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Art Work: Cities, Identities, and Cultural Work
by Matthew J. DureyThis book is about the relationship between art and work in the cultural economy. It is an exploration of the experiences of people working in cultural and creative industries, and of the importance of place, identity, and culture in postindustrial society. Drawing on fieldwork exploring the conditions of cultural work, identity, and postindustrial cities in Newcastle upon Tyne, UK and Hamburg, Germany, the book argues that the conditions of work in the cultural economy are the result of a contradictory tension between art and economy, which manifests in various ways in artists’ conditions of work, their identities, and their relationship to the changing landscapes of postindustrial cities. This is explored through a series of stories from people working in cultural and creative industries, in which they highlight significant contradictions, obstacles, and opportunities in negotiating the cultural economy, casting light on the importance of art and culture in postindustrial society.
Artful Rainwater Design: Connecting Theory, Practice, And Possibilities
by Stuart Echols Eliza PennypackerStormwater management as art? Absolutely. Rain is a resource that should be valued and celebrated, not merely treated as an urban design problem--and yet, traditional stormwater treatment methods often range from ugly to forgettable. Artful Rainwater Design shows that it's possible to effectively manage runoff while also creating inviting, attractive landscapes. This beautifully illustrated, comprehensive guide explains how to design creative, yet practical, landscapes that treat on-site stormwater management as an opportunity to enhance site design. Artful Rainwater Design has three main parts: first, the book outlines five amenity-focused goals that might be highlighted in a project: education, recreation, safety, public relations, and aesthetic appeal. Next, it focuses on techniques for ecologically sustainable stormwater management that complement the amenity goals. Finally, it features diverse case studies that show how designers around the country are implementing principles of artful rainwater design. Artful Rainwater Design is a must-have resource for landscape architects, urban designers, civil engineers, and architects who won't let stormwater regulations cramp their style, and who understand that for a design to truly be sustainable, people must appreciate and love it. It is a tool for creating landscapes that celebrate rain for the life-giving resource it is--and contribute to more sustainable, healthy, and even fun, built environments.
Arthropod Management and Landscape Considerations in Large-Scale Agroecosystems
by Matthew O'Neal Steven E. Naranjo Ian MacRae Kristopher L Giles Tom Royer Peter C Ellsworth Kristen Baum Mahendra Bhandari Haley Butler Hannalene Du Plessis Norman C. Elliott Sarah Elzay Isaac L. Esquivel Ashleigh M. Faris Aaron J. Gassmann Maura Hall Louis S. Hesler Anders S. Huseth William D. Hutchison Robert L. Meagher Jr Lance J. Meinke Shannon L. Osborne Pankaj Pal Katherine A. Parys Dominic Reisig Nina Rudin Thomas W. Sappington Gregory A. Sword Ashley E. Tessnow Paul A. Umina Johnnie Van BergFor large-scale agroecosystems, patterns of pest population increases (graded increases or abrupt outbreaks) and declines (graded suppression or abrupt crashes) vary considerably and are influenced by factors within crop fields and across broader landscape scales. Better understanding of pest population dynamics and the implications of spatial interactions on the function and development of pest management approaches are the main themes of this important book. The book builds from a 60+ year history of field-based pest management by focusing on the drivers of pest management in large-scale agroecosystems and the landscape-scale processes that affect these drivers and contribute to variation in pest outbreaks and suppression. These drivers include abiotic and biotic influences such as weather, spatial composition and arrangement of landscape elements, and widely applied managed inputs such as planting and crop rotation schedules, crop varietal selection, and land and soil conservation efforts. The book introduces general concepts, opportunities, and challenges of arthropod management in large-scale agroecosystems. Case studies from major field crop-based agroecosystems are used to present research approaches and improve understanding and management of pest and beneficial insects in large-scale agroecosystems. Specific research findings are provided on multi-trophic interactions within the system as influenced by climate, landscape, and other ecological, agricultural, and social/economic components of the agroecosystem. The book concludes with a synthesis of these concepts and prospectus for future research and developments in arthropod management in large-scale, plant-based agroecosystems. The book is essential reading for researchers in applied entomology and ecology and for pest management practitioners.
