News https://www.gesis.org de_DE GESIS Sun, 16 Jun 2019 14:11:56 +0200 Sun, 16 Jun 2019 14:11:56 +0200 GESIS news-4671 Tue, 04 Jun 2019 14:49:14 +0200 Show me your Twitter profile and I'll tell your age https://www.gesis.org/en/gesis-news/article/show-me-your-twitter-profile-and-ill-tell-your-age/ A new “demographic inference” tool developed by Dr. Fabian Flöck at GESIS together with Researchers at the University of Oxford, University of Michigan, University of Massachusetts, GESIS, the Max Planck Institute, and Stanford University can make predictions based solely on the information in a person’s social media profile (i.e. screen name, biography, profile photo, and name). The tool, unveiled at the Web Conference in San Francisco and awarded with the best poster award, works in 32 languages and could pave the way for views expressed on social media to be factored in to popular survey methods.

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news-4626 Thu, 09 May 2019 17:15:31 +0200 Current issue of newsletter published - gesis report 2/19 is available! https://www.gesis.org/en/gesis-news/article/current-issue-of-newsletter-published-gesis-report-219-is-available/
  • Download of the current issue 2/19
  • The current issue of GESIS' newsletter is now available. It reports on ECIR 2019, Europe's leading scientific conference in information retrieval and introduces two current projects: DominoES and „Knowledge for Tomorrow”. The newsletter also contains notes of new publications and events, and it introduces some new colleagues at GESIS.

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    news-4566 Tue, 09 Apr 2019 10:31:20 +0200 New special issue available: Probability and Nonprobability Sampling https://www.gesis.org/en/gesis-news/article/new-special-issue-available-probability-and-nonprobability-sampling/ Survey Methods: Insights from the Field - Special Issue: Probability and Nonprobability Sampling: Sampling of hard-to-reach survey populations

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    Special issue editors:
    Johann Bacher, University of Linz, Austria
    Johannes Lemcke, Robert Koch Institut (RKI), Germany
    Andreas Quatember, Johannes Kepler University Linz, Austria
    Patrick Schmich, Robert Koch Institut (RKI), Germany

    This special issue gives an overview about the current state of the hard-to-reach research and attempts to combine theoretical discussions, methodological considerations with experiences from the fields. It offers insights into possible links between non-probability sampling and hard-to-reach populations on the one hand, and different approaches to address the aforementioned problems via the praxis of each methodology.

    “Survey Methods: Insights from the Field” is a peer-reviewed online journal. Its goal is to promote professional exchange on practical survey research issues and discussion on new and promising paths in survey research. The journal is orientated towards the daily work of surveying, including questionnaire design, sampling, interviewer training, fieldwork administration, data preparation, documentation and dissemination. The focus of the journal is on practical issues of survey research.

    The journal is edited jointly by FORS, GESIS and PUMA and supported by a multi-national panel of Associate Editors, an Advisory and Editorial Board.

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    news-4478 Wed, 13 Mar 2019 13:42:00 +0100 Open Access publication service SSOAR recertified with DINI certificate 2016 https://www.gesis.org/en/gesis-news/article/open-access-publication-service-ssoar-recertified-with-dini-certificate-2016/ The full-text server Social Science Open Access Repository (SSOAR) operated by GESIS was recertified with the DINI Certificate 2016 at the beginning of 2019, after having previously been awarded the DINI Certificate 2007. The certificate of the Deutsche Initiative für Netzwerkinformationen e.V. (DINI) certifies Open Access publication services and ensures the standardization and quality of open access document servers.

    With more than 50,000 full texts, SSOAR is one of the leading providers of electronic publishing services in the social sciences. The DINI evaluates Open Access repositories and publication services against the backdrop of a constantly evolving catalogue of criteria and would like to improve the publication infrastructure for electronic publishing and strengthen open access-based forms of publication. With the DINI-certified standards, SSOAR data can be found easily and in the long term.

    This confirms that GESIS provides a powerful and trusted server for electronic publications to the social science community.

    Get to the press release

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    GESIS-News Pressemitteilung
    news-4465 Thu, 07 Mar 2019 15:25:40 +0100 The current issue of the gesis report 1/19 is available https://www.gesis.org/en/gesis-news/article/the-current-issue-of-the-gesis-report-119-is-available/ The first issue of 2019 is now available. This time, we report on the first edition of the open-access journal MISS - Measurement Instruments for the Social Sciences.

    Other highlights include an article on the new pricing concept of GESIS Data Services, reports on the first GESIS Data Day in Cologne and the SSHOC - Social Sciences and Humanities Open Cloud, a cloud-based infrastructure for the social sciences and humanities.

    This issue also contains information on events. In addition, we offer an outlook on this year's Methods Seminar and Summer School. Publications and personalia complete this issue as well.

