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Recent Trends and Developments in
Econophysics

Recent Trends and Developments in Econophysics

WHEN THE SYSTEM BREAKS, WHAT DO YOU DO?You're in the middle of a meltdown. The platform is down, the phones are ringing, the headlines are brutal, and your team is looking to you for answers. The usual playbooks-careful planning, expert consultation, bold strategy-aren't working. In fact, they might be making things worse.What if we told you that this is your moment to lead transformative change?Crisis Engineering is your field guide to leading through the chaos-and coming out stronger. Drawing on decades of experience inside some of the most complex systems in government and industry, Mikey Dickerson, Marina Nitze, and Matthew Weaver of Layer Aleph reveal a powerful, hands-on framework for navigating and transforming high-stakes crises. From the rescue of HealthCare.gov to wildfire response and pandemic logistics, this book offers real-world stories, practical tools, and hard-won insights into how complex systems fail-and how to help them recover. At its core is sensemaking: the invisible, human process that drives understanding, action, and ultimately, change.You'll learn: - How to identify the 5 signals of a real crisis-and use them to create space for lasting reform - Why traditional leadership instincts fail under pressure-and what to do instead - How to rapidly converge on a shared version of reality in chaotic, high-visibility moments - Why crises are not just disasters to survive, but rare opportunities for meaningful transformation Whether you're in tech, government, healthcare, or any other critical system, Crisis Engineering gives you the mindset, tools, and vocabulary to lead with clarity and create lasting change when it matters most.

Time-Tested Tools for Turning Chaos into Clarity

Crisis Engineering

Haufe Fachbuch

Agility was supposed to make software development faster, simpler, and more effective. Too often, it creates the opposite: unnecessary complexity, endless meetings, and an obsession with frameworks. This book shows that it doesen't have to be that way. Drawing on more than 25 years of international experience, and guided by the Swiss values of precision, reliability, and pragmatism, Dr. Siegfried Isele shares practical lessons from real software projects across Europe, the United States, the Middle East, and Asia. Through honest stories, practical guidance, and a touch of dry humor, he demonstrates why the principles behind successful Agile teams are becoming even more important in the age of Artificial Intelligence, and explores what AI can learn from Agile, and what Agile can gain from AI. This is an honest guide for professionals who want results, not illusions.
Contents:
<ul><li>Agile in the context of modern software development</li><li>Roles, responsibility, and leadership</li><li>Collaboration in international and distributed teams</li><li>Quality and sustainable delivery</li><li>Typical pitfalls and limitations</li><li>Agile as an organizational practice</li></ul>
"A concise, engaging guide to Agile and Scrum! Masterfully demystifying principles and practices with real-world examples and humor, this book is an invaluable resource for teams and individuals embracing Agile. A must-read to unlock your team's full potential." - Jeff Sutherland, Co-Creator of Scrum

Why real projects teach us more than any framework

Agile Software Development without Illusions

Contributions to Economics

Classical extreme value theory is the only mathematically justified framework for extrapolating into unobserved tail regions, but its standard tools were not designed for the high-dimensional, nonstationary, and causally interconnected systems that define modern risk. This book develops the necessary extensions, integrating foundational EVT with Bayesian nonparametrics, information theory, machine learning, and quantum probability across thirteen chapters in four parts.
The first part develops GEV and GPD foundations with complete measure-theoretic proofs. It extends max-stability to high dimensions using angular measure decompositions that scale to hundreds of risk factors. The second part covers nonparametric tail estimation with boundary bias correction, Bayesian Extreme Learning with entropy-regularized posteriors, Dirichlet process mixtures for heavy-tailed data, and the Extreme Value Information Criterion for tail-focused model selection. The third part introduces dynamic GEV state-space models with particle filtering for nonstationary extremes, threshold-weighted scoring rules for forecast evaluation and combination, Pareto-EVaR as a coherent risk measure that unifies GPD calibration with exponential moment constraints, and portfolio optimization under extremal transfer entropy constraints. The fourth part formalizes causal inference under regularly varying noise, develops tail-adaptive machine learning for extreme quantile estimation, and applies quantum density matrices and quantum copulas to systemic risk detection.
All theoretical results include complete proofs. Methods are implemented in R and Python with reproducible code tested on financial returns, temperature records, flood data, and cryptocurrency markets. The book serves researchers, graduate students, and advanced undergraduates in econometrics, finance, environmental science, and risk management.

Inference, Computation, and Forecasting

Contemporary Extreme Value Methods

Classroom Companion: Economics

This textbook connects three vibrant areas at the interface between economics and computer science: algorithmic game theory, computational social choice, and fair division. It thus offers an interdisciplinary treatment of collective decision making from an economic and computational perspective. Part I introduces to algorithmic game theory, focusing on both noncooperative and cooperative game theory. Part II introduces to computational social choice, focusing on both preference aggregation (voting) and judgment aggregation. Part III introduces to fair division, focusing on the division of both a single divisible resource ("cake-cutting") and multiple indivisible and unshareable resources ("multiagent resource allocation"). In all these parts, much weight is given to the algorithmic and complexity-theoretic aspects of problems arising in these areas, and the interconnections between the three parts are of central interest.