Artificial Intelligence and Blockchain for Social Impact: Social Business Models and Impact Finance
by Wolfgang Spiess-KnaflArtificial Intelligence and Blockchain for Social Impact provides an accessible overview of artificial intelligence (AI) and blockchain technologies, and explores their applications for social enterprise and impact investing. The opening chapter introduces the impact space, exploring different social business models, the role of technology, the impact investing market and general problems in the space. The remainder of this book falls into two paths: the first focusing on AI and the other looking at the blockchain technology. Providing introductions to each of these technologies and their histories, the author goes on to examine them from the perspectives of social business models and impact finance. A concluding chapter explores AI and cryptocurrencies in the impact space in the future. Readers are supported with international case studies and other student-friendly features. Situated at the intersection between technology, fintech, social enterprise, impact investing and social impact, this book is a valuable resource for upper-level courses across all these areas. It also offers an introduction to this emerging topic for researchers and business professionals. Online teaching resources to accompany this book include instructor lecture slides and data sets.
Artificial Intelligence and Edge Computing for Sustainable Ocean Health (The Springer Series in Applied Machine Learning)
by Debashis De Diganta Sengupta Tien Anh TranArtificial Intelligence and Edge Computing for Sustainable Ocean Health explores the transformative role of AI and edge computing in preserving and enhancing ocean health. The growing influence of Artificial Intelligence (AI), along with the Internet of Things (IoT) in generating wide coverage of sensor networks, and Edge Computing (EC) has paved the way for investigation of underwater as well as massive marine data, thereby generating huge potential for credible research opportunities for these domains. This book’s journey begins with a broad overview of Artificial Intelligence for Sustainable Ocean Health, setting the foundation for understanding AI's potential in marine conservation. The subsequent chapter, Role of Artificial Intelligence and Technologies in Improving Ocean Health in Promoting Tourism, illustrates the synergy between technological advancements and sustainable tourism practices, demonstrating how AI can enhance the attractiveness and preservation of marine destinations. The identification, restoration, and monitoring of marine resources along with the utilization of technology continues in Utilization of Underwater Wireless Sensor Network through Supervising a Random Network Environment in the Ocean Environment has been extensively dealt with. The technical challenges of underwater imaging, essential for accurate data collection and analysis has been discussed. The importance of Explainable AI is discussed in chapters like Sustainable Development Goal 14: Explainable AI (XAI) for Ocean Health, Explainable AI (XAI) for Ocean Health: Exploring the Role of Explainable AI in Enhancing Ocean Health, and A Comprehensive Study of AI (XAI) for Ocean Health Monitoring, which emphasize transparency and trust in AI systems. Further, Revolutionizing Internet of Underwater Things with Federated Learning, Underwater Drone, Underwater Imagery with AI/ML and IoT in ROV Technology and Ocean Cleanup has been demonstrated using innovative approaches to addressing underwater challenges. The book also includes a Review on the Optics and Photonics in Environmental Sustainability, focusing on the role of optics in marine conservation. Security issues are tackled in Intelligent Hash Function Based Key-Exchange Scheme for Ocean Underwater Data Transmission, and the overarching potential of AI in marine resource management is discussed in Artificial Intelligence as Key-enabler for Safeguarding the Marine Resources.
Artificial Intelligence and Machine Learning for Sustainable Development: Innovations, Challenges, and Applications
by Pawan Whig Pavika Sharma Nagender Aneja Ahmed A. Elngar Nuno SilvaArtificial Intelligence and Machine Learning for Sustainable Development is a comprehensive exploration of how artificial intelligence (AI) and machine learning (ML) technologies are revolutionizing the field of sustainable development.The book examines cutting-edge innovations, practical applications, and potential challenges in harnessing AI and ML to address global sustainability issues. It offers insights into how these technologies can optimize resource management, improve environmental monitoring, enhance decision-making processes, and promote equitable, eco-friendly solutions. This book would be of special interest to researchers, policymakers, and practitioners seeking to leverage cutting-edge technology for a more sustainable future.
