Archives are, more than ever, organizational and technological constructs, based on organizational demands, desires, and considerations influencing configuration, management, appraisal, and preservation. For that reason, they are, more than ever, distortions of reality, offering biased (and/or manipulated) images of the past and present an extremely simplified mirror of social reality. The information objects within that archive are (again: more than ever), fragile, manipulable, of disputable provenance, doubtful context, and uncertain quality. Their authenticity is in jeopardy.The “Allure of Digital Archives” will be more about finding knowledge about the archive as a whole than about finding knowledge hidden in the information objects that are its constituents. It will be about determining the value of a digital archive as a “trusted” resource for historical research. To be successful in that endeavour, it will be necessary to assess the possibility to “reconstruct the past” of the digital archive. That assessment would allow historians to understand quality, provenance, context, content, and accessibility of the digital archive, not only in its design stage but also in its life cycle.In this chapter, I present the theoretical framework of the “Archive–as–Is” as an instrument for such an assessment. It is possible for historians to use this framework as a declarative model for the way archives have been designed, configured, managed, and maintained. It will allow historians to understand why archives are as they are, and why records are part of it (or not). Using the framework, historians can determine the research value of a digital archive as a historical resource.
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Technological developments go fast and are interrelated and multi-interpretable. As consumer needs change, the technological possibilities to meet those needs are constantly evolving and new technology providers introduce new disruptive business models. This makes it difficult to predict what the world of tomorrow will look like for an organization and that makes the risks for organizations substantial. In this context, it is difficult for organizations to determine what constitutes a good strategy to adopt digital developments. This paper describes a first step of a study with the objective to design a method for organizations to formulate a future-proof strategy in a rapidly changing, complex and ambiguous context. More specifically, this paper describes the results of a sequence of three focus groups that were held with a group of eight experts, with extensive experience as members of the decision making unit in organizations. The objectives of these sessions were to determine possible solutions for the outlined challenge in order to provide direction for continuation and scoping of the following research phases.
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Hoe kan Digital Twin-technologie de Nederlandse maakindustrie helpen om efficiënt energiezuinig en circulair te werken? Met praktijkgericht onderzoek helpt het lectoraat Industriële Digital Twins van de Hogeschool van Amsterdam (HvA) bedrijven om CO2-neutraal te worden en daarmee internaal competitief te blijven.
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Artificial Intelligence (AI) wordt realiteit. Slimme ICT-producten die diensten op maat leveren accelereren de digitalisering van de maatschappij. De grote innovaties van de komende jaren –zelfrijdende auto’s, spraakgestuurde virtuele assistenten, autodiagnose systemen, robots die autonoom complexe taken uitvoeren – zijn datagedreven en hebben een AI-component. Dit gaat de rol van professionals in alle domeinen, gezondheidzorg, bouwsector, financiële dienstverlening, maakindustrie, journalistiek, rechtspraak, etc., raken. ICT is niet meer volgend en ondersteunend (een ‘enabling’ technologie), maar de motor die de transformatie van de samenleving in gang zet. Grote bedrijven, overheidsinstanties, het MKB, en de vele startups in de Brainport regio zijn innovatieve datagedreven scenario’s volop aan het verkennen. Dit wordt nog eens versterkt door de democratisering van AI; machine learning en deep learning algoritmes zijn beschikbaar zowel in open source software als in Cloud oplossingen en zijn daarmee toegankelijk voor iedereen. Data science wordt ‘applied’ en verschuift van een PhD specialisme naar een HBO-vaardigheid. Het stadium waarin veel bedrijven nu verkeren is te omschrijven als: “Help, mijn AI-pilot is succesvol. Wat nu?” Deze aanvraag richt zich op het succesvol implementeren van AI binnen de context van softwareontwikkeling. De onderzoeksvraag van dit voorstel is: “Hoe kunnen we state-of-the-art data science methoden en technieken waardevol en verantwoord toepassen ten behoeve van deze slimme lerende ICT-producten?” De postdoc gaat fungeren als een linking pin tussen alle onderzoeksprojecten en opdrachten waarbij studenten ICT-producten met AI (machine learning, deep learning) ontwikkelen voor opdrachtgevers uit de praktijk. Door mee te kijken en mee te denken met de studenten kan de postdoc overzicht en inzicht creëren over alle cases heen. Als er overzicht is kan er daarna ook gestuurd worden op de uit te voeren cases om verschillende deelaspecten samen met de studenten te onderzoeken. Deliverables zijn rapporten, guidelines en frameworks voor praktijk en onderwijs, peer-reviewed artikelen en kennisdelingsevents.
In order to achieve much-needed transitions in energy and health, systemic changes are required that are firmly based on the principles of regard for others and community values, while at the same time operating in market conditions. Social entrepreneurship and community entrepreneurship (SCE) hold the promise to catalyze such transitions, as they combine bottom-up social initiatives with a focus on financially viable business models. SCE requires a facilitating ecosystem in order to be able to fully realize its potential. As yet it is unclear in which way the entrepreneurial ecosystem for social and community entrepreneurship facilitates or hinders the flourishing and scaling of such entrepreneurship. It is also unclear how exactly entrepreneurs and stakeholders influence their ecosystem to become more facilitative. This research programme addresses these questions. Conceptually it integrates entrepreneurial ecosystem frameworks with upcoming theories on civic wealth creation, collaborative governance, participative learning and collective action frameworks.This multidisciplinary research project capitalizes on a unique consortium: the Dutch City Deal ‘Impact Ondernemen’. In this collaborative research, we enhance and expand current data collection efforts and adopt a living-lab setting centered on nine local and regional cases for collaborative learning through experimenting with innovative financial and business models. We develop meaningful, participatory design and evaluation methods and state-of-the-art digital tools to increase the effectiveness of impact measurement and management. Educational modules for professionals are developed to boost the abovementioned transition. The project’s learnings on mechanisms and processes can easily be adapted and translated to a broad range of impact areas.
DISCO aims at fast-tracking upscaling to new generation of urban logistics and smart planning unblocking the transition to decarbonised and digital cities, delivering innovative frameworks and tools, Physical Internet (PI) inspired. To this scope, DISCO will deploy and demonstrate innovative and inclusive urban logistics and planning solutions for dynamic space re-allocation integrating urban freight at local level, within efficiently operated network-of-networks (PI) where the nodes and infrastructure are fixed and mobile based on throughput demands. Solutions are co-designed with the urban logistics community – e.g., cities, logistics service providers, retailers, real estate/public and private infrastructure owners, fleet owners, transport operators, research community, civil society - all together moving a paradigm change from sprawl to data driven, zero-emission and nearby-delivery-based models.
