Methoden

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1887 discussions

Stellenausschreibung Online-Probability-Panel am IAB
by Trappmann Mark 17 Apr '23

17 Apr '23

Liebe Kolleginnen und Kollegen, am Institut für Arbeitsmarkt- und Berufsforschung (IAB) baut der Forschungsbereich, der für das Panel Arbeitsmarkt und soziale Sicherung (PASS) zuständig ist, ein neues Online-Probability-Panel (IAB-OPAL) für die Arbeitsmarkt- und Sozialsstaatsforschung auf. In diesem Zusammenhang schreibt das IAB in nächster Zeit einige Stellen aus. Den Anfang machen wir mit der beigefügten Ausschreibung, die aufgrund des starken Dienstleistungscharakters (Pretesting, Websurvey-Programmierung, Datenaufbereitung, Teilnehmendenkommunikation) den Vorzug hat, grundsätzlich auf Dauer angelegt zu sein, auch wenn sie zunächst für 2 Jahre befristet besetzt werden soll. Wir freuen uns, wenn Sie die Ausschreibung an potenziell interessierte Personen weiterleiten und stehen für Rückfragen gern zur Verfügung. Mit freundlichen Grüßen Mark Trappmann 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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Last call: Doctoral position in the field of computational survey and social science
by Jan Höhne 17 Apr '23

17 Apr '23

***Apologies for cross-posting Dear colleagues, I am looking for a doctoral candidate in the field of computational survey and social science working with me at DZHW and University of Hannover (follow the link to get to the job posting): https://www.dzhw.eu/pdf/jobs/hf241_job_posting_2023_v2.pdf The position is offered for a period of 3 years with the possibility of an extension for another 3 years. Please refer this position to potential candidates or apply yourself. Submission deadline is *April 21, 2023*. If you have any questions please do not hesitate to contact me. I am really looking forward to receiving applications. Thank you very much! Best regards Jan

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CfP Workshop: "Skills and Qualifications for a Digitalized Future" (SKILLS’23)
by Seegers, Marco 14 Apr '23

14 Apr '23

Liebe Kolleg*innen, anbei ein Call for Paper für den Workshop „Skills and Qualifications for a Digitalized Future (SKILLS’23)“ im Rahmen der Konferenz “Informatik 2023”. Die Konferenz findet vom 26.-29.09.2023 in Berlin (Hochschule für Technik und Wirtschaft) statt. Das Hauptziel des Workshops ist es, eine interdisziplinäre Perspektive auf die Informatik und ihre Beziehung zur Gesellschaft und zum Arbeitsmarkt zu werfen: Welche Kompetenzen/Fähigkeiten und Qualifikationen sind in Zukunft wichtig? Welche werden für den Aufbau einer digitalen und nachhaltigen Gesellschaft und Wirtschaft benötigt? Willkommen sind aktuelle Studien aus den Sozial-, Wirtschafts- und Geisteswissenschaften mit Bezug zur Informatik und mit einem Fokus auf Bildung, Arbeitsmarkt, Qualifikationen und Erwachsenenbildung. Aber auch methodische Beiträge sind erwünscht, zu z. B.: - Data Science Methoden zur Analyse von Bildungs- und Arbeitsmarktdaten - KI-Ansätze für Empfehlungssysteme und digitalisiertes Lernen - Diskussionen über digitale Daten des Themengebietes, ihre Qualität, Verlässlichkeit und Kombinationsmöglichkeiten - Kombinationsmöglichkeiten von quantitativen und qualitativen Daten unter Berücksichtigung von Anonymisierung und Datenschutz Einreichungsfrist ist der 15.05.23. Alle weiteren Informationen können dem beigefügten Call oder Website: https://www.bibb.de/de/172094.php entnommen werden. Viele Grüße Marco Seegers Bundesinstitut für Berufsbildung (BIBB) Wissenschaftlicher Mitarbeiter Stabstelle „Berufe- und Kompetenzradar“ Abteilung 1 – Berufsbildungsforschung und -monitoring<https://www.bibb.de/de/467.php> **** Dear colleagues, Please find attached a call for papers for the workshop "Skills and Qualifications for a Digitalised Future (SKILLS'23)" as part of the conference "Informatik 2023". The conference will take place from 26-29.09.2023 in Berlin (Hochschule für Technik und Wirtschaft). The main aim of the workshop is to take an interdisciplinary perspective on computer science and its relationship with society and the labour market: What skills and qualifications will be important in the future? Which are needed to build a digital and sustainable society and economy? Recent studies from social sciences, economics and humanities related to computer science and with a focus on education, labour market, qualifications and adult education/training are particularly welcome. We also welcome methodological contributions, such as - Data science methods for analysing education and labour market data. - AI approaches for recommendation systems and digital learning - Discussions on digital data in the theme, their quality, reliability and combination possibilities - Possible combinations of quantitative and qualitative data, taking into account anonymisation and data protection. The deadline for submissions is 15.05.23. All further information can be found in the attached call. Best regards Marco Seegers Federal Institute for Vocational Education and Training (BIBB) Research Associate Staff Position „Occupation and Competence Radar“ Department 1 – VET Research and Monitoring<https://www.bibb.de/en/467.php> Robert‐Schuman‐Platz 3 D‐53175 Bonn Marco.Seegers(a)bibb.de<mailto:Marco.Seegers@bibb.de> www.bibb.de<http://www.bibb.de/>

