Methoden September 2019

methoden@mailman.uni-konstanz.de

7 participants
9 discussions

WG: Terminankündigung der GMDS
by Tobias Wolbring 23 Sep '19

23 Sep '19

[http://gmds.de/fileadmin/user_upload/allgemein/gmds-newsletter-header.png] Sehr geehrte Damen und Herren, wir laden Sie herzlich zum Parlamentarischen Abend der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie (GMDS) e.V. ein: „Pflichtimpfung: Top oder Flop? - im Fokus von Evaluation und Digitalisierung“ Dienstag, 15. Oktober 2019, um 18:30 bis 20:30 Uhr, Hörsaalruine, Berlin Im Rahmen von Kurzvorträgen und einer Podiumsdiskussion werden Expertinnen und Experten aus sehr unterschiedlichen Perspektiven die folgenden Fragen aufgreifen: Lohnt sich der Eingriff in die Selbstbestimmung des Bürgers? Was geschieht mit den Daten? Digital ja- aber was ist mit Europa? Vor diesem Hintergrund soll der am 17. Juli 2019 vom Kabinett verabschiedete Gesetzentwurf für den Schutz vor Masern und zur Stärkung der Impfprävention noch einmal auf den Prüfstand, um unerwünschte Nebenwirkungen zu vermeiden und um die Bürgerinnen und Bürger über die Vor-und Nachteile wissenschaftlich fundiert zu informieren. Programm (vorläufig) 17:30 Uhr Einlass Begrüßungsdrink und Imbiss 18:30 Uhr Begrüßung und Moderation Prof. Dr. Karl-Heinz Jöckel, Universitätsklinikum Essen 18:35 Uhr Einführung Prof. Dr. Alfred Winter, Universität Leipzig 18:45 Uhr Impulse aus der Epidemiologie Prof. Dr. Andreas Stang, MPH, Universitätsklinikum Essen 18:55 Uhr Impulse aus der Biometrie Prof. Dr. Harald Binder, Universitätsklinikum Freiburg 19:05 Uhr Impulse aus der Medizinischen Informatik Prof. Dr. Sylvia Thun, Charité Berlin 19:15 Uhr Impulse - Virologie Prof. Dr. Christian Drosten, Institutsdirektor Charité, Berlin (angefragt) 19:30 Uhr Podiumsdiskussion 20:30 Uhr Ausklang - Diskussion und Bewirtung 21:00 Uhr Ende der Veranstaltung Gäste: Sabine Dittmar, MdB, Gesundheitspolitische Sprecherin der SPD (unter Vorbehalt) Prof. Dr. Lothar H. Wieler, Robert Koch-Institut, Berlin u.v.m. Weitere Informationen und Anmeldung<https://gmds.de/newsletter/2017/parlamentarischer-abend-pflichtimpfung-top-…> Zum Video<https://gmds.de/newsletter/2017/parlamentarischer-abend-pflichtimpfung-top-…> Mit freundlichen Grüßen Beatrix Behrendt Dipl.-Volkswirtin - Geschäftsstelle GMDS e.V. – IMPRESSUM Deutsche Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie (GMDS) e.V. Industriestraße 154 D-50996 Köln Tel.: +49(0)2236-3319958 Fax: +49(0)2236-3319959 E-Mail: info(a)gmds.de<https://gmds.de/newsletter/2017/parlamentarischer-abend-pflichtimpfung-top-…> Vereinsregister: VR 16225 Amtsgericht Köln Umsatzsteuer-Identifikationsnummer: DE 182645846 Vom Newsletterempfang abmelden Klicken Sie bitte auf den folgenden Link und loggen Sie sich mit Ihren GMDS Intranet Zugangsdaten ein. Im Intranetbereich finden Sie auf der rechten Seite ein Menü mit dem Punkt "Newsletter-An-/Abmeldung". Stellen Sie dort Newsletter-Empfang auf nein und speichern Sie Ihre Einstellungen. www.gmds.de <https://gmds.de/newsletter/2017/parlamentarischer-abend-pflichtimpfung-top-…> Online-Zeitschrift MIBE: Diese wissenschaftliche Zeitschrift veröffentlicht theoretische und anwendungsbezogene Arbeiten aus dem Gesamtgebiet der Medizinischen Informatik, Biometrie und Epidemiologie, d.h. sowohl Beiträge über neu entwickelte Methoden als auch neue Anwendungsmöglichkeiten bereits bekannter Methoden. Dem tutoriellen Aspekt wird durch Übersichtsartikel Rechnung getragen. https://gmds.de/publikationen/online-zeitschriften/<https://gmds.de/newsletter/2017/parlamentarischer-abend-pflichtimpfung-top-…> Online-Zeitschrift "Methods of Information in Medicine Den Online-Zugang der persönlichen Mitglieder der GMDS auf die wissenschaftlichen Inhalte der Zeitschrift "Methods of Information in Medicine" finden Sie im Intranet unter Publikationen. Online Version ansehen<https://gmds.de/newsletter/2017/parlamentarischer-abend-pflichtimpfung-top-…> [https://gmds.de/newsletter/2017/parlamentarischer-abend-pflichtimpfung-top-…]

