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This book, featuring a truly interdisciplinary approach, provides an overview of cutting-edge mathematical theories and techniques that promise to play a central role in climate science. It brings together some of the most interesting overview lectures given by the invited speakers at an important workshop held in Rome in 2013 as a part of MPE2013 (“Mathematics of Planet Earth 2013”). The aim of the workshop was to foster the interaction between climate scientists and mathematicians active in various fields linked to climate sciences, such as dynamical systems, partial differential equations, control theory, stochastic systems, and numerical analysis. Mathematics and statistics already play a central role in this area. Likewise, computer science must have a say in the efforts to simulate the Earth’s environment on the unprecedented scale of petabytes. In the context of such complexity, new mathematical tools are needed to organize and simplify the approach. The growing importance of data assimilation techniques for climate modeling is amply illustrated in this volume, which also identifies important future challenges.
The contemporary crisis of emerging disease has been a century and a half in the making. Human, veterinary, and crop health practitioners convinced themselves that disease could be controlled by medicating the sick, vaccinating those at risk, and eradicating the parts of the biosphere responsible for disease transmission. Evolutionary biologists assured themselves that coevolution between pathogens and hosts provided a firewall against disease emergence in new hosts. Most climate scientists made no connection between climate changes and disease. None of these traditional perspectives anticipated the onslaught of emerging infectious diseases confronting humanity today. As this book reveals, a new understanding of the evolution of pathogen-host systems, called the Stockholm Paradigm, explains what is happening. The planet is a minefield of pathogens with preexisting capacities to infect susceptible but unexposed hosts, needing only the opportunity for contact. Climate change has always been the major catalyst for such new opportunities, because it disrupts local ecosystem structure and allows pathogens and hosts to move. Once pathogens expand to new hosts, novel variants may emerge, each with new infection capacities. Mathematical models and real-world examples uniformly support these ideas. Emerging disease is thus one of the greatest climate change–related threats confronting humanity. Even without deadly global catastrophes on the scale of the 1918 Spanish Influenza pandemic, emerging diseases cost humanity more than a trillion dollars per year in treatment and lost productivity. But while time is short, the danger is great, and we are largely unprepared, the Stockholm Paradigm offers hope for managing the crisis. By using the DAMA (document, assess, monitor, act) protocol, we can “anticipate to mitigate” emerging disease, buying time and saving money while we search for more effective ways to cope with this challenge.
Climate is a paradigm of a complex system. Analysing climate data is an exciting challenge, which is increased by non-normal distributional shape, serial dependence, uneven spacing and timescale uncertainties. This book presents bootstrap resampling as a computing-intensive method able to meet the challenge. It shows the bootstrap to perform reliably in the most important statistical estimation techniques: regression, spectral analysis, extreme values and correlation. This book is written for climatologists and applied statisticians. It explains step by step the bootstrap algorithms (including novel adaptions) and methods for confidence interval construction. It tests the accuracy of the algorithms by means of Monte Carlo experiments. It analyses a large array of climate time series, giving a detailed account on the data and the associated climatological questions. This makes the book self-contained for graduate students and researchers.
2022 PROSE Award Finalist Drawing on narratives from hundreds of Black, Latinx, and Indigenous individuals, Ebony Omotola McGee examines the experiences of underrepresented racially minoritized students and faculty members who have succeeded in STEM. Based on this extensive research, McGee advocates for structural and institutional changes to address racial discrimination, stereotyping, and hostile environments in an effort to make the field more inclusive. Black, Brown, Bruised reveals the challenges that underrepresented racially minoritized students confront in order to succeed in these exclusive, usually all-White, academic and professional realms. The book provides searing accounts of racism inscribed on campus, in the lab, and on the job, and portrays learning and work environments as arenas rife with racial stereotyping, conscious and unconscious bias, and micro-aggressions. As a result, many students experience the effects of a racial battle fatigue—physical and mental exhaustion borne of their hostile learning and work environments—leading them to abandon STEM fields entirely. McGee offers policies and practices that must be implemented to ensure that STEM education and employment become more inclusive including internships, mentoring opportunities, and curricular offerings. Such structural changes are imperative if we are to reverse the negative effects of racialized STEM and unlock the potential of all students to drive technological innovation and power the economy.
This conference proceedings focuses on enabling science and mathematics practitioners and citizens to respond to the pressing challenges of global competitiveness and sustainable development by transforming research and teaching of science and mathematics. The proceedings consist of 82 papers presented at the Science and Mathematics International Conference (SMIC) 2018, organised by the Faculty of Mathematics and Natural Sciences, Universitas Negeri Jakarta, Indonesia. The proceedings are organised in four parts: Science, Science Education, Mathematics, and Mathematics Education. The papers contribute to our understanding of important contemporary issues in science, especially nanotechnology, materials and environmental science; science education, in particular, environmental sustainability, STEM and STEAM education, 21st century skills, technology education, and green chemistry; and mathematics and its application in statistics, computer science, and mathematics education.
The SAGE Encyclopedia of Theory is a landmark work that examines theory in general and the broad split between the "hard" and "soft" sciences, a split that is being re-examined as approaches to scientific questions become increasingly multidisciplinary.
Why do giraffes have long necks? It can't really be for reaching tasty leaves since their main food is ground level bushes, tidy though that explanation would be. And how does relativity theory cope with the fact that the observable universe defies prediction by being far too small and anything but homogeneous? By inventing a vastly larger, but invisible, universe. And what exactly should we make of the scientists who claim to be witnessing thought itself, when the changes of blood flow in the brain that they observe are a thousand times slower than the neuronal activity it is supposed to reveal? A little scepticism is in order. Yet if philosophers of science, from Thomas Kuhn to Paul Feyerabend, have argued that science is a more haphazard process, driven by political fashion and short-term economic self-interest, today almost everyone seems to assume it is a vast jigsaw of interlocking facts pieced slowly but steadily together by expert practitioners. In this witty but profound 21st-century update on the issues, Martin Cohen offers vital clues for understanding not only the way knowledge develops, but also into the dangers of accepting too readily or too uncritically the claims of experts of all kinds - even philosophical ones! The claims are invariably presented as objective fact, yet are rooted in human subjectivity.
Engineering Design and Mathematical Modelling: Concepts and Applications consists of chapters that span the Engineering design and mathematical modelling domains. Engineering design and mathematical modelling are key tools/techniques in the Science, Technology and Innovation spheres. Whilst engineering design is concerned with the creation of functional innovative products and processes, mathematical modelling seeks to utilize mathematical principles and concepts to describe and control real world phenomena. Both of these can be useful tools for spurring and hastening progress in developing countries. They are also areas where Africa needs to ‘skill-up’ in order to build a technological base. The chapters in this book cover the relevant research trends in the fields of both engineering design and mathematical modelling. This book was originally published as a special issue of the African Journal of Science, Technology, Innovation and Development.
Climate change has moved from being a contested phenomenon to the top of the agenda at global summits. Climate Change Biology is the first major textbook to address the critical issue of how climate change may affect life on the planet, and particularly its impact on human populations. Presented in four parts, the first deals extensively with the physical evidence of climate change and various modelling efforts to predict its future. Biological responses are addressed in the second part, from the individual's physiology to populations and ecosystems, and further to considering adaptation and evolution. The third part examines the specific impact climate change may have on natural resources, agriculture and forestry. The final part considers research on the cutting edge of impact prediction and the practical and philosophical limitations on our abilities to predict these impacts. This text will be a useful asset to the growing number of both undergraduate and graduate courses on impacts of climate change, as well as providing a succinct overview for researchers new to the field.