12 pages., Digitalization is a key enabler of sustainable development of cities’ socio-economic dynamics with the potential to foster climate-friendly urban environments and societies. The advent of the 4th industrial revolution has seen the increased application of digitalization in several fields and at different levels. High-tech digital devices, platforms and environments are increasingly being deployed to enhance productivity, efficiency and sustainability, and improve overall well-being of urban dwellers. Digitalization is projected to further impact cities in future, transform jobs and trigger life-style changes with far-reaching impacts that will ultimately affect cities’ resilience and adaptation capacities. While a growing body of research has highlighted the significance of digitalization to climate change mitigation such as reducing GHG and CO2 emissions, comprehensive evaluations of the potentials of digitalization as an enabler of climate change adaptation remain scarce. This paper addresses this gap by analysing the current trend in digital revolution in relation to climate change adaptation and examines the likely challenges of digitalization. A desk research method was adopted, focusing on core digitalization concepts driving the Fourth Industrial Revolution (IR 4.0). Nine case studies in cities across various continents were selected to assess the potentials of digitalization in addressing climatic hazards and to highlight benefits from implementing digitalization, while considering the social-ecological-technological challenges and tensions around IR 4.0. Our findings reveal the capabilities of digitalization in supporting more effective early warning and emergency response systems, enhancing food and water security, improving power infrastructure performance, enabling citizen engagement and participatory adaptation measures and minimizing the impacts of climatic hazards. Finally, we recommend feasible pathways to overcome present risks and challenges in order to optimize the numerous opportunities offered by digitalization in support of climate change adaptation initiatives.
Agricultural Communications Documentation Center, Funk Library, University of Illinois Document Number: D08912
Notes:
Pages 60-79 in Koteyko, Nelya Nerlich, Brigitte Hellsten, Iina (eds.), Climate change communication and the internet. United Kingdom: Routledge, Abingdon, Oxon, England. 217 pages.
Agricultural Communications Documentation Center, Funk Library, University of Illinois Document Number: D08863
Notes:
Pages 15-35 in Ormrod, James S. (ed.), Changing our environment, changing ourselves: nature, labour, knowledge and alienation. United Kingdom: Palgrave Macmillan UK, London. 315 pages.
24 pages, In this work, an exhaustive revision is given of the literature associated with advanced information and communication technologies in agriculture within a window of 25 years using bibliometric tools enabled to detect of the main actors, structure, and dynamics in the scientific papers. The main findings are a trend of growth in the dynamics of publications associated with advanced information and communication technologies in agriculture productivity. Another assertion is that countries, like the USA, China, and Brazil, stand out in many publications due to allocating more resources to research, development, and agricultural productivity. In addition, the collaboration networks between countries are frequently in regions with closer cultural and idiomatic ties; additionally, terms’ occurrence are obtained with Louvain algorithm predominating four clusters: precision agriculture, smart agriculture, remote sensing, and climate smart agriculture. Finally, the thematic-map characterization with Callon’s density and centrality is applied in three periods. The first period of thematic analysis shows a transition in detecting the variability of a nutrient, such as nitrogen, through the help of immature georeferenced techniques, towards greater remote sensing involvement. In the transition from the second to the third stage, the maturation of technologies, such as unmanned aerial vehicles, wireless sensor networks, and the machine learning area, is observed