General information
Code: P5-0168 Petrič
Period: 4.4.2019
Project leader at FDV: prof.dr. Gregor Petrič
Research activity: Social sciences
Abstract
The programme group has been continuously researching crucial topics in the fields of social science methodology, statistics and social informatics since 1999. In the next funding round, it will continue to focus on the four main and interconnected thematic areas: a) Network analysis; b) Measuring and explaining information society phenomena; c) Integration of quantitative and qualitative approaches; and d) Mathematical modelling in the social sciences. a) Network analysis: The research group will continue to address topics from the most prominent subfields of network analysis: (i) data collection methods; (ii) network measurement; (iii) development of methods for analysis of (large) networks; (iv) implementation of algorithms in computer programs (e.g. Pajek); (v) applications of network analysis in different research areas. b) Measuring and explaining information society phenomena: The research programme will: (i) further develop and use innovative methodological approaches to study crucial information society phenomena; and (ii) apply innovative research methods to study the social aspects and effects of information society technologies on individuals, groups, communities, organisations, and society in general. Emphasis will be on methodological and substantive issues pertaining to research of e-health, the human factor in information security, and children's use of digital technologies. c) Integration of quantitative and qualitative approaches: The research objective will be to further develop the integration of various online and offline data collection approaches. The group members will compare recruitment, design, moderation, ethical and technological issues in online and offline interviews and further explore the possibilities to improve the interaction in online focus groups. d) Mathematical modelling in social sciences: The work will continue on the topics of imprecise Markov processes and imprecise copulas and investigation of families of copulas derived from classical precise copulas. The main objectives are to provide highly efficient algorithms that will outperform the existing ones in several respects and to identify real life examples to test the efficiency of the newly developed algorithms. The research activities together with the considerable interdisciplinarity and openness to collaboration will further strengthen the research group's well-established role in the international scientific community, as already demonstrated by numerous high-impact publications in journals and prominent international academic publishers, awards, memberships of editorial boards, involvement in international organisations, projects, scientific collaborations and pedagogic activities at national and international universities.
Research Organisation
https://cris.cobiss.net/ecris/si/en/project/18986
Researchers
https://cris.cobiss.net/ecris/si/en/project/18986
Citations for bibliographic records
https://cris.cobiss.net/ecris/si/en/project/18986
Key words
artificial inteligence, digitalization, e-health, information security, internet research, machine learning, methodology, network analysis, scientometrics, social informatics, statistics
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