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Verlängerung der Einreichfrist für Abstracts - Herbsttagung Methodensektion & ASI 2023
by Heinz Leitgöb 14 Apr '23

14 Apr '23

Liebe Kolleginnen und Kollegen, ich möchte Sie auf die Verlängeung des Call for Abstracts für die gemeinsame Herbsttagung der Methodensektion und der ASI zum Thema "Methodische Voraussetzungen vergleichender Analysen: Total Comparability Error" von 21. bis 22.09.2023 an der Technischen Universität Dresden hinweisen. Deadline für die Einreichung ist nun der 30.04.2023. Nähere Informationen finden Sie im Anhang bzw. unter: https://dgs-methoden.uni-konstanz.de/fileadmin/content/dokumente/2023/CfA_H… Beste Grüße Heinz Leitgöb

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job opening: doctoral researcher in Economics, Sociology, or a related discipline in a project on COVID-19 and crime
by Heinz Leitgöb 01 Apr '23

01 Apr '23

Liebe Kolleginnen und Kollegen, im Namen von Dietrich Oberwittler darf ich Ihnen das nachfolgende Stellenangebot weiterleiten. Beste Grüße Heinz Leitgöb *********************************************************************** Dear colleagues, the Independent Research Group ‘Space, Contexts, and Crime’ at the Max Planck Institute for the Study of Crime, Security and Law in Freiburg (Germany) is seeking a Doctoral Researcher in Economics, Sociology, or a related discipline (m/f/div) starting July 2023 or later, submission deadline 30 April The researcher will work in the project “The Consequences of the Covid-19 Pandemic for Crime in Southwest Germany” and will analyze changes in recorded crime during the pandemic in association with fine-grained anonymized mobility data and a host of spatial socio-demographic and infrastructural data, applying time series analysis and spatiotemporal modeling at different geographic levels. We are looking for candidates with a Master’s or equivalent degree in economics, social sciences, mathematics, or related subjects. The candidates should have a strong background in econometric/quantitative research methods, advanced knowledge of STATA or R, ideally experience in time series and/or spatial analysis, and interest in crime research. The complete job opening is available here: https://recruitingapp-5535.de.umantis.com/Vacancies/415/Description/2 For questions please contact Prof. Dr. Dietrich Oberwittler (d.oberwittler(a)csl.mpg.de). Many thanks, Dietrich Oberwittler

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GESIS Meet the Experts series: Further talks and panel discussion
by Neuert, Cornelia 30 Mar '23