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Stellenausschreibung Projektmitarbeiter/in CILS4EU-DE (MZES)
by Project CILS4EU 20 Sep '19

20 Sep '19

Liebe Kolleginnen und Kollegen, das Projekt CILS4EU-DE des Mannheimer Zentrums für Europäische Sozialforschung (MZES) sucht ab dem 1. Januar 2020 eine Projektmitarbeiterin oder einen Projektmitarbeiter (Bewerbungsschluss ist der 15. Oktober 2019). Die Ausschreibung finden Sie angehängt oder unter https://www.mzes.uni-mannheim.de/d7/de/news/items/projektmitarbeiterin-cils… Wir freuen uns über Bewerbungen. Viele Grüße das CILS4EU-DE Team -- Children of Immigrants Longitudinal Survey in Four European Countries (CILS4EU) University of Mannheim, MZES 68131 Mannheim Germany

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Call for submissions to special issue of Survey Methods: Insights from the Field on "Advancements in Online and Mobile Survey Methods"
by Florian Keusch 13 Sep '19

13 Sep '19

Dear colleagues, We invite you to submit your work to the forthcoming special issue of Survey Methods: Insights from the Field on "Advancements in Online and Mobile Survey Methods." Please find the call for papers below. Best regards Bella Struminskaya and Florian Keusch Guest editors ******************************************************* Call for submissions for a special issue on “Advancements in Online and Mobile Survey Methods” in Survey Methods: Insights from the Field (https://surveyinsights.org/) sponsored by German Society for Online Research (DGOF) Guest editors: Bella Struminskaya (Utrecht University and DGOF) & Florian Keusch (University of Mannheim and DGOF) Over the past 15 years online and mobile surveys have evolved into an established data collection method in academic and applied social sciences and market research. Recent technological advancements further drive innovation and enable new measurement capabilities that potentially allow new and deeper insights into human interactions, attitudes, and behaviors. The aim of this special issue is to disseminate knowledge about the current state of online and mobile survey methods, focusing on the components of the Total Survey Error framework for cross-sectional and panel surveys as well as augmenting survey data with other data types. This special issue invites research articles of about 4,000 words. Topics on the advancement of the methodology of online and mobile surveys include, but are not limited to: * Coverage, sampling, nonresponse, measurement, adjustment, and weighting in online and mobile web surveys * Online panel quality and panel research * Survey design and survey gamification * Comparing online and mobile web surveys to traditional approaches (face to face, telephone, paper) * Use of paradata and passive measurement, including but not limited to, the research on consent and privacy * Combining self-reports from online and mobile surveys with data from other sources (e.g., passive mobile data collection through apps and sensors, social media data, administrative records) * Emergent forms of data collection, including chat-bots and survey messengers, voice recordings, photo and video upload, and others Submissions to the special issue are welcome until 15 January 2020. Upon submission manuscripts will be peer-reviewed in accordance with standard journal practice and will be published online soon after acceptance. Timeline: January 15, 2020: Manuscript submission April 30, 2020: Feedback from the reviewers and editors June 30, 2020: Revisions due July 30, 2020: Final feedback from the editors September 15, 2020: Final draft due October/November, 2020: Publication of the special issue Electronic copies of the manuscripts should be uploaded at https://surveyinsights.org following the guidelines of the Survey Methods: Insights from the Field (https://surveyinsights.org/?page_id=531). You may want to use the template of the Survey Methods: Insights from the Field (https://surveyinsights.org/wp-content/uploads/2012/10/SMIF-artticle-templat…). To ensure consideration in the special issue, please check the category box "Advancements in Online and Mobile Survey Methods" on the right-hand column when creating a new article on the journal platform. Queries about this special issue should be directed to Bella Struminskaya at b.struminskaya(a)uu.nl. General Online Research Conference GOR 2020 The authors submitting to this special issue are invited to submit their work to the GOR 2020 conference (paper abstracts due 15 November 2019; poster abstracts due 24 January 2020): https://www.gor.de/about/call-for-papers.html -- Florian Keusch Professor of Statistics and Methodology (interim) University of Mannheim A5, 6 Room B218, 2nd floor 68159 Mannheim, Germany +49 (0)621 - 181 3214 f.keusch(a)uni-mannheim.de floriankeusch.weebly.com

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CFA "How networks matter. Network mechanisms and effects" - Workshop in Bremen, Feb 6-7, 2020
by Betina Hollstein 12 Sep '19

