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Smart specialization and place leadership: dreaming about shared visions, falling into policy traps?
Regional Studies, Regional Science, 2018 The concept of smart specialization has rapidly acquired a central position in European policy and academic circles. It raises interesting challenges for the regional studies agenda.
Markku Sotarauta
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Challenges for social policy and health policy in a shared economy [PDF]
SHS Web of Conferences, 2020 The rapid and unrestrained growth of the shared economy segment surprised the legislators, theorists and scientists in labour law. The enormous development of the shared economy and digital platforms surprised many areas of social science that were ...
Nováková Mária +2 more
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Transportation Research Part A: Policy and Practice, 2023 Shared-e-scooters are being introduced in cities worldwide, with their introduction often being distant from the actual service characteristics understanding, potential benefits, and threats realization.
Mohamed Abouelela +2 more
semanticscholar +1 more source
Ontological Holism Without Mental Holism
Journal of Social Ontology, 2023 In his recent book Shared and Institutional Agency, Bratman (2022) argues that institutional agents consist of social rules of procedure. Those rules are policies that are shared among many of their members.
Frank Hindriks
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Implementation Science, 2021 Background Involving patients in their healthcare using shared decision-making (SDM) is promoted through policy and research, yet its implementation in routine practice remains slow. Research into SDM has stemmed from primary and secondary care contexts,
Alex Waddell +3 more
semanticscholar +1 more source
Sustainability, 2021 Shared e-scooters refer to a micro-mobility service that enables the short rentals of e-scooters. The rapid growth of e-scooter sharing has sparked a heated discussion about its role in the urban mobility sector. This article presents a systematic review
Alberica Bozzi, Anne Aguiléra
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Meta Reinforcement Learning with Task Embedding and Shared Policy [PDF]
International Joint Conference on Artificial Intelligence, 2019 Despite significant progress, deep reinforcement learning (RL) suffers from data-inefficiency and limited generalization. Recent efforts apply meta-learning to learn a meta-learner from a set of RL tasks such that a novel but related task could be solved
Lin Lan, Zhenguo Li, X. Guan, P. Wang
semanticscholar +1 more source
Determinants of shared moped mode choice
Journal of Urban Mobility, 2023 A plethora of shared fleet services have been introduced in cities worldwide. Despite their increased presence in urban areas, it is insofar unknown what are the main determinants of travellers’ choices between the usage of shared-mopeds and cars and ...
Eveline Loudon +3 more
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Residual Policy Learning for Shared Autonomy [PDF]
Robotics: Science and Systems, 2020 Shared autonomy provides an effective framework for human-robot collaboration that takes advantage of the complementary strengths of humans and robots to achieve common goals.
Charles B. Schaff, Matthew R. Walter
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Frontiers in Public Health, 2023 ObjectiveTo identify policy actions that may improve the interface of public health and health care in the United States.MethodsA rapid review of publicly-available documents informing the integration of public health and health care, and case examples ...
Jennifer S. Lin +4 more
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