Methoden

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DGOF Best Paper Award 2024 - Deadline: Oct 31
by Florian Keusch 24 Oct '23

24 Oct '23

Dear colleagues, This is a friendly reminder that the deadline for submissions for the DGOF Best Paper Award 2024 is approaching. Please consider submitting your published peer-reviewed work related to online research by Oct 31. Best regards, Florian Keusch *** DGOF Best Paper Award 2024 The German Society for Online Research (DGOF) annually recognizes outstanding scientific contributions in online research through the DGOF Best Paper Award for a researcher or group of researchers. The DGOF by-laws define “online research” as any type of research about computers or other devices that are connected by a network, in particular the Internet. Online research includes online based data collection (e.g., web surveys in online panels), mobile research with smartphones, tablets, and wearables, and the collection and analysis of social media data, administrative data, data from passive measurements, and other Big Data sources. The prize will be awarded to a paper that provides a fundamental scientific contribution to the advancement of the methods of online research. Topics that are suitable for the award can be found in the program of the annual General Online Research (GOR) conference (www.gor.de). Both theoretical/conceptual and empirical/methodological papers are considered for the award. Papers that do not focus on online research but, for example, merely use online data collection (e.g., through a web survey) to answer a substantive research question will not be considered. The award is worth 500 Euro and will be presented at the annual GOR conference. An abstract (and, if available, a preprint) of the award-winning paper will be posted to the DGOF website (www.dgof.de). To be considered for the award, papers must be published in an outlet that uses a peer-review process (e.g., peer-reviewed journal, full papers in peer-reviewed conference proceedings, refereed book chapter) at the time of submission. Papers written in German or English and published not earlier than 2022 (if the paper was published online-first, then the online-first publication date counts) can be submitted for the DGOF Best Paper Award 2024. To be considered for the DGOF Best Paper Award 2024, please fill in the following application form (https://www.dgof.de/forschungsfoerderung/application-dgof-best-paper-award-…) by 31 October 2023. In addition, please send the following material to office(a)dgof.de (subject line: “DGOF Best Paper Award 2024”): Copy (PDF) of the published paper CV of corresponding author The winner will be selected by a committee installed by the DGOF board. All decisions are final and not subject to legal appeal. You can find the Call for Papers here: https://www.dgof.de/forschungsfoerderung/dgof-best-paper-award/ -- 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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Call for Papers: 5th Mobile Apps and Sensors in Surveys (MASS) Workshop in Washington DC
by Höhne, Jan Karem 20 Oct '23