Artificial Intelligence and Smart Agriculture: Technology and Applications (Advances in Geographical and Environmental Sciences)
by Kusum Pandey N. L. Kushwaha Chaitanya B. Pande K. G. SinghAs technology continues to saturate modern society, agriculture has started to adopt digital computing and data-driven innovations. This emergence of “smart” farming has led to various advancements in the field, including autonomous equipment and the collection of climate, livestock, and plant data. As connectivity and data management continue to revolutionize the farming industry, empirical research is required to understand these technological developments. This book explores the applications of various artificial intelligence techniques by identifying and describing technical, functional, and non-functional future technologies for smart farming and agriculture. The book also presents practical application opportunities for the resolution of real-world problems, including contributions from precision irrigation, greenhouse data, livestock monitoring, automation, IoT ecosystems for agriculture, cloud computing, mobile robots for precision agriculture, remote sensing applications, anddata mining. In addition, this book provides summary information about different soilless techniques such as hydroponics, aeroponics, and aquaponics, among others. This book is ideally designed for farmers, agriculturalists, product managers, farm holders, manufacturers, equipment suppliers, industrialists, governmental professionals, researchers, academicians, and students seeking current research on technological applications within agriculture and farming.
Artificial Intelligence and Systems of the Earth
by Michel SpeiserArtificial Intelligence and Systems of the Earth is a book about the potential and capabilities of artificial intelligence (AI) and machine learning (ML) for studying the Earth. It aims to serve as an eye-opener on new avenues of scientific research that can be enabled by AI/ML. This is not meant to be a ‘how to’ book but is written to answer the question ‘what if’. It explains how these tools are currently being applied, and the new opportunities they have opened. Through many examples and application ideas from outside the Earth Sciences, the book discusses some of the most prevalent types of AI in current use, the future of AI hardware, and how AI/ML bring about change.Features Provides accessible and compact coverage on the many uses AI in Earth Science. Covers AI, deep learning, and causal modeling concepts in an easy-to-understand language. Contains a chapter on generat ive AI and its specific strengths and challenges. Includes descriptions of computer hardware for AI and where it is headed. Offers a companion website with regularly updated content. This book is an excellent resource for researchers, academics, graduate, and senior undergraduate students in Earth Science and Environmental Science and Engineering, who wish to learn how AI and ML can benefit them, its potential applications, and capabilities. The Open Access version of this book, available at http://www.taylorfrancis.com, has been made available under a Creative Commons (CC-BY) 4.0 license.
Artificial Intelligence Applications for Smart Societies: Recent Advances (Studies in Distributed Intelligence)
by Mohamed Elhoseny K. Shankar Mohamed Abdel-BassetThis volume discusses recent advances in Artificial Intelligence (AI) applications in smart, internet-connected societies, highlighting three key focus areas. The first focus is on intelligent sensing applications. This section details the integration of Wireless Sensing Networks (WSN) and the use of intelligent platforms for WSN applications in urban infrastructures, and discusses AI techniques on hardware and software systems such as machine learning, pattern recognition, expert systems, neural networks, genetic algorithms, and intelligent control in transportation and communications systems. The second focus is on AI-based Internet of Things (IoT) systems, which addresses applications in traffic management, medical health, smart homes and energy. Readers will also learn about how AI can extract useful information from Big Data in IoT systems. The third focus is on crowdsourcing (CS) and computing for smart cities. this section discusses how CS via GPS devices, GIS tools, traffic cameras, smart cards, smart phones and road deceleration devices enables citizens to collect and share data to make cities smart, and how these data can be applied to address urban issues including pollution, traffic congestion, public safety and increased energy consumption. This book will of interest to academics, researchers and students studying AI, cloud computing, IoT and crowdsourcing in urban applications.
