Methoden

methoden@mailman.uni-konstanz.de

3 participants
1882 discussions

CfP ESRA 2025: Teaching Survey Methodology – Challenges and New Approaches with links
by Drasch, Katrin 29 Nov '24

29 Nov '24

Dear Colleagues, maybe some of you are also involvend with teaching survey methodology and could benefit from participating at the 11th conference of the European Survey Research Association (ESRA) (https://www.europeansurveyresearch.org/conference/utrecht-2025/call-for-abs…), which takes place at Utrecht University, The Netherlands, from July 14 to July 18, 2025. The session "Teaching Survey Methodology – Challenges and New Approaches" (https://www.europeansurveyresearch.org/conf2025/sessions.php?sess=79) is organized by me (Katrin Drasch, FAU Erlangen-Nürnberg) but I hope that there are some of you somewhere who are in a similar situation/position and we can share some experiences. Please submit your abstract (max. 300 words) via the ESRA conference management system by December 20, 2024. Session Details Many higher education curricula involve survey data collection by students, aiming to teach a complete empirical research circle from formulating a research question to finding a preliminary empirical answer. This approach is often justified because it constitutes a crucial skill for future careers in both academic and non-academic environments. However, over the past two decades, data collection has increasingly shifted from written or oral/telephone interviews to more complex methods like online surveys, longitudinal studies, and alternative data sources, making it increasingly challenging to teach survey methodology in its entirety. Current curricula often face two major issues: first, the limited time available for empirical research projects, typically a maximum of two academic terms, often necessitates shortcuts, such as skipping cognitive pretesting, to complete data analysis on time. Second, there is often little financial support for material expenses (e.g., postal charges, printing questionnaires) or technical resources (e.g., access to sampling frames). This can lead to the misinterpretation of results, such as treating non-probability snowball sampling as representative. As a result, self-collected data often suffer from quality issues and are thus not suitable for scientific publications. This session aims to discuss these challenges and explore new approaches to collecting scientifically valuable data in a teaching environment. For instance, experimental designs (e.g., factorial surveys or choice experiments) that do not require large or representative samples could be considered. Additionally, incorporating AI tools into survey methodology instruction, such as using them to generate and pretest questionnaires, could provide new opportunities. Alternative data sources (e.g., social media data or anonymized university records) and collaborations with external (non-academic) partners, along with the challenges they pose (e.g., data protection and exchange), could also be explored. These and other alternative and/or innovative topics are welcome to this session. I am looking forward to your submissions. Please feel free to forward this call within your networks! Best regards Katrin Drasch -- Dr. Katrin Drasch, Akademische Oberrätin (LfbA) Institut für Soziologie Kochstraße 4 91054 Erlangen

1 0

CfP ESRA Session on Climate Change and the Environment
by Henning Best 28 Nov '24

28 Nov '24

Dear colleagues, We are pleased to invite submissions for our session “Current Methodological Challenges and Applications in Environmental and Climate Research” at the European Survey Research Association (ESRA) 2025 conference at the Utrecht University, The Netherlands, from July 14 to July 18, 2025. Session Focus: Climate change and the depletion of natural resources are critical global challenges requiring innovative policies and societal action. To understand public perceptions, environmental behaviors, and policy support, robust data and methodologies are essential. Our session will explore how survey research can advance knowledge in this field, with a focus on addressing key methodological challenges. We welcome contributions that focus on one of these topics. • Measuring environmental behavior and household carbon footprints, addressing biases (e.g., self-reporting, social desirability). • Investigating public opinion, policy acceptance, and climate skepticism while managing response biases and privacy concerns. • Employing survey experiments to evaluate policy perceptions under uncertainty and complexity. • Integrating survey data with novel data sources (e.g., geospatial data, sensor data, administrative data) to consider context effects and enhance data quality. • Addressing sample-selection and the under-representation of far-right supporters and climate sceptics. Submission Details Abstracts should include a clear description of the research question, methodology, and relevance to the session's theme. • Abstract: max. 300 Words • Submission Deadline: 20th December 2024 • Submission Portal: ESRA conference management system www.europeansurveyresearch.org/call-for-esra25-abstracts-now-open/ For questions or further information, please feel free to contact us. We look forward to receiving your submissions and to engaging discussions at ESRA 2025! Henning Best, Christiane Bozoyan, Manuela Schmidt, Claudia Schmiedeberg

