Methoden October 2023

methoden@mailman.uni-konstanz.de

10 participants
15 discussions

Call for Papers (abstracts): General Online Research 2024
by Florian Keusch 11 Oct '23

11 Oct '23

*Call for Papers (abstracts): General Online Research 2024 * *(GOR 24,* *https://www.gor.de* <https://www.gor.de/>*)* *When:* * 21–23 February 2024* *Where: Rheinische Fachhochschule Köln gGmbH, Cologne, Germany* * Until *15 November 2023*: Deadline for abstract submissions for tracks A, B, C as well as the GOR Thesis Award 2024 competition * Until *30 November 2023*: Deadline for abstract submissions for GOR Best Practice Award 2024 and the Track D Session “Innovation in Practice” * Until *18 December 2023:* Deadline for submissions for Poster presentations (incl. GOR Poster Award 2024) *Main topics: Online and Mobile Web Surveys, Data Science, Big Data, Smart Data, Political Research, Public Opinion, Political Online Communication, Online Market Research* GOR is organized by the German Society for Online Research (DGOF, https://www.dgof.de/) since 1997. Each year around 300 participants attend the conference to discuss current developments in online research and best practices for their work in industry and academia. With more than 100 presentations addressing various subtopics of online research, GOR provides intensive training and networking opportunities. Partner and Co-Organizer: Rheinische Fachhochschule Köln – University of Applied Sciences, Prof. Dr. Christian Bosau Please find the detailed call at https://www.gor.de/about/call-for-papers.html *Conference Topics* This year’s conference seeks submissions in: * *Survey Research:* *Advancements in* *Online and Mobile Web Surveys (Track A)* * *Data Science: >From Big Data to Smart Data* *(Track B)* * *Politics, Public Opinion, and Communication* *(Track C)* The programme committee invites presenters from industry, academia, official statistics, government agencies, and other sectors to submit their work for presentation. Submissions will be accepted based on a double-blind peer review process. *Submission Types* 1. *Survey Research: Advancements in Online and Mobile Web Surveys (Track A)* 2. *Data Science: >From Big Data to Smart Data* *(Track B)* 3. *Politics, Public Opinion and Communication (Track C)* 4. *Best Practice Presentations (including the GOR Best Practice Award 2024 competition)* 5. *Posters (including the GOR Poster Award 2024 competition)* 6. *Thesis Presentations (including the GOR Thesis Award 2024 competition)* *Deadlines* * *15 November 2023*: Deadline for abstract submissions for Tracks A – C as well as the GOR Thesis Award 2024 competition * *30 November 2023*: Deadline for abstract submissions for GOR Best Practice Award 2024 and the Track D Session “Innovation in Practice” * *18 December 2023:* Deadline for submissions for Poster presentations (incl. GOR Poster Award 2024) * *3 January 2024*: Deadline presenting author registration (usually the first author) * *14 January 2024*: Deadline for early bird registration & for poster presenters registration (usually the first author) *Submission Format and Submission Procedure* The official conference language is English. Abstracts should be submitted online to one of the tracks via https://www.conftool.org/gor24/ The abstract can be up to 350 words. Abstracts will be peer-reviewed with respect to the quality of each of the four paragraphs in the abstract. */Template for abstract submission:/* Relevance & Research Question: ---your text here--- Methods & Data: ---your text here--- Results: ---your text here--- Added Value: ---your text here--- Please use the above template for your abstract submission (one paragraph for each criterion and include the keywords at the beginning of each paragraph). *Incomplete abstracts with respect to the formal criteria above are likely to be rejected.* *Contact Details* Conference website, abstract submission, workshops: https://www.gor.de/ Contact: office(a)dgof.de October 2023 Prof. Dr. Simon Kühne (GOR 24 Programme Chair) on behalf of the programme committee -- Florian Keusch Professor of Social Data Science and Methodology University of Mannheim School of Social Sciences Professorship for Social Data Science and Methodology | A5, 6 | 68131 Mannheim Germany Phone: +49 (0)621 181-3214 E-mail:f.keusch@uni-mannheim.de

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GESIS Workshops
by Kunz, Verena 10 Oct '23

