The paper discusses the growing importance of urban freight research given the increasing urban population trends. The complexity of urban freight systems means that it is essential for the public and private sectors to work together - one way to achieve this has been through freight partnerships. A short review of freight partnerships highlights the way in which they have fostered mutual understanding among urban freight stakeholders. The literature on shared situational awareness (SSA) and joint knowledge production (JKP) has been adapted to position freight partnerships and to further develop and link these partnerships to the concept of a living laboratory concerned with urban freight transport. This novel application of the living lab concept is introduced. Next, the first phases of a city logistics living lab brought in practice in Rotterdam are shortly mentioned. The living lab concept fits the complexities of the urban freight system well and has been a cornerstone of a recently started major freight project in the EU (CITYLAB). © 2016 Published by Elsevier B.V.
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The field of city logistics can be characterized by its many local demonstrations and trials, that are quite often not lasting longer than the trial period. The number of demonstrations that continued and were implemented in daily practice is limited. Freight partnerships proved to be a good first step to engage stakeholders. This contribution proposes a new way to develop a more action-driven form of these partnerships that follows from a solution approach, which has proved successful worldwide in fostering innovation deployment, but has not yet been applied explicitly in the domain of City Logistics: Living Labs. The living lab approach ensures that the stakeholders are involved much earlier in the in planning and implementation processes, and that the proposed city logistics implementation is revised and continuously improved to meet stakeholder needs and obtain maximum impact for a long time. This contribution summarizes the steps that have to be taken to set-up and work in a city logistics living lab (CLLL). A CLLL can be defined as a dynamic test environment where complex city logistics innovations can be implemented, following a cyclical approach, where several solutions can be experimented and re-adjusted or improved to fit the real-life city challenges. In the Horizon 2020 project CITYLAB, we developed practical guidelines for establishing and running a city logistics living lab based on several living lab- and field test methodologies that enables stakeholders to set-up and run a CLLL. This contribution discusses the most important CLLL phases, roles, and characteristics, as well as the tools that are available. Next, this contribution shows the first results of cities in which CLLLs are actually set up, or already running. © 2016 The Authors.
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Talking and discussing with many partners during the way has brought us to the most original meaning of Teaching as ‘fostering learning’. The present Teaching case is the result of all those discussions and considerations united by the convincement that doing research is an essential part of that just mentioned fostering learning. Besides a Case to work on, the current Teaching Case includes a series of guidelines plus a body of thoughts and considerations to be taken into account when conducting research on places in all their complexity. In the endwe have all agreed on the importance of becoming more knowledgeable and better informed. It all implies a commitment to do so!The MAGE Case illustrated in this Teaching Case compilation has been mainly the product of an already existing interest in learning more about specific areas in our cities, often the areas in which new venues of our universities have been built. Working with partners in real life cases we experienced an increasingly sense of being part of the whole. We stopped calling the companies and institutions we were working with as potential ‘clients’ and started to build on a partnership’s cooperation narrative. Next steps in this trajectory have been to take the time to better establish the implications of seriously adopting this partnership narrative as a way of working together in research and education. In this sense, it has been indispensable to review terms such as co-creation, design thinking or teaching case and to come to grips by incorporating them as concepts in a case glossary.In terms of context, it is relevant to know that the current IMAGE Case as described in these pages has been elaborated in three different editions during the academic years 2020-2021 and 2021-2022. In each edition, we have been working with an international intercity cooperation from and within the cities of (in alphabetical order) Amsterdam, Barcelona, Lisbon, Paris and Vienna. The different schools and faculties are all part of higher education institutions in the cooperating cities and have a location in the focus areas of the case. Our districts and neighborhoods in the partner cities: Amsterdam -Zuidoost-; Barcelona -El Raval-; Lisbon -Carnide-; Paris -La Defènse-; Vienna -St. Marx-. During these two years we have been working together with students coursing different subjects and mostly in the bachelor courses. Lecturers and all kind of local partners have been closely involved in the process of making the case happen. The case description in this compilation shows intentionally the dates of the 3rd edition that took place in the second semester 2021-2022. This last edition helped to improve and re-see the Case after a period of lockdowns because of covid-19 pandemic regulations. Operating between the specific years of 2020-2022 has been an extraordinary experience in the literal sense of the word. The Covid-19 pandemic became an exceptional situation even for online intercity cooperation at a distance. Despite the longer experience built on online working together at a distance with international partners, the truly limitation of offline face-to face meetings at all levels, together with the experiences of being ill and even losing loved ones, has obviously had an impact. In terms of conducting research and collecting first-handdata, the restrictions have been clearly visible as well. Looking at