12 Sep '19

Liebe Kolleginnen und Kollegen, attached der CfA für die (englischsprachige) Frühjahrstagung der Sektion Netzwerkforschung der DGS, die im Februar in Bremen stattfindet. Als Keynote konnten wir Mario L. Small (Harvard) gewinnen. Bewerbungsfrist (abstract) ist der 15. November. Wir hoffen auf eine anregende Tagung und würden uns freuen Sie in Bremen zu sehen. Herzliche Grüße, Betina Hollstein und Raphael Heiberger Spring Conference of the Section on Social Network Analysis of the German Sociological Association (DGS /GSA), February 6 and 7, 2020, University of Bremen, Germany How networks matter. Theoretical, methodological and empirical advances on network mechanisms and effects "The hallmark of network analysis," as stated by Edward O. Laumann, "is to explain, at least in part, the behavior of network elements … by appeal to specific features of the interconnections among the elements" (1979, p. 349). Ever since numerous studies have provided evidence for the impact of social networks on individual and collective action. Prominent network studies link the structure of relationships to attitudes and behavior of actors, such as the effect of social networks on academic prestige, economic success, diffusion of ideas, business innovation, finding employment, participation in social movements or family formation. Networks can affect behavior through social capital or social support or by means of social influence. Social influence can take various forms, such as contagion through actual personal contact or diffusion through structural equivalence (Burt 1987, Valente 2010). Channels of social influence can be social learning, social pressure, subjective obligation (Bernardi 2004, Keim et al. 2009) or different ways of brokerage and structurally connecting actors (Gould/Fernandez 1994, Passy 2004, Burt 2007, Obstfeld et al. 2013). Social capital and social support, too, can take different forms and work through different mechanisms, such as direct or buffering effects of social support, feedback processes, the invisible hand of social capital (Lin/Ao 2008) or unanticipated gains of social relationships (Small 2009). Influence can work through strong relationships, as family or friendship ties, but also via weak, hierarchical or competitive ties (Granovetter 1973, Burt 1987, Marsden/Friedkin 1993, Small 2009, Lin/Erickson 2010). Social Network Analysis comprises a multitude of data and methods to investigate network effects. Today’s increased technical possibilities, rapid methodological advancements and the growing availability of longitudinal and big data allow researchers to study networks on different scales by using various methods stemming from social research, computational and natural sciences. Besides, small-scale qualitative studies provide rich data on the practices and perceptions of individual actors, and contexts of social action. Nevertheless, there are still a lot of open questions with regard to the processes and mechanisms of how social networks matter and the conditions and contexts of networks effects. For instance, theoretical challenges are the modeling of the source and nature of social influence and network effects, and distinguishing between effects of media, the social environment and specific influencing