20 Oct '23

***Apologies for cross-posting Dear colleagues, I am very happy to announce that the 5th Mobile Apps and Sensors in Surveys (MASS) workshop takes place in Washington DC (USA) from March 6-7, 2024. Please find a PDF of the MASS call here: https://jkhoehne.eu/wp-content/uploads/2023/10/MASS_CfP_24.pdf This time, the Mobile Apps and Sensors in Surveys (MASS; see https://massworkshop.org/) workshop takes place jointly with the Current Innovations in Probability-based Household Internet Panel Research (CIPHER; see https://cesr.usc.edu/about_us) conference. CIPHER will be held from March 7-8, and presenters at either event are invited to attend both events. 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 people who are presenting a paper at CIPHER or MASS. Upon acceptance participants are expected to submit a handout (max. of 5 pages). The fourth MASS workshop was held at the University of Manchester in June 2023 (see https://massworkshop.org/2022/04/13/materials_2023/). Importantly, even though MASS and CIPHER take place jointly, both events manage their submission and registration process separately. Researchers are eligible to submit abstracts to MASS and CIPHER, but the content of the abstracts must differ and should be tailored to the scope of the events. Participants accepted for CIPHER can also participate in MASS, and vice versa. Topic scope of the workshop For the fifth MASS workshop, we invite contributions that focus, among others, on the following issues when using mobile apps and sensors in surveys: - Technical aspects of mobile apps and sensors o Different ways to collect sensor data o Building apps for Android and iOS o Data processing and storage - Study and app design o Look and feel of apps o Usability studies o Use of incentives o Giving feedback to respondents - Implementation o Willingness to participate and informed consent o Methods to invite and communicate with study participants o Study length and study intensity o Legal considerations o Ethical and privacy considerations - Quality of sensor data o Errors of non-representation (e.g., self-selection, coverage, and non-participation) o Measurement error (e.g., prevention, modeling, and correction) - Data analysis o Analyzing sensor data (e.g., through machine and deep learning) o Combining survey, sensor, and app data We specifically encourage submission of work in progress and are particularly interested in studies that used an experimental design to test strategies to collect data using mobile apps and sensors successfully. We are open to both empirical studies as well as descriptions of data collection infrastructure (e.g., front- or backend of an app) and processing of data from apps and sensors. Travel support for PhD students MASS workshop can provide travel support (up to $600) for PhD students. PhD students who want to be considered for travel support need to state this in their submission email and provide an explanation for why they should be considered for travel support. Submission process and timeline Please submit your abstract (max. 500 words) for the workshop to hoehne(a)dzhw.eu<mailto:hoehne@dzhw.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: 01 December 2023: Deadline for abstract submission 10 December 2023: Feedback on acceptance will be provided 15 February 2024: 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. Participants are expected to read all handouts before coming to the workshop. 06 March 2024: Start of MASS workshop We are really looking forward to your MASS submissions. In case of questions, please do not hesitate to contact Jan Karem Höhne (hoehne(a)dzhw.eu<mailto:hoehne@dzhw.eu>). Your MASS Organizing committee Jan Karem Höhne (DZHW, Leibniz University Hannover) Florian Keusch (University of Mannheim) Peter Lugtig (Utrecht University) Bella Struminskaya (Utrecht University) 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 Juniorprofessor 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., Kern, C., Gavras, K. & Schlosser, S. (in press). The sound of respondents: predicting respondents' level of interest in questions with voice data in smartphone surveys. Quality and Quantity. - Höhne, J.K., Ziller, C., & Lenzner, T. (2023). Investigating respondents' willingness to participate in video-based web surveys. International Journal of Market Research. DOI: 10.1177/14707853231198788 - Gummer, T., Kunz, T., Rettig,. T., & Höhne, J.K. (2023). How to detect and influence looking up answers to political knowledge questions in web surveys? Public Opinion Quarterly. DOI: 10.1093/poq/nfad027 - Höhne, J.K., Krebs, D., & Kühnel, S.M. (2023). Investigating direction effects in rating scales with five and seven points in a probability-based online panel. Survey Research Methods, 17, 193-204. DOI: 10.18148/srm/2023.v17i2.8006 Visit us also on Twitter [cid:image003.png@01DA0334.EE4D7F90] & Linkedin [cid:image004.png@01DA0334.EE4D7F90] Registration court: Amtsgericht Hannover | HRB 210251 Chairman of the supervisory board: Ministerialdirigent Peter Greisler Scientific Director: Prof. Dr. Monika Jungbauer-Gans VAT No. DE291239300 | TAX ID No. 25/206/21502

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Programm Herbsttagung der Sektion „Modellbildung und Simulation“ der DGS
by Shamon, Hawal 16 Oct '23

16 Oct '23

Liebe Kolleginnen und Kollegen, im Anhang finden Sie das Tagungsprogramm der diesjährigen Herbsttagung der Sektion Modellbildung und Simulation der Deutschen Gesellschaft für Soziologie (DGS). Sie wird in Kooperation mit dem Institut für Energie- und Klimaforschung Systemforschung und Technologische Entwicklung (IEK-STE) am Forschungszentrum Jülich sowie dem Institut für Sozialwissenschaften an der Heinrich-Heine-Universität Düsseldorf am 01. Dezember unter folgendem Titel in Düsseldorf ausgerichtet: Modellbildung und Simulation im Kontext der sozialwissenschaftlichen Nachhaltigkeitsforschung Wir freuen uns auf vielversprechende Beiträge, die in Summe ein breites Spektrum an verschiedenen methodischen Ansätzen abdecken. Bei Teilnahmewunsch bitten wir aus organisatorischen Gründen bis zum 15.11.2023 um eine Anmeldung per E-Mail an Frau Manuela Bettag (bettag(a)hhu.de <mailto:bettag@hhu.de> ). Wir freuen uns, Sie in Düsseldorf willkommen zu heißen. Mit besten Grüßen Hawal Shamon, Knut Petzold und Ulrich Rosar Dr. Hawal Shamon Institut für Energie- und Klimaforschung Systemforschung und Technologische Entwicklung (IEK-STE) Forschungszentrum Jülich GmbH 52425 Jülich Telefon: +49 2461 61-3322 Telefax: +49 2461 61-2540 E-Mail: <mailto:h.shamon@fz-juelich.de> h.shamon(a)fz-juelich.de Internet: <https://www.fz-juelich.de/de/iek/iek-ste> https://www.fz-juelich.de/de/iek/iek-ste ResearchGate: <https://www.researchgate.net/profile/Hawal_Shamon> Hawal Shamon on ResearchGate

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WEB DATA OPP Workshop in Barcelona (March 18-19, 2024)
by Höhne, Jan Karem 16 Oct '23

