How do members of parliament of different political parties discuss ‘science diplomacy’ – broadly speaking all activities at the intersection of science and foreign policy – on the parliamentary... Show moreHow do members of parliament of different political parties discuss ‘science diplomacy’ – broadly speaking all activities at the intersection of science and foreign policy – on the parliamentary floor over time? We address this question against the backdrop of the Russian invasion of Ukraine in February 2022 and analyse 72 speeches on science and Russia from the German and British parliament between February 2014 and December 2022. Our analysis reveals similarities and differences in how science diplomacy is discussed in the German Bundestag and the British House of Commons, how party views on science diplomacy in relation to Russia differ and how said views change over time. In so doing, our study shows that national science and policy ecosystems with their specific institutions and actors shape science diplomacy debates, including in times of war. Show less
Expensive objectives and constraints are key characteristics of real-world multi-objective optimization problems. In practice, they often occur jointly with inexpensive objectives and constraints.... Show moreExpensive objectives and constraints are key characteristics of real-world multi-objective optimization problems. In practice, they often occur jointly with inexpensive objectives and constraints. This paper presents the Inexpensive Objectives and Constraints Self-Adapting Multi-Objective Constraint Optimization algorithm that uses Radial Basis function Approximations (IOC-SAMO-COBRA) for such problems. This is motivated by the recently proposed Inexpensive Constraint Surrogate-Assisted Non-dominated Sorting Genetic Algorithm II (ICSA-NSGA-II). These algorithms and their counterparts that do not explicitly differentiate between expensive and inexpensive objectives and constraints are compared on 22 widely used test functions. The IOC-SAMOCOBRA algorithm finds significantly better (identical/worse) Pareto fronts in at least 78% (6%/16%) of all test problems compared to IC-SA-NSGA-II measured with both the hypervolume and Inverted Generational Distance+ performance metric. The empirical cumulative distribution functions confirm this advantage for both algorithm variants that exploit the inexpensive constraints. In addition, the proposed method is compared against state-of-the-art practices on a real-world cargo vessel design problem. On this 17-dimensional twoobjective practical problem, the proposed IOC-SAMO-COBRA outperforms SA-NSGA-II as well. From an algorithmic perspective, the comparison identifies specific strengths of both approaches and indicates how they should be hybridized to combine their best components. Show less
König, H.M.T.; Bosman, A.W.; Hoos, H.H.; Rijn, J.N. van 2024
Background and Context: In order to fully include learners with visual impairments in early programming education, it is necessary to gain insight into specificities regarding their experience of... Show moreBackground and Context: In order to fully include learners with visual impairments in early programming education, it is necessary to gain insight into specificities regarding their experience of and approach to abstract computational concepts.Objective: In this study, we use the model of the layers of abstraction to explore how learners with visual impairments approach the computational concept of abstraction, working with the Bee-bot and Blue-bot.Method: Six blind and three low vision learners from the elementary school level were observed while completing programming assignments.Findings: The model of the layers of abstraction, can overall be generalized to learners with visual impairments, who engage in patterns that reflect iterative actions of redesigning and debugging. Especially our blind learners use specific tactile and physical behaviors to engage in these actions.Implications: Ultimately, understanding such specificities can contribute to inclusive tailored educational instruction and support. Show less
The prediction of the statutory attained subdivision index is a challenging issue for the initial design of ships due to the design freedom offered by a probabilistic damage stability assessment.... Show moreThe prediction of the statutory attained subdivision index is a challenging issue for the initial design of ships due to the design freedom offered by a probabilistic damage stability assessment. To this end, optimisation techniques integrated with a parametric model of the internal layout may generate a preliminary subdivision design, fulfilling damage stability regulations and cargo volume requirements. The present study explores using a multiobjective constrained optimisation algorithm coupled with a parametric model of a single hold cargo vessel, first investigating two design goal alternatives and secondly performing a global sensitivity analysis on the design variables for the most promising solution. The adoption, in parallel, of state-of-the-art practices shows the validity of the obtained solutions and the time benefits for designers. Nonetheless, the non-linear nature of probabilistic damage stability does not allow for clearly identifying the most impactful parameters on the attained survivability index. Show less
To promote cross-community dialogue on matters of significance within the field of learning analytics (LA), we as editors-in-chief of the Journal of Learning Analytics (JLA) have introduced a... Show moreTo promote cross-community dialogue on matters of significance within the field of learning analytics (LA), we as editors-in-chief of the Journal of Learning Analytics (JLA) have introduced a section for papers that are open to peer commentary. An invitation to submit proposals for commentaries on the paper was released, and 12 of these proposals were accepted. The 26 authors of the accepted commentaries are based in Europe, North America, and Australia. They range in experience from PhD students and early-career researchers to some of the longest-standing, most senior members of the learning analytics community. This paper brings those commentaries together, and we recommend reading it as a companion piece to the original paper by Motz et al. (2023), which also appears in this issue. Show less
