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GESIS

Leibniz Institute for the Social Sciences
Country: Germany
30 Projects, page 1 of 6
  • Funder: EC Project Code: 952128
    Overall Budget: 898,840 EURFunder Contribution: 898,840 EUR

    Digitalization of society characterizes the twenty-first century in many aspects of social, political and cultural life. Computational Social Science (CSS) and Quantitative Social Science (QSS) methods have rapidly developed to analyse these digital human traces, and have become the indispensable core of current high impact scientific research in Social Sciences. However, the widening country Turkey severely lacks scientific expertise and capacity in these methods. Therefore, the Koç University (KU) in Istanbul has teamed up with GESIS- Leibniz Institute for the Social Sciences from Germany and ISI Foundation- Istituto Interscambio Scientifico (ISI) from Italy to form the project consortium Social ComQuant. The leading institutions GESIS and ISI will share their expertise in CSS and QSS and facilitate to build scientific excellence at KU in these fields. The project will (i) train early stage researchers at KU in CSS and QSS; (ii) increase scientific excellence of faculty members at KU and other Turkish institutions in CSS and QSS; (iii) build a teaching infrastructure for academic curricula in CSS and QSS at KU; and (iv) strengthen joint research collaboration between the consortium members. These objectives will be reached through staff exchanges, summer schools, workshops, expert visits and a virtual training platform that will establish a significant human capacity at KU by facilitating faculty members, graduate and undergraduate students to gain utmost experience in CSS and QSS. This will transform the widening institute KU to a regional hub in Turkey and the wider Middle East region for sociology research on digitalization and big data. Social ComQuant will fulfil the objectives of the Twinning Actions by introducing the promising institute Koç University into the closed group of excellent EU institutes in Social Sciences, increasing the participation of Turkey in European projects and establishing Turkey as an equal partner of the European Research Area.

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  • Funder: EC Project Code: 266638
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  • Funder: EC Project Code: 321485
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  • Funder: EC Project Code: 266767
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  • Funder: EC Project Code: 101086321
    Funder Contribution: 1,297,200 EUR

    In today's world, access to information thought of as the resolution of uncertainty; is often considered as a benefit or even as an indisputable human right. There is, however, the “dark side” of information: the abundance of data beyond one’s capacity to process them leads to so-called information overload (IOL). This notion had troubled mankind long before even the print was invented and examined from different points of view, ranging from neuroscience to journalism. IOL is, however, usually considered at the individual level by examining a single factor or a specific level that eventually leads to switching off an active individual. The influence of IOL appearing simultaneously at different levels, i.e., a multilevel information overload is unknown, though. These observations lead to setting the main aim of the OMINO - Overcoming Multilevel INformation Overload project in a form of the following objectives: (1) create and apply means to measure multilevel IOL in different systems as well as methods to model IOL and counter-measures to mitigate this phenomenon, (2) training and knowledge exchange on IOL between partners in different domains using expertise from universities in U.S., Singapore and Japan, (3) intersectoral knowledge transfer between academia and the media industry (Slovenian and Austrian Press Agencies) by exposing researchers to real-life problems and giving business access to innovative methods and tools for information analysis. One of the most important aspects of the undertaken research area is its interdisciplinary nature, requiring joint work of experts in different fields and topics, i.e., social sciences, neuroscience, journalism, computing, data mining and complexity science. OMINO will accelerate individual careers of involved researchers, especially early stage ones and increase their employability. The project will lay foundations for long-term collaboration by strengthening existing links between partners and creating new ones.

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