Data Science and Human-Environment Systems

Description

Transformation of the Earth's social and ecological systems is occurring at a rate and magnitude unparalleled in human experience. Data science is a revolutionary new way to understand human-environment relationships at the heart of pressing challenges like climate change and sustainable development. However, data science faces serious shortcomings when it comes to human-environment research. There are challenges with social and environmental data, the methods that manipulate and analyze the information, and the theory underlying the data science itself; as well as significant legal, ethical and policy concerns. This timely book offers a comprehensive, balanced, and accessible account of the promise and problems of this work in terms of data, methods, theory, and policy. It demonstrates the need for data scientists to work with human-environment scholars to tackle pressing real-world problems, making it ideal for researchers and graduate students in Earth and environmental science, data science and the environmental social sciences.

Steven Manson is a Professor in the Department of Geography, Environment and Society at the University of Minnesota, and a Fellow of the Institute on the Environment. He combines environmental, social, and information science to understand complex human-environment systems. He has won awards from organizations including the US National Aeronautics and Space Administration, the University Consortium for Geographic Information Science, and the Ecological Society of America.

'Decidedly not yet another 'data science and [fill in the blank] manifesto! This wide-ranging overview is optimistic about the potential, yet realistic about the challenges of the rapidly evolving data landscape facing scholars concerned with human-environment systems.' David O'Sullivan, Victoria University of Wellington 'Data and its science is rapidly becoming one of the mantras of the 21st century. In this book Steve Manson provides a compelling analysis of the prospects and problems of working with big data and various methods that exploit it in human and environmental systems, focussing on bias, uncertainty, ethics and privacy which are rarely discussed in a comprehensive way in the context of the science itself. Essential reading for data scientists and policymakers alike.' Michael Batty, Centre for Advanced Spatial Analysis, University College London 'This clear, comprehensive, and insightful treatise could not have come to the academic world at a better time, especially when democracy, human rights, and the sustainability of our planet face a myriad of dangers. Lucky readers will value this book for its frank discussion of the collective challenges and pitfalls that exist and even more so for guidance on viable means of cross-disciplinary collaboration toward ultimate solutions.' Dawn Wright, Esri Chief Scientist