individuals (Kadushin 2012). Still, a basic question is how interactional networks contribute to constructing reference groups as important aspects of social comparisons and social influence (Marsden/Friedkin 1993). Methodological challenges concern establishing causality and disentangling of influence and selection processes, among others. At the conference we will discuss theoretical, methodological and empirical challenges and advances in the study of network processes, mechanisms and effects. Especially, we would like to create the opportunity for exchange and dialogue between different, and often disconnected, theoretical perspectives and methodological approaches to research on social networks. We invite papers contributing to the following topics: ● Theoretical concepts and models of the ways social networks affect individual and collective action; ● Methodological considerations and methodical advances on how to investigate social influence, network mechanisms and network effects, such as the smart combining of methods (multi-methods, mixed methods); ● Ways of treating the promises and problems arising from causality and the concurrency of influence and selection processes; ● Empirical studies on network effects and mechanisms in various areas of network research, such as personal networks, organizational networks, or social movements. Keynote: Mario L. Small (Harvard University) When and Where: ● February 6 & 7, 2020 ● University of Bremen, Germany Important dates: ● Sound abstract (max. 2 page) submission deadline: November 15, 2019 ● Notification of acceptance: December 1, 2019 Please submit your abstract to <mailto:raphael.heiberger@uni-stuttgart.de> raphael.heiberger(a)uni-stuttgart.de and <mailto:betina.hollstein@uni-bremen.de> betina.hollstein(a)uni-bremen.de Organizers: Raphael H. Heiberger (U Stuttgart), Betina Hollstein (U Bremen /SOCIUM) Prof. Dr. Betina Hollstein University of Bremen SOCIUM - Research Center on Inequality and Social Policy, Head Mary-Somerville-Str. 9, R. 9.3090 D - 28359 Bremen tel +49 (0)421-218-58512 / 218-58638 (secr. Ms. Neumann) e-mail: betina.hollstein(a)uni-bremen.de <mailto:betina.hollstein@uni-bremen.de> http://www.socium.uni-bremen.de/about-the-socium/members/betina-hollstein/e… <https://urldefense.proofpoint.com/v2/url?u=http-3A__www.socium.uni-2Dbremen…> ? QUALISERVICE– Research Data Center for Qualitative Social Science Research Data, Head https://www.qualiservice.org/de/ <https://urldefense.proofpoint.com/v2/url?u=https-3A__www.qualiservice.org_d…> - relaunch! Newly published: <https://urldefense.proofpoint.com/v2/url?u=https-3A__www.socium.uni-2Dbreme…> What autobiographical narratives tell us about the life course. Contributions of qualitative sequential analytical methods, in: Advances in Life Course Research, online-first (18.12.2018), <https://urldefense.proofpoint.com/v2/url?u=http-3A__dx.doi.org_10.1016_j.al…> doi:10.1016/j.alcr.2018.10.001 SOZIOLOGISCHE REVUE - Heft 3, 2019 <https://urldefense.proofpoint.com/v2/url?u=https-3A__www.degruyter.com_view…> https://www.degruyter.com/view/j/srsr.2019.42.issue-2/issue-files/srsr.2019…

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Call for Papers: POQ special issue "New Data in Social and Behavioral Research"
by Florian Keusch 09 Sep '19

