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Computer Science (R0)

Patrick Maillé

Bruno Tuffin

From Net Neutrality to ICT Neutrality

- 1.&amp;nbsp;Introduction: A Bit of History. - 2.&amp;nbsp;Definitions. - 3.&amp;nbsp;Pros and Cons: The Arguments in the Debate. - 4.&amp;nbsp;Mathematical Analysis. - 5.&amp;nbsp;Non-neutrality Pushed by Content Providers. - 6.&amp;nbsp;A More General View of Neutrality. - 7.&amp;nbsp;Search Neutrality. - 8. Algorithmic Transparency. - 9.&amp;nbsp;Tools to Monitor Neutrality. - 10.&amp;nbsp;Conclusions.

Dynamic Modeling and Econometrics in Economics and Finance

<div>This textbook introduces readers to the economic dynamics of growth and distribution and presents dynamic mathematical tools essential to understanding various economic phenomena. From ordinary differential equations to partial differential equations and stochastic differential equations, it guides readers through the mathematical landscape. Optimization problems are also highlighted, from maximizing static functionals to optimal control problems involving systems governed by the previously mentioned types of differential equation. The applications of these formal structures cover various areas of economics, including macroeconomics, growth theory, microeconomics, spatial economics, finance, income and wealth distribution, and social mobility.Written primarily for Master's and Ph.D. students, the book also offers a comprehensive reference guide for economists and applied mathematicians alike.</div>

Differential Equations, Optimal Control and Applications

Economic Dynamics and Distributions

This book examines the political economy of terrorism from a quantitative perspective. With a particular focus on India, it explores the different forms of terrorism, including contested sovereignty, revolutionary change, and secessionist movements. By evaluating terrorist activity in India over the last 20 years and comparing it with other areas that have seen political violence, the key drivers of terrorism are highlighted. The policy and economic responses to terrorism are then evaluated to consider the effectiveness of both deterrence-based and grievance-removing approaches to reducing terrorism.
This book presents a detailed and considered analysis of the causes and responses to terrorism. It will be relevant to students, researchers, and policymakers interested in political economy.
Vani Kant Borooah is Emeritus Professor of Economics at the University of Ulster.

A Quantitative Analysis for India

The Political Economy of Terrorism

Population Economics

The Economics of Immigration is written as a both a reference for researchers and as a textbook on the economics of immigration. It is aimed at two audiences: (1) researchers who are interested in learning more about how economists approach the study of human migration flows; and (2) advanced undergraduate and graduate students taking a course on migration or a labor economics course where immigration is one of the subfields studied. The book covers the economic theory of immigration, which explains why people move across borders and details the consequences of such movements for the source and destination economies. The book also describes immigration policy, providing both a history of immigration policy in a variety of countries and using the economic theory of immigration to explain the determinants and consequences of the policies. The 3rd edition provides a timely update to a topic which continues to be a major political and economic issue across the globe.

Theory, History and Policy

The Economics of Immigration

Law, Governance and Technology Series

This book offers a timely and in-depth analysis of how Non-Fungible Tokens (NFTs) and metaverse technologies are reshaping key legal concepts and regulatory frameworks in the digital age.
As blockchain-based assets and immersive virtual environments gain traction across industries—from finance and art to gaming and social interaction—they challenge foundational assumptions about property, contract, jurisdiction, and democratic governance. NFTs and Metaverses versus Law explores the legal disruptions triggered by these technologies through a multidimensional structure that blends doctrinal insight with regulatory and policy relevance.
The volume is organized into six thematic parts: it opens by clarifying core terminology and the constitutional implications of digital governance, then addresses how NFTs interact with financial market rules and investor protection. It examines the redefinition of ownership through tokenization, the challenges of smart contract enforceability, the risks of market concentration in decentralized ecosystems, and the emerging tensions between data protection and personalization in virtual spaces. Throughout, the book highlights regulatory gaps and tensions, especially in transnational digital contexts where territorial sovereignty collides with borderless code. Drawing on developments in the European Union—such as the Markets in Crypto-Assets Regulation (MiCAR), the Digital Services Act (DSA), and the Digital Markets Act (DMA)—the analysis connects legal theory with concrete regulatory responses. Accessible yet rigorous, this work speaks to scholars, practitioners, and regulators alike. It provides both analytical tools and practical perspectives for navigating legal change in an era where digital assets hold real-world value and virtual worlds increasingly intersect with our social, economic, and legal systems. NFTs and Metaverses versus Law does not merely describe a transformation in legal thinking—it contributes to shaping its direction.

