• From PhD to job market: Transforming doctoral training with the SAF21 model 

      Borit, Melania; Weber, Charlotte Teresa; Risan Johnsen, Hanne (Journal article; Tidsskriftartikkel, 2017-03)
    • Guidelines for co-creating climate adaptation plans for fisheries and aquaculture 

      Pham, Thi Thanh Thuy; Friðriksdóttir, Ragnhildur; Weber, Charlotte Teresa; Viðarsson, Jónas R.; Papandroulakis, Nikos; Baudron, Alan; Olsen, Petter; Arias-Hansen, Juliana; Laksá, Unn; Fernandes, Paul G.; Bahri, Tarub; Ragnarsson, Sigurður Ö; Aschan, Michaela (Journal article; Tidsskriftartikkel; Peer reviewed, 2021-02-27)
      Climate change is having a significant impact on the biology and ecology of fish stocks and aquaculture species and will affect the productivity within seafood supply chains in the future. The challenges are further amplified when actors within the fisheries and aquaculture sectors have very different ideas and assumptions about climate change and what risks and opportunities they entail. In order ...
    • Identifying and Documenting Transferable Skills and Competences to Enhance Early-Career Researchers Employability and Competitiveness. 

      Weber, Charlotte Teresa; Borit, Melania; Canolle, Fabien; Hnatkova, Eva; Pacitti, Davide; Parada, Filomena; O'Neill, Gareth (Research report; Forskningsrapport, 2018-10-01)
      This report identifies transferable skills and competences relevant for early career researchers to gather during their doctoral training program and beyond, in order to increase their employability in multiple work sectors. A skills matrix and infographic (see Appendix) with nine different categories, containing a total of 66 transferable skills and competences, is presented. Advice on how to ...
    • Identifying transferable skills to enhance Early Career Researchers employability 

      Weber, Charlotte Teresa; Borit, Melania; Hnatkova, Eva; Parada, Filomena; Johnsen, Hanne R.; Aschan, Michaela (Conference object; Konferansebidrag, 2018)
      Doctoral candidates are facing a diverse employment landscape that shifted significantly in the last decades, with less than 30 % of doctoral graduates working in academia or in research and development related jobs. In addition to becoming more inter-sectoral, working environments are becoming increasingly inter-national and inter-disciplinary. This development can make the employment requirements ...
    • An interdisciplinary insight into the human dimension in fisheries models. A systematic literature review in a European Union context 

      Weber, Charlotte Teresa; Borit, Melania; Aschan, Michaela (Journal article; Tidsskriftartikkel; Peer reviewed, 2019-07-02)
      Fisheries are complex adaptive social-ecological systems (SES) that consist of interlinked human and ecosystems. They have mainly been studied by the natural sciences and focused on the ecosystem. However, rising concerns about sustainability and increasing complexity of societal challenges often require an understanding of fisheries in a SES context. For this purpose, the study of the human ...
    • Interdisciplinary optimism? Sentiment analysis of Twitter data 

      Weber, Charlotte Teresa; Syed, Shaheen (Journal article; Tidsskriftartikkel; Peer reviewed, 2019-07-31)
      Interdisciplinary research has faced many challenges, including institutional, cultural and practical ones, while it has also been reported as a ‘career risk’ and even ‘career suicide’ for researchers pursuing such an education and approach. Yet, the propagation of challenges and risks can easily lead to a feeling of anxiety and disempowerment in researchers, which we think is counterproductive to ...
    • A parable of compliance issues and their link to EBFM outcomes. 

      Pope, John; Weber, Charlotte Teresa (Journal article; Tidsskriftartikkel; Peer reviewed, 2018-11-14)
      <p>Fisheries Stakeholders are understandably most concerned with immediate problems. Often these problems are related to proposed rule changes. This short term focus is in itself a serious problem for introducing Ecosystems Based Fisheries Management (EBFM), which is typically seen as a long-term approach. However, the short-term response of fishers to rule changes may well have long-term consequences ...
    • Using Machine Learning to Uncover Latent Research Topics in Fishery Models 

      Syed, Shaheen; Weber, Charlotte Teresa (Journal article; Tidsskriftartikkel; Peer reviewed, 2018-01-16)
      Modeling has become the most commonly used method in fisheries science, with numerous types of models and approaches available today. The large variety of models and the overwhelming amount of scientific literature published yearly can make it difficult to effectively access and use the output of fisheries modeling publications. In particular, the underlying topic of an article cannot always be ...