30 Mar '23

Dear colleagues, The GESIS Meet-the-Expert series continues with five talks until July - one of them today! These are four more presentations on our current Meet-the-Expert topic "Extending survey data through linking and harmonization": * 30 March, 1pm: Meet the Eurobarometer (talk in English) * 13 April, 1pm: Bbkggeocoder: a geocoding tool for survey data (talk in English) * 11 May, 1pm : Socio-demographic variables in surveys: increasing research potential through output harmonization (talk in German) * 1 June, 1pm: "Ex post-harmonised" and cumulated comparative survey data files at GESIS - and what to expect of them (talk in English) On 13 July, there will also be an online panel discussion (in German) on: "Gender-sensitive language in surveys - yes, no, to a certain extent?". You can find more information and the possibility to register on our website: [in German]: https://www.gesis.org/angebot/wissen-vermitteln/meet-the-experts [in English]: https://www.gesis.org/en/services/sharing-knowledge/meet-the-experts Best wishes, Cornelia Neuert --------------------------- Dr. Cornelia Neuert GESIS - Leibniz Institute for the Social Sciences Survey Design & Methodology | Questionnaire Design & Evaluation P.O. Box 12 21 55 | 68072 Mannheim |Germany Phone: +49 (0)621 1246-225 | Fax: +49 (0)621 1246-100 Email: cornelia.neuert(a)gesis.org<mailto:cornelia.neuert@gesis.org> www.gesis.org<http://www.gesis.org/>

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Job posting: Doctoral candidate in the field of computational survey and social science
by Jan Höhne 28 Mar '23

28 Mar '23

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WiMi-Stelle (75 %) mit Möglichkeit zur Promotion
by Knut Petzold 26 Mar '23

26 Mar '23

Liebe Listenmitglieder, in einem Forschunsprojekt zu internationaler Studierendenmobilität an der HSZG ist zum nächstmöglichen Zeitpunkt eine WiMi-Stelle (TV-L 13, 75%) bis 9/2025 mit der Möglichkeit zur Promotion ausgeschrieben. Nähere Informationen sind der Stellenausschreibung im Anhang und nachfolgendem Link zu entnehmen: https://www.hszg.de/news/wissenschaftlicher-mitarbeiter-m-w-d-kennwort-regia Besten Dank für die Weiterleitung an potentiell Interessierte und viele Grüße Knut Petzold Prof. Dr. Knut Petzold Methods of Empirical Social Research Faculty of Social Sciences HSZG University of Applied Sciences

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mda Special Issue: Exploring the methodological choices, challenges and solutions in working with new data sources
by Jan Höhne 23 Mar '23

