Methoden December 2021

methoden@mailman.uni-konstanz.de

9 participants
11 discussions

Post-doc CSS/ mobility networks at U Bremen- Excellence chair project on "large scale data and field reserach" w Mario Small
by Betina Hollstein 23 Dec '21

23 Dec '21

Liebe Kolleginnen und Kollegen, hier eine Ausschreibung im Rahmen des Projekts *Large-Scale Data and Field Research in the Study of Social Networks, *das Mario Small (Harvard/ Columbia) an der Universität Bremen durchführt. Wir freuen uns über qualifizierte Bewerbungen bis zum 23. Januar 2022. Friedvolle und erholsame Feiertage und ein gutes neues Jahr! Betina Hollstein The University of Bremen, U Bremen Excellence Chair Prof. Mario L. Small PhD/ Research Group *"Large-Scale Data and Field Research in the Study of Social Networks" *at the SOCIUM – Research Center on Inequality and Social Policy, invites applications for the following position Post-Doctoral Researcher (f/m/d) in computational social sciences German pay-scale EG 13 TV-L, full time/ two years, start of contract: April 1, 2022, end of contract March, 31, 2024. The University of Bremen, a mid-sized university with 320 professors, 19.500 students and a full-spectrum of academic disciplines is one of Europe’s leading research universities and maintains close cooperation with international universities and non-university research institutions in the region. The promotion of young researchers is a core element of Bremen's research strategy. The 'U Bremen Excellence Chairs' program is a new initiative at University of Bremen since 2019. It enables internationally outstanding researchers to establish their own working groups at the university and to integrate them into a network of excellent research institutions worldwide in their respective disciplines. Mario L. Small's research group will study “*Large-Scale Data and Field Research in the Study of Social Networks*.” One major promise of “big data” was the ability to understand how social networks emerge, operate, and shape human behavior on a much larger scale than previously possible. However, as wide-eyed enthusiasm has given way to sober analysis, researchers and the public have become increasingly aware of the limitations of such data. This project will examine the extent to which field-based research (interview and survey research) can help address the limits of computationally intensive analysis of large-scale, human mobility-based networks. Focusing on problems such as boundary specification, locality of interaction, algorithmic confounding, and misinterpretation of meaning, we will examine the extent to which bringing field research to bear on the analysis of large-scale mobility data can help improve our understanding of the relationship between mobility-based networks and social inequality. The postdoctoral researcher will help design, execute, and write the results of research human mobility and socio-economic inequalities. Requirements: ·expertise in human mobility or urban sociology and the management of geocoded datasets, either expertise or demonstrated familiarity with research in social networks, and a completed Ph.D. degree in either (urban) sociology, human geography, or a related social science. ·demonstrated evidence of initiative, independence, drive, efficiency, productivity, the ability to work in groups, and a commitment to high quality social science research. ·high level of proficiency in English (including demonstrated academic writing skills), proficiency in German is welcome, but not required. ·experience with working in international projects, organizing academic events, and developing project proposals, preferably shown through employment, fellowship, or extended research stay at an international research institution within the past five years, is preferred but not required. ·strong interest in developing connections with other researchers; experience gained at other national/ international research institutions is welcome. Salary and benefits are linked to the German employee scale TVL13 (100%). International candidates are highly encouraged to apply. The review process will begin on January 24, 2022. Applications and inquiries should be sent electronically as pdf-attachment by January 23, 2022 with the *reference number* 316/21 to socium-bewerbungen(a)uni-bremen.de <mailto:socium-bewerbungen@uni-bremen.de> Applications will be reviewed until the position is filled. Please note that the application should be submitted in English and that we can only accept it if it includes all required documents as a single PDF file: CV (with publication record), academic certificates, a sample chapter of your PhD thesis or other written paper, and a cover letter describing your background, interests, and motivation for applying. The application letter should also contain information about the data set(s) you have worked with. The University of Bremen has received a number of awards for its gender and diversity policies and is particularly aiming to increase the number of female researchers. Applications from female candidates, international applications and applications of academics with a migration background are explicitly welcome. Disabled persons with the same professional and personal qualifications will be given preference. For further information please contact Prof. Mario L. Small, PhD (mario_small(a)harvard.edu <mailto:mario_small@harvard.edu>) or Prof. Dr. Betina Hollstein (betina.hollstein(a)uni-bremen.de <mailto:betina.hollstein@uni-bremen.de>).

