The dominant model of universities, especially in the social sciences, is often based upon academic disciplines, objectivity, and a linear knowledge-transfer model. It facilitates competition between academics, educating students for specifc professions from an objective, descriptive, and neutral position. This paper argues that this institutional model of universities is inadequate to contribute efectively to societal transitions towards just and sustainable futures. Taking the Erasmus University Rotterdam (EUR), the Netherlands, as an example, this paper illustrates the problems with the dominant (twentieth century) model of universities in the social sciences and explores what strategies universities can develop to transform. It introduces the notions of transformative research and transformative education: transdisciplinary, collaborative, and action-oriented academic work that explicitly aims to support societal transitions. It presents the design impact transition (DIT) platform as an ‘institutional experiment’ at the EUR and a concerted and strategic efort that lays bare current lock-ins of the dominant university model and the kind of institutional work needed to transform universities.
Marine fisheries constitute a crucial component of global green development, where artificial intelligence (AI) plays an essential role in enhancing green economic efficiency associated with marine fisheries. This study utilizes panel data from 11 coastal provinces and municipalities in China from 2009 to 2020, employing the entropy method and the super-efficiency EBM model to calculate the AI index and the green economic efficiency of marine fisheries. Based on these calculations, we utilize fixed effects models, moderation effect models, and panel threshold models to examine the impact of AI on the green economic efficiency of marine fisheries. The study reveals that: (i) From 2009 to 2020, AI has significantly improved overall, while the green economic efficiency of marine fisheries has shown a fluctuating trend, with substantial regional disparities. (ii) AI significantly enhances the green economic efficiency of marine fisheries. (iii) Green finance, trade openness, and R&D investment act as crucial moderating variables, accelerating AI development and further improving the green economic efficiency of marine fisheries. (iv) The impact of AI on green economic efficiency varies across different intervals of green finance, trade openness, and R&D investment. These findings are crucial for understanding and advancing the informatization strategy of marine fisheries and hold significant implications for the sustainable development of global marine fisheries.
La guía Inteligencia Artificial Generativa (IAG) para los Objetivos Mundiales, creada por el Pacto Mundial de la ONU y Accenture, ofrece herramientas para que las empresas adopten la IAG de forma responsable y contribuyan al desarrollo sostenible. La guía destaca acciones para integrar la IA en estrategias empresariales, acelerando el cumplimiento de los Objetivos de Desarrollo Sostenible (ODS).