How NFTs and Metaverse are Reshaping Legal Systems

Law and Politics of Virtual Worlds

SDG - Forschung, Konzepte, Lösungsansätze zur Nachhaltigkeit

Nachhaltigkeit ist mehr als nur ein Trend – sie ist eine Notwendigkeit, auch im Software-Engineering und in der Künstlichen Intelligenz. Dieses Buch beleuchtet umfassend die Dimensionen nachhaltiger Softwareentwicklung – von ressourcenschonenden Architekturen über effiziente Programmiersprachen bis hin zur Optimierung von Rechenzentren und KI-Trainingsprozessen und ordnet diese in den Kontext der UN Sustainability Development Goals (SDG) ein. Praxisnahe Fallbeispiele zeigen, wie Unternehmen langfristige, wirtschaftlich und ökologisch sinnvolle Lösungen umsetzen können. Neben technischen Aspekten werden auch unternehmerische und gesellschaftliche Perspektiven betrachtet, um ein ganzheitliches Verständnis für nachhaltige Digitalisierung zu schaffen. Ein unverzichtbarer Leitfaden für alle, die Software verantwortungsvoll entwickeln und nutzen möchten.
Zusätzliche Fragen per App: Laden Sie die Springer-Nature-Flashcards-App kostenlos herunter und nutzen Sie exklusives Zusatzmaterial, um Ihr Wissen zu prüfen.
Der Inhalt


Nachhaltigkeit


Software Engineering


Künstliche Intelligenz


Betrachtungsweisen


Der Autor
Stefan Wagenpfeil&nbsp;ist Professor für Software-Engineering und IT-Management an der PFH Göttingen. Er ist Mitglied der VR/AR Coalition und berät die EU-Kommission in Fragen der Künstlichen Intelligenz und Virtuellen Realität. Nachhaltigkeit spielt für ihn insbesondere im Bereich Zukunftstechnologien eine entscheidende Rolle.

Wie Softwareentwicklung Investitionen und Zukunft sichert

Nachhaltiges Software-Engineering

SpringerBriefs in Regional Science

This book analyzes regional business cycles in Latin America. The authors explain the nature of regional business cycles and discuss different sources of regional economic fluctuations such as technology changes, natural disasters, or supply and demand shocks. Presenting case studies on Brazil, Chile and Mexico, the authors examine the co-movement of regional business cycles as well as the differing responses of regional economies to external shocks due to regional characteristics such as availability of natural resources, and the degree of integration into national and global markets. This short book appealto students and scholars as well as policy makers interested in regional growth processes in developing countries.

A Sub-National Analysis of Economic Fluctuations

Regional Business Cycles in Mexico, Brazil, and Chile

Contributions to Finance and Accounting

This Open Access book explores the rise of robo-advisory within the broader FinTech revolution, tracing its evolution from traditional human advisors to AI-driven platforms that democratize financial services. Robo-advisory technologies are part of a rapidly evolving financial landscape shaped by digitalization, disintermediation, and changing client expectations. This work examines the drivers behind this shift, including advancements in AI and data analytics, evolving investor demands for personalization and accessibility, and the cost and scalability pressures facing financial institutions. The book differentiates rule-based from AI-powered systems, highlighting how modern robo-advisors increasingly leverage machine learning, behavioural insights, and alternative data to offer dynamic and adaptive services. Emerging trends such as hybrid advisory models, behavioural nudges, ethical challenges surrounding algorithmic transparency, and inclusivity concerns are also addressed. Moreover, this work maps out key players and market trends, emphasizing regional variations, consolidation patterns, and niche market opportunities. A novel framework of six AI-driven business models is introduced to explain how robo-advisory is strategically deployed across incumbent and disruptive financial organizations. Ultimately, robo-advisory technologies serve as a lens to understand the