Several speakers have already been confirmed, among them are David Schenck from Stata Corp on Bayesian time series models, Achim Ahrens from ETH Zurich on machine learning, Jan Ditzen from Free University of Bozen-Bolzano on network regressions, and Blaise Melly from University of Bern on panel quantile regression. Call for Presentations ---------------------- If you are interested in presenting, submit an abstract of no more than 200 words (ASCII text, no math symbols) to the scientific committee (ben.jann(a)unibe.ch) including a short, informative title. Indicate whether you wish to be considered for a 10-minute or 20-minute presentation (both to be followed by 5 minutes for questions). Include your name, affiliation, and phone number. If your presentation has multiple authors, please identify the presenter. Presenters will be asked to provide the organizers with electronic materials (a copy of the presentation and any programs or datasets, where applicable). The deadline for submissions is October 1, 2022. Presentations topics may include o new community-contributed commands for model estimation, graphing, data management, results reporting, or other purposes, o new approaches for using Stata together with other software, o innovative use or evaluations of existing Stata commands, o new analytic methods of particular relevance to Stata users, o case studies of using Stata for applications in various disciplines, and o methods and resources for teaching statistics with Stata or for teaching the use of Stata. More information and registration --------------------------------- See https://www.stata.com/meeting/switzerland22.

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GESIS Training Workshops 2022
by Sebastian E. Wenz 26 Sep '22

26 Sep '22

****Apologies for cross-posting**** Dear colleagues, I’d like to draw your attention to the upcoming *GESIS Training Workshops*, taking place *online *or in *Mannheim*. The course program for the remainder of 2022 includes introductions to R and Stata, data visualization, social media data, reproducibility, Bayesian statistics, sequence analysis, and causal mediation analysis. For more information and registration see the full list below or visit us at https://training.gesis.org/. *GESIS Training Workshops in German* 18-20/10/22 Einführung in die Paneldatenanalyse <https://training.gesis.org/?site=pDetails&child=full&pID=0x029FDC201DAA4C26…> (*Mannheim*) *Prof. Dr. Volker Ludwig * 07-08/11/22 Mixed Methods: Angewandte Integration qualitativer und quantitativer Methoden in den Sozialwissenschaften <https://training.gesis.org/?site=pDetails&child=full&pID=0xD612AC943EF94D88…> (*Mannheim*) *Prof. Dr. Jörg Stolz* 30/11-02/12/22 Einführung in Strukturgleichungsmodellierung <https://training.gesis.org/?site=pDetails&child=full&pID=0xBCA3073A6A0D4236…> (*Mannheim*) *Dr. Marie-Ann Sengewald* 06-09/12/22 Einführung in die Methoden der modernen Kausalanalyse <https://training.gesis.org/?site=pDetails&child=full&pID=0x4F1E249C850F4D33…> (*Online*) *Prof. Dr. Michael Gebel* *GESIS Training Workshops in English* 19-21/10/22 Introduction to R <https://training.gesis.org/?site=pDetails&child=full&pID=0x5ECFBB6781F7435B…> (*Mannheim*) *Prof. Dr. Friedolin Merhout, Prof. Dr. Merlin Schaeffer* 24-26/10/22 Sequence Analysis in the Social Sciences <https://training.gesis.org/?site=pDetails&child=full&pID=0xDF43E55836FE4546…> (*Online*) *Prof. Dr. Emanuela Struffolino, Prof. Dr. Marcel Raab* 26-28/10/22 Data Visualization with Stata <https://training.gesis.org/?site=pDetails&child=full&pID=0x589702D73ED64087…> (*Mannheim*) *PD Asjad Naqvi, PhD* 08-10/11/22 Advanced Bayesian Statistical Modelling in R and Stan <https://training.gesis.org/?site=pDetails&child=full&pID=0xEF09F187441841F0…> (*Online*) *Dr. Denis Cohen* 17-18/11/22 Tools and workflows for reproducible research in the quantitative social sciences <https://training.gesis.org/?site=pDetails&child=full&pID=0xAEFDE76E0FB549DC…> (*Online*) *Dr. Bernd Weiß, Dr. Johannes Breuer, Dr. Arnim Bleier* 28/11-02/12/22 Causal Mediation Analysis <https://training.gesis.org/?site=pDetails&child=full&pID=0xDF9A1AFC06DB431A…> (*Online*) *Prof. Dr. Felix Thoemmes* 05-06/12/22 Introduction to Using Social Media Data for Research: Potentials and Pitfalls <https://training.gesis.org/?site=pDetails&child=full&pID=0x20D86302D1294F28…> (*Online*) *Indira Sen, Dr. Katrin Weller* 12-14/12/22 Introduction to Stata <https://training.gesis.org/?site=pDetails&child=full&pID=0xEA385269A96A4B21…> (*Online*) *Lukas Isermann, Leonie Rettig* If you have any questions concerning the course program, feel free to get in touch with us at workshops(a)gesis.org. Best wishes, Your GESIS Training -- Dr. Sebastian E. Wenz Scientific Coordinator of GESIS Summer School in Survey Methodology & GESIS Spring Seminar GESIS - Leibniz-Institute for the Social Sciences Phone: +49 221-47694-159 www.gesis.org | https://training.gesis.org/ @gesistraining <https://twitter.com/gesistraining> | facebook.com/GESISTraining/ <https://www.facebook.com/GESISTraining/>