    Download the current issue of gesis report 1/2019

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    news-4417 Mon, 18 Feb 2019 11:40:45 +0100 CEWSjournal No. 117 published https://www.gesis.org/en/gesis-news/article/cewsjournal-no-117-published/ The main topic of this issue is:
    Common resistances or new questions? Attacks on equality work in the university context.
    A guest article by Dr. Doris Hayn and Dr. Daniela Marx, Georg-August-Universität Göttingen

    Get the current issue as pdf-file 

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    news-4412 Thu, 14 Feb 2019 09:56:00 +0100 Rich Context Competition - GESIS team makes it to the finals https://www.gesis.org/en/gesis-news/article/rich-context-competition-gesis-team-makes-it-to-the-finals/ One competition, two rounds – in September last year, the Coleridge Initiative of New York University announced the "Rich Context Competition". Computer scientists from 20 teams and eight countries submitted letters of intent – four of them won against the competition and are now in the final round almost five months later. One of them is the team "Knowledge Technologies for the Social Sciences" at GESIS. We congratulate Wolfgang Otto, Andrea Zielinski, Behnam Ghavimi, Dimitar Dimitrov, Karam Abdulahhad, Narges Tavakolpoursaleh and Katarina Boland on this success. The final presentations of the finalist teams from KAIST, the University of Paderborn, the Allen Institute for Artificial Intelligence (AI2) (Seattle) and GESIS as well as the announcement of the winner will take place on February 15, 2019 via live stream over the Internet.

    The contest initiators could not have chosen a better time to determine the winner of the contest: The worldwide Love Data Week will take place from the 11th to the 15th. One of this year's topics is "Open Data". How important it is to make data accessible to others is also clear against the background of the competition: research data is often difficult to access. Researchers and analysts working with data are often faced with the problem of finding out who has done research on what topics and with what results. As a result, good research results and data remain undiscovered while time and resources are wasted repeating the empirical work. The "Rich Context Competition" would like to counter this problem. "The competition challenged computer scientists to find ways of automating the discovery of research datasets, fields and methods behind social science research publications," said Julia Lane (New York University), one of the jury members.

    The competition is about participants developing and identifying text analysis techniques and machine learning techniques to discover the relationships between data sets, researchers, publications, research methods and areas. Participants will demonstrate their skills to a panel of technical and social science experts: They have developed and further refined algorithms using various data corpses. Evaluation criteria include the accuracy of the techniques used, user-friendliness and novelty. All submitted algorithms will be made publicly accessible in the spirit of open source.

    Further information on the competition

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    news-4405 Mon, 11 Feb 2019 13:44:14 +0100 HSR Vol. 44 (2019) No. 1: Special Issue pubished https://www.gesis.org/en/gesis-news/article/hsr-vol-44-2019-no-1-special-issue-pubished/ Markets, Organizations, and Law - Perspectives of Convention Theory on Economic Practices and Structures (ed. Rainer Diaz-Bone & Olivier Favereau)

    The "economics of conventions" (fr. économie des conventions, short EC) approach developed in France is a new, complex and pragmatic institutionalism that integrates the analysis of markets, organisations and laws. The 14 articles in this HSR Special Issue use and further develop the core concepts of the EC: quality conventions, human action, criticism and justification, the incompleteness and multiplicity of rationalities, state conventions, investments in form or bad conventions. The EC's specifically conceptualized view of law in general, companies, markets and institutions are important topics for the Special Issue.

    The pragmatism of the EC starts from structuralist perspectives and shows a growing interest in the sociological theory of Michel Foucault and his topics power, dispositive and discourse.  One of the aims of this special issue is to present current contributions by protagonists of the second and third generation of the EC from France (most of whom were educated at the University of Paris X - Nanterre). In addition, contributions from scientists from other countries will be presented, thus presenting the EC as an internationally established approach.

    Get the latest issue here

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    news-4398 Thu, 07 Feb 2019 11:01:28 +0100 methods, data, analyses, Vol 13, No 1 (2019) published! https://www.gesis.org/en/gesis-news/article/methods-data-analyses-vol-13-no-1-2019-published/ Social Desirability Bias in Surveys – Collecting and Analyzing Sensitive Data

    Guest Editors: Ben Jann1, Ivar Krumpal2, Felix Wolter3

    1 University of Bern, 2 University of Leipzig, 3 Johannes Gutenberg University Mainz

    Studying social phenomena and social problems often involves measuring and analyzing behaviors or attitudes that are sensitive in several ways. Topics such as delinquency, substance abuse, sexual issues, xenophobia or homophobia may oblige survey respondents to self-report information about very private issues or to report that they have acted against social or legal norms. Hence, survey participants could fear negative consequences of violating social desirability (SD) norms or of a disclosure of their private information to third parties. As cumulative empirical research has shown, this prompts respondents to engage in self-protective behavior when answering sensitive survey questions, namely by providing untruthful and biased answers or by refusing to answer at all. This systematic misreporting or nonresponse leads to biased estimates and poor data quality. At the same time, research about sensitive topics and norm-violations is of particular interest for the social sciences and public discussions likewise. This special issue of methods, data, analyses with seven papers has the ambition to contribute to the contemporary debates this field. It provides various important contributions to both theoretical and practical challenges in the research on sensitive questions.

    To the homepage of mda

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