10 Oct '23

***Apologies for cross-posting*** Dear colleagues, I'd like to draw your attention to the upcoming GESIS Workshops, taking place online, in Cologne or in Mannheim, mostly in the areas of quantitative methods and computational social science. The course program for the remainder of 2023 includes - amongst others - courses on interaction effects, power analysis, synthetic data, and multilingual text analysis before we kick off 2024 with workshops on propensity score matching, machine learning, computational text analysis, sensor data, and more. For more information and registration see the full list below or visit us at https://training.gesis.org/. 30. - 31.10. Fundamentals and Advanced Topics in Modeling Interaction Effects<https://bit.ly/ModelingInteractionEffects> (Mannheim) Janina Beiser-McGrath, Liam F. Beiser-McGrath 06. - 08.11. Sequence Analysis in the Social Sciences<https://bit.ly/SequenceAnalysis> (Online) Marcel Raab, Emanuela Struffolino 13. - 14.11. Power Analysis Through Simulation in R<https://bit.ly/PowAnalysis> (Online) Niklas Johannes 13. - 15.11. Synthetic Data: Generation and Evaluation<https://bit.ly/SynthData> (Online) Thom Volker 16. - 17.11. Workflows for Reproducible Research with R & Git<https://bit.ly/WfRRwRGit> (Online) Johannes Breuer, Bernd Weiß, Arnim Bleier 22. - 24.11. Introduction to Bayesian Statistics<https://bit.ly/IntroBayStat> (Online) Denis Cohen 28. - 30.11. Research Data Management and Open Science<https://bit.ly/23-11-RDM> (Online) Anja Perry, Sebastian Netscher 29.11. - 01.12. Einführung in die Strukturgleichungsmodellierung<https://bit.ly/Strukturgleichungsmodellierung> (Cologne) Marie-Ann Sengewald 06. - 08.12. Going Cross-Lingual: Computational Methods for Multilingual Text Analysis<https://bit.ly/MultilingualTextAnalysis> (Cologne) Hauke Licht, Fabienne Lind 07. - 08.12 & 14. - 15.12. Introduction to Event History Analysis<https://bit.ly/EventHis2023> (Online) Jan Skopek 11. - 15.12. Causal Mediation Analysis<https://bit.ly/CausalMediationAnalysis> (Online) Felix Thoemmes 13. - 15.12. Introduction to Stata<https://bit.ly/23-12-Intro_Stata> (Online) Alexandra Asimov, Katrin Firl 16. - 18.01. Introduction to R for Quantitative Social Science<https://bit.ly/24-01_IntroR> (Online) Ranjit Konrad Singh, Björn Rohr 18. - 19.01. Data Quality Assessment for Online Survey Responses: Be Careful of the Careless<https://bit.ly/DQA_OnlineSurveyResponses> (Mannheim) Nivedita Bhaktha, Thomas Knopf 29.01. - 01.02. Decomposition Methods in the Social Sciences<https://bit.ly/Decomposition_Methods> (Cologne) Johannes Giesecke, Ben Jann 14. - 15.02. Automatic Sampling and Analysis of YouTube Data<https://bit.ly/Sampling_Analysis_YouTubeData> (Online) Johannes Breuer, Rohangis Mohseni, Annika Deubel 20. - 21.02. Propensity Score Matching: Computation and Balance Estimation for two and more groups in R<https://bit.ly/Propensity_Score_Matching> (Online) Julian Urban 20. - 23.02. Applied Machine Learning with R<https://bit.ly/AppliedMachineLearningR> (Online) Paul Pauer 21. - 23.02. Durchführung qualitativer Interviews<https://bit.ly/QualInterviews24> (Cologne) Nicole Bögelein, Katharina Leimbach 26. - 27.02. Grounded-Theory-Methodologie<https://bit.ly/Grounded-Theory-Methodologie> (Online) Günter Mey, Paul Sebastian Ruppel 13. - 15.03. Introduction to Computational Text Analysis with R<https://bit.ly/ComputationalTextAnalysisR> (Online) Lea Kaftan, Jan Schwalbach 20. - 22.03. Applied Multiverse Analysis<https://bit.ly/App-multiverse-analysis> (Online) Reinhard Schunck 21. - 22.03. Using Smartphone Sensors, Apps, and Wearables<https://bit.ly/SmartphoneSensorsAppsWearables> (Online) Bella Struminskaya, Florian Keusch 24. - 26.04. Expert*inneninterviews<https://bit.ly/Expertinneninterviews> (Cologne) Laura Behrmann, Nicole Bögelein 14. - 17.05. Applied Data Visualization with R<https://bit.ly/AppliedDataVisualizationR> (Online) Paul Bauer 19. - 21.06. Grundlagen und aktuelle Debatten der Regressionsanalyse<https://bit.ly/Grundlagen_Debatten_Regression> (Mannheim) Michael Gebel, Stefanie Heyne 01. - 03.07. Geodata and Spatial Regression Analysis<https://bit.ly/GeodataSpatialRegression> (Mannheim) Tobias Rüttenauer If you have any questions concerning the course program, feel free to get in touch with me. Best wishes, Verena --- Verena Kunz (she/her) Scientific Coordinator Fall Seminar in Computational Social Science and Workshops GESIS - Leibniz-Insitute for the Social Sciences https://gesis.org<https://gesis.org/> | https://training.gesis.org/ @gesistraining<https://twitter.com/gesistraining> | facebook.com/GESISTraining/<https://www.facebook.com/GESISTraining/>

