Methoden

methoden@mailman.uni-konstanz.de

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Stellenausschreibung Wissenschaftliche/-r Mitarbeiter/-in (m/w/d) in Vollzeit, befristet bis 31.12.2024 am IAB
by Trappmann Mark 19 Oct '22

19 Oct '22

Liebe Kolleginnen und Kollegen, ich möchte gern auf eine Stellenausschreibung des Instituts für Arbeitsmarkt- und Berufsforschung (IAB) im Rahmen eines Panels zur Evaluation des Teilhabechancengesetzes hinweisen und freue mich, wenn sie mögliche Interessentinnen und Interessenten darauf aufmerksam machen. Mit freundlichen Grüßen Mark Trappmann Der Forschungsbereich "Panel Arbeitsmarkt und soziale Sicherung" des Instituts für Arbeitsmarkt- und Berufsforschung (IAB) sucht für die Evaluation des Teilhabechancengesetztes im Auftrag des Bundesministerium für Arbeit und Soziales eine/-n Wissenschaftliche/-n Mitarbeiter/-in (m/w/d) in Vollzeit, befristet bis 31.12.2024 Im Rahmen des Teilprojektes werden die Wirkeffekte der Förderung auf die soziale Teilhabe und Beschäftigungsfähigkeit der Geförderten auf Basis einer eigens aufgebauten Längsschnittbefragung "Lebensqualität und Teilhabe" untersucht. Zu den Aufgaben zählen die Feldvorbereitung und -organisation (inkl. Fragebogenentwicklung) der Längsschnittstudie. Des Weiteren beteiligt sich die erfolgreiche Bewerberin / der erfolgreiche Bewerber an Forschung und Politikberatung auf Basis der erhobenen Daten. Die Ergebnisse dieser Forschung werden sowohl in einschlägigen wissenschaftlichen Journalen publiziert als auch für Adressaten in Politik, Praxis und Massenmedien aufbereitet. Zudem ist ein Abschlussbericht für das Bundesministerium für Arbeit und Soziales bis Ende 2023 zu erstellen. Die erfolgreiche Bewerberin / der erfolgreiche Bewerber verfügt idealerweise über praktische Erfahrungen bei der Erhebung von Surveydaten und weist Anknüpfungspunkte zur Arbeitsmarkt- und Evaluationsforschung auf. Bewerbungsfrist bis: 07.11.2022 Weitere Informationen zur Stelle: https://recruiting.arbeitsagentur.de/ba-karriere/stellensuche/index.html#/p… Prof. Dr. Mark Trappmann Institut für Arbeitsmarkt- und Berufsforschung (IAB) Forschungsbereich E3: Panel "Arbeitsmarkt und soziale Sicherung" Regensburger Str. 104 90478 Nürnberg Tel. 0911-179-3096 und Otto-Friedrich-Universität Bamberg Fakultät für Sozial- und Wirtschaftswissenschaften Lehrstuhl für Soziologie, insbes. Survey-Methodologie 96045 Bamberg

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CfP "Current Perspectives on Spatial Mobilities"
by Knut Petzold 19 Oct '22

19 Oct '22

Liebe Kolleginnen und Kollegen, hier der Hinweis zum Call for Papers für folgende Veranstaltung: *** International workshop 'Current Perspectives on Spatial Mobilities' Jointly organized by the Institute for Employment Research (IAB) and the Spatial Mobility Working Group of the German Sociological Association (DGS). In addition to a broad range of research on spatial mobilities, the workshop “Current Perspectives on Spatial Mobilities” will focus on current issues such as the digital transformation, COVID-19 and refugee migration, as well as innovations in data and methods for studying spatial mobilities. The hybrid event will take place in Nuremberg, Germany, on March 30 and 31, 2023. Submissions Deadline: November 15, 2022 More information about the call https://iab.de/en/iab-veranstaltungen/current-perspectives-on-spatial-mobil… More information about the CfP can be found in the attachment. Kind regards, Sebastian Bähr, Heiko Rüger & Knut Petzold ***

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[Reminder] Call for Papers: SMIF Special Issue on “Food Acquisition Research and Methods” - Deadline: Oct 31
by Florian Keusch 10 Oct '22

10 Oct '22

Dear colleagues, This is a gentle reminder to submit your work to a special issue on “Food Acquisition Research and Methods” for Survey Methods: Insights from the Field. *Papers are due by October 31, 2022*. You can submit your papers through the SMIF website (https://surveyinsights.org/). You have to indicate that the paper is part of the special issue as part of the submission. The call for submissions is available here: https://surveyinsights.org/wp-content/uploads/2022/05/Call_iFARM_Special_Is… The special issue will include selected papers from the iFARM workshop, which will take place on October 20-21 at the University of Maryland, though it is not restricted to people who present at the workshop. More information about the iFARM workshop is available here: https://socialdatascience.umd.edu/ifarm/ Thank you, and please feel free to email us if you have any questions. Best, Florian Keusch (on behalf of the guest editors) -- Florian Keusch Professor of Social Data Science and Methodology University of Mannheim A5, 6 Room B218, 2nd floor 68159 Mannheim, Germany +49 (0)621 - 181 3214 f.keusch(a)uni-mannheim.de floriankeusch.weebly.com

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GESIS Panel: Call for Submission
by Weiss, Bernd 07 Oct '22

07 Oct '22

Liebe Kolleg:innen, ich darf Sie noch auf den folgenden Call for Study Submissions des GESIS Panel hinweisen: Inflation, rising energy prices, war in Ukraine, climate crisis - those are just some of the issues that are moving the German population. Your research interest lies in these fields, and you are lacking empirical data? We invite you to submit your research to the GESIS Panel to conduct a population survey in Germany free of charge. The GESIS Panel offers researchers the opportunity to collect longitudinal and cross-sectional data in a mixed-mode (online and postal mail) panel. We offer high data quality through intensive panel management. The probabilistic sample consists of about 5,000 respondents who are interviewed every three months on a wide variety of topics. Please fill out our Short Submission Form<https://www.gesis.org/fileadmin/upload/GESIS_Panel/Submissions/GESIS_Panel_…> (522 kB). Your survey can be fielded in one or more waves. Submissions will undergo a timely internal review process. The deadlines for the submissions are: * October 23 for the (first, in case of multiple waves) wave fielded from February 22 until April 18, 2023 * February 19 for the wave fielded from May 24 until July 18, 2023 For more details: see https://www.gesis.org/gesis-panel/submission/call-for-submission Best wishes Bernd Weiß -- Dr. Bernd Weiß | Head of Team GESIS Panel http://berndweiss.net/ GESIS - Leibniz Institute for the Social Sciences P.O. Box 12 21 55 | 68159 Mannheim | Germany Phone +49 621 1246 557 | Fax +49 621 1246 577 For further information follow us on: Our website: http://www.gesis-panel.org/ On Facebook: https://www.facebook.com/GESISPanel On Twitter: https://twitter.com/GESIS_Panel On Instagram: https://www.instagram.com/gesis_panel/?hl=de Stay up to date with our GESIS Panel Newsletter: https://www.gesis.org/gesis-panel/newsletter

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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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