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Workshop "Democratizing Data: AI tools for discovery" by Julia Lane - Mannheim, Sep 29, 2022
by BERD Academy 23 Sep '22

23 Sep '22

Dear Sektion Methoden, You want to find out how research data are being used, to answer what questions, and who are the experts? Julia Lane is coming to Mannheim to show how to use API, dashboard, Jupyter Notebooks and visualization tools to discover research data. Register here for the free workshop on Sep 29, 3-6 pm in the University Library Mannheim: https://www.xing-events.com/BXCQYED If you can’t attend in-person, register here to follow the first part of the workshop online: https://www.xing-events.com/XEIYXEX Best regards, Markus Herklotz for BERD Academy https://www.berd-nfdi.de/berd-academy/

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Wiss. Mitarbeiter:in (m/w/d) gesucht (100%, zunächst befristet auf 3 Jahre)
by Lois, Daniel 22 Sep '22

22 Sep '22

Liebe Sektionsmitglieder, an der Universität der Bundeswehr München, Fakultät für Humanwissenschaften, Professur für Sozialwissenschaftliche Methodenlehre ist zum nächstmöglichen Zeitpunkt eine Mitarbeiterstelle (Entgeltgruppe 13 TVöD, Vollzeit, zunächst befristet auf 3 Jahre) zu besetzen (siehe angehängte Anzeige). Bewerber:innen (w/m/d) sollten ein sozialwissenschaftliches Hochschulstudium absolviert haben und gute Kenntnisse in quantitativen Methoden besitzen. Bewerbungsschluss ist der 15.11.2022. Machen Sie gerne auf diese Stellenausschreibung aufmerksam. Vielen Dank und beste Grüße, Daniel Lois -- Prof. Dr. Daniel Lois Universität der Bundeswehr München Fakultät für Humanwissenschaften Professur für Sozialwissenschaftliche Methodenlehre Tel.: 089 6004 3969 Postanschrift: Werner-Heisenberg-Weg 39 85577 Neubiberg

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RC33 CfP "Recent Developments and Current Approaches to the Analysis of Panel Data"
by Prof. Dr. Jochen Mayerl 14 Sep '22

