Changes between Version 6 and Version 7 of en/GrantProjects

Oct 22, 2020, 5:26:57 PM (2 years ago)

updated with new projects


  • en/GrantProjects

    v6 v7  
    77A research has been partially supported by the Czech Ministry of Education under these grants: (We apologize, but most reports are in czech only.)
     9 * '''Modelling the future: Understanding the impact of technology on adolescent’s well-being (FUTURE)''' [ MUNI]
     10   * GA ČR GX19-27828X
     11   * 1.1.2019 - 31.12.2023
     12   * This project aims to develop a complex evidence-based theory depicting impacts of technology usage on physical, psychological and social well-being of adolescents. We will integrate theories used by different fields, such as ecological systems theory (psychology), differential susceptibility to media effects theory (media studies), problem behavior theory (psychology) and behavioral change theory (health). Further, we plan to develop an innovative methodology integrating findings from short-term and long-term data collections. The first work package (WP) is based on the analyses of up-to-date data and aims to understand the associations of selected online risks and opportunities with well-being in the cross-culture perspective. We will use data from the project EU Kids Online, which collected representative data in 25 countries in the year 2010 and in 12 countries in the years 2017 to 2018. The second WP will assess the effects of the technology and various psycho-social factors on well-being of adolescents in longitudinal perspective. To capture the changes and to provide results in terms of causality, we will carry out the three-wave longitudinal research (with a one-year interval between each wave) on Czech adolescents aged 11-18 years. We aim for a sample of at least 1,000 adolescents and parents who attended the survey in all three waves. The third WP will comprise series of short-term studies focusing on examination of the cognitive processes related to impact of technology on well-being. We will present the stimuli on a computer/smartphone screen, and using eye-tracker, capture the pattern of eye movement. We will measure how different stimuli causes changes in well-being in relation to cognitive perceptions of the screens. The fourth WP will develop innovative research tools which will integrate short-term and long-term data collections. We will develop a software based on machine learning tools which will automatically access online behavior of adolescents. The data collection will combine intensive data collections based on real time behavior of adolescents (4x two weeks) with short surveys displayed on smart phones and two standard surveys. [[BR]][[BR]]
     13 * '''Pattern REcognition-based Statistically Enhanced MT – PRESEMT''' [ isVaV]
     14   * MŠMT 7E10057
     15   * 1.1.2010–31.12.2012
     16   * This  proposal describes PRESEMT, a flexible and adaptable MT system, based  on a language-independent method, whose principles ensure easy  portability to new language pairs. This method attempts to overcome  well-known problems of other MT approaches, e.g. bilingual corpora  compilation or creation of new rules per language pair. PRESEMT will  address the issue of effectively managing multilingual content and is  expected to suggest a language-independent machine-learning-based  methodology. The key aspects of PRESEMT involve syntactic phrase-based  modelling, pattern recognition approaches (such as extended clustering  or neural networks) or game theory techniques towards the development of  a language-independent analysis, evolutionary algorithms for system  optimisation. [[BR]][[BR]]
    917 *  '''!BalkaNet - Design and Development of a Multilingual Balkan !WordNet'''
    1018   * Members: University of Patras, Compute Technology Institut, University Alexandru Ioan Cuza, Academia Romana, Bulgarian Academy of Science, Sabanci University, Masaryk University, Memodata, University of Plovdiv, University of Athens