Machine Learning for Financial Risk Management with Python

The Art of Child and Adolescent Psychiatry is an engaging and authoritative account of the essential skills required to practice child and adolescent psychiatry for all those working in children's mental health, from trainees to experienced professionals in paediatrics, psychiatry, psychology, and psychotherapy. The practical tasks of meeting the child and family, planning treatments, and working with colleagues are all covered, building on existing texts that mainly focus on diagnostic criteria, protocols, and laws. This book respects the evidence base, while also pointing out its limitations, and suggests ways in which to deal with these. Psychiatry is placed within broader frameworks including strategy, learning, management, philosophy, ethics, and interpersonal relations. With over 200 educational vignettes of the authors' vast experience in the field, the book is also highly illustrated. The Art of Child and Adolescent Psychiatry is an indispensable guide to thoughtful practice in

Algorithms permeate our lives in numerous ways, performing tasks that until recently could only be carried out by humans. Artificial Intelligence (AI) technologies, based on machine learning algorithms and big-data-powered systems, can perform sophisticated tasks such as driving cars, analyzing medical data, and evaluating and executing complex financial transactions - often without active human control or supervision. Algorithms also play an important role in determining retail pricing, online advertising, loan qualification, and airport security. In this work, Martin Ebers and Susana Navas bring together a group of scholars and practitioners from across Europe and the US to analyze how this shift from human actors to computers presents both practical and conceptual challenges for legal and regulatory systems. This book should be read by anyone interested in the intersection between computer science and law, how the law can better regulate algorithmic design, and the legal ramificatio

This book integrates philosophy of science, data acquisition methods, and statistical modeling techniques to present readers with a forward-thinking perspective on clinical science. It reviews modern research practices in clinical psychology that support the goals of psychological science, study designs that promote good research, and quantitative methods that can test specific scientific questions. It covers new themes in research including intensive longitudinal designs, neurobiology, developmental psychopathology, and advanced computational methods such as machine learning. Core chapters examine significant statistical topics, for example missing data, causality, meta-analysis, latent variable analysis, and dyadic data analysis. A balanced overview of observational and experimental designs is also supplied, including preclinical research and intervention science. This is a foundational resource that supports the methodological training of the current and future generations of clinic

This book integrates philosophy of science, data acquisition methods, and statistical modeling techniques to present readers with a forward-thinking perspective on clinical science. It reviews modern research practices in clinical psychology that support the goals of psychological science, study designs that promote good research, and quantitative methods that can test specific scientific questions. It covers new themes in research including intensive longitudinal designs, neurobiology, developmental psychopathology, and advanced computational methods such as machine learning. Core chapters examine significant statistical topics, for example missing data, causality, meta-analysis, latent variable analysis, and dyadic data analysis. A balanced overview of observational and experimental designs is also supplied, including preclinical research and intervention science. This is a foundational resource that supports the methodological training of the current and future generations of clinic

During the 1820s, British society saw transformations in technology, mobility, and consumerism that accelerated the spread of information. This timely study reveals how bestselling literature, popular theatre, and periodical journalism self-consciously experimented with new media. It presents an age preoccupied with improvisation and speculation – a mode of behaviour that dominated financial and literary markets, generating reflections on risk, agency, and the importance of public opinion. Print and Performance in the 1820s interprets a rich constellation of fictional texts and theatrical productions that gained popularity among middle-class metropolitan audiences through experiments with intersecting fantasy worlds and acutely described real worlds. Providing new contexts for figures such as Byron and Scott, and recovering the work of lesser-known contemporaries including Charles Mathews' character impersonations and the performances of celebrity improvvisatore Tommaso Sgricci, Angela

Networks are everywhere: networks of friends, transportation networks and the Web. Neurons in our brains and proteins within our bodies form networks that determine our intelligence and survival. This modern, accessible textbook introduces the basics of network science for a wide range of job sectors from management to marketing, from biology to engineering, and from neuroscience to the social sciences. Students will develop important, practical skills and learn to write code for using networks in their areas of interest - even as they are just learning to program with Python. Extensive sets of tutorials and homework problems provide plenty of hands-on practice and longer programming tutorials online further enhance students' programming skills. This intuitive and direct approach makes the book ideal for a first course, aimed at a wide audience without a strong background in mathematics or computing but with a desire to learn the fundamentals and applications of network science.

