This chapter focuses on how pupil’s scientific understanding can be studied. The principles of a complex dynamic systems approach are highlighted.
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Albeit the widespread application of recommender systems (RecSys) in our daily lives, rather limited research has been done on quantifying unfairness and biases present in such systems. Prior work largely focuses on determining whether a RecSys is discriminating or not but does not compute the amount of bias present in these systems. Biased recommendations may lead to decisions that can potentially have adverse effects on individuals, sensitive user groups, and society. Hence, it is important to quantify these biases for fair and safe commercial applications of these systems. This paper focuses on quantifying popularity bias that stems directly from the output of RecSys models, leading to over recommendation of popular items that are likely to be misaligned with user preferences. Four metrics to quantify popularity bias in RescSys over time in dynamic setting across different sensitive user groups have been proposed. These metrics have been demonstrated for four collaborative filteri ng based RecSys algorithms trained on two commonly used benchmark datasets in the literature. Results obtained show that the metrics proposed provide a comprehensive understanding of growing disparities in treatment between sensitive groups over time when used conjointly.
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In order to study education and development, researchers can choose among a plethora of methods. The Merriam-Webster dictionary tells us that “method” means: a procedure or process for attaining an object …such as …a systematic procedure, technique, or mode of inquiry employed by or proper to a particular discipline or art “ or “a way, technique, or process of or for doing something”, or “a body of skills or techniques”. Methods proper to the scientific study of education and development cover a very broad range of procedures, ranging from how to formulate and ask questions, how to design studies for answering such questions, how to perform such studies in real-world contexts, how to extract data and how to process them, how to relate processed data to answers on questions, how to communicate such questions and answers, and how to apply them to real world activities aimed at promoting education and development. This body of methods is customarily termed “methodology”, which is a concept that includes the methods themselves but also our understanding of their relationships and their rational and scientific justification. Let us call this body of methods and the justifications “Integrative methodology”. Researchers often tend to see this integrative methodology as a more or less autonomous set of good practice prescriptions. This view is consistent with practices of academic training in which methodology courses are offered separate from courses on disciplinarian contents, e.g. courses on development or educational science. As a consequence of this autonomy oriented view of methodology, scientific questions regarding development and education tend to be framed in terms of the available or habitual methods. For instance, we readily transform or translate concrete questions about the influence of some particular educational intervention in terms of a statistically significant difference between 2 representative samples that systematically differ in only one variable or feature of interest, which, in this case, is the intervention. Almost every word in this translation carries the heavy burden of methodological principles, concepts and presuppositions: “statistically”, “significant”, “difference”, “representative”, “sample”, “systematically”, “variable”, and “intervention”. And all these principles, concepts and presuppositions are taken from this autonomous body of integrative methodology, which forms our indisputable cookbook of good practices, outside of which no good — scientific — practices exist. The answers to questions that are shaped by this independent body of methodology will then contribute to existing theories of development and education. In this sense, it is the (allegedly) independent methodology that informs theory.In this chapter, we will move against this current practice and make the — apparently deeply obvious — claim that it must be theory that informs the questions and the way we shall answer these questions. That is, it must be theory – that is, your body of justified knowledge about a particular phenomenon – that informs, influences and determines methodology, that is, the whole of methods, procedures and instruments that you use to study that phenomenon. . The sort of theory that should inform integrative methodology must be an integrative theory, that is to say a theory consisting of a consistent set of general principles and concepts shaping the domains of inquiry, which in this particular case are the related domains of development and education
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With increasing penetration rates of driver assistance systems in road vehicles, powerful sensing and processing solutions enable further automation of on-road as well as off-road vehicles. In this maturing environment, SMEs are stepping in and education needs to align with this trend. By the input of student teams, HAN developed a first prototype robot platform to test automated vehicle technology in dynamic road scenarios that include VRUs (Vulnerable Road Users). These robot platforms can make complex manoeuvres while carrying dummies of typical VRUs, such as pedestrians and bicyclists. This is used to test the ability of automated vehicles to detect VRUs in realistic traffic scenarios and exhibit safe behaviour in environments that include VRUs, on public roads as well as in restricted areas. Commercially available VRU-robot platforms are conforming to standards, making them inflexible with respect to VRU-dummy design, and pricewise they are far out of reach for SMEs, education and research. CORDS-VTS aims to create a first, open version of an integrated solution to physically emulate traffic scenarios including VRUs. While analysing desired applications and scenarios, the consortium partners will define prioritized requirements (e.g. robot platform performance, dummy types and behaviour, desired software functionality, etc.). Multiple robots and dummies will be created and practically integrated and demonstrated in a multi-VRU scenario. The aim is to create a flexible, upgradeable solution, published fully in open source: The hardware (robot platform and dummies) will be published as well-documented DIY (do-it-yourself) projects and the accompanying software will be published as open-source projects. With the CORDS-VTS solution, SME companies, researchers and educators can test vehicle automation technology at a reachable price point and with the necessary flexibility, enabling higher innovation rates.
Inhalation therapy is essential for the management of respiratory conditions such as asthma and chronic obstructive pulmonary disease. However, current inhalation systems face limitations, including polydisperse aerosols that reduce drug delivery efficiency and complex treatment regimens that affect patient adherence. To improve drug targeting and efficacy, Gilbert Innovation B.V. is developing a next-generation soft-mist inhaler based on electrohydrodynamic atomization (EHDA), which produces uniform micrometer sized droplets. Effective drug delivery requires high flow rates and precise aerosol discharge to ensure deep lung deposition while minimizing losses to the device and oropharynx. To achieve this, the device employs a multi-nozzle system for increased flow and corona discharge needles for charge neutralization. However, ensuring uniform neutralization across multiple nozzles and maintaining stable electrospray operation remain key challenges. COSMIC aims to increase system robustness by optimizing neutralization efficiency, refining material selection, and controlling electrospray stability under varying conditions. The electrospray control system will incorporate advanced strategies leveraging computer vision, machine learning and big data analytics. These innovations will increase efficiency, accessibility and patient comfort in inhalation therapy.
CRISPR/Cas genome engineering unleashed a scientific revolution, but entails socio-ethical dilemmas as genetic changes might affect evolution and objections exist against genetically modified organisms. CRISPR-mediated epigenetic editing offers an alternative to reprogram gene functioning long-term, without changing the genetic sequence. Although preclinical studies indicate effective gene expression modulation, long-term effects are unpredictable. This limited understanding of epigenetics and transcription dynamics hampers straightforward applications and prevents full exploitation of epigenetic editing in biotechnological and health/medical applications.Epi-Guide-Edit will analyse existing and newly-generated screening data to predict long-term responsiveness to epigenetic editing (cancer cells, plant protoplasts). Robust rules to achieve long-term epigenetic reprogramming will be distilled based on i) responsiveness to various epigenetic effector domains targeting selected genes, ii) (epi)genetic/chromatin composition before/after editing, and iii) transcription dynamics. Sustained reprogramming will be examined in complex systems (2/3D fibroblast/immune/cancer co-cultures; tomato plants), providing insights for improving tumor/immune responses, skin care or crop breeding. The iterative optimisations of Epi-Guide-Edit rules to non-genetically reprogram eventually any gene of interest will enable exploitation of gene regulation in diverse biological models addressing major societal challenges.The optimally balanced consortium of (applied) universities, ethical and industrial experts facilitates timely socioeconomic impact. Specifically, the developed knowledge/tools will be shared with a wide-spectrum of students/teachers ensuring training of next-generation professionals. Epi-Guide-Edit will thus result in widely applicable effective epigenetic editing tools, whilst training next-generation scientists, and guiding public acceptance.
