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Resilience, Crisis and Innovation Dynamics
Resilience has emerged as a recurrent notion to explain how territorial socio-economic systems adapt successfully (or not) to negative events. In this book, the authors use resilience as a bridging notion to connect different types of theoretical and empirical approaches to help understand the impacts of economic turbulence at the system and actor levels. The book provides a unique overview of the financial crisis and the important dimension of innovation dynamics for regional resilience. It also offers an engaging debate as to how regional resilience can be improved and explores the social aspects of vulnerability, resilience and innovation.
Resilient Territories
The capacity to adapt to external shocks, to resist negative impacts and to evolve to new socio-technical regimes has been increasingly studied in recent years by regional scientists in order to understand the dynamic conditions that create a “resilient territory”. Resilience is a notion imported from the study of ecological systems and other fields of science to the understanding of geographically embedded socio-economic systems. It is a characteristic often connected to a threshold of the socio-economic variety and specialization that facilitates the smooth adaptation to challenges in particular territories. As a result of recent crises, a number of regions are now further investigatin...
Resilience and Regional Dynamics
Economic and financial crises have brought the rise of unemployment, reduction of economic growth and emergence of global imbalances and tensions as countries and regions have suffered the effects of a variety of internal and external shocks. In this context of constant disruption, the scientific community has struggled to provide satisfactory answers to current economic challenges within standard frameworks. Focusing on the interconnections between innovation and resilience, this edited book contributes to a better understanding of how the crisis affects innovation and the capacity of territories to adapt and evolve. It offers both theoretical and empirical contributions that debate the notions of resilience in regional and urban contexts and serve as case studies related to innovation strategies and territorial clusters.
Computational Processing of the Portuguese Language
This book constitutes the proceedings of the 15th International Conference on Computational Processing of the Portuguese Language, PROPOR 2021, held in Fortaleza, Brazil, in March 2021. The 36 full papers presented together with 4 short papers were carefully reviewed and selected from 88 submissions. They are grouped in topical sections on speech processing; resources and evaluation; natural language processing applications; semantics; natural language processing tasks; and multilinguality.
Robot 2019: Fourth Iberian Robotics Conference
This book gathers a selection of papers presented at ROBOT 2019 – the Fourth Iberian Robotics Conference, held in Porto, Portugal, on November 20th–22nd, 2019. ROBOT 2019 is part of a series of conferences jointly organized by the SPR – Sociedade Portuguesa de Robótica (Portuguese Society for Robotics) and SEIDROB – Sociedad Española para la Investigación y Desarrollo en Robótica (Spanish Society for Research and Development in Robotics). ROBOT 2019 built upon several previous successful events, including three biannual workshops and the three previous installments of the Iberian Robotics Conference, and chiefly focused on presenting the latest findings and applications in robotics from the Iberian Peninsula, although the event was also open to research and researchers from other countries. The event featured five plenary talks on state-of-the-art topics and 16 special sessions, plus a main/general robotics track. In total, after a stringent review process, 112 high-quality papers written by authors from 24 countries were selected for publication.
Knowledge Commercialization and Valorization in Regional Economic Development
The commercialization of academic knowledge is increasingly seen as a potential economic development model, particularly for improving the capabilities and economic performance of regions. This insightful volume investigates the emerging factors in knowledge commercialization from an international perspective and highlights research agendas and challenges to be met across academia, industry and government. The expert contributors focus specifically on the new role of universities in regional economic development through knowledge commercialization, as well as university-industry interaction and the factors that influence knowledge and technology transfer. They explore Ôknowledge commercializationÕ in the US, Ôknowledge valorizationÕ in Europe, and technology transfer dynamics in China. A forum for discussion of whether, why, and how commercialization and valorization of knowledge can lead to higher levels of innovation and economic development from an international perspective is also provided. This thought-provoking book will prove a stimulating read for academics, students and researchers with an interest in regional economics, regional studies and knowledge management.
Advanced Research in Technologies, Information, Innovation and Sustainability
The two-volume Proceedings set CCIS 1675 and 1676 constitutes the refereed proceedings of the Second International Conference, ARTIIS 2022, held in Santiago de Compostela, Spain, during September 12–15, 2022. The 72 papers included in these proceedings were carefully reviewed and selected from 191 submissions. These papers were categorized into 2 technical tracks, i.e., Computing Solutions and Data Intelligence.
Social Innovation and Entrepreneurship in the Fourth Sector
“The fourth sector” consists of for-benefit organizations that combine market-based approaches of the private sector with the social and environmental aims of the public and non-profit sectors. This book examines successful experiences around the world in entrepreneurship in the fourth sector in recent times. The chapters also reveal the pivotal role of the public sector collaboration with private entities in solving the problems of humanity.
Artificial General Intelligence 2008
The field of Artificial Intelligence (AI) was initially directly aimed at the construction of ‘thinking machines’ – that is, computer systems with human-like general intelligence. But this task proved more difficult than expected. As the years passed, AI researchers gradually shifted focus to producing AI systems that intelligently approached specific tasks in relatively narrow domains. In recent years, however, more and more AI researchers have recognized the necessity – and the feasibility – of returning to the original goal of the field. Increasingly, there is a call to focus less on highly specialized ‘narrow AI’ problem solving systems, and more on confronting the difficul...