Learn about the state-of-the-art at the interface between information theory and data science with this first unified treatment of the subject. Written by leading experts in a clear, tutorial style, and using consistent notation and definitions throughout, it shows how information-theoretic methods are being used in data acquisition, data representation, data analysis, and statistics and machine learning. Coverage is broad, with chapters on signal acquisition, data compression, compressive sensing, data communication, representation learning, emerging topics in statistics, and much more. Each chapter includes a topic overview, definition of the key problems, emerging and open problems, and an extensive reference list, allowing readers to develop in-depth knowledge and understanding. Providing a thorough survey of the current research area and cutting-edge trends, this is essential reading for graduate students and researchers working in information theory, signal processing, machine le

Before the financial crisis, fiscal policy often played a secondary role to monetary policy, with the manipulation of interest rates to hit inflation targets being the main instrument of macroeconomic management. However, after the financial crisis and the subsequent euro crisis, fiscal policy has been brought back to the fore. In the past, the limited understanding of the effects of fiscal policy, neglect of monetary-fiscal interactions, faulty institutional set ups or ignorance of market expectations often led to bad policies. This book, written by a team of leading economists, seeks to address the current oversight of fiscal policy and to upgrade our understanding and conduct of fiscal policy, presenting a well-balanced diagnosis and offering several important lessons for future fiscal analysis and policymaking. It is an essential read for academics and graduate students focused on the current debate over fiscal policy, as well as policymakers working on day-to-day policy issues.

This friendly guide is the companion you need to convert pure mathematics into understanding and facility with a host of probabilistic tools. The book provides a high-level view of probability and its most powerful applications. It begins with the basic rules of probability and quickly progresses to some of the most sophisticated modern techniques in use, including Kalman filters, Monte Carlo techniques, machine learning methods, Bayesian inference and stochastic processes. It draws on thirty years of experience in applying probabilistic methods to problems in computational science and engineering, and numerous practical examples illustrate where these techniques are used in the real world. Topics of discussion range from carbon dating to Wasserstein GANs, one of the most recent developments in Deep Learning. The underlying mathematics is presented in full, but clarity takes priority over complete rigour, making this text a starting reference source for researchers and a readable overv

With this groundbreaking text, discover how wireless artificial intelligence (AI) can be used to determine position at centimeter level, sense motion and vital signs, and identify events and people. Using a highly innovative approach that employs existing wireless equipment and signal processing techniques to turn multipaths into virtual antennas, combined with the physical principle of time reversal and machine learning, it covers fundamental theory, extensive experimental results, and real practical use cases developed for products and applications. Topics explored include indoor positioning and tracking, wireless sensing and analytics, wireless power transfer and energy efficiency, 5G and next-generation communications, and the connection of large numbers of heterogeneous IoT devices of various bandwidths and capabilities. Demo videos accompanying the book online enhance understanding of these topics. Providing a unified framework for wireless AI, this is an excellent text for gradu

This friendly guide is the companion you need to convert pure mathematics into understanding and facility with a host of probabilistic tools. The book provides a high-level view of probability and its most powerful applications. It begins with the basic rules of probability and quickly progresses to some of the most sophisticated modern techniques in use, including Kalman filters, Monte Carlo techniques, machine learning methods, Bayesian inference and stochastic processes. It draws on thirty years of experience in applying probabilistic methods to problems in computational science and engineering, and numerous practical examples illustrate where these techniques are used in the real world. Topics of discussion range from carbon dating to Wasserstein GANs, one of the most recent developments in Deep Learning. The underlying mathematics is presented in full, but clarity takes priority over complete rigour, making this text a starting reference source for researchers and a readable overv

Trauma is a leading cause of death and disability around the world, and the leading cause of death in those aged under forty-five years. Conditions such as airway obstruction, hemorrhage, pneumothorax, tamponade, bowel rupture, vascular injury, and pelvic fracture can cause death if not appropriately diagnosed and managed. This essential book provides emergency physicians with an easy-to-use reference and source for traumatic injury evaluation and management in the emergency department. It covers approaches to common, life-threatening, and traumatic diseases in the emergency department, for use on shift and as a reference for further learning. Each chapter includes a succinct overview of common traumatic injuries, with evaluation and management pearls and pitfalls. Highly illustrated with images from one of the busiest trauma centers in the US, and featuring expert contributions from a diverse set of attending physicians, this is an essential text for all emergency medicine practitione

The tenth edition of Operating System Concepts has been revised to keep it fresh and up-to-date with contemporary examples of how operating systems function, and to improve learning and the student's experience with the material. It combines instruction on concepts with real-world applications so that students can understand the practical usage of the content. End-of-chapter practice exercises help to further reinforce important concepts.Each chapter also includes homework exercises and additional suggested readings on core topics. The text provides several example programs written in C and Java for use in several programming environments and a Linux Virtual Machine that can be run on Windows 10, Linux, or macOS.