Artificial Intelligence-Driven Geographies: Revolutionizing Urban Studies (City Development: Issues and Best Practices)
by Huhua Cao Seyed Navid MoghaddamThis groundbreaking book delves deep into the history of AI, the major techniques and algorithms of machine learning and deep learning, and the critical role of data sources and processing in these disciplines. It covers a range of AI applications in human geography, including population distribution, land use, environmental risk assessment, and socioeconomic analysis. In urban planning, the book explores AI-driven approaches to smart cities, transportation management, urban growth prediction, and sustainable development, among others. As AI continues to permeate every aspect of human life, it is essential to understand and address the ethical considerations and challenges associated with AI-driven planning. This book tackles crucial issues such as data privacy, algorithmic bias, equitable access to technology, and the future of employment in the fields of geography and urban planning. In addition, it presents inspiring case studies, highlighting successful AI applications in human geography and urban planning, and offers insights into future research directions and challenges. This book is a must-read for students, researchers, and professionals in geography, urban planning, environmental studies, and related fields. It is also an invaluable resource for policymakers and urban planners seeking to leverage the power of AI to create smarter, more sustainable, and equitable cities and communities. This book equips you with the knowledge and tools to harness the potential of AI, leading the way to a better understanding of our world and a brighter future for all.
Artificial Intelligence for Air Quality Monitoring and Prediction (AI Applications in Earth Science)
by Amit Awasthi Kanhu Charan Pattnayak Gaurav Dhiman Pushp Raj TiwariThis book is a comprehensive overview of advancements in artificial intelligence (AI) and how it can be applied in the field of air quality management. It explains the linkage between conventional approaches used in air quality monitoring and AI techniques such as data collection and preprocessing, deep learning, machine vision, natural language processing, and ensemble methods. The integration of climate models and AI enables readers to understand the relationship between air quality and climate change. Different case studies demonstrate the application of various air monitoring and prediction methodologies and their effectiveness in addressing real-world air quality challenges.Features A thorough coverage of air quality monitoring and prediction techniques. In-depth evaluation of cutting-edge AI techniques such as machine learning and deep learning. Diverse global perspectives and approaches in air quality monitoring and prediction. Practical insights and real-world case studies from different monitoring and prediction techniques. Future directions and emerging trends in AI-driven air quality monitoring. This is a great resource for professionals, researchers, and students interested in air quality management and control in the fields of environmental science and engineering, atmospheric science and meteorology, data science, and AI.
Artificial Intelligence for Scientific Discoveries: Extracting Physical Concepts from Experimental Data Using Deep Learning
by Raban ItenWill research soon be done by artificial intelligence, thereby making human researchers superfluous? This book explains modern approaches to discovering physical concepts with machine learning and elucidates their strengths and limitations. The automation of the creation of experimental setups and physical models, as well as model testing are discussed. The focus of the book is the automation of an important step of the model creation, namely finding a minimal number of natural parameters that contain sufficient information to make predictions about the considered system. The basic idea of this approach is to employ a deep learning architecture, SciNet, to model a simplified version of a physicist's reasoning process. SciNet finds the relevant physical parameters, like the mass of a particle, from experimental data and makes predictions based on the parameters found. The author demonstrates how to extract conceptual information from such parameters, e.g., Copernicus' conclusion that the solar system is heliocentric.
Artificial Intelligence for Sustainability: Innovations in Business and Financial Services
by Thomas Walker Stefan Wendt Sherif Goubran Tyler SchwartzIn light of the climate crisis, businesses are expected to embrace sustainability to reduce their negative impacts on the environment and society, while at the same time strengthening their organisations’ positive impacts. Managing this alongside the traditional requirements of business requires careful handling, and it is small wonder that some are heralding the advantages posed by artificial intelligence (AI) as the missing piece of the puzzle. This edited book aims to present a balanced discussion of the benefits and costs of using AI for the natural environment and society, including an analysis of its potential to help meet the UN’s Agenda 2030 and the Sustainable Development Goals. Researchers, practitioners, regulators, and entrepreneurs at the forefront of sustainable AI solutions share insights into the different sustainable applications of AI and highlight how these new developments may affect and contribute to our fight against climate change and address further environmental and social challenges. This volume will be of great interest to scholars and students of digital business and new technologies, sustainability, and strategy.