09 Sep '19

Public Opinion Quarterly Special Issue Call for Papers: New Data in Social and Behavioral Research Deadline: February 1, 2020 Guest editors Frederick G. Conrad, University of Michigan, Editor Florian Keusch, University of Mannheim, Associate Editor Michael F. Schober, The New School, Associate Editor Public Opinion Quarterly seeks submissions for a special issue of the journal devoted to new types of data that might be used to conduct social or behavioral research either in conjunction with surveys, in place of surveys, or to address questions that cannot be addressed by surveys. Examples of these new data include social media posts, search strings, online prices, and sensor data such as location, activity, and sound. As such examples illustrate, these new data potentially can be used in social or behavioral research after having been repurposed, e.g., when researchers analyze search strings as a window onto public opinion even though the users who created these strings did so for entirely different reasons. Other times, these data are collected directly for their intended purpose (Taylor 2013), e.g., when smartphone owners are recruited into a study so that researchers may capture their mobility using the sensors built into their devices. Regardless of the origin of these new data, they are markedly different from survey data. In stark contrast to survey responses that are produced by asking carefully crafted questions, these new data are not elicited by the researchers who later analyze them. In contrast to designed survey data, the structure of these new data is often not known ahead of time. Instead, these data are “organic” (Groves 2011), i.e., continuously generated byproducts of everyday processes. And, compared to survey data sets, these new data are massive and generally far less expensive to create. Much has been written and spoken about the promise of these new data for conducting social and behavioral research (e.g., the AAPOR Big Data task-force report; Japec et al. 2015). The contributions published in the special issue will help assess how well this promise has been realized so far and will help sharpen predictions of future success using these alternative data. Potential topics for submissions include, but are certainly not limited to: * The integration of social media content with survey data * The use of call records and other mobile network operating data to study behavior * Analysis of administrative records to reduce survey costs and burden on respondents * Issues of ethics and privacy when using these new data * Measurement error in new data sources * The feasibility of tracking public opinion via Internet search terms and browsing behavior * Comparison of estimates from self-reports and data collected passively with sensors Submissions can be methodological in orientation or can be substantive applications that demonstrate the usefulness and assess the validity of these new data sources. The issue is scheduled for publication in early 2021. Submissions of relevant research articles, research syntheses, and research notes are welcome and will be considered through February 1, 2020. Manuscripts should be uploaded at http://mc.manuscriptcentral.com/poq, following the manuscript preparation instructions provided on the journal’s website. To ensure consideration in the special issue, authors must include a cover letter that clearly states that the manuscript has been submitted for consideration for the 2021 “New Data special issue.” Submissions will be peer-reviewed in accord with standard journal practice. Queries about this special issue should be directed to Frederick Conrad (fconrad(a)umich.edu) using the subject line “2021 New Data Special Issue.” References Groves, Robert M. 2011. “Three Eras of Survey Research.” Public Opinion Quarterly 75:861-71. Japec, Lilli, Frauke Kreuter, Marcus Berg, Paul Biemer, Paul Decker, Cliff Lampe, Julia Lane, Cathy O’Neil, and Abe Usher. 2015. “Big Data in Survey Research: AAPOR Task Force Report.” Public Opinion Quarterly 79:839-80. Taylor, Sean J. 2013. “Real Scientists Make Their Own Data.” Available at http://seanjtaylor.com/post/41463778912/real-scientists-make-their-own-data. -- Florian Keusch Professor of Statistics and Methodology (interim) University of Mannheim A5, 6 Room B218, 2nd floor 68159 Mannheim, Germany +49 (0)621 - 181 3214 f.keusch(a)uni-mannheim.de floriankeusch.weebly.com

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Stellenausschreibungen E13 (100%), BIBB
by Mergener, Dr. Alexandra 05 Sep '19