Water resources are of enormous societal and ecological importance. In coastal areas, they are under ever greater pressure due to population growth, more affluent lifestyles, food production and the growing tourism industry. Changes to the coastal landscape, through urbanisation and land reclamation, and by natural processes such as climate change and sea level rise, modify the interaction between seawater and groundwater and put water resources at risk. This comprehensive volume covers both theory and practice of coastal hydrogeology. It discusses hydrochemistry; submarine groundwater discharge; groundwater management; palaeo-hydrology; land reclamation; climate change and sea level rise; and mathematical models of variable-density flow. With its up-to-date coverage and numerous case studies that illustrate practical implications, it is perfect for students, practitioners, managers and researchers who wish to develop an in-depth understanding of topics relevant to sustainably managing

The complex healthcare needs of pregnant patients, where care is tailored to not one but two patients, pose specific challenges to anesthesiologists. This book provides concise, case-based discussion on the clinical scenarios and challenges faced in the provision of anesthesia and pain relief for expectant mothers. In the style of problem-based learning, each case is presented as a short scenario, followed by discussion of the causes, risk factors, management and controversies involved. The textbook features a wide range of cases, from common clinical scenarios that are experienced in day-to-day practice to the rare but significant pathologies less familiar to most clinicians. With a global base of contributors, the book is relevant to practice across the world. The concise format supports both trainee anesthesiologists in their initial experiences of obstetrics and exam preparation, and experienced clinicians in need of a reliable, quick-reference text.

This textbook presents key theoretical approaches to understanding issues of sustainability and environmental management, perfectly bridging the gap between engineering and environmental science. It begins with the fundamentals of environmental modelling and toxicology, which are then used to discuss qualitative and quantitative risk assessment methods, and environmental assessments of product design. It discusses how business and government can work towards sustainability, focusing on managerial and legal tools, before considering ethics and how decisions on environmental management can be made. Students will learn quantitative methods while also gaining an understanding of qualitative, legal, and ethical aspects of sustainability. Practical applications are included throughout, and there are study questions at the end of each chapter. PowerPoint slides and jpegs of all the figures in the book are provided online. This is the perfect textbook on environmental studies for engineering a

This textbook presents key theoretical approaches to understanding issues of sustainability and environmental management, perfectly bridging the gap between engineering and environmental science. It begins with the fundamentals of environmental modelling and toxicology, which are then used to discuss qualitative and quantitative risk assessment methods, and environmental assessments of product design. It discusses how business and government can work towards sustainability, focusing on managerial and legal tools, before considering ethics and how decisions on environmental management can be made. Students will learn quantitative methods while also gaining an understanding of qualitative, legal, and ethical aspects of sustainability. Practical applications are included throughout, and there are study questions at the end of each chapter. PowerPoint slides and jpegs of all the figures in the book are provided online. This is the perfect textbook on environmental studies for engineering a

With the increasing public interest in artificial intelligence (AI), there is also increasing interest in learning about the benefits that AI can deliver to society. This book focuses on research advances in AI that benefit the conservation of wildlife, forests, coral reefs, rivers, and other natural resources. It presents how the joint efforts of researchers in computer science, ecology, economics, and psychology help address the goals of the United Nations' 2030 Agenda for Sustainable Development. Written at a level accessible to conservation professionals and AI researchers, the book offers both an overview of the field and an in-depth view of how AI is being used to understand patterns in wildlife poaching and enhance patrol efforts in response, covering research advances, field tests and real-world deployments. The book also features efforts in other major conservation directions, including protecting natural resources, ecosystem monitoring, and bio-invasion management through the

