"The World of the [open] innovator" described the background of the revolution we are in in innovation and what the consequences are for innovation, changing towards design driven open innovation. We reframed innovation to meet new needs and values of companies and organizations in our work field. We do not take this light-hearted. We know the field of innovation and used our experience and conversation with stakeholders to come up with the insight of The [open] Innovator. What strengthened us were reactions from companies and organization we asked to cocreate or participate. There seemed to be an instant recognition and appeal to our vision and approach. But we also realize that we are in the stage of prototyping and we need you, as our lead users to be critical, yet to trust us. You, being an [open] innovator, will do great wonders, because you will be taught to deal with this uncertainty and dig in new, unknown situations or problems. You will learn the tools for research, for communication, for visualization. You will become a cooperative, open-minded problem solver. You will be able - with all the skills and tools we will provide you - to make the difference. But we need you to reflect upon your progress and needs; help us to get an insight in to your uncertainties, values and unmet needs, to enable us to improve our thinking and teaching. However, innovation can only be learned by doing! Start cracking, start experimenting, start having fun. Welcome to the future, that has just started.
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The aim of this research/project is to investigate and analyze the opportunities and challenges of implementing AI technologies in general and in the transport and logistics sectors. Also, the potential impacts of AI at sectoral, regional, and societal scales that can be identified and chan- neled, in the field of transport and logistics sectors, are investigated. Special attention will be given to the importance and significance of AI adoption in the development of sustainable transport and logistics activities using intelligent and autonomous transport and cleaner transport modalities. The emphasis here is therefore on the pursuit of ‘zero emissions’ in transport and logistics at the urban/city and regional levels.Another goal of this study is to examine a new path for follow-up research topics related to the economic and societal impacts of AI technology and the adoption of AI systems at organizational and sectoral levels.This report is based on an exploratory/descriptive analysis and focuses mainly on the examination of existing literature and (empirical) scientific research publica- tions, previous and ongoing AI initiatives and projects (use cases), policy documents, etc., especially in the fields of transport and logistics in the Netherlands. It presents and discusses many aspects of existing challenges and opportunities that face organizations, activities, and individuals when adopting AI technology and systems.
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The project X-TEAM D2D (Extended ATM for Door-to-Door Travel) has been funded by SESAR JU in 2020 and completed its activities in 2022, pursuing and accomplishing the definition, development and initial assessment of a Concept of Operations (ConOps) for the seamless integration of ATM and air transport into an overall intermodal network, including other available transportation means (surface, water), to support the door-to-door connectivity, in up to 4 hours, between any location in Europe. The project addressed the ATM and air transport, including Urban Air Mobility (UAM), integration in the overall transport network serving urban and extended urban (up to regional level) mobility, specifically identifying and considering the transportation and passengers service scenarios expected for the near, medium and long-term future, i.e. for the project baseline (2025), intermediate (2035) and final (2050) time horizons. In this paper, the main outcomes from the project activities are summarized, with particular emphasis on the studies about the definition of future scenarios and use cases for the integration of the vertical transport with the surface transport towards integrated intermodal transport system and about identification of the barriers towards this goal. In addition, an outline is provided on the specific ConOps for the integration of ATM in intermodal transport infrastructure (i.e. the part of the overall ConOps devoted to integration of different transportation means) and on the specific ConOps for the integration of ATM in intermodal service to passengers (i.e. the specific component of the ConOps devoted to design of a unique service to passengers). Finally, the main outcomes are summarized from the validation of the proposed ConOps through dedicated simulations.
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