An Introduction to Algorithmic Game Theory, Computational Social Choice, and Fair Division

Economics and Computation

Written for investors, strategists, and family offices seeking new models of decision making inspired by natural intelligence.

Lessons for Human Behavior, Innovation and Strategic Investment for Family Offices

The Intelligence of Bees

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In light of the pickup of inflation at the end of 2021 and monetary policy shifts by the world's major central banks, this book examines interrelated issues in the normalization of monetary policy. It covers topics including the role of technological innovations such as derivatives and cryptocurrencies in monetary and financial management, the role of monetary policy in financial crises (especially public debt), and the major repricing needed for central banks and the global economy. In addition, the book discusses the problem of how flexible money should be and the importance of predictive tools for these decisions, with attention to the advances of languages for scientific research, including those on the workings of the economy. The work addresses the geopolitical and social challenges that have arisen as a result of the invasiveness of monetary policy in its various manifestations in the context of major leading currencies. It is aimed at scholars and students of monetary and financial economics.
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One Hundred Years After Keynes' Tract on Monetary Reform

Monetary Policy Normalization

The Regulation of Digital Technologies

The work deals with Digital Commons. These are a case of the new organizational forms developed in the realm of digital economy and fall under the notion of "Network Enterprise", substituting the classical hierarchical forms of firms with horizontal cooperation between independent agents. They are hybrid forms of organization, which reject both markets and hierarchies, as the two mainstream organizational modes of conventional economics. They are based on individual autonomy combined with egalitarian cooperative mechanisms, trying to reap the best of the organizational structure of firms without sacrificing individual autonomy.

Self-organized criticality through individual autonomy

The Contractual Networks of Digital Commons

The complexity of managing and modeling various systems, from social networks to educational institutions and technical systems, has reached unprecedented levels. Traditional approaches struggle to keep pace with the dynamic nature of these challenges, leaving scholars, educators, and professionals searching for innovative solutions. This growing problem calls for a comprehensive guide to harnessing the potential of digital technologies for effective modeling and management. Educational Perspectives on Digital Technologies in Modeling and Management is a groundbreaking book that addresses the pressing need for modern solutions to keep up with the evolving challenges of modeling systems. This research book emerges from the collaborative efforts of teaching staff from leading universities, and years of dedicated scientific research and experimentation. It focuses on modeling complex systems using digital technologies, presenting fresh insights and innovative methodologies for academics, scholars, and aspiring professionals who are delving into the world of digitalization of economic processes and their management. The text caters to the specific needs of educators, IT professionals, and business analysts. Covering a wide array of topics, from information security to speaker verification and turbulent gas flow, this book serves as a valuable resource for a diverse audience seeking to excel in their respective fields.

Educational Perspectives on Digital Technologies in Modeling and Management

In an age defined by artificial intelligence, global volatility, and rapid organizational change, the need for grounded, human-centered leadership has never been greater. Leaders today are expected to navigate technological disruption while still fostering trust, meaning, and ethical responsibility within their organizations. As AI continues to reshape decision-making, communication, and organizational structures, questions about human agency, purpose, and values have become increasingly central. This evolving landscape calls for leadership approaches that integrate technological capability with deep human insight, emotional intelligence, and moral grounding. Understanding how these dimensions interact is essential for building resilient, adaptive, and purpose-driven organizations in an AI-driven world. Inspiring Transformation Through AI-Powered Whole-Person Leadership: Synchronicity, Self-Efficacy, and Servant Leadership explores how leaders can harmonize technological advancement with enduring human values to cultivate ethical, resilient, and purpose-driven organizations. Rooted in Carl Jung's synchronicity, Albert Bandura's social cognitive theory, and servant leadership, this book examines how unseen synergy, intentional action, and humble service come together to inspire transformation across diverse contexts. Covering topics such as compassionate leadership, neurodiverse learners, and whole-person transformation, this book is an excellent academic resource for graduate and doctoral students, senior leaders, executives, managers, organizational decision-makers, leadership coaches, consultants, organizational development professionals, HR professionals, policymakers, and more.

Synchronicity, Self-Efficacy, and Servant Leadership

Inspiring Transformation Through AI-Powered Whole-Person Leadership

Entrepreneurial Place Leadership explores how locations with entrepreneurial meaning are created, maintained, exploited, and amplified to generate future value, considering how entrepreneurs lead in a complex entrepreneurial landscape.

Entrepreneurial Place Leadership

In 1517, Martin Luther nailed his 95 theses to the wall of Wittenberg church. He argued that the Church's internally consistent but absurd doctrines had pickled into a dogmatic structure of untruth. It was time for a Reformation.

Half a millennium later, Steve Keen argues that economics needs its own Reformation. In Debunking Economics, he eviscerated an intellectual church - neoclassical economics - that systematically ignores its own empirical untruths and logical fallacies, and yet is still mysteriously worshipped by its scholarly high priests. In this book, he presents his Reformation: a New Economics, which tackles serious issues that today's economic priesthood ignores, such as money, energy and ecological sustainability. It gives us hope that we can save our economies from collapse and the planet from ecological catastrophe.

Performing this task with his usual panache and wit, Steve Keen's new book is unmissable to anyone who has noticed that the economics Emperor is naked and would like him to put on some clothes.

A Manifesto

The New Economics

Recent Trends and Developments in Econophysics

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