Recent years have witnessed an explosion in the volume and variety of data collected in all scientific disciplines and industrial settings. Such massive data sets present a number of challenges to researchers in statistics and machine learning. This book provides a self-contained introduction to the area of high-dimensional statistics, aimed at the first-year graduate level. It includes chapters that are focused on core methodology and theory - including tail bounds, concentration inequalities, uniform laws and empirical process, and random matrices - as well as chapters devoted to in-depth exploration of particular model classes - including sparse linear models, matrix models with rank constraints, graphical models, and various types of non-parametric models. With hundreds of worked examples and exercises, this text is intended both for courses and for self-study by graduate students and researchers in statistics, machine learning, and related fields who must understand, apply, and ad

If you’re a developer familiar with AI, machine learning, and computer vision, this practical book provides you with a foundational understanding of augmented and virtual reality functions. AR a

With the increasing public interest in artificial intelligence (AI), there is also increasing interest in learning about the benefits that AI can deliver to society. This book focuses on research advances in AI that benefit the conservation of wildlife, forests, coral reefs, rivers, and other natural resources. It presents how the joint efforts of researchers in computer science, ecology, economics, and psychology help address the goals of the United Nations' 2030 Agenda for Sustainable Development. Written at a level accessible to conservation professionals and AI researchers, the book offers both an overview of the field and an in-depth view of how AI is being used to understand patterns in wildlife poaching and enhance patrol efforts in response, covering research advances, field tests and real-world deployments. The book also features efforts in other major conservation directions, including protecting natural resources, ecosystem monitoring, and bio-invasion management through the

Fetal cardiology is an important part of management for high-risk pregnancies: one in every 100 babies is born with a heart problem. Fully updated, this second edition of Fetal Cardiology covers all a

Arguably the strongest addition to numerical finance of the past decade, Algorithmic Adjoint Differentiation (AAD) is the technology implemented in modern financial software to produce thousands of accurate risk sensitivities, within seconds, on light hardware.AAD recently became a centerpiece of modern financial systems, and a key skill for all quantitative analysts, developers, risk professionals or anyone involved with derivatives. It is increasingly taught in Masters programs in finance.Wiley's Computational Finance books, written by some of the very people who wrote Danske Bank's award-winning systems, offer a unique insight into the modern implementation of financial models. The volumes combine financial modelling, mathematics and programming to resolve real life financial problems and produce effective derivatives software.This volume is a complete, self-contained learning reference for AAD, and its application in finance. AAD is explained in deep detail throughout chapters that

An essential read for healthcare providers across all disciplines, this book is a comprehensive guide to the perioperative management of the obese patient. Providing practical guidance on specific aspects of physiology, pharmacology and anaesthetic technique, it addresses the increasing prevalence of obese patients in both elective and emergency settings and the need for a definitive text on the perioperative care for these patients. With content mapped to the Royal College of Anaesthetists learning matrices, the book covers key topics such as: • Epidemiology of obesity • Pathophysiology of obesity • Pre-operative assessment • Intra- operative management • Post-operative care • Bariatric surgery.

Academics and practitioners from a range of institutions across Europe provide a cutting-edge, practical, and comprehensive review on the financing of entrepreneurial ventures. From sourcing and obtaining funds, to financial tools for growing and managing the financial challenges and opportunities of the startup, Entrepreneurial Finance: The Art and Science of Growing Ventures is an engaging text that will equip entrepreneurs, students and early-stage investors to make sound financial decisions at every stage of a business' life. Largely reflecting European businesses and with a European perspective, the text is grounded in sound theoretical foundations. Case studies and success stories, as well as perspectives from the media and from experts, provide real-world applications, while a wealth of activities give students abundant opportunities to apply what they have learned. A must-have text for both graduate and undergraduate students in entrepreneurship, finance and management programs

Academics and practitioners from a range of institutions across Europe provide a cutting-edge, practical, and comprehensive review on the financing of entrepreneurial ventures. From sourcing and obtaining funds, to financial tools for growing and managing the financial challenges and opportunities of the startup, Entrepreneurial Finance: The Art and Science of Growing Ventures is an engaging text that will equip entrepreneurs, students and early-stage investors to make sound financial decisions at every stage of a business' life. Largely reflecting European businesses and with a European perspective, the text is grounded in sound theoretical foundations. Case studies and success stories, as well as perspectives from the media and from experts, provide real-world applications, while a wealth of activities give students abundant opportunities to apply what they have learned. A must-have text for both graduate and undergraduate students in entrepreneurship, finance and management programs