1 0

WG: DAGStat Bulletin Nr. 28
by Leitgöb, Heinz 23 Dec '21

23 Dec '21

Liebe Kolleginnen und Kollegen, unterhalb finden Sie den Link zum aktuellen DAGStat-Bulletin, der auch einen Bericht unseres Sektionsmitglieds Daniel Seddig enthält (Projektvorstellung: Impfbereitschaft in der COVID19-Pandemie). Im Namen des gesamten Vorstandes der Methodensektion darf ich Ihnen schöne erholsame Feiertage sowie einen guten Rutsch ins neue Jahr wünschen. Beste Grüße Heinz Leitgöb -------------------------------------------------------------------------------------------------------------------------------------- Sehr geehrte Damen und Herren, das aktuelle DAGStat-Bulletin steht zum Herunterladen unter https://www.dagstat.de/aktivitaeten/dagstat-bulletins bereit. Lesen Sie die letzten Neuigkeiten aus den Gesellschaften der Deutschen Arbeitsgemeinschaft Statistik. Wir wünschen viel Vergnügen beim Lesen, ein frohes, erholsames Weihnachtsfest und ein gesundes neues Jahr. Mit freundlichen Grüßen Tim Friede (Vorsitzender der DAGStat)

1 0

2 PostDoc-Stellen im Bereich digitale Verhaltensdaten in Umfragen (GESIS Mannheim) / Bewerbungsschluss 9.1.22
by Roßmann, Joss 22 Dec '21

22 Dec '21

Sehr geehrte Kolleginnen und Kollegen, GESIS richtet sich strategisch neu aus und wächst: Digitale Verhaltensdaten (DVD) werden zukünftig ein weiterer Schwerpunkt unserer Aktivitäten sein. Für den Standort Mannheim in der Abteilung Data and Research on Society in den Teams Social Surveys und National Election Studies suchen wir je eine*n Wissenschaftliche*n Mitarbeiter*in (PostDoc) im Bereich digitale Verhaltensdaten in Umfragen (Entgeltgruppe 13 TV-L, 100% Arbeitszeit, befristet auf 4 Jahre). Bewerbungsschluss ist der 9. Januar 2022: https://www.hidden-professionals.de/HPv3.Jobs/gesis/stellenangebot/22949/Wi… Für weitere Informationen zu den Aufgabengebieten können Sie sich per E-Mail an Dr. Manuela Blumenberg<mailto:manuela.blumenberg@gesis.org> (Team National Election Studies) oder Oshrat Hochman, PhD<mailto:oshrat.hochman@gesis.org> (Team Social Surveys) wenden. Wir freuen uns über Bewerbungen oder die Weiterleitung der Stellenausschreibung an geeignete Kandidatinnen und Kandidaten. Viele Grüße aus Mannheim Joss Roßmann ----------------------------------------- Dr. Joss Roßmann Team National Election Studies German Longitudinal Election Study GESIS - Leibniz Institute for the Social Sciences B6, 4-5 | D-68159 Mannheim P.O.Box 12 21 55 | D-68072 Mannheim Phone + 49 (0) 621-1246-417 www.gesis.org<http://www.gesis.org/>