16 Oct '23

***Apologies for cross-posting Dear colleagues, I would like to draw your attention to the upcoming WEB DATA OPP workshop in Barcelona from March 18 to 19, 2024. The workshop is part of the ERC Starting Grant Project WEB DATA OPP lead by Melanie Revilla. Please find the call for abstracts below. Best regards Jan Call for Abstracts: WEB DATA OPP Workshop March 18-19, 2024, Barcelona We are pleased to announce that the ERC-funded WEB DATA OPP project, which investigates how new measurement opportunities linked mainly to the growing presence of smartphones could complement or replace conventional survey data in order to get better or new insights (see https://www.upf.edu/web/webdataopp), is organising a workshop. Event Details * Date: March 18th and 19th, 2024 * Location: RECSM-Universitat Pompeu Fabra (UPF), Ciutadella Campus, Ramon Trias Fargas, 25-27, 08005 Barcelona, Spain Workshop Focus The expansion of the Internet and the development of a range of new active and passive measurement tools, particularly on mobile devices, present exciting opportunities for survey researchers, such as visual or geolocation data capture. Using these new measurement opportunities could reduce respondent burden, improve data quality, and extend measurement into new domains, allowing to answer questions that could not be answered so far and to improve the decisions of key actors. However, while many people speak about these ideas, little research has implemented such possibilities so far. Besides, researchers interested in using such data face a range of key issues, including technical and ethical ones, and very little is known about how to best deal with all these challenges. Thus, the primary objective of this workshop is to engage in fruitful discussions surrounding these challenges presented by the integration of new data types within the context of web surveys. We are particularly interested in the following types of data 1. Visual Data: Exploring the incorporation of screenshots, photos, or videos as potential ways to provide responses in web surveys. 2. Voice Data: Examining the use of dictation or voice recording functions for survey responses. 3. Digital Traces Data: Leveraging digital traces data, especially those collected through meters, to complement or replace conventional survey questions. 4. In-the-Moment Surveys: Investigating the possibilities of conducting surveys triggered by passive data, particularly metered data or geolocation information, shortly after the detection of relevant events. Presentation Emphasis Participants should center their presentations on the problems encountered when designing surveys or experiments including these innovative data types, rather than focusing on research outcomes. In line with this, we welcome works in progress and presentations about studies that have not yet been fielded, as long as they offer insights into the diverse problems researchers face when using new data types. Active Participation To ensure a productive workshop, all participants should actively engage by providing constructive feedback on the work presented by others. Registration and Funding * Participation in the workshop is free of charge. * For participants who need financial assistance to cover travel costs, funding opportunities are available upon request. Submission Guidelines To participate in the workshop, please send the following information: * Submit your presentation title, abstract (maximum 300 words), and a brief presenter biography (maximum 200 words) by October 22 at webdataopp(a)upf.edu<mailto:webdataopp@upf.edu>. * In your email, specify whether you can cover your travel expenses or if you would require funding. In case of requiring fundings, please provide an estimate of how much you would need. Notification of Acceptance: We will notify you of the acceptance of your abstract within two weeks after the abstract submission deadline. We look forward to your contributions and stimulating discussions at the WEB DATA OPP workshop. For inquiries and abstract submissions, please contact the project's team at webdataopp(a)upf.edu<mailto:webdataopp@upf.edu>. 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 Juniorprofessor 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., Ziller, C., & Lenzner, T. (2023). Investigating respondents' willingness to participate in video-based web surveys. International Journal of Market Research. DOI: 10.1177/14707853231198788 - Gummer, T., Kunz, T., Rettig,. T., & Höhne, J.K. (2023). How to detect and influence looking up answers to political knowledge questions in web surveys? Public Opinion Quarterly. DOI: 10.1093/poq/nfad027 - Höhne, J.K., Krebs, D., & Kühnel, S.M. (2023). Investigating direction effects in rating scales with five and seven points in a probability-based online panel. Survey Research Methods, 17, 193-204. DOI: 10.18148/srm/2023.v17i2.8006 Visit us also on Twitter [X] <https://twitter.com/dzhw_info> & Linkedin [X] <https://www.linkedin.com/company/dzhw-gmbh> Registration court: Amtsgericht Hannover | HRB 210251 Chairman of the supervisory board: Ministerialdirigent Peter Greisler Scientific Director: Prof. Dr. Monika Jungbauer-Gans VAT No. DE291239300 | TAX ID No. 25/206/21502

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Postdok PoWi & Methoden Duisburg-Essen 30 Monate Experimente und vergleichende Surveys
by Prof. Dr. Achim Goerres 13 Oct '23

13 Oct '23

-------- Weitergeleitete Nachricht -------- Betreff: Postdok Duisburg-Essen 30 Monate Experimente und vergleichende Surveys / neuer Datensatz der Immigrant German Election Study Datum: Thu, 12 Oct 2023 14:17:51 +0200 Von: Prof. Dr. Achim Goerres <achim.goerres(a)uni-due.de> Antwort an: achim.goerres(a)uni-due.de An: ak-wahlen(a)listserv.dfn.de Liebe Kolleginnen und Kollegen, wir rekrutieren in Duisburg einen Postdok in politischer Soziologie, vergleichender Politikwissenschaft und Methoden für 30 Monate, TV-L14, 100 % in meinem ERC-Projekt POLITSOLID https://bit.ly/politsolid Schwerpunkte der Arbeit sind Experimente und vergleichende Umfragen zum Thema politische Solidaritäten. Deadline ist der 8. November. Ich würde mich freuen, wenn Sie geeignete Personen auf die Stelle hinweisen würden. https://bit.ly/politsolid_postdoc24_de https://www.uni-due.de/karriere/stelle.php?kennziffer=375-23 https://bit.ly/politsolid_postdoc24_EN Rückfragen gerne an mich. Mit besten Grüßen Achim Goerres -- Prof. Dr. Achim Goerres Professor of Empirical Political Science | University of Duisburg-Essen |https://www.achimgoerres.de |https://www.politik-wissenschaft.org Just published Monograph Kumlin, Staffan/ Goerres, Achim (2022): Electoral Campaigns and Welfare State Change: Democratic Linkage and Leadership under Pressure, Oxford: Oxford University Press. http://achimgoerres.de/kumlin-goerres-2022-election-campaigns-and-welfare-s… Reports Goerres, Achim/ Mayer, Sabrina J./ Elis, Jonas (2022): Die Wahlbeteiligung von Bürgerinnen und Bürgern mit familiärer Migrationsgeschichte. Möglichkeiten und Grenzen der Förderung, Stiftung Zentrum für Türkeistudien und Integrationsforschung (gefördert von der Landeszentrale für politische Bildung): Essen. Goerres, Achim/ Mayer, Sabrina J./ Spies, Dennis C./ Elis, Jonas (2022): Wählerinnen und Wähler mit Einwanderungsgeschichte im Bundestagswahlkampf: Erste Ergebnisse der Immigrant German Election Study II (IMGES II) aus Duisburg von Mai bis November 2021. SocArXiv. April 9.https://doi.org/10.31235/osf.io/j72pb Articles Höhne, Jan Karem/ Goerres, Achim (forthcoming). Question Order effects: How Robust are Survey Measures on Political Solidarities with Reference to Germany and Europe? International Journal of Social Research Methodology. Elis, Jonas/ Goerres, Achim/ Mayer, Sabrina J./ Spies, Dennis C. (forthcoming): Comparing the mobilising Effects of In-person Canvassing to Postal Reminders: Experimental Evidence from a Longitudinal Election Study, International Journal of Social Research Methodology. Goerres, Achim/ Höhne, Jan Karem (forthcoming): Evaluating the Response Effort and Data Quality of Established Political Solidarity Measures: A Pre-Registered Experimental Test in an Online Survey of the German Adult Resident Population in 2021, Quality and Quantity. Open Accesshttps://doi.org/10.1007/s11135-022-01594-4 Spies, Dennis C./ Mayer, Sabrina J./ Elis, Jonas/ Goerres, Achim (2023): Why do Immigrants Support an Anti-Immigrant Party? Russian-Germans and the Alternative for Germany, West European Politics, 46/2: 275-99, Open Accesshttps://doi.org/10.1080/01402382.2022

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CfA: Frühjahrstagung 2024
by Heinz Leitgöb 12 Oct '23

12 Oct '23

Sehr geehrte Kolleginnen und Kollegen, die Sektionen „Methoden der empirischen Sozialforschung“ und „Methoden der qualitativen Sozialforschung“ sowie der Arbeitskreis "Mixed Methods" der Deutschen Gesellschaft für Soziologie veranstalten eine gemeinsame Frühjahrstagung zum Thema "Heterogene Daten - plurale Analysen: Herausforderungen für eine methodenplurale Sozialforschung". Diese wird von 06. bis 07. Juni 2024 an der Universität Göttingen stattfinden. Wir freuen uns über die Einreichung von Abstracts für Präsentationen. Details dazu können Sie dem Call for Abstracts entnehmen: https://dgs-methoden.uni-konstanz.de/fileadmin/content/dokumente/2024/cfp_H… Beste Grüße, das Organisationsteam Andrea Hense, Tobias Röhl & Heinz Leitgöb

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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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