1 0

Ausschreibung in Mixed-Methods-Projekt an der Universoität Bremen /Forschungsinstitut gesellschaftlicher Zusammenhalt (Bewerbungsfrist 16.12.
by Betina Hollstein 27 Nov '24

27 Nov '24

Liebe Kolleginnen und Kollegen, an der Universität Bremen ist am *SOCIUM Forschungszentrum Ungleichheit und Sozialpolitik*in dem vom BMBF geförderten *Mixed-Methods* *Forschungsinstituts Gesellschaftlicher Zusammenhalt (FGZ)* im *Projekt „Angespannte Beziehungen? Segmentation und wechselseitige Bewertung sozialer Milieus“* unter der Leitung von Michael Windzio und mir zum nächstmöglichen Zeitpunkt eine Stelle alsWissenschaftliche:r Mitarbeiter:in (29,4 Std.) zu besetzen. * * Bitte finden Sie weitere Informationen in der angehängten Ausschreibung. Wir würden uns freuen, wenn Sie ggf. infrage kommende Personen auf die Ausschreibung aufmerksam machen würden. Mit freundlichen Grüßen, Betina Hollstein und Michael Windzio -- 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 Recent publications: * Settersten, R.A., B. Hollstein, K.K. McElvaine (2024): ”Unlinked lives”: Elaboration of a concept and its significance for the life course. Advances in Life Course Research, Vol. 59, 100583 doi.org/10.1016/j.alcr.2023.100583 * Hollstein, B. (2024): Qualitative and Mixed Methods. In: J.McLevey, P. Carrington & J. Scott (Eds.): SAGE Handbook of Social Network Analysis, 2nd edition. Sage, 562-574. * Hollstein, B. (2023): Personal Network Dynamics across the Life Course. A Relationship-related Structural Approach. Advances in Life Course Research. Vol 58, 100567. doi.org/10.1016/j.alcr.2023.100567 * Marsden, P.V. & B. Hollstein (2022): Advances and Innovations in Methods for Collecting Egocentric Network Data. Social Science Research 108, 102816.https://doi.org/10.1016/j.ssresearch.2022.102816 * Hollstein, B. (2021): Promises and Pitfalls of Qualitative Longitudinal Research. Longitudinal and Life Course Studies 12 (1), 7-17.https://doi.org/10.1332/175795920X16040851984946 * Hollstein, B. (2021): Georg Simmel’s Contribution to Social Network Research. In: M.L. Small, B.L. Perry, B. Pescosolido, & E. Smith (Eds.): Personal Networks: Classic Readings and New Directions in Ego-centric Analysis. New York: Cambridge University Press, 51-69.https://doi.org/10.1017/9781108878296.003 * Hollstein, B., R. Greshoff, U. Schimank & A. Weiss (2021) (Eds.): Soziologie - Sociology in the German speaking world. Special Issue Soziologische Revue 2020. De Gruyter: Berlin. 557 pages.https://doi.org/10.1515/9783110627275

1 1

Antw: Methoden Nachrichtensammlung, Band 238, Eintrag 14 (Verzögerungen im Beantworten von E-Mails / Delay in responses)
by Dimitri Prandner 26 Nov '24