1 0

WG: Mikrozensus Scientific Use File 2018 verfügbar
by Tobias Wolbring 21 Dec '21

21 Dec '21

Liebe Kolleginnen, liebe Kollegen, ab sofort ist der Mikrozensus 2018 als Scientific Use File für unabhängige inländische Forschungseinrichtungen verfügbar. Die Zusatzprogramme umfassen Angaben zur Wohnsituation, zur Anzahl geborener Kinder und zur Datenübertragungsrate. Zudem wurde ein Ad-hoc-Modul zur Vereinbarkeit von Familie und Beruf durchgeführt. Nähere Informationen zu den Daten finden Sie im Mikrodaten-Informationssystem (Missy) von GESIS. - Erster Überblick: https://www.gesis.org/missy/metadata/MZ/2018/ - Jahresspezifische Dokumentation (ReadMe): https://www.gesis.org/missy/files/documents/MZ/readme/readme_suf2018.pdf - Thematische Übersicht: https://www.gesis.org/missy/files/documents/MZ/Thematische_Uebersicht_MZ201… - Datenhandbuch: http://www.gesis.org/missy/files/documents/MZ/DHB_2018.pdf Die Daten können bei den Forschungsdatenzentren der Statistischen Ämter des Bundes und der Länder (siehe https://www.forschungsdatenzentrum.de/de/haushalte/mikrozensus) bestellt werden. Diese Mail darf gerne an Interessierte weitergeleitet werden! Viele Grüße, Tobias Roth GESIS - Leibniz Institut für Sozialwissenschaften German Microdata Lab Postfach 12 21 55 D-68072 Mannheim Tel: +49 (0) 621 1246-263 Fax: +49 (0) 621 1246-100 Email: tobias.roth(a)gesis.org<mailto:tobias.roth@gesis.org> http://www.gesis.org/

1 0

WG: "Demography & Social Inequality" - Promotionsstipendium an der Universität zu Köln
by Tobias Wolbring 20 Dec '21

20 Dec '21

Von: Hank Karsten <hank(a)wiso.uni-koeln.de> Gesendet: Freitag, 17. Dezember 2021 14:46 An: svenja.deutschbein(a)kwi-nrw.de; marcel.raab(a)ifb.uni-bamberg.de; cvogel(a)hs-nb.de; m.boes(a)ish.uni-hannover.de; Wolbring, Tobias <tobias.wolbring(a)fau.de>; newsletter(a)soziale-ungleichheit.de Betreff: "Demography & Social Inequality" - Promotionsstipendium an der Universität zu Köln Liebe Kolleg:innen der DGS & ihrer Sektionen, am Institut für Soziologie & Sozialpsychologie der Universität zu Köln ist ein Promotionsstipendium im Bereich "Demography & Social Inequality" ausgeschrieben: https://cgs.uni-koeln.de/sites/cgs/pdf/application/callsforapplication/Anno… Für eine Verbreitung unserer Ausschreibung über Ihre Websites & Mailinglisten wären wir sehr dankbar! Beste Grüsse & bereits jetzt schöne Feiertage, Karsten Hank. ************************************ Prof. Dr. Karsten Hank Institute of Sociology & Social Psychology University of Cologne Postal address: Albertus-Magnus-Platz, 50923 Cologne, Germany Visitor address: Universitätsstr. 24, Building 101 BT3 - Room 3.320, 50931 Cologne Phone: +49-221-470-1789 Email: hank(a)wiso.uni-koeln.de<mailto:hank@wiso.uni-koeln.de> Web: http://www.iss-wiso.uni-koeln.de/de/institut/personen/h/prof-dr-karsten-han…

2 1

Stellenausschreibungen: PostDoc und PhD Student in Survey Methodology für Forschungsprojekt
by Gummer, Tobias 17 Dec '21

17 Dec '21

Liebe Kolleginnen und Kollegen, ich suche für das Forschungsprojekt "Survey Data Collection and the Covid-19 Pandemic (SDCCP)" noch 1 PostDoc (E13 TV-L, 100%) und 1 PhD Student (E13 TV-L, 75%). Das Projekt wird durch das BMBF gefördert. Beide Positionen sind für die Projektlaufzeit von 36 Monaten befristet. Im Rahmen des Projekts werden wir untersuchen, wie Umfragedaten für die Sozialwissenschaften während der Covid-19-Pandemie erhoben werden. Ziel des Projekts ist zu evaluieren, wie belastbar diese Datengrundlage ist, welchen Einfluss die Covid-19-Pandemie auf die Erhebungspraxis hat und welche Schlüsse sich für zukünftige Datenerhebungen ergeben. Die Stellenausschreibungen finden Sie unter: https://www.hidden-professionals.de/HPv3.Jobs/gesis/stellenangebot/22706/Po… https://www.hidden-professionals.de/HPv3.Jobs/gesis/stellenangebot/22704/Ph… Über die Weiterleitung an geeignete Personen würde ich mich sehr freuen. Bei Rückfragen stehe ich natürlich gerne zur Verfügung. Viele Grüße Tobias Gummer --- PD 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

