Suchergebnisse

The conditions that govern academic research vary greatly from country to country and research in the Republic of Ireland was and remains markedly different from that of its larger European neighbours and the United States. Despite the quality of its education system and the excellent reputation of its universities, until recently Ireland had relatively low levels of academic research. Pinnacles of excellence could be found in certain disciplines, but state funding was low and issues relating to industrial collaborations, international partnerships, commercialisation and the exploitation of Intellectual Property (IP) rarely arose. Even today the Irish Government's spending on academic research, though only slightly less than the European average based on GNP, is dwarfed by the Research and Development (R & D) budgets of individual multinational companies. Nonetheless, rapid economic growth has led to a heightened awareness of the need for strategically planned research. The 'Lisbon Objective' proposes to make Europe "the most dynamic knowledge-driven economy in the world by 2010". Consequently research is heavily influenced by this policy and so a range of unfamiliar problems are posed for managers of Irish academic research. Key to successful operational planning and growth is the need to reconcile a number of contradictions at the heart of R & D in Third Level Institutes[1]. [1] 'Third Level Institute' is a term used in Ireland to describe any higher education institute

Abstract: Funding agencies and universities are increasingly searching for effec-tive ways to support and strengthen a dynamic and competitive scientific research capacity. Many of their funding policies are based on the hypothesis that increased collaboration and networking between researchers and between institutions lead to improved scientific productivity. Although many studies have found positive correlations between academic collaborations and research performance, it is less clear how formal institutional networks contribute to this effect. Using social net-work analysis (SNA) methods, we highlight the distinction between what we define as "formal" institutional research networks and "organic" researcher networks. We also analyze the association between researchers' actual structural position in such networks and their scientific performance. The data used come from cur-riculum vitae information of 125 researchers in two provincially funded research networks in Quebec, Canada. Our findings confirm a positive correlation between collaborations and research productivity. We also demonstrate that collaborations within the formal networks in our study constitute a relatively small component of the underlying organic network of collaborations. These findings contribute to the literature on evaluating policies and programs that pertain to institutional research networks and should stimulate research on the capacity of such networks to foster research productivity.Résumé : Les universités et les agences de financement cherchent de plus en plus à renforcer de façon efficace une capacité de recherche scientifique dynamique et concurrentielle. Bon nombre de leurs politiques de financement sont fondées sur l'hypothèse qu'une amélioration de la collaboration et du réseautage entre les chercheurs et entre les établissements mène à une productivité scientifique accrue. De nombreuses études ont noté une corrélation positive entre les collaborations de recherche et le rendement en recherche, mais la contribution des réseaux institution-nels officiels à ce résultat reste nébuleuse. À l'aide de méthodes d'analyse des réseaux sociaux, nous mettons l'accent sur la distinction entre ce que nous définissons comme les réseaux institutionnels de recherche « officiels » et les réseaux « organiques » de chercheurs. Nous analysons aussi l'association entre les positions structurelles réelles

Artificial intelligence (AI) has established itself as a transformative force in the digital era, influencing not only companies but also the field of academic research. This technological evolution, together with the exponential growth of data, is reshaping organizations, societies, and economies (George, Osinga, Lavie, & Scott, 2016). However, the application of AI in academic research is still in its early stages, and many academic journals are beginning to address its judicious use.

In the fourth chapter of the book "The economy of the common good", the nature of economics as a science and research practices in their theoretical and empirical aspects are discussed. The author considers the processes of modeling, empirical verification of models and evaluation of research quality. In addition, the features of economic cognition and the role of mathematics in economic research are analyzed, including the example of relevant research in game theory and information theory.

This report is categorized into seven categories: (I) Introduction, (II) Higher Education and the Research Mission, (III) University Research-Industry Partnerships, (IV) The Changing Institutional Context of Research, (V) Distribution of Funding for Academic Research and Development, (VI) The National Academies' Committee on Research Universities and (VI) Policy Considerations.

The author describes three "anchors" in Israeli conceptions: about the Palestinians in Lebanon ("the Palestinian is a refugee"), about the PLO ("the Palestinian organizations are terrorist organizations"), and about the relations between the Palestinians and the PLO ("the Palestinians and the PLO are synonymous"); reactions of Israeli politicians, government officials and scholars to the invalidation of the anchors; the question of how academic research on issues of current political import contributes to the adjustment of entrenched socio-political anchors in these areas

The advent of the AUKUS partnership heralds a transformative era in Australia's strategic posture and scientific landscape, propelling us into the vanguard of cutting-edge research and development. However, this newfound prominence also exposes a critical ...