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.

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.

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.

This book grew out of a public lecture series, Alternative forms of knowledge construction in mathematics, conceived and organized by the first editor, and held annually at Portland State University from 2006. Starting from the position that mathematics is a human construction, implying that it cannot be separated from its historical, cultural, social, and political contexts, the purpose of these lectures was to provide a public intellectual space to interrogate conceptions of mathematics and mathematics education, particularly by looking at mathematical practices that are not considered relevant to mainstream mathematics education. One of the main thrusts was to contemplate the fundamental question of whose mathematics is to be valorized in a multicultural world, a world in which, as Paolo Freire said, “The intellectual activity of those without power is always characterized asnon-intellectual”. To date, nineteen scholars (including the second editor) have participated in the series. All of the lectures have been streamed for global dissemination at:http://www.media.pdx.edu/dlcmedia/events/AFK/. Most of the speakers contributed a chapter to this book, based either on their original talk or on a related topic. The book is divided into four sections dealing with: • Mathematics and the politics of knowledge • Ethnomathematics • Learning to see mathematically • Mathematics education for social justice.

Numerical Control: Part A, Volume 23 in the Handbook of Numerical Analysis series, highlights new advances in the field, with this new volume presenting interesting chapters written by an international board of authors. Chapters in this volume include Numerics for finite-dimensional control systems, Moments and convex optimization for analysis and control of nonlinear PDEs, The turnpike property in optimal control, Structure-Preserving Numerical Schemes for Hamiltonian Dynamics, Optimal Control of PDEs and FE-Approximation, Filtration techniques for the uniform controllability of semi-discrete hyperbolic equations, Numerical controllability properties of fractional partial differential equations, Optimal Control, Numerics, and Applications of Fractional PDEs, and much more. - Provides the authority and expertise of leading contributors from an international board of authors - Presents the latest release in the Handbook of Numerical Analysis series - Updated release includes the latest information on Numerical Control

The epistemological synthesis of the various theories of evolution, since the first formulation in 1802 with the transmission of the inherited characters by J.B. Lamarck, shows the need for an alternative synthesis to that of Princeton (1947). This new synthesis integrates the scientific models of self-organization developed during the second half of the 20th century based on the laws of physics, thermodynamics, and mathematics with the emergent evolutionary problematics such as self-organized memory. This book shows, how self-organization is integrated in modern evolutionary biology. It is divided in two parts: The first part pays attention to the modern observations in paleontology and biology, which include major theoreticians of the self-organization (d’Arcy Thompson, Henri Bergson, René Thom, Ilya Prigogine). The second part presents different emergent evolutionary models including the sciences of complexity, the non-linear dynamical systems, fractals, attractors, epigenesis, systemics, and mesology with different examples of the sciences of complexity and self-organization as observed in the human lineage, from both internal (embryogenesis-morphogenesis) and external (mesology) viewpoints.