14 Sep '22

Liebe Kolleginnen und Kollegen, nachfolgend möchte ich Sie auf unseren CfP zu Paneldatenanalyse im Rahmen des ISA Weltkongresses 2023 aufmerksam machen: *** Dear colleagues, the deadline for submitting abstracts to the XX ISA World Congress of Sociology is 30th September, 2022. The conference is taking place from the 25th of June until the 1st of July, 2023 in Melbourne, Australia, but it will be possible to take part online (hybrid format). We are writing to encourage those interested in the application of panel data analysis to submit abstracts to a planned session entitled: Recent Developments and Current Approaches to the Analysis of Panel Data, being organized by Jochen Mayerl and Henrik Andersen. Please find the call for abstracts below. You can submit an abstract to this session via the conference website: https://isaconf.confex.com/isaconf/wc2023/webprogrampreliminary/Session18293 .html. We look forward to your abstracts! Best regards Jochen Mayerl & Henrik Andersen Session description: Recent Developments and Current Approaches to the Analysis of Panel Data Establishing causal relationships is arguably the most important task of the social sciences. The randomized experiment is the gold standard in causal analysis. However, many interesting questions cannot be examined with experiments. Feasibility and ethics limit the use of randomized experiments in some situations, and retrospective questions require a different approach, as well. Panel analyses offer a promising way to examine causal questions with non-experimental, i.e., observational data. Panel analyses refer to studies of the same observational unit over time, and are effective at addressing unobserved heterogeneity in the form of time-invariant confounders. However, panel data are not a silver bullet many difficult questions and issues plague the investigation of causal effects with panel data. Some of these issues include: heterogeneous effects, · the choice between discrete and continuous time models, · obtaining the optimal lags between treatment and outcome measurement, · the choice between looking at contemporaneous and lagged effects, and · the inclusion of lagged dependent variables, the assessment of bidirectional effects to name a few. We encourage paper presentations looking at these and other issues related to the use of panel data for causal analysis. Papers can be methodological in nature, or focus on novel applications. We welcome papers looking at traditional (e.g., survey) and intensive (diary studies) longitudinal studies, as well as those focusing on either case studies (e.g., synthetic control) or natural experiments (differences-in-differences). Papers comparing various approaches and modelling strategies are also encouraged. Session Organizers: Jochen Mayerl, Chemnitz University of Technology, Germany, jochen.mayerl(a)soziologie.tu-chemnitz.de <mailto:jochen.mayerl@soziologie.tu-chemnitz.de> Henrik Andersen, Chemnitz University of Technology, Germany, henrik.andersen(a)soziologie.tu-chemnitz.de <mailto:henrik.andersen@soziologie.tu-chemnitz.de> -- Prof. Dr. Jochen Mayerl Vice Dean of the Faculty of Behavioural and Social Sciences Coordinator of RN21 Quantitative Methods, European Sociological Association Chemnitz University of Technology Faculty of Behavioural and Social Sciences Institute for Sociology Chair of Sociology with a focus on Empirical Social Research Thüringer Weg 9 D-09126 Chemnitz Germany <mailto:Jochen.Mayerl@soziologie.tu-chemnitz.de> Jochen.Mayerl(a)soziologie.tu-chemnitz.de Secretary's Office: + 49 (0)371 531-32483

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Wiss. Mitarbeiter:in (w/m/d) zur Promotion in Soziologie gesucht
by Uwe Engel 08 Sep '22

08 Sep '22

An der *Universität Bremen* ist - vorbehaltlich der Stellenfreigabe - eine Stelle (19,6 WStd./EGr 13 TV-L) zur Promotion in der *Soziologie *zu besetzen (Kennziffer A257/22). Die Stelle ist selbst am Fachbereich *Rechtswissenschaft *angesiedelt. Bewerber:innen (w/m/d) sollten ein sozialwissenschaftliches Hochschulstudium absolviert haben, gute Kenntnisse in quantitativen Methoden besitzen sowie Interesse daran haben, an einem gemeinsamen Forschungsprojekt von Rechtswissenschaft und Soziologie mitzuarbeiten. Zur *Stellenausschreibung *führt dieser Link: https://www.uni-bremen.de/universitaet/die-uni-als-arbeitgeber/offene-stell… Bewerbungsschluss: 31.10.2022 Machen Sie gerne auf diese Stellenausschreibung aufmerksam. Vielen Dank, Uwe Engel -- Bleiben Sie informiert: https://www.viewsandinsights.com/newsletter https://vimeo.com/viewsandinsights https://twitter.com/UweHEngel https://www.linkedin.com/in/uwe-engel-viewsandinsights/ Prof. Dr. Uwe Engel, University of Bremen, Department of Social Sciences, Germany https://www.viewsandinsights.com/ueber-uns Just published by Routledge: Handbook of Computational Social Science: Edited by Uwe Engel, Anabel Quan-Haase, Sunny Xun Liu, Lars Lyberg Vol. 1 - Theory, Case Studies and Ethics Vol. 2 - Data Science, Statistical Modelling, and Machine Learning Methods. VOLUME 1 https://doi.org/10.4324/9781003024583 VOLUME 2 https://doi.org/10.4324/9781003025245

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