Artificial Intelligence in Architecture and the Built Environment: The Revolution Yet to Come
by Michal SourekImagine if every architect had an apprentice who could consistently observe and understand their intentions, take over routine tasks and monitor technical, environmental, and economic constraints. This apprentice would continually improve, freeing the architect to concentrate on truly creative work.This book outlines a plan to turn this vision into reality. It evaluates the development of artificial intelligence from its inception to the present, focusing on the last two decades of applying AI in architectural design and planning; the current state of architectural practice is also examined. Integrating architecture, computer science, AI, robotics, economics, law, neurobiology, and philosophy, the vision is built on three key premises: (i) authentic, poetic creativity that transcends parameterization and algorithmizing, (ii) innovative learning strategies and training approaches not yet applied concerning architectural design, and (iii) the convergence of architecture’s inherent spatiality with virtual reality technology and new theories of human thinking and intelligence, poised for implementation in machine learning.
Artificial Intelligence in Mechatronics and Civil Engineering: Bridging the Gap (Emerging Trends in Mechatronics)
by Ehsan Momeni Danial Jahed Armaghani Aydin AziziRecent studies highlight the application of artificial intelligence, machine learning, and simulation techniques in engineering. This book covers the successful implementation of different intelligent techniques in various areas of engineering focusing on common areas between mechatronics and civil engineering. The power of artificial intelligence and machine learning techniques in solving some examples of real-life problems in engineering is highlighted in this book. The implementation process to design the optimum intelligent models is discussed in this book.
Artificial Intelligence, Learning and Computation in Economics and Finance (Understanding Complex Systems)
by Ragupathy VenkatachalamThis book presents frontier research on the use of computational methods to model complex interactions in economics and finance. Artificial Intelligence, Machine Learning and simulations offer effective means of analyzing and learning from large as well as new types of data. These computational tools have permeated various subfields of economics, finance, and also across different schools of economic thought. Through 16 chapters written by pioneers in economics, finance, computer science, psychology, complexity and statistics/econometrics, the book introduces their original research and presents the findings they have yielded.Theoretical and empirical studies featured in this book draw on a variety of approaches such as agent-based modeling, numerical simulations, computable economics, as well as employing tools from artificial intelligence and machine learning algorithms. The use of computational approaches to perform counterfactual thought experiments are also introduced, which help transcend the limits posed by traditional mathematical and statistical tools.The book also includes discussions on methodology, epistemology, history and issues concerning prediction, validation, and inference, all of which have become pertinent with the increasing use of computational approaches in economic analysis.
Artificial Intelligence, Machine Learning, and Optimization Tools for Smart Cities: Designing for Sustainability (Springer Optimization and Its Applications #186)
by Panos M. Pardalos Stamatina Th. Rassia Arsenios TsokasThis volume offers a wealth of interdisciplinary approaches to artificial intelligence, machine learning and optimization tools, which contribute to the optimization of urban features towards forming smart, sustainable, and livable future cities.Special features include:New research on the design of city elements and smart systems with respect to new technologies and scientific thinkingDiscussions on the theoretical background that lead to smart cities for the futureNew technologies and principles of research that can promote ideas of artificial intelligence and machine learning in optimized urban environmentsThe book engages students and researchers in the subjects of artificial intelligence, machine learning, and optimization tools in smart sustainable cities as eminent international experts contribute their research results and thinking in its chapters. Overall, its audience can benefit from a variety of disciplines including, architecture, engineering, physics, mathematics, computer science, and related fields.