05 Sep '19

Liebe Kolleginnen und Kollegen, ich möchte Sie gerne auf die folgende Stellenausschreibung im Bundesinstitut für Berufsbildung (BIBB) in Bonn aufmerksam machen. Wir haben mehrere Wissenschaftliche Mitarbeiter/innen-Stellen (E13, 100 %) in einem BMBF-geförderten Drittmittelprojekt zum Thema „Polarisierung 4.0 – Technologische Entwicklungen, Arbeitsmarkt, Fachkräfteentwicklung und Fachkräftebedarf“ zu besetzen. Der Ausschreibungstext findet sich hier: https://www.bibb.de/de/28682.php Bewerbungsfrist ist schon der 19.09.2019 Weitere Informationen zum Projektkontext sind hier zu finden: https://www.bibb.de/de/94793.php Wir freuen uns auf aussagekräftigte Bewerbungen und wären dankbar, wenn Sie/ ihr die Ausschreibung auch an geeignete Kandidatinnen und Kandidaten weiterleiten würden/ würdet. Mit bestem Dank und besten Grüßen Alexandra Mergener Dr. Alexandra Mergener ____________________________________________________________ Bundesinstitut für Berufsbildung (BIBB) Wissenschaftliche Mitarbeiterin Arbeitsbereich 1.2 “ Qualifikation, berufliche Integration und Erwerbstätigkeit“ Federal Institute for Vocational Education and Training (BIBB) Research Associate Section 1.2 “Qualifications, Occupational Integration and Employment” Robert‐Schuman‐Platz 3 D‐53175 Bonn Fon: +49 228 107 1414 www.bibb.de<http://www.bibb.de/>

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Reminder: methods, data, analyses: Call for Special Issue
by Jan Karem Höhne 04 Sep '19

04 Sep '19

***Apologies for cross-posting*** Dear colleagues, This is a friendly reminder of the call for a speical issue in the open-access journal "methods, data, analyses (mda)" edited by Melanie Revilla (RECSM-Universitat Pompeu Fabra). *Call for organizing a special issue in the journal "methods, data, analyses (mda)"* mda publishes research on all questions important to quantitative methods, with a special emphasis on survey methodology but also on analyses techniques. mda is released online as open-access journal and presents several advantages for researchers: - All content is freely available and can be distributed without any restrictions, ensuring the free flow of information that is crucial for scientific progress. - There are no publication fees for authors. - The journal is indexed and abstracted in the Emerging Sources Citation Index and covered in Google Scholar. - The journal is also listed in the Directory of Open Access Journals and the Social Science Open Access Repository. mda is currently looking to organize a special issue. Any topics related to the journal’s focus are welcome; i.e. topics related to survey methodology but also analyses techniques, and new data types such as passive data. Recent special issues dealt with the following topics: *Social Desirability Bias in Surveys - Collecting and Analyzing Sensitive Data (Guest Editors: Ben Jann, Ivar Krumpal and Felix Wolter) *Comparative Survey Analysis - Models, Techniques, and Applications (Guest Editors: Bart Meuleman, Eldad Davidov and Daniel Seddig) *Comparative Survey Analysis: Comparability and Equivalence of Measures (Guest Editors: Bart Meuleman, Eldad Davidov and Daniel Seddig) *Data Collection in Panel Surveys (Guest Editors: Josef Brüderl and Mark Trappmann) Submission process: Researchers interested in proposing a special issue should submit the following documents by email to mda(a)gesis.org by September 16, 2019, preferably as a MS Word document or PDF. - Draft “call for papers”: Authors are invited to submit a draft of the call for papers they would use if their special issue proposal is selected. - Information about who would be the guest editors: Names, affiliations, and email addresses of the guest editors, and previous experience in editing or other relevant activities related to being guest editors. The documents will be reviewed by the mda editorial board and by October 18, 2019 the researchers will be informed whether or not their special issue proposal has been selected. The selected guest editors are responsible for the call for papers for the special issue and the assessment of the submissions for their general suitability. Then the papers have to be double-blindly reviewed by at least two reviewers. These reviewers are selected by the guest editors. The decision on publication is made by the guest editors based on the reviews. The guest editors are supported by the editorial software Open Journal System and the Managing Editor of mda. Timeline: - September 16, 2019: Submission of the draft “call for papers” and information about the guest editors. - October 18, 2019: Decision about the topic selected for the special issue. - November 2019: Publication of the call for the special issue. - July 2020: Deadline for submission of papers for the special issue. - Summer and autumn 2020: Revisions and Layout. - January 2021: Publication of the special issue Queries about this special issue can be sent to mda(a)gesis.org For more information about the journal, see: https://mda.gesis.org/index.php/mda Best regards Jan Karem Höhne (Associate Editor) -- Jan Karem Höhne Postdoctoral Researcher University of Mannheim B6, 30-32 (Room: 346) 68131 Mannheim, Germany +49 (0)621/181-3483 hoehne(a)uni-mannheim.de