the footage elaborated by the different students’ teams during the first and second edition one sees at once the emptiness of the streets, to name an example. The trigger for the current Case IMAGE Researching the City Mapping Imaginaries was mainly born from the increasing awareness that our look at cities' reputations (and at the reputations of areas within cities) could use a more diverse lens. Without denying the relevance of by now referential iconic places, there is a need to go beyond the already established and towards a new positioning for cities to capture a broader and more substantiated city map-- a map which contributes to seeing beyond the obvious towards the less generally known.This need is urgent. Even before Covid-19 pandemic and the cost of living crisis, many European cities were facing various challenges from mass tourism, to gentrification and decreasing livability in some urban areas. Despite city campaigns, which insist on spreading residents and visitors through all over our cities, cities tend themselves to concentrate attention, and investments, in areas that are already considered referential. But the crux is then, why not extend our view on how reputations and attention is built and really contribute to a more informed city mapping including a larger diversity of areas and centres of interest? Or as some creative entrepreneurs have put it: Instead of everybody aiming to be in a place that is already successful, wouldn't it be better to find new ways of making more places successful? (Bures, 2012b, 2012a)
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Many lithographically created optical components, such as photonic crystals, require the creation of periodically repeated structures [1]. The optical properties depend critically on the consistency of the shape and periodicity of the repeated structure. At the same time, the structure and its period may be similar to, or substantially below that of the optical diffraction limit, making inspection with optical microscopy difficult. Inspection tools must be able to scan an entire wafer (300 mm diameter), and identify wafers that fail to meet specifications rapidly. However, high resolution, and high throughput are often difficult to achieve simultaneously, and a compromise must be made. TeraNova is developing an optical inspection tool that can rapidly image features on wafers. Their product relies on (a) knowledge of what the features should be, and (b) a detailed and accurate model of light diffraction from the wafer surface. This combination allows deviations from features to be identified by modifying the model of the surface features until the calculated diffraction pattern matches the observed pattern. This form of microscopy—known as Fourier microscopy—has the potential to be very rapid and highly accurate. However, the solver, which calculates the wafer features from the diffraction pattern, must be very rapid and precise. To achieve this, a hardware solver will be implemented. The hardware solver must be combined with mechatronic tracking of the absolute wafer position, requiring the automatic identification of fiduciary markers. Finally, the problem of computer obsolescence in instrumentation (resulting in security weaknesses) will also be addressed by combining the digital hardware and software into a system-on-a-chip (SoC) to provide a powerful, yet secure operating environment for the microscope software.
Developing and realizing an innovative concept for the Active Aging campus in two years, where students, teachers, companies, residents of surrounding Campus neighborhoods will be invited to do exercise, sports, play, meet and participate. This includes, on the one hand, providing input with regard to a mobility-friendly design from an infrastructural perspective and, on the other hand, organizing activities that contribute to Healthy Aeging of the Zernike site and the city of Groningen. It is not only about having an Active Aging campus with an iconic image, but also about the process. In the process of realization, students, teachers, researchers, companies and residents from surrounding districts will be explicitly involved. This includes hardware (physical environment / infrastructure), software (social environment) and orgware (interaction between the two).
The IMPULS-2020 project DIGIREAL (BUas, 2021) aims to significantly strengthen BUAS’ Research and Development (R&D) on Digital Realities for the benefit of innovation in our sectoral industries. The project will furthermore help BUas to position itself in the emerging innovation ecosystems on Human Interaction, AI and Interactive Technologies. The pandemic has had a tremendous negative impact on BUas industrial sectors of research: Tourism, Leisure and Events, Hospitality and Facility, Built Environment and Logistics. Our partner industries are in great need of innovative responses to the crises. Data, AI combined with Interactive and Immersive Technologies (Games, VR/AR) can provide a partial solution, in line with the key-enabling technologies of the Smart Industry agenda. DIGIREAL builds upon our well-established expertise and capacity in entertainment and serious games and digital media (VR/AR). It furthermore strengthens our initial plans to venture into Data and Applied AI. Digital Realities offer great opportunities for sectoral industry research and innovation, such as experience measurement in Leisure and Hospitality, data-driven decision-making for (sustainable) tourism, geo-data simulations for Logistics and Digital Twins for Spatial Planning. Although BUas already has successful R&D projects in these areas, the synergy can and should significantly be improved. We propose a coherent one-year Impuls funded package to develop (in 2021): 1. A multi-year R&D program on Digital Realities, that leads to, 2. Strategic R&D proposals, in particular a SPRONG/sleuteltechnologie proposal; 3. Partnerships in the regional and national innovation ecosystem, in particular Mind Labs and Data Development Lab (DDL); 4. A shared Digital Realities Lab infrastructure, in particular hardware/software/peopleware for Augmented and Mixed Reality; 5. Leadership, support and operational capacity to achieve and support the above. The proposal presents a work program and management structure, with external partners in an advisory role.