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Reminder: Two doctoral positions in a project on data quality (Deadline: Oct 15)
by Florian Keusch 09 Oct '23

09 Oct '23

Dear colleagues, We are looking for two doctoral candidates to work on a project on the quality of social science data. The project is a collaboration between the University of Mannheim, LMU Munich, and GESIS - Leibniz Institute for the Social Sciences, and applications are accepted at Mannheim and Munich: https://www.sowi.uni-mannheim.de/media/Lehrstuehle/sowi/Keusch/Dateien/KODA… https://job-portal.lmu.de/jobposting/530d1a596712121e49989673df5399734f9be1… The positions are initially offered for a period of 3 years and comes with the opportunity to pursue a PhD. Please refer these positions to potential candidates or apply yourself. Submission deadline is October 15, 2023. If you have any questions, please do not hesitate to contact me. Best regards, Florian Keusch -- Florian Keusch Professor of Social Data Science and Methodology University of Mannheim School of Social Sciences Professorship for Social Data Science and Methodology | A5, 6 | 68131 Mannheim Germany Phone: +49 (0)621 181-3214 E-mail: f.keusch(a)uni-mannheim.de

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Stellenausschreibung TU Berlin
by Nele Dittmar 09 Oct '23

09 Oct '23

Sehr geehrte Damen und Herren, an der TU Berlin ist eine Stelle für eine/n wissenschaftliche/n Mitarbeiter/in ausgeschrieben (TV-L 13, 67%, 36 Monate). Es geht um die Mitarbeit im BMAS-geförderten Forschungsprojekt "Tarifpolitik in der Transformation. Analysen zu Digitalisierung und Nachhaltigkeit in der Arbeitswelt mit alternativen Datenquellen und Mixed Methods", Schwerpunkt quantitative Inhaltsanalyse von Tarifverträgen. Die Bewerbungsfrist endet am 3.11.2023. Die Ausschreibung finden Sie im Anhang. Für Nachfragen stehe ich (nele.dittmar(a)tu-berlin.de) gerne zur Verfügung. Mit freundlichen Grüßen Nele Dittmar

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International Conference Mixed Methods Research in Education
by Hense, Andrea 06 Oct '23

06 Oct '23

Liebe Kolleg:innen, die Anmeldefrist für die Tagung " International Conference Mixed Methods Research in Education", die vom 16. - 17. November 2023 an der Leibniz Universität Hannover (Königlicher Pferdestall) stattfinden wird, endet nächste Woche. Joint Conference of the German Sociological Association's (DGS) Section Education (Bildung & Erziehung), DGS Working Group Mixed Methods (Sections Methods of Empirical/Qualitative Social Research) and DGS Working Group Science & Higher Education Research Auf der Konferenz-Homepage finden Sie alle Informationen zur Tagung bzw. Anmeldung: https://www.ish.uni-hannover.de/de/institut/arbeitsbereiche/bildungssoziolo… Im Anhang können Sie ferner das aktuelle Programm sowie die Abstracts einsehen. Mit besten Grüßen Andrea Hense

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Methoden October 2023