26 Nov '24

Dear colleagues, thank you for your message. I am out of office at the moment, as I do fieldwork for a study in Italy. I will be back at the office at Monday, Dec. 2nd. I will answer your e‐mail as soon as possible. Dimitri Prandner >>> <methoden-request(a)mailman.uni-konstanz.de> 11/26/24 12:00 >>> Um E-Mails an die Liste Methoden zu schicken, nutzen Sie bitte die Adresse methoden(a)mailman.uni-konstanz.de Um sich via Internet von der Liste auszutragen oder in die Liste einzutragen: https://mailman.uni-konstanz.de/mailman/listinfo/methoden Oder schicken Sie eine E-Mail mit dem Wort "help" in der Betreffzeile oder im Text an methoden-request(a)mailman.uni-konstanz.de Sie können den Verwalter dieser Liste unter der Adresse methoden-owner(a)mailman.uni-konstanz.de erreichen. Wenn Sie antworten editieren bitte Sie die Betreffzeile auf einen sinnvollen Inhalt der spezifischer ist als "Re: Contents of Methoden digest..." Meldungen des Tages: 1. CfP ESRA 2025: Surveying people living in nursing homes and other institutions (Bünning) ---------------------------------------------------------------------- Message: 1 Date: Mon, 25 Nov 2024 14:35:12 +0000 From: Bünning, Mareike <Mareike.Buenning(a)dza.de> To: "methoden(a)mailman.uni-konstanz.de" <methoden(a)mailman.uni-konstanz.de> Subject: [Methoden] CfP ESRA 2025: Surveying people living in nursing homes and other institutions Message-ID: <7a07df67542c4a5885448808882d0678(a)dza.de> Content-Type: text/plain; charset="iso-8859-1" Dear Colleagues, we are excited to invite submissions for our upcoming session Surveying people in nursing homes and other institutions: Challenges and Solutions<https://www.europeansurveyresearch.org/conf2025/sessions.php?sess=113>, at the 11th conference of the European Survey Research Association (ESRA)<https://www.europeansurveyresearch.org/conference/utrecht-2025/call-for-abs…>, which takes place at Utrecht University, The Netherlands, from July 14 to July 18, 2025. The session is organized by Michael Bergmann (SHARE), Mareike Bünning (DZA), Katrin Drasch (FAU Erlangen-Nürnberg) and Michael Weinhardt (DZA). Please submit your abstract (max. 300 words) via the ESRA conference management system<https://www.europeansurveyresearch.org/conf2025/> by December 20, 2024. Session Details A substantial part of every society's population resides in nursing homes, long-term care facilities or residential homes for disabled adults. However, many surveys restrict their samples to people living in private households, excluding institutionalised populations. This leads to biased estimates in population-level research. Including these populations is crucial for providing a more comprehensive understanding of social outcomes across different living conditions and informing policies that address the needs of vulnerable groups. Yet, even if surveys attempt to collect data from people living in institutions, this comes with particular problems and challenges. Finding a suitable sampling frame is often challenging and may require a two-step procedure, where institutions are sampled first and individuals within institutions second. In panel studies, tracking the transition into institutionalised living is particularly difficult. Moreover, gaining the cooperation of institutions, which are not the primary research target but play a key role as 'gatekeepers', is essential. Conducting the interview itself may pose further challenges, including finding a suitable location in the institution and scheduling interviews around tight routines. Finally, depending on the institution, the health status of residents may limit their ability to participate in the survey, and alternative methods like assisted or proxy interviews may be necessary to maintain data quality and representativeness. This session invites contributions that address these challenges and propose solutions for surveying institutionalised populations. Topics may includ* Sampling institutions, including questions of suitable sampling frames or other approaches * Sampling procedures for individuals residing within institutions * Monitoring transitions to institutional living in panel studies * Engaging institutional managers and stakeholders to support research efforts * Practical challenges in conducting interviews within institutions and nursing homes * Ethical issues in surveying the institutionalised population, such as consent and vulnerability * Enhancing data quality in surveys on institutionalised populations We are looking forward to your submissions. Best regards Mareike Bünning --- Dr. Mareike Bünning Wissenschaftliche Mitarbeiterin Deutscher Alterssurvey/Senior Researcher German Ageing Survey Deutsches Zentrum für Altersfragen/German Centre of Gerontology Manfred-von-Richthofen-Str. 2 12101 Berlin, Germany Tel: +4930 - 260740-93 E-Mail: mareike.buenning(a)dza.de<mailto:mareike.buenning@dza.de> Internet: www.dza.de <http://www.dza.de/> -------------- nächster Teil -------------- Ein Dateianhang mit HTML-Daten wurde abgetrennt... URL: <http://mailman.uni-konstanz.de/pipermail/methoden/attachments/20241125/a47f…> Ende Methoden Nachrichtensammlung, Band 238, Eintrag 14 *******************************************************

1 0

CfP ESRA 2025: Surveying people living in nursing homes and other institutions
by Bünning, Mareike 25 Nov '24