Artificial Intelligent Approaches in Petroleum Geosciences
by Constantin CranganuThis book presents cutting-edge approaches to solving practical problems faced by professionals in the petroleum industry and geosciences. With various state-of-the-art working examples from experienced academics, the book offers an exposure to the latest developments in intelligent methods for oil and gas research, exploration, and production. This second edition is updated with new chapters on machine learning approaches, data-driven modelling techniques, and neural networks. The book delves into machine learning approaches, including evolutionary algorithms, swarm intelligence, fuzzy logic, deep artificial neural networks, KNN, decision tree, random forest, XGBoost, and LightGBM. it also analyzes the strengths and weaknesses of each method and emphasizes essential parameters like robustness, accuracy, speed of convergence, computer time, overlearning, and normalization. Integration, data handling, risk management, and uncertainty management are all crucial issues in petroleum geosciences. The complexities of these problems require a multidisciplinary approach that fuses petroleum engineering, geology, geophysics, and geochemistry. Essentially, this book presents an approach for integrating various disciplines such as data fusion, risk reduction, and uncertainty management. Whether you are a professional or a student, you can greatly benefit from the latest advancements in intelligent methods applied to oil and gas research. This comprehensive and updated book presents cutting-edge approaches and real-world examples that can help you in solving the intricate challenges of the petroleum industry and geosciences.
Artificial or Constructed Wetlands: A Suitable Technology for Sustainable Water Management
by María del Durán-Domínguez-de-Bazúa Amado Enrique Navarro-Frómeta Josep M. BayonaArtificial or constructed wetlands are an emerging technology particularly for tropical areas with water scarcity. For big cities, the sustainable management of water resources taking into account proper use is always challenging. The book presents case studies illustrating the above. As plants and microorganisms are a fundamental part of the correct functioning of these systems, their contribution to the degradation of the organic matter and to the removal and transformation of the pollutant compounds present in the wastewaters is also a highlight of this book.
Artificial Reefs in Fisheries Management (CRC Marine Biology Series)
by Stephen A. Bortone Frederico Pereira Brandini Gianna Fabi Shinya OtakeWhile artificial reefs may have much to offer, they remain an anecdote in the greater scheme of fisheries management, primarily due to the lack of data specific to validating their use. Based on papers presented at the 9th Conference on Artificial Reefs and Artificial Habitats (CARAH) and also including original articles written for this reference,
Artificiality and Sustainability in Entrepreneurship: Exploring the Unforeseen, and Paving the Way to a Sustainable Future (FGF Studies in Small Business and Entrepreneurship)
by Richard Adams Dietmar Grichnik Asta Pundziene Christine VolkmannThis open access edited volume explores the past, present, and future of artificiality and sustainability in entrepreneurship – the unforeseen consequences and ways to advance to a sustainable future. In particular, it connects artificiality, sustainability and entrepreneurship, intertwining artificial with the specific phenomenon of those novel digital technologies that provoke continuous and significant change in our lives and business. Unlike digital entrepreneurship research, which focuses on digital technology development and management, this book covers processes and mechanisms of sustainable adaptability of entrepreneurs, the business logic of start-ups, and the collaborative behaviours under the mass digital transformation, including the prevalence of artificial intelligence. Some of the questions that this book answers are as follows: How has entrepreneurship reacted to such challenges previously? What lessons have been learned and need to be carried forward? How can entrepreneurship and the artefacts of entrepreneurship respond to current challenges? What should be the mindset of the entrepreneur to assure sustainable adaptation? How to embrace and embed the new business logic?