23 Mar '23

***Apologies for cross-posting Dear colleagues, I am delighted to draw your attention to the special issue "Exploring the methodological choices, challenges and solutions in working with new data sources" in the journal methods data analyses (mda). Guest editors are Trent D. Buskirk (Bowling Green State University) and Rachel Gibson (University of Manchester). Link to mda call for papers (see also below): https://mda.gesis.org/index.php/mda/announcement/view/7 Best regards Jan *CALL FOR PAPERS* With new data come new opportunities and challenges. In this Special Issue of methods, data, analyses (mda) we will explore and promote scholarly reflection and transparency on emerging best practices in the collection, processing, analysis and sharing of new data sources within the research community. This topic is of growing importance to quantitative and computational social science researchers given that social media and digital trace data, as well as data collected from sensors, are now widely used in many areas of inquiry. Currently there is a growing body of research that documents the exploration, evaluation and use of these new data types with some researchers noting how social media and digital trace data, for example, have properties that deviate from the ‘norm’, both in regard to their basic format, underlying (lack of) structure, and representativeness. However, the current state of the research offers little in the way of emerging best practices. In particular, how are social scientists leveraging their methodological skills and techniques to overcome some of the inherent challenges being faced when working with these new data sources? Even more fundamental are the challenges researchers face after data collection and analysis begins. Given both the merits and these known and unknown problems in the collection and analysis of many types of new and emerging data sources there is now an increasing need for researchers to openly confront and interrogate the assumptions and processes followed in working with them. This special issue will explicitly address these challenges and thus help to build the growing trend towards an ‘open research’ culture by making the decision-making around working with emerging data sources, such as social media and digital trace data, more transparent. Specifically, we seek to publish papers that use new forms of data, methods and analyses but that also include an appendix in which the authors provide a peer edited, public commentary on the process followed to achieve their end results. The goal will be to both publish high quality research but also to show how research practices were adjusted and revised to accommodate challenges and unexpected problems presented in working to access, process and analyze these new types of data over the course of the research process. The peer edited appendices will help readers better understand the methodological pathway and course of decision-making involved in implementing a research design that is reliant on one or many new or emerging data sources. We think of these peer edited reflections as a lens into steps researchers needed to take between methods they originally planned to deploy and those they ended up using in their final approach in part due to unforeseen issues or obstacles when dealing with new data sources and access platforms. We welcome papers on range of topics that address new or existing substantive social science questions or debates using new forms of data, particularly data generated as digital traces or via social media platforms. Given the interests of mda, we especially invite authors to submit articles extending the profession's knowledge on the opportunities and problems involved in linking social media, digital trace or sensor data, for example, to other types of data such as that generated through surveys, as well as administrative data, such as census or electoral roll information. While we impose no restrictions on topics investigated or the methods used for collecting and analyzing the data, a key requirement is that authors generate and append a reflective statement to their paper setting out the choices, challenges they encountered when working with these emergent data sources as well as a discussion of the solutions they deployed to move the analysis and study forward. More details of what is required can be found in the template for supplementary peer review material attached to this call for papers. Some examples of types of papers likely generate high impact reflective statements, i.e. that would form a valuable practical guide for other researchers in the field, are detailed below. - Empirical research that employs mixed methods of data collection e.g. mixed-mode designs that link new data with traditional survey approaches. - Papers that use new data collection or access techniques such as purpose-built apps suitable for mobile devices or using social media platforms for recruitment. - Papers that access and analyze new forms of data on sensitive topics. - Papers that combine new data sources with survey data to compare quality or improve overall understanding of outcomes of interest. - Research that uses new types of data to enhance survey research designs or analyses. - Research that explores the use of multiple new data types for generating estimates of outcomes of interest Ultimately, we envisage a collection of papers that form a ‘must read’ for those seeking to conduct a project that uses any type of social media or digital trace data. The reflective statement is designed to encourage authors to openly discuss the problems and critical decisions they faced when working with and generating meaningful findings from new forms of ‘big’ data. The volume itself, and the approach of ‘reflexive praxis’ that it promotes we envisage as offering a new approach to knowledge production and sharing and a significant advance toward embedding the values of open research within the scientific community. *Submission procedure and timeline* If you are interested in submitting an article to the mda special issue on “ Exploring the Methodological Choices, Challenges and Solutions in working with New Data Sources ”, please send an extended abstract documenting the main research questions, design of the study, and proposed analyses (500 - 1000 words) to before May19, 2023. The abstracts will be evaluated by the guest editors. For the selected abstracts, authors will be invited to contribute full papers that will be subjected to peer-review. Authors of all accepted manuscripts will be required to submit a reflective methodological statement (maximum 500-750 words) that will be reviewed by the editors and published online as an appendix. Guidelines for manuscript preparation and the appendix material can be found in the information for authors: http://mda.gesis.org/index.php/mda/about/submissions#authorGuidelines. Papers should be submitted online via Open Journal Systems (https://mda.gesis.org/index.php/mda). Full papers are due by October 2, 2023. Accepted papers will be published Online First. The special issue will appear in early fall, 2024. - The detailed time schedule is as follows: - Call for Papers: March 2023 - Deadline for the submission of extended abstracts (500–1,000 words): May 19th 2023 - Decision on the abstracts: w/c June 19th 2023 - Deadline for submission of the full papers: October 2nd, 2023 - Decision on the full papers: December 31st, 2023 - Deadline for the submission of revised manuscripts: March 2024 - Final decision: April 2024 - Layout/Online first publication: May-August 2024 - Publication of the Special Issue: September 2024