25 Nov '24

Dear Colleagues, we are excited to invite submissions for our upcoming session Surveying people in nursing homes and other institutions: Challenges and Solutions<https://www.europeansurveyresearch.org/conf2025/sessions.php?sess=113>, at the 11th conference of the European Survey Research Association (ESRA)<https://www.europeansurveyresearch.org/conference/utrecht-2025/call-for-abs…>, which takes place at Utrecht University, The Netherlands, from July 14 to July 18, 2025. The session is organized by Michael Bergmann (SHARE), Mareike Bünning (DZA), Katrin Drasch (FAU Erlangen-Nürnberg) and Michael Weinhardt (DZA). Please submit your abstract (max. 300 words) via the ESRA conference management system<https://www.europeansurveyresearch.org/conf2025/> by December 20, 2024. Session Details A substantial part of every society's population resides in nursing homes, long-term care facilities or residential homes for disabled adults. However, many surveys restrict their samples to people living in private households, excluding institutionalised populations. This leads to biased estimates in population-level research. Including these populations is crucial for providing a more comprehensive understanding of social outcomes across different living conditions and informing policies that address the needs of vulnerable groups. Yet, even if surveys attempt to collect data from people living in institutions, this comes with particular problems and challenges. Finding a suitable sampling frame is often challenging and may require a two-step procedure, where institutions are sampled first and individuals within institutions second. In panel studies, tracking the transition into institutionalised living is particularly difficult. Moreover, gaining the cooperation of institutions, which are not the primary research target but play a key role as 'gatekeepers', is essential. Conducting the interview itself may pose further challenges, including finding a suitable location in the institution and scheduling interviews around tight routines. Finally, depending on the institution, the health status of residents may limit their ability to participate in the survey, and alternative methods like assisted or proxy interviews may be necessary to maintain data quality and representativeness. This session invites contributions that address these challenges and propose solutions for surveying institutionalised populations. Topics may include, but are not limited to: * Sampling institutions, including questions of suitable sampling frames or other approaches * Sampling procedures for individuals residing within institutions * Monitoring transitions to institutional living in panel studies * Engaging institutional managers and stakeholders to support research efforts * Practical challenges in conducting interviews within institutions and nursing homes * Ethical issues in surveying the institutionalised population, such as consent and vulnerability * Enhancing data quality in surveys on institutionalised populations We are looking forward to your submissions. Best regards Mareike Bünning --- Dr. Mareike Bünning Wissenschaftliche Mitarbeiterin Deutscher Alterssurvey/Senior Researcher German Ageing Survey Deutsches Zentrum für Altersfragen/German Centre of Gerontology Manfred-von-Richthofen-Str. 2 12101 Berlin, Germany Tel: +4930 - 260740-93 E-Mail: mareike.buenning(a)dza.de<mailto:mareike.buenning@dza.de> Internet: www.dza.de <http://www.dza.de/>

1 0

Call for Papers 6th MASS Workshop (Mobile Apps and Sensors in Surveys)
by Florian Keusch 22 Nov '24

22 Nov '24

/Call for Papers/ 6th MASS Workshop Mobile Apps and Sensors in Surveys _https://massworkshop.org <https://massworkshop.org>_ Date 4-5 June 2025 Location London School of Economics (LSE), London, UK Organizing committee Local organizers: Patrick Sturgis (London School of Economics), Oriol Bosch (Oxford University) Scientific committee: Bella Struminskaya (Utrecht University), Peter Lugtig (Utrecht University), Florian Keusch (University of Mannheim), and Jan Karem Höhne (DZHW, Leibniz University Hannover) 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 participants whose abstracts will be accepted for a paper presentation. Upon acceptance participants are expected to submit a handout (max. of 5 pages). The workshop is free of charge for participants, but participants are expected to cover their own travel and lodging costs. The program, selected presentations and keynotes from five earlier MASS workshops can be found at _https://massworkshop.org <https://massworkshop.org>_. Scope of the workshop For the sixth MASS workshop, we invite contributions that focus, among others, on the following methodological issues when using mobile apps, sensors, and wearables 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 nonparticipation) 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 encourage submission of work in progress and are particularly interested in studies that use experimental designs to test strategies to collect data from mobile apps, sensors, and wearables. We are open to both empirical studies as well as descriptions of research data collection and infrastructure (e.g., front- or backend of an app) and processing of data from apps and sensors. Submission process and timeline Please submit your abstract (max. 500 words) for the workshop to _massworkshop(a)zohomail.eu <mailto:massworkshop@zohomail.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: * 22 January 2025: Deadline for abstract submission. * 14 February 2025: Feedback on acceptance will be provided. * 20 May 2025: 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. All participants are expected to read all handouts before coming to the workshop. * 4 June 2025: Start of MASS Workshop -- 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

