Powered by OpenAIRE graph
Found an issue? Give us feedback

UNED

National University of Distance Education
Funder
Top 100 values are shown in the filters
Results number
arrow_drop_down
29 Projects, page 1 of 6
  • Funder: EC Project Code: 101018172
    Overall Budget: 2,499,900 EURFunder Contribution: 2,499,900 EUR

    The UN has recently proclaimed 2020-2030 the Decade of Action and its top priority is fighting violent extremism. This call is grounded in the insufficient progress achieved despite the vast efforts from Governments and scholars to tackle this issue. The main shortcomings of previous approaches are (1) theoretical (poor consensus about the nature and causes), (2) empirical (infrequent access to populations of interest), and (3) methodological (research designs that do not allow to test for causality, no comparative studies, over-reliance on qualitative data). I am going to introduce and test empirically the first comprehensive multi-theoretical framework for the study of radicalization leading to violence and deradicalization by understanding its nature to develop intervention programs. In part one (WP1) I will develop a multi-theory model for the nature and mechanisms underlying radicalization leading to violence and deradicalization. In WP2 I will develop an innovative methodology to assess these processes by a platform for data collection including dynamic and interactive measures of radicalization and deradicalization in large samples in five continents. WP3 will examine the mechanisms underlying radicalization outside and inside prisons in 10 nations (Spain, Iraq, Indonesia, Sri-Lanka, Colombia, Morocco, Palestine, Egypt, Tunisia, Jordan) through interviews, combined with online cross-sectional and longitudinal experiments to allow the inference of causality. WP4 will focus on the development of evidence-based programs designed to prevent radicalization in prisons and to conduct de-radicalization with incarcerated violent extremist offenders. The contributions of this framework are twofold: a) advancing the scientific understanding of violent extremism by collecting unique empirical data from samples of violent extremist offenders collected worldwide, and b) providing novel evidence-based strategies and tools for predicting and preventing violent extremism.

    more_vert
  • Funder: EC Project Code: 101068861
    Funder Contribution: 261,381 EUR

    The overall research goal of this proposal is to develop a multidisciplinary study of the little known long-necked dinosaurs of North Africa using virtual paleontology techniques (developed in my PhD thesis) histological data on the fossil material, pneumatic apparatus reconstruction and phylogenetic analysis to understand the significance of a range of new species. The project will have a major impact in the fields of paleontology and biology, generating critical new data on the large terrestrial vertebrates of a major continent during a period of the Mesozoic that experienced sea level and temperature changes resulting in major extinctions. The fossil material comprises the single largest undescribed fauna from any major continent during the latter half of the Mesozoic. The high-profile scientific results to come from this research over two-years in the Department of Organismal Biology (University of Chicago), under the supervision of Prof. Sereno, will boost my academic profile and experience in the fields of paleontology and evolution, significantly increasing the chance to continue my career by leading a multidisciplinary and diverse research group in the field of paleobiology in Europe.

    more_vert
  • Funder: EC Project Code: 679528
    Overall Budget: 1,131,410 EURFunder Contribution: 1,131,410 EUR

    This project aims at bridging the digital gap among traditional cultural assets and the growing world of data. It is focused on poetry analysis, classification and publication, applying Digital Humanities methods of academic analysis -such as XML-TEI encoding- in order to look for standardization. Interoperability problems between the different poetry collections are solved by using semantic web technologies to link and publish literary datasets in a structured way in the linked data cloud. The advantages of making poetry available online as machine-readable linked data are threefold: first, the academic community will have an accessible digital platform to work with poetic corpora and to contribute to its enrichment with their own texts; second, this way of encoding and standardizing poetic information will be a guarantee of preservation for poems published only in old books or even transmitted orally, as texts will be digitized and stored as XML files; third: datasets and corpora will be available and open access to be used by the community for other purposes, such as education, cultural diffusion or entertainment. To accomplish such a ground-breaking approach, I have a hybrid profile, combining a strong philological background, specialized in poetry and metrics, with a deep knowledge of Digital Humanities proven by my leadership and experience in interdisciplinary projects. Since 2011, I am the Principal Investigator of the first Digital Repertoire of Medieval Spanish Poetry (ReMetCa), an innovative project that combines traditional metrical analysis with digital text encoding, and since 2014 I am the Academic Director of LINHD, The Digital Humanities Innovation Lab created at UNED as a research interdisciplinary centre.

    visibility8K
    visibilityviews7,783
    downloaddownloads4,290
    Powered by Usage counts
    more_vert
  • Funder: EC Project Code: 324401
    visibility26
    visibilityviews26
    downloaddownloads221
    Powered by Usage counts
    more_vert
  • Funder: EC Project Code: 758600
    Overall Budget: 1,499,570 EURFunder Contribution: 1,499,570 EUR

    This project aims to understand the role of effort in the reproduction of social inequality. While large-scale test programs like PISA have produced impressive amounts of data on the determinants of cognitive abilities, there is scant evidence on socio-economic differences in cognitive effort. Better understanding the social origins of effort pushes the frontier of knowledge on intergenerational mobility and allows improving equality of opportunity. Specifically, the aim of the project is to answer three research questions: 1. To what extent do children’s effort levels differ by parental socioeconomic background? (descriptive component) 2. Can existing disparities in effort by social background be explained by (a) the intergenerational transmission of effort from parents to children, and (b) varying motivations and differential susceptibility to incentives? (analytical component) 3. What are the best techniques to measure cognitive effort and what are the strengths and weaknesses of measures routinely used in different scientific disciplines? (methodological component) The project will develop and exploit cutting-edge methods of effort measurement such as real-effort tasks and psychophysiological techniques like pupillometry. Their immense potential has remained untapped in inequality research thus far. Experimental data will be collected for a large sample of school-age children and their parents in Spain and Germany. Subjective effort dispositions will be further analyzed using (inter)national surveys. The triangulation of carefully chosen methodologies will provide the first reliable evidence on socioeconomic differences in effort and stimulate new research (e.g. on gender or ethnic differentials in effort). Cross-validation analysis will detect possible biases of commonly used effort measures. The research findings will provide valuable insights for educational practitioners and decisive evidence for normative debates about social inequality and policy design.

    visibility473
    visibilityviews473
    downloaddownloads773
    Powered by Usage counts
    more_vert
Powered by OpenAIRE graph
Found an issue? Give us feedback

Do the share buttons not appear? Please make sure, any blocking addon is disabled, and then reload the page.

Content report
No reports available
Funder report
No option selected
arrow_drop_down

Do you wish to download a CSV file? Note that this process may take a while.

There was an error in csv downloading. Please try again later.