Artistic Approaches to Cultural Mapping: Activating Imaginaries and Means of Knowing (Routledge Research in Culture, Space and Identity)
by Nancy Duxbury W.F. Garrett-Petts Alys LongleyMaking space for imagination can shift research and community planning from a reflective stance to a "future forming" orientation and practice. Cultural mapping is an emerging discourse of collaborative, community-based inquiry and advocacy. This book looks at artistic approaches to cultural mapping, focusing on imaginative cartography. It emphasizes the importance of creative process that engages with the "felt sense" of community experiences, an element often missing from conventional mapping practices. International artistic contributions in this book reveal the creative research practices and languages of artists, a prerequisite to understanding the multi-modal interface of cultural mapping. The book examines how contemporary artistic approaches can challenge conventional asset mapping by animating and honouring the local, giving voice and definition to the vernacular, or recognizing the notion of place as inhabited by story and history. It explores the processes of seeing and listening and the importance of the aesthetic as a key component of community self-expression and self-representation. Innovative contributions in this book champion inclusion and experimentation, expose unacknowledged power relations, and catalyze identity formation, through multiple modes of artistic representation and performance. It will be a valuable resource for individuals involved with creative research methods, performance, and cultural mapping as well as social and urban planning.
Artistic Visions of the Anthropocene North: Climate Change and Nature in Art (Routledge Advances in Art and Visual Studies)
by Gry Hedin Ann-Sofie N. GremaudIn the era of the Anthropocene, artists and scientists are facing a new paradigm in their attempts to represent nature. Seven chapters, which focus on art from 1780 to the present that engages with Nordic landscapes, argue that a number of artists in this period work in the intersection between art, science, and media technologies to examine the human impact on these landscapes and question the blurred boundaries between nature and the human. Canadian artists such as Lawren Harris and Geronimo Inutiq are considered alongside artists from Scandinavia and Iceland such as J.C. Dahl, Eija-Liisa Ahtila, Toril Johannessen, and Björk.
Artists and the Practice of Agriculture: Politics and Aesthetics of Food Sovereignty in Art since 1960 (Critical Food Studies)
by Silvia BottinelliArtists and the Practice of Agriculture maps out examples of artistic practices that engage with the aesthetics and politics of gathering food, growing edible and medicinal plants, and interacting with non-human collaborators. In the hands of contemporary artists, farming and foraging become forms of visual and material language that convey personal and political meanings. This book provides a critical analysis of artistic practices that model alternative food systems. It presents rich academic insights as well as 16 conversations with practicing artists. The volume addresses pressing issues, such as the interconnectedness of human and other-than-human beings, the weight of industrial agriculture, the legacy of colonialism, and the promise of place-based and embodied pedagogies. Through participatory projects, the artists discussed here reflect on the links between past histories, present challenges, and future solutions for the food sovereignty of local and networked communities. The book is an easy-to-navigate resource for readers interested in food studies, visual and material cultures, contemporary art, ecocriticism, and the environmental humanities.
The Arts and Humanities on Environmental and Climate Change: Broadening Approaches to Research and Public Engagement
by Sarah SuttonThe Arts and Humanities on Environmental and Climate Change examines how cultural institutions and their collections can support a goal shared with the scientific community: creating a climate-literate public that engages with environmental issues and climate change in an informed way. When researchers, curators, and educators use the arts and humanities to frame discussions about environmental and climate change, they can engage a far wider public in learning, conversation, and action than science can alone. Demonstrating that archival and object-based resources can act as vital evidence for change, Sutton shows how the historical record, paired with contemporary reality, can create more personal connections to what many consider a remote experience: the changing climate. Providing valuable examples of museum collections used in discussions of environmental and climate change, the book shares how historic images and landscape paintings demonstrate change over time; and how documentary evidence in the form of archaeological reports, ships logs, Henry David Thoreau’s journals, and local reports of pond hockey conditions are being used to render climate data more accessible. Images, personal records, and professional documents have critical roles as boundary objects and proxy data. These climate resources, Sutton argues, are valuable because they make climate change personal and attract a public less interested in a scientific approach. This approach is underused by museums and their research allies for public engagement and for building institutional relevancy. The Arts and Humanities on Environmental and Climate Change will be most interesting to readers looking for ways to broaden engagement with environmental and climate issues. The ideas shared here should also act as inspiration for a broad spectrum of practitioners, particularly those writing, designing, and curating public engagement materials in museums, for wider research, and for the media.