118,205 research outputs found
Introduction to entrepreneurship and digital humanities
No full textResponding to several societal challenges, as in pandemics, climate crisis, mass migration, ageing populations, terrorism and conflicts, has resulted in a “new normal” state of permanent or poly crisis. Such a state requires responses and solutions that can only be delivered by working across traditional disciplinary, sectoral and institutional boundaries. Indeed, during the COVID-19 pandemic it was clear that we needed medics for vaccines and digital expertise for contact tracing. At the same time, experts in communications, language and behavioural sciences were also critical in ensuring public support and vaccine uptake. Historians played a role in providing insights from previous
pandemics. The complexity of current times, reflected in the rapid changes of the job
market, requires an integration between technical and soft skills, digital tools and ethical considerations, posing new challenges for the education system. The complex integration across disciplines, prompted by the digital revolution and technological acceleration, should be underpinned by a deeper understanding of the relationship between entrepreneurship education (EE) and digital humanities (DH), and their applications in the field of (responsible) business
Marriage record of Turner, Arthur and Kempton, Anna L.
No full textMarriage license for Arthur Turner and Anna L. Kempton. S.G. Meadows was the officiant
Kempton Fellowship in Nutrition Research
No full textMrs. Jean-Louise Kempton (L) presents Dr. James E. Johnson with the Kempton Fellowship in Nutrition Research Award in 1983. Dr. Johnson was the first recipient of the award, established by Kempton and her aunt, Mary E. Welch in the early 1970s. Kempton suffered from Myasthenia Gravis, a debilitating neuromuscular disease that she found was helped greatly with proper nutrition.Info from Medical Alumni News, April 1983; Medical Alumni News, January 1984. Published in Medical Alumni News, vol. 25, no. 2, April 1983, p. 4
Humanism and innovation in the global world: challenges for universities and the transformation of the labour market
No full textNowadays, the challenges (and opportunities) brought by digitalization are
creating new research and innovation paradigms, showing the extent to
which interconnections between science, technology, engineering and mathematics
(STEM) and social sciences and humanities (SSH) disciplines are
crucial to develop sustainable human-centred solutions (Schildermans, 2022).
Digitalization is becoming a subject of interest across heterogeneous, but complementary
fields of knowledge.
Humanism, as a philosophical and ethical standpoint, has been instrumental
in shaping the understanding of the value of human beings and their potential.
It emphasizes the importance of individual autonomy, critical thinking, and
the pursuit of knowledge. Indeed, in the context of a complex and highly
interconnected world, humanism continues to serve as a compass, guiding the
implementation of information and communication technologies (ICT) and
artificial intelligence (AI) advancements
Ethics for Human-Centered Education in the Age of AI
No full textThe chapter focuses on the role of artificial intelligence (AI) systems, including Large Language Models (LLMs), as tools to foster inclusive and innovative education. Through a comprehensive analysis of both ethical frameworks in AI in Education (AIED) and recent institutional and intergovernmental guidelines for a responsible and ethical utilization of AI in the realm of teaching and learning, the chapter identifies opportunities and challenges related to the deployment of AI in education and highlights the importance of a human-centered approach, where technology and humanity intersect
Distributed optimisation and control of graph Laplacian eigenvalues for robust consensus via an adaptive multi-layer strategy
No full textFunctions of eigenvalues of the graph Laplacian matrix L, especially the extremal non-trivial eigenvalues, the algebraic connectivity λ2 and the spectral radius λn, have been shown to be important in determining the performance in a host of consensus and synchronisation applications. In this paper we focus on formulating an entirely distributed control law for the control of edge weights in an undirected graph to solve a constrained optimisation problem involving these extremal eigenvalues. As an objective for the distributed control law, edge weights must be found that minimise the spectral radius of the graph Laplacian, thereby maximising the robustness of the network to time delays in the simple linear consensus protocol [1]. To constrain the problem, we use both local weight constraints, that weights must be non-negative, and a global connectivity constraint, maintaining a designated minimum algebraic connectivity. This ensures that the network remains sufficiently well connected. The distributed control law is formulated as a multi-layer strategy, using three layers of successive distributed estimation. Adequate time-scale separation between the layers is of paramount importance for the proper functioning of the system, and we derive conditions under which the distributed system converges as we would expect for the centralised control or optimisation system to converge
Alien Registration- Kempton, Chester L. (Portland, Cumberland County)
No full texthttps://digitalmaine.com/alien_docs/22093/thumbnail.jp
Adaptive Weight Selection for Optimal Consensus Performance
No full textWe address the problem of allocating weights to edges in a given undirected network topology, subject to constraints limiting the weighted degree of nodes, so as to maximise the algebraic connectivity of the network. The problem is convex and can be solved efficiently through techniques in semi-definite programming. We present a novel, adaptive method that can be implemented on-line to solve this problem. The presented strategy asymptotically converges to the optimalsolution for any feasible initial condition, and its continuous and smooth nature lends itself to Lyapunov stability analysis. We study the case where perfect global knowledge of the algebraic connectivity and its sensitivities is available to all nodes. Also we show, as a proof-of-concept, that the scheme can be extendedto so as to be implemented in a completely distributed manner. The theoretical derivations are illustrated via representative numerical examples
Self-Organization of Weighted Networks for Optimal Synchronizability
No full textWe show that a network can self-organize its existing topology, i.e., by adapting edge weights, in a completely decentralized manner in order to maximize its synchronizability while satisfying local constraints: we look specifically at nonnegativity of edge weights and maximum weighted degree of nodes. A novel multilayer approach is presented, which uses a decentralized strategy through which each node can estimate one of two spectral functions of the graph Laplacian, the algebraic connectivity λ2, or the eigenratio r=λn / λ2. These local estimates are then used to evolve the edge weights so as to maximize λ2, or minimize r, and, hence, achieve globally optimal values for the edge weights for the synchronization of a network of coupled systems.</p
Entrepreneurial education, social sciences and humanities: the case of LUCI – Laboratory for Humanism, Creativity and Innovation
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