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Country: Norway


168 Projects, page 1 of 34
  • Funder: European Commission Project Code: 625217
  • Funder: European Commission Project Code: 882311
    Overall Budget: 214,159 EURFunder Contribution: 214,159 EUR

    Investigating Proxies for Understanding Trajectories: Heritage Language Maintenance and Child Second Language Acquisition in Refugee Contexts (INPUT) will examine heritage language and child second language development in the European refugee context. INPUT will significantly add to a sub-field of bilingualism studies, Heritage Language Bilingualism (HLB), by studying refugee heritage speakers in Europe, an understudied subset of HLB. This empirical study will investigate linguistic and extra-linguistic variables affecting the development of both the societal majority language and the heritage language with the goal of impacting education policy development. Heritage language Syrian Arabic in Germany and second language German will be investigated with a focus on 6- to 12-year-old children to examine developmental trajectories. The overall research objective is to understand the extent to which increased or reduced heritage language exposure affects heritage language and child second language trajectories and outcomes. For Europe, supporting refugee youth can have significant impact towards the publicly stated goal of integrating this population into their newly adopted countries. One major impediment to this integration is their successful acquisition of the societal majority language while maintaining and developing the first language. Our hypothesis is that support for continued development in the heritage language will improve second language development with knock-on effects for the academic achievement of refugees. At present, heritage language support and training varies tremendously all over Europe. Project findings will be relevant especially for policy makers, teachers, school principals and HLB communities in European countries that have seen a notable increase of Syrian Arabic heritage speakers. To date, most heritage language studies have focused exclusively on the minority language, INPUT helps to fill an important gap by focusing on both languages.

  • Funder: European Commission Project Code: 748966
    Overall Budget: 208,400 EURFunder Contribution: 208,400 EUR

    Grammatical gender represents an important area of research given the difficulty gender assignment and agreement poses to bilinguals at all levels of proficiency. As such, the objective of GenBiLex is to develop a comprehensive proposal of grammatical gender in the bilingual lexicon that includes psycholinguistic, language acquisition and theoretical linguistic approaches. Little previous research has examined the consequences of differences between the L1 and L2 gender systems, either in terms of the number of gender values (e.g. 2 vs 3 values) or the values themselves (e.g. common/neuter vs masculine/feminine). GenBiLex addresses this crucial gap by examining bilinguals with different types of gender systems in order to offer insight into the representation of and interactions between the L1 and L2 gender features in the lexicon and how this is borne out in the use of gender in the L2. In this research 140 adult native speakers (L1) of Norwegian, German, Dutch and French learning Spanish (L2) perform an L2 gender decision task (indicate the gender value of L2 nouns) and an eye-tracking reading acceptability judgment task (rate sentences with code-switched Determiner Phrases, e.g. die mesa, ‘theGER tableSPA’). The stimuli are manipulated in terms of the gender congruency between the L1 and L2 nouns, allowing for the representation and use of gender in the L2 to be examined and bilinguals’ use of gender agreement in code-switching to be investigated with respect to theoretical syntactic proposals. GenBiLex complements previous work on grammatical gender by the Language Acquisition, Variation and Attrition group at the University of Tromsø, extending their research to include L2 acquisition and more language pairings. The outcome of this research will be a significantly deeper understanding of the representation and processing of grammatical gender in the bilingual lexicon that contributes to psycholinguistics, language acquisition and theoretical linguistics.

  • Funder: European Commission Project Code: 101110545
    Funder Contribution: 210,911 EUR

    Information theory is a discipline at the intersection of statistics, engineering and computer science. As the study of information quantities, such as compression or communication capacities, information content or measures of statistical dependency, it is one of the theoretical underpinnings of data science. Computational problems in information theory are highly non-linear. The goal of this project is to transfer state-of-the-art methods of computational non-linear algebra to information theory, to study the inherent algebraic complexity of information-theoretical problems and to provide tools for solving them in practice. The algebraic point of view has proven to be fruitful in seemingly unrelated areas, as witnessed by a surge of recent work in algebraic statistics, in particular on likelihood geometry. However, maximizing the likelihood function is the same as minimizing relative entropy — a specific information quantity. Hence, this project also aims at generalizing the techniques developed in likelihood geometry. One focus is on the practical computation of information quantities using numerical and differential algebraic geometry. Such quantities are defined via non-linear optimization problems and we aim to pinpoint the algebraic complexity of these problems in instances of general interest, such as common information measures. The final objective is finding fundamental laws and limits of data science imposed by non-linear inequalities constraining the entropic region. These inequalities provide, by duality, universal bounds for many of the optimization problems studied in information theory.

  • Funder: European Commission Project Code: 101062153
    Funder Contribution: 226,751 EUR

    MD GIG examines the transition to digital service provision in the public services by exploring the rise of the "online doctor" that provide consultations between doctor-patient via app-based mobile phone technology. The aim is to explore digitalization of healthcare from a worker perspective to highlight the preconditions that give rise to gig work in the healthcare sector and explore the potential consequences at different scales. Whereas before all patients had go to a primary care center on appointment during office hours, today patients can have a consult with a doctor on-demand at any time and from anywhere. Medical work's entry into the platform economy, where work is reshaped into "gigs" that workers perform where and when they want, is developing parallel to organizational and economic restructuring of the healthcare system towards more marketization and private-public partnerships. The project sets out to understand the individual motivations for doctors to take up work in digital doctor platforms through in-depth interviews to produce narratives based in the MDs own experiences, to explore the approach of the trade unions and medical associations to digital doctor platforms through expert-interviews with high level union employees to document their hopes, fears and strategies regarding changing labour markets and working conditions, and to analyse the role of digital doctor platforms in public healthcare restructuring to produce a political economy of digital healthcare in Europe.


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