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Call for abstract submissions for the General Online Research Conference (GOR 20)
by Florian Keusch 04 Sep '19

04 Sep '19

Call for Papers (abstracts): General Online Research 2020 (GOR 20, https://www.gor.de) When: 11 - 13 March 2020 Where: HTW Berlin – University of Applied Sciences, Berlin, Germany Are you working on research on online and mobile web survey methodology, online market research, Big Data and data science, or public opinion research, politics and online communication? Then submit your abstract to GOR, the international conference on online research. Join us in Berlin, Germany’s buzzing capital. Deadlines for abstract submissions: 15 November 2019 (presentations for Tracks A, B, C and GOR Thesis Award 2020 competition), 3 December 2019 (presentations for GOR Best Practice Award 2020 competition) and 23 January 2020 (posters and GOR Poster Award 2020 competition) Submissions at https://www.gor.de/gor20/ Further information at https://www.gor.de/ Long version of the call: https://www.gor.de/about/call-for-papers.html Topics: Online and Mobile Web Surveys, Data Science, Big Data, Smart Data, Political Research, Public Opinion, Political Online Communication, Online Market Research All submissions relevant to online research are welcome. Presentations in the past years covered a broad range of topics, be it online and mobile web surveys or research concerning the Internet or social aspects of the Web, Big Data and data science, and research on politics and communication. Since 1997, GOR has been attended by more than 300 researchers and other professionals each year who want to stay on top of new developments and best practices for their work in business and academia. 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 on the basis of a double-blind peer review process. We look forward to receiving your abstract submission. You can find the complete call for papers and further information at https://www.gor.de/. Florian Keusch on behalf of the programme committee -- Florian Keusch Professor of Statistics and Methodology (interim) University of Mannheim A5, 6 Room B218, 2nd floor 68159 Mannheim, Germany +49 (0)621 - 181 3214 f.keusch(a)uni-mannheim.de floriankeusch.weebly.com

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Stelle für wiss. Mitarbeiter*in in DFG-Projekt zur Integration junger Muslime
by Lars Leszczensky 03 Sep '19

03 Sep '19

Liebe Kolleginnen und Kollegen, unser Projektteam am MZES sucht Verstärkung (wiss. Mitarbeiter*in/Doktorand*in). Wünschenswert sind Kenntnisse in Netzwerkanalyse, experimentellen Verfahren oder Gruppendiskussionen. Hier die Links zur vollständigen Ausschreibung: https://www.mzes.uni-mannheim.de/d7/de/news/items/projektmitarbeiter (deutsch) https://www.mzes.uni-mannheim.de/d7/en/news/items/phd-researcher (englisch) Mit besten Grüßen Lars Leszczensky -- Dr. Lars Leszczensky University of Mannheim Mannheim Centre for European Social Research (MZES) A5,6 D-68159 Mannheim Tel.: +49/(0)621-181- 2832 E-mail: Lars.Leszczensky(a)mzes.uni-mannheim.de https://www.larsleszczensky.com/

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Methoden September 2019