Call for Papers: 3rd MASS Workshop
by Florian Keusch 16 Dec '21

16 Dec '21

/Call for Papers/ *3rd MASS Workshop Mobile Apps and Sensors in Surveys* *https://massworkshop.org* <https://massworkshop.org/> *Date: *16-17 June 2022 *Location* Utrecht University, the Netherlands The workshop is currently planned as an in-person event. *Organizing committee* Bella Struminskaya, Peter Lugtig (Utrecht University), Florian Keusch (University of Mannheim), Jan K. Höhne (University of Duisburg-Essen) *Context of the workshop* Augmenting survey data with data collected from mobile apps, sensors, and wearables allows researchers to better explore and understand social reality, further develop research methods, and scale laboratory experiments. The number of studies that utilize the features built into smartphones and other wearable devices to study human behavior and interaction has grown in recent years. Passive mobile data collection using sensors allows researchers to collect data at a rate and detail that is not possible with traditional survey methods. However, incorporating sensor measurements to augment or replace survey questions through sensors and apps creates methodological challenges around representativeness, survey design and implementation, measurement, as well as ethical and legal considerations that are yet to be understood. This 2-day workshop is jointly organized by researchers from the department of Methods and Statistics at Utrecht University, the Professorship for Statistics and Methodology at the University of Mannheim, and the Department of Political Science at the University of Duisburg-Essen. The workshop is free of charge for participants, but participants are expected to cover their own travel and lodging costs. The goal of this workshop is to bring together researchers from different disciplines to discuss the current state of their research on the use of mobile apps, sensors, and wearables in survey data collection. The workshop is only open to participants whose abstracts will be accepted for a paper presentation. Two previous MASS workshops were held at the University of Mannheim (2019) and virtually (2021). The program as well as some presentations from these earlier workshops can be found at https://massworkshop.org. For the 3rd 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, sensors, and wearables o Different ways to collect sensor, app, and wearable 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 consent o Methods to invite and communicate with study participants o Study length and study intensity o Legal, ethical, and privacy considerations * Quality of data from mobile apps, sensor, and wearables o Errors of non-representation (self-selection, coverage, and nonparticipation) o Measurement error (prevention, modeling, and correction) o Validity of measurements with mobile apps, sensors, and wearables * Data analysis o Analysis of sensor data o Combining survey data with data from mobile apps, sensors, and wearables We encourage submission of work in progress and are particularly interested in studies that used 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 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 for the workshop to b.struminskaya(a)uu.nl. The abstract should contain a research question, data collection procedures (e.g., a 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. Participation in the workshop is only possible when an abstract is accepted for the workshop. We intend to keep the workshop limited to about 35 participants. We will aim for a representation of diverse topics, methodological approaches, and research groups. *Timeline:* * 28 February 2022: Deadline for abstract submission. * 21 March 2022: Feedback on acceptance will be provided. * 1 June 2022: Deadline for handout submission - all participants will be required to submit a 6-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. * 16 & 17 June 2022: Workshop -- Florian Keusch Professor of Statistics and Methodology (interim) University of Mannheim School of Social Sciences Professorship for Statistics and Methodology | A5, 6 | 68131 Mannheim Germany Phone: +49 (0)621 181-3214 E-mail:f.keusch@uni-mannheim.de