This groundbreaking textbook combines straightforward explanations with a wealth of practical examples to offer an innovative approach to teaching linear algebra. Requiring no prior knowledge of the subject, it covers the aspects of linear algebra - vectors, matrices, and least squares - that are needed for engineering applications, discussing examples across data science, machine learning and artificial intelligence, signal and image processing, tomography, navigation, control, and finance. The numerous practical exercises throughout allow students to test their understanding and translate their knowledge into solving real-world problems, with lecture slides, additional computational exercises in Julia and MATLAB®, and data sets accompanying the book online. Suitable for both one-semester and one-quarter courses, as well as self-study, this self-contained text provides beginning students with the foundation they need to progress to more advanced study.

This book proposes neural networks algorithms and advanced machine learning techniques for processing nonlinear dynamic signals such as audio, speech, financial signals, feedback loops, waveform gener

Intelligence is at the heart of what makes us human, but the methods we use for identifying, talking about and valuing human intelligence are impoverished. We invest artificial intelligence (AI) with

Most patients with critical cardiac or thoracic conditions will at some stage pass through the cardiothoracic critical care unit. Critical care presents more complex clinical data than any other area of medicine. The new edition of Core Topics in Cardiothoracic Critical Care focuses on the latest practise in the management of patients in cardiothoracic intensive care. The practice of cardiothoracic critical care medicine is constantly evolving, and this new edition reflects the modernized learning styles for trainees. Each chapter includes key learning points as well as sample multiple choice questions and answers to assist in exam preparation. This edition also features updated chapters on ECMO, perioperative management of patients undergoing emergency cardiothoracic surgery, and advanced modes of organ support for patients. This text provides key knowledge in a concise and accessible manner for trainees, clinicians and consultants from specialities and disciplines such as cardiology

This book will help readers gain vital guidance and support when treating the high-risk, high-reward population of women confronting (or battling) opioid-use disorders during pregnancy. Large numbers of pregnant women are dependent on opioids and require comprehensive non-judgemental care to replace traditional approaches of incarceration and child welfare involvement that worsen outcomes for both mother and infant. Invaluable and comprehensive, this toolkit provides the key to non-judgemental care for both mother and baby, throughout labor, delivery management and postpartum care. It bridges the important treatment gap through evidence-based, caring approach; standardizing exceptional care, for obstetricians, pediatricians, addictionists, and anyone caring for pregnant women with opioid-use disorders. Edited by a Board-certified expert in obstetrics, gynecology and addiction medicine, and a team of internationally-acclaimed leaders in women's health, this guide provides high-quality a

This book presents a broad overview of risk management in the banking industry, with a special focus on strategic thinking and decision-making. It reveals the broader context behind decision models an

Delayed recognition of an injury or improper stabilization of the spine can lead to irreversible spinal cord injury and permanent neurological damage. This highly illustrated resource chronicles the rapid developments in imaging technology and expertise over the past decades that have transformed the medical management of vertebral injury, including thoracolumbar trauma classification. With over 250 CT and MRI images, this essential text is designed to aid both trainees and practicing physicians in making rapid and accurate diagnoses to patients with spinal trauma and provide appropriate care. This clear, concise, case-based resource will serve as a guide and learning source for trainees as well as an easily navigable reference for medical practitioners that can be essential to establishing the presence of an acute spinal injury.

In this updated and expanded edition of The Cambridge Handbook of Expertise and Expert Performance, some of the world's foremost experts on expertise share their scientific knowledge of expertise and expert performance and show how experts may differ from non-experts in terms of development, training, reasoning, knowledge, and social support. The book reviews innovative methods for measuring experts' knowledge and performance in relevant tasks. Sixteen major domains of expertise are covered, including sports, music, medicine, business, writing, and drawing, with leading researchers summarizing their knowledge about the structure and acquisition of expert skills and knowledge, and discussing future prospects. General issues that cut across most domains are reviewed in chapters on various aspects of expertise, such as general and practical intelligence, differences in brain activity, self-regulated learning, deliberate practice, aging, knowledge management, and creativity.