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WG: Ausschreibung Projektförderung Forschungsdatenmanagement (FDM) gestartet
by Wolf, Christof 21 Mar '23

21 Mar '23

Sorry for cross-posting! und viele Grüße, Christof Von: Schlücker, Friederike <friederike.schluecker(a)lifbi.de> Gesendet: Dienstag, 21. März 2023 11:50 An: nfdi-all(a)lists.nfdi.de Cc: Aßmann, Christian <christian.assmann(a)lifbi.de> Betreff: [NFDI-all] Ausschreibung Projektförderung Forschungsdatenmanagement (FDM) gestartet ***English version below*** Sehr geehrte Damen und Herren, liebe Kolleginnen und Kollegen, Sie besitzen Forschungsdaten oder kennen Personen, die Daten erhoben haben? KonsortSWD<https://www.konsortswd.de/konsortswd/> vergibt zum zweiten Mal Fördergelder um Ihre Daten gemeinsam mit einem Forschungsdatenzentrum aufzubereiten und der wissenschaftlichen Community zur Sekundärnutzung zur Verfügung zu stellen. Den Ausschreibungstext finden Sie im Anhang, bewerben Sie sich jetzt! * Bewerbungsende: 30. September 2023 * Bekanntgabe Förderung: Ende Juni 2024 * Frühster Förderbeginn: 1. Oktober 2024 Die Projektförderung unterstützt die Aufbereitung und Bereitstellung relevanter neuer qualitativer und quantitativer Datenkorpora, die der wissenschaftlichen Gemeinschaft noch nicht zugänglich sind. Auch die Anreicherung bestehender Datenkorpora mittels Verknüpfung zu weiteren Datenquellen kann gefördert werden, wenn dadurch das Analysepotential von Datenquellen deutlich gesteigert wird. Info und Call: https://www.konsortswd.de/konsortswd/das-konsortium/services/fdm-projektfoe… Wir würden uns sehr freuen, wenn Sie den Ausschreibungstext in Ihrer Institution und an Personen weiterleiten, die Forschungsdaten erhoben haben. #Datenschatz heben! *** Dear Sir or Madam, dear colleagues, Do you own research data or know people who have collected data? For a second time, KonsortSWD<https://www.konsortswd.de/en/konsortswd/> awards funding to collaborate with a research data center to prepare your data and make it available to the scientific community for secondary use. Please find attached the call for applications, you can apply now! * Application deadline: September 30th, 2023 * Announcement of funding: end of June 2024 * Earliest start of funding: October 1st, 2024 Project funding supports the preparation and provision of relevant new qualitative and quantitative data corpora that are not yet available to the scientific community. The enrichment of existing data corpora by means of linking to additional data sources can also be funded if this significantly increases the analytical potential of data sources. Info and call: https://www.konsortswd.de/en/konsortswd/the-consortium/services/rdm-grants/ We would be very pleased if you would forward the call in your institution and to people who have collected research data. *** Viele Grüße Christian Aßmann und Friederike Schlücker ‐‐‐ Friederike Schlücker Koordinatorin Task Area 2 KonsortSWD www.KonsortSWD.de<http://www.konsortswd.de/> Telefon: +49 951 863-3436 Fax: +49 951 863-3411 E-Mail: friederike.schluecker(a)lifbi.de<mailto:friederike.schluecker@lifbi.de> LIfBi – Leibniz-Institut für Bildungsverläufe e.V. Leibniz Institute for Educational Trajectories Wilhelmsplatz 3 96047 Bamberg Germany www.lifbi.de<http://www.lifbi.de/> [cid:image001.jpg@01D95BEB.50BAEC90]<https://www.konsortswd.de/kswd/9kswd/> [LIfBi Logo_Signatur_NEU]<http://www.lifbi.de/> [cid:image003.png@01D95BEB.50BAEC90]<http://www.konsortswd.de/>

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Methoden