1 0

Ausschreibung 1, 0 Stelle Wiss. Mitarb. im Bereich Methoden/Gesundheitssoziologie/Familiensoziologie (Frist: 26.11.21)
by O. Arránz Becker 15 Dec '21

15 Dec '21

Liebe Kolleginnen und Kollegen, an meiner Professur ist zum 1.1.2022 eine Vollzeitstelle für eine/n wiss. Mitarbeiter/in ausgeschrieben. Erwünscht ist die wissenschaftliche Weiterqualifikation vor oder nach der Promotion. Es wird die Gelegenheit geboten, an den Forschungsaktivitäten der Professur, vorwiegend im Bereich Gesundheits- und Familiensoziologie, aktiv mitzuwirken. Gesucht werden insbesondere Kandidat:innen mit Interesse an Längsschnittanalysemethoden (insbesondere Paneldatenanalysen). Für die Weiterleitung an geeignete Personen danke ich Ihnen. -- Beste Grüße Oliver Arránz Becker _________________________________________ Prof. Dr. O. Arránz Becker Professor of Quantitative Methods in the Social Sciences Martin-Luther University Halle-Wittenberg Institute of Sociology D-06099 Halle (Saale) Germany Visitor address: Geistes- und Sozialwissenschaftliches Zentrum (Steintor-Campus) Emil-Abderhalden-Straße 26-27 (Raum E.54.0) phone: +49 - (0)345 - 55 24260 fax: +49 - (0)345 - 55 27150 e-mail: oliver.arranz-becker(a)soziologie.uni-halle.de _______________________________________________ e-Sprechstunde (nur nach vorheriger Vereinbarung): https://uni-halle.webex.com/meet/oliver.arranz-becker

1 2

Stellenausschreibung an der Universität Graz
by Leitgöb, Heinz 08 Dec '21

08 Dec '21

Liebe Kolleginnen und Kollegen, ich darf Sie im Namen von Markus Hadler auf die nachfolgende Ausschreibung für die Professur of Digital Societies an der Universität Graz (Österreich) aufmerksam machen: https://jobsprof.uni-graz.at/en/job/7284 Beste Grüße Heinz Leitgöb ********************************************** Mag. Dr. Heinz Leitgöb Akad. Rat a. Z. Fachbereich Soziologie Lehrstuhl für Soziologie und empirische Sozialforschung Universität Eichstätt-Ingolstadt Kapuzinergasse 2 85072 Eichstätt Tel.: +49 (0)8421 93 21665 Email. heinz.leitgoeb(a)ku.de<mailto:heinz.leitgoeb@ku.de>

1 0

PhD and Postdoc Positions @ LMU München
by Malte Schierholz 06 Dec '21

06 Dec '21

Dear all, Several PhD and Postdoc positions are available at the chair of Statistics and Data Science in Social Sciences and the Humanities at the Institute for Statistics, LMU München. Are you interested in automated and computer-assisted decision making? In applying Machine Learning to analyze unstructured or non-rectangular data sets, from surveys and from industry? In collecting new (survey) data for digital-era-related research questions that haven’t been asked before? To design software, facilitating research on human beings? How can the social sciences use Big Data in ethical ways, while preserving privacy? Be a leader and help form the AI revolution. Find more information about the available positions at PhD positions: https://www.statistik.uni-muenchen.de/formulare/interne_stellen/211126_stel… Postdoctoral researchers: https://www.statistik.uni-muenchen.de/formulare/interne_stellen/211126_stel… For two of the positions we have more detailed descriptions available Research on social inequality in modern digital societies: https://www.statistik.uni-muenchen.de/formulare/interne_stellen/211126_stel… Research on automated AI-assistants to improve the measurement of occupation: https://www.statistik.uni-muenchen.de/formulare/interne_stellen/211129_stel… Please feel free to contact us to find out how your areas of interest might match with these or other projects we have. Application deadline: Dec 20, 2021.

1 0

2025

2024

2023

2022

2021

2020

2019

2018

2017

2016

2015

2014

2013

2012

2011

2010

2009

2008

2007

2006

2005

2004

Methoden December 2021