1 0

DATA RELEASE: RISC REGIONAL PANEL 2021 - WAVE 1 (FGZ-Regionalpanel Welle 1)
by Jean-Yves Gerlitz 20 Nov '24

20 Nov '24

Dear Colleagues, We are happy to announce the *release* of the first *Scientific Use File* of the *RISC Regional Panel*: The *RISC **R**egional **P**anel 2021 – Wave 1 *(risc_regpan.2021.w1.v1). For more details and information how the data can be obtained, please see below or visit https://fgz-risc-data.de/datenportal/datenangebot/risc_regional_panel/wave1… *The* *RISC Regional Panel: *Coordinated by the RISC section Halle (Saale), sections Bielefeld, Göttingen, and Hannover jointly conducted this panel study on social cohesion in local societies. The RISC Regional Panel covers 12 communes in 4 German federal states (Bavaria, Lower-Saxony, North Rhine-Westphalia, Saxony-Anhalt): One large city (min 200,000 inhabitants), one medium-sized city (max 50,000 inhabitants), and one small commune/village each. The samples are randomly drawn from official registry and the data are representative for each commune. *The **RISC **R**egional **P**anel 2021 – Wave 1: *The first wave of the dataset comprises data on a wide range of topics like social cohesion, neighbourhoods, media consumption, local infrastructures, andpolarisation. *Data Access:* The RISC RegPan W1 2021 can be ordered by all *p**ost-doctoral researchers affiliated with a scientific institution*. For that purpose, please set up a *data user account* at https://fgz-risc-data.de/en/registration if not yet done. You can use this account in the future to order all Scientific Use Files available at the Research Data Centre of the Research Institute Social Cohesion (RDC-RISC). Account holders (primary users) may share the data with researchers under their supervision (secondary users). Secondary users must be listed in the primary user's data user account and must sign a privacy policy, which must be archived by the primary user. We would like to point out that we provide data for scientific use only. If you have any questions, please contact us at fgzdz(a)uni-bremen.de. Best regards, the team of the RDC-RISC -- Dr. Jean-Yves Gerlitz Coordinator Research Data Centre Research Fellow logo-fgz Forschungsinstitut Gesellschaftlicher Zusammenhalt Geschäftsstelle Bremen Research Data Centre of the RISC (RDC-RISC) Research Center on Inequality and Social Policy (SOCIUM) University of Bremen P.O. Box 330 440 28334 Bremen, Germany Telefon: +49(0) 421 / 218 - 570 88 | Fax: +49(0) 421 / 218 98 - 570 88 E-Mail: gerlitz(a)uni-bremen.de www.fgz-risc.de <https://www.fgz-risc.de/> www.fgz-risc-data.de <https://www.fgz-risc-data.de/>

1 0

KFN Herbst-/Wintertagung “Maschinelles Lernen und computergestützte Methoden in der Kriminologie”
by Daniel Seddig 20 Nov '24

20 Nov '24

Liebe Kolleg*innen, erlauben Sie mir auf die Herbst-/Wintertagung “Maschinelles Lernen und computergestützte Methoden in der Kriminologie” am KFN hinzuweisen. Die Tagung findet am Montag, den 2. Dezember 2024 online statt. Die Teilnahme ist kostenlos. Weitere Informationen finden Sie hier: https://kfn.de/veranstaltungen/kfn-methodlab-herbst-wintertagung-2024/ Freundliche Grüße Daniel Seddig ---- PD Dr. Daniel Seddig Kriminologisches Forschungsinstitut Niedersachsen e.V. Criminological Research Institute of Lower Saxony Lützerodestraße 9, 30161 Hannover, Germany E-Mail: daniel.seddig(a)kfn.de<mailto:daniel.seddig@kfn.de> | Web: https://kfn.de/ Tel.: +49 (0) 511 34836-76 Informationen zum Datenschutz: https://www.kfn.de/datenschutzerklaerung/ Vorstand im Sinne des § 26 BGB (einzelvertretungsberechtigt) Direktor Prof. Dr. Thomas Bliesener und stellv. Direktor Prof. Dr. Tillmann Bartsch Eingetragen beim Amtsgericht Hannover, Vereinsregister VR 4622 Recently published: Legal Cynicism<https://doi.org/10.1080/07418825.2024.2393197> (2024) Self-Control Ability Scale<https://doi.org/10.1080/07418825.2024.2413584> (2024) Human Values and Transnational Solidarity<https://doi.org/10.1111/jcms.13517> (2024) Latent Growth Models for Count Outcomes<https://doi.org/10.1080/10705511.2023.2175684> (2024)

1 0

Stellenausschreibung am RMZ/HU Berlin im Projekt Transfersurvey (100%, E13, 4 Jahre befristet)
by Jens Ambrasat 19 Nov '24

19 Nov '24

Liebe Kolleg:innen, am Robert K. Merton Zentrum für Wissenschaftsforschung (Humboldt-Universität zu Berlin) ist eine 4-Jahres-Stelle im Projekt Transfersurvey ausgeschrieben. https://haushalt-und-personal.hu-berlin.de/de/personal/stellenausschreibung… In dem Projekt wird ein Survey entwickelt, der als Teil einer umfassenden Monitoringstrategie Informationen zum Wissenstransfer zwischen Wissenschaft und Gesellschaft liefert. Der Transfersurvey wird am RMZ in Zusammenarbeit mit dem Team des Berlin Science Survey entwickelt. Die Stelle ist auch für eine Promotion geeignet. Wir freuen uns über aussagekräftige Bewerbungen. -- <http://www.rmz.hu-berlin.de%0d>_<http://www.rmz.hu-berlin.de%0d>_ *Dr. Jens Ambrasat* Berlin Science Survey Projektleiter www.berlinsciencesurvey.de Tel: 030-2093-65882 *Robert K. Merton Zentrum für Wissenschaftsforschung Humboldt-Universität zu Berlin* Philosophische Fakultät, Institut für Bibliotheks- und Informationswissenschaft Sitz: Schönhauser Allee 10/11, 10119 Berlin, Aufgang B, 4.OG Postanschrift: Unter den Linden 6, 10099 Berlin www.rmz.hu-berlin.de BSS_Logo

1 0

Stellenausschreibungen: 2 Doktorand:innen im FReDA Projekt (E13, 75%, 4 Jahre befristet), bitte Bewerbungsfrist beachten
by Gummer, Tobias 19 Nov '24

19 Nov '24

Liebe Kolleg:innen, wir suchen bei GESIS für die "Family Research and Demographic Analysis" (FReDA)<https://www.freda-panel.de/FReDA/DE/Startseite.html> Studie noch zwei Doktorand:innen. FReDA ist ein Kooperationsprojekt zwischen dem Bundesinstitut für Bevölkerungsforschung (BiB) und GESIS. DRS-35: Doktorand:in (E13, 75%, 4 Jahre befristet, Bewerbungsfrist 24.11.2024) https://www.hidden-professionals.de/HPv3.Jobs/gesis/stellenangebot/42025/Re… DRS-37: Doktorand:in Survey Methodology (E13, 75%, 4 Jahre befristet, Bewerbungsfrist 04.12.2024) https://www.hidden-professionals.de/HPv3.Jobs/gesis/stellenangebot/44680/Re… Bitte beachten Sie die sehr nahen Bewerbungsfristen. 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>

1 0

← Newer
1
...
9
10
11
12
13
14
15
...
189
Older →

Jump to page:

2025

2024

2023

2022

2021

2020

2019

2018

2017

2016

2015

2014

2013

2012

2011

2010

2009

2008

2007

2006

2005

2004

Methoden