The central thesis of this book is that access to information represents a vital aspect of contemporary society, encompassing participation, accountability, governance, transparency, the production of products, and the delivery of services. This view is widely shared, with commentators and scholars agreeing that access to information is a key factor in maintaining societal and economic stability. However, having access to information does not guarantee its accessibility. Assuming that information is (cognitively) interpretable is incorrect, as many practical examples illustrate. In the first chapter, this book offers insights into the challenge of access to information in a digitalized world. The concepts of access and accessibility are addressed, elucidating their meanings and delineating the ways in which they are influenced by the exponential growth of information. It examines how information technology introduces a novel access paradox. The second chapter examines the challenges to access to and accessibility of information in a digitalized, hybrid world where code may be law, where there is an inescapable loss of privacy, where doing business opens and restricts access, where literacy is a necessity to survive ‘digital divides,’ and where environmental concerns may have an adverse effect on high expectations. The third chapter presents a review of theoretical approaches to access and accessibility from seven different research perspectives: information access disparity, information seeking, information retrieval, information quality, information security, information management, and archives management. Six approaches to information access and accessibility are identified: [1] social, economic, and political participation; [2] ‘smart’ and evolving technology; [3] power and control; [4] sense-making; [5] knowledge representations, and [6] information survival. The fourth chapter addresses the bottlenecks and requirements for information access and accessibility, culminating in a checklist for organizations to assess these requirements within their own business processes. In the fifth chapter, some perspectives on artificial intelligence and the future of information access are presented. The sixth chapter represents an attempt to draw conclusions and to bring this book to a close.
The evolving landscape of science communication highlights a shift from traditional dissemination to participatory engagement. This study explores Dutch citizens’ perspectives on science communication, focusing on science capital, public engagement, and communication goals. Using a mixed-methods approach, it combines survey data (n = 376) with focus group (n = 66) insights. Findings show increasing public interest in participating in science, though barriers like knowledge gaps persist. Trust-building, engaging adolescents, and integrating science into society were identified as key goals. These insights support the development of the Netherlands’ National Centre of Expertise on Science and Society and provide guidance for inclusive, effective science communication practices.
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12/31/2024The aim of this research was to gain evidence based arguments for the use of the scoring rubric for performance assessment of information literacy [1] in Dutch Universities of Applied Sciences. Faculty members from four different departments of The Hague University were interviewed on the ways in which they use the scoring rubric and their arguments for it. A fifth lecturer answered the main question by email. The topic list, which has been used as a guide for the interviews, was based on subject analysis of scholar literature on rubric use. Four of the five respondents used (parts of) the rubric for the measurement of students’ performances in information use but none of them used the rubric as it is. What the faculty staff told the researcher is that the rubric helped them to improve the grading criteria for existing assignments. Only one respondent used the rubric itself, but this lecturer extended it with some new criteria on writing skills. It was also discovered that the rubric is not only used for grading but also for the development of new learning content on research skills. [De hier gepubliceerde versie is het 'accepted paper' van het origineel dat is gepubliceerd op www.springerlink.com . De officiële publicatie kan worden gedownload op http://link.springer.com/chapter/10.1007/978-3-319-03919-0_58]
The focus of the research is 'Automated Analysis of Human Performance Data'. The three interconnected main components are (i)Human Performance (ii) Monitoring Human Performance and (iii) Automated Data Analysis . Human Performance is both the process and result of the person interacting with context to engage in tasks, whereas the performance range is determined by the interaction between the person and the context. Cheap and reliable wearable sensors allow for gathering large amounts of data, which is very useful for understanding, and possibly predicting, the performance of the user. Given the amount of data generated by such sensors, manual analysis becomes infeasible; tools should be devised for performing automated analysis looking for patterns, features, and anomalies. Such tools can help transform wearable sensors into reliable high resolution devices and help experts analyse wearable sensor data in the context of human performance, and use it for diagnosis and intervention purposes. Shyr and Spisic describe Automated Data Analysis as follows: Automated data analysis provides a systematic process of inspecting, cleaning, transforming, and modelling data with the goal of discovering useful information, suggesting conclusions and supporting decision making for further analysis. Their philosophy is to do the tedious part of the work automatically, and allow experts to focus on performing their research and applying their domain knowledge. However, automated data analysis means that the system has to teach itself to interpret interim results and do iterations. Knuth stated: Science is knowledge which we understand so well that we can teach it to a computer; and if we don't fully understand something, it is an art to deal with it.[Knuth, 1974]. The knowledge on Human Performance and its Monitoring is to be 'taught' to the system. To be able to construct automated analysis systems, an overview of the essential processes and components of these systems is needed.Knuth Since the notion of an algorithm or a computer program provides us with an extremely useful test for the depth of our knowledge about any given subject, the process of going from an art to a science means that we learn how to automate something.
“Empowering learners to create a sustainable future” This is the mission of Centre of Expertise Mission-Zero at The Hague University of Applied Sciences (THUAS). The postdoc candidate will expand the existing knowledge on biomimicry, which she teaches and researches, as a strategy to fulfil the mission of Mission-Zero. We know when tackling a design challenge, teams have difficulties sifting through the mass of information they encounter. The candidate aims to recognize the value of systematic biomimicry, leading the way towards the ecosystems services we need tomorrow (Pedersen Zari, 2017). Globally, biomimicry demonstrates strategies contributing to solving global challenges such as Urban Heat Islands (UHI) and human interferences, rethinking how climate and circular challenges are approached. Examples like Eastgate building (Pearce, 2016) have demonstrated successes in the field. While biomimicry offers guidelines and methodology, there is insufficient research on complex problem solving that systems-thinking requires. Our research question: Which factors are needed to help (novice) professionals initiate systems-thinking methods as part of their strategy? A solution should enable them to approach challenges in a systems-thinking manner just like nature does, to regenerate and resume projects. Our focus lies with challenges in two industries with many unsustainable practices and where a sizeable impact is possible: the built environment (Circularity Gap, 2021) and fashion (Joung, 2014). Mission Zero has identified a high demand for Biomimicry in these industries. This critical approach: 1) studies existing biomimetic tools, testing and defining gaps; 2) identifies needs of educators and professionals during and after an inter-disciplinary minor at The Hague University; and, 3) translates findings into shareable best practices through publications of results. Findings will be implemented into tangible engaging tools for educational and professional settings. Knowledge will be inclusive and disseminated to large audiences by focusing on communication through social media and intervention conferences.
The Dutch main water systems face pressing environmental, economic and societal challenges due to climatic changes and increased human pressure. There is a growing awareness that nature-based solutions (NBS) provide cost-effective solutions that simultaneously provide environmental, social and economic benefits and help building resilience. In spite of being carefully designed and tested, many projects tend to fail along the way or never get implemented in the first place, wasting resources and undermining trust and confidence of practitioners in NBS. Why do so many projects lose momentum even after a proof of concept is delivered? Usually, failure can be attributed to a combination of eroding political will, societal opposition and economic uncertainties. While ecological and geological processes are often well understood, there is almost no understanding around societal and economic processes related to NBS. Therefore, there is an urgent need to carefully evaluate the societal, economic, and ecological impacts and to identify design principles fostering societal support and economic viability of NBS. We address these critical knowledge gaps in this research proposal, using the largest river restoration project of the Netherlands, the Border Meuse (Grensmaas), as a Living Lab. With a transdisciplinary consortium, stakeholders have a key role a recipient and provider of information, where the broader public is involved through citizen science. Our research is scientifically innovative by using mixed methods, combining novel qualitative methods (e.g. continuous participatory narrative inquiry) and quantitative methods (e.g. economic choice experiments to elicit tradeoffs and risk preferences, agent-based modeling). The ultimate aim is to create an integral learning environment (workbench) as a decision support tool for NBS. The workbench gathers data, prepares and verifies data sets, to help stakeholders (companies, government agencies, NGOs) to quantify impacts and visualize tradeoffs of decisions regarding NBS.