In this updated and expanded edition of The Cambridge Handbook of Expertise and Expert Performance, some of the world's foremost experts on expertise share their scientific knowledge of expertise and expert performance and show how experts may differ from non-experts in terms of development, training, reasoning, knowledge, and social support. The book reviews innovative methods for measuring experts' knowledge and performance in relevant tasks. Sixteen major domains of expertise are covered, including sports, music, medicine, business, writing, and drawing, with leading researchers summarizing their knowledge about the structure and acquisition of expert skills and knowledge, and discussing future prospects. General issues that cut across most domains are reviewed in chapters on various aspects of expertise, such as general and practical intelligence, differences in brain activity, self-regulated learning, deliberate practice, aging, knowledge management, and creativity.

In recent years there has been growing recognition that disaster risk cannot be reduced by focusing solely on physical hazards without considering factors that influence socio-economic impact. Vulnerability: the susceptibility to the damaging impacts of hazards, and resilience: the ability to recover, have become popular concepts in natural hazard and risk management. This book provides a comprehensive overview of the concepts of vulnerability and resilience and their application to natural hazards research. With contributions from both physical and social scientists it provides an interdisciplinary discussion of the different types of vulnerability and resilience, the links between them, and concludes with the remaining challenges and future directions of the field. Examining global case studies from the US coast to Austria, this is a valuable reference for researchers and graduate students working in natural hazard and risk reduction from both the natural and social sciences.

Master the effective evaluation, analysis and management of placental-fetal growth restriction (PFGR), developing strategies to reduce the risk of perinatal mortality and morbidity in patients worldwide. Extensively researched by international experts, this manual provides practitioners with a detailed, hands-on approach to the practical 'pearls' for direct patient management. This authoritative volume advises on matters such as the correct evaluation and management of high-risk patients in danger of PFGR through to delivery. Extensive and wide-ranging, this book is an invaluable companion to the developing research interest and clinical applications in PFGR, including developmental outcomes in early childhood. Featuring a critical evaluation of a variety of abnormal conditions, such as fetal hypoxia and extreme prematurity, which are clearly displayed through extensive illustrations, this essential toolkit ensures that practitioners at all levels can effectively limit adverse outcome

Managing Corporate Impacts draws on the insights and experiences of managers from around the world to examine how companies can manage corporate impacts to co-create enduring value for business and society. Corporate impacts - the points at which businesses create or destroy value with others - extend well beyond financial impacts to include the workplace, procurement and delivery of goods and services, and shaping perceptions held about corporate behavior. This book uses simple frameworks to demonstrate why and how today's corporations co-create enduring value with multiple stakeholders simultaneously. By introducing multiplier effects and spillover effects, the frameworks move the attention of management beyond direct impacts to examine indirect impacts that create or destroy value connected to the core of the business. By purposely connecting with stakeholders through information-sharing, and effectively managing myriad impacts along supply and distribution chains, companies are poi

Flood inundation models enable us to make hazard predictions for floodplains, mitigating increasing flood fatalities and losses. This book provides an understanding of hydraulic modelling and floodplain dynamics, with a key focus on state-of-the-art remote sensing data, and methods to estimate and communicate uncertainty. Academic researchers in the fields of hydrology, climate change, environmental science and natural hazards, and professionals and policy-makers working in flood risk mitigation, hydraulic engineering and remote sensing will find this an invaluable resource. This volume is the third in a collection of four books on flood disaster management theory and practice within the context of anthropogenic climate change. The others are: Floods in a Changing Climate: Extreme Precipitation by Ramesh Teegavarapu, Floods in a Changing Climate: Hydrological Modeling by P. P. Mujumdar and D. Nagesh Kumar and Floods in a Changing Climate: Risk Management by Slodoban Simonović.

This volume presents eighteen case studies of natural disasters from Australia, Europe, North America and developing countries. By comparing the impacts, it seeks to identify what moves people to adapt, which adaptive activities succeed and which fail, and the underlying reasons, and the factors that determine when adaptation is required and when simply bearing the impact may be the more appropriate response. Much has been written about the theory of adaptation and high-level, especially international, policy responses to climate change. This book aims to inform actual adaptation practice - what works, what does not, and why. It explores some of the lessons we can learn from past disasters and the adaptation that takes place after the event in preparation for the next. This volume will be especially useful for researchers and decision makers in policy and government concerned with climate change adaptation, emergency management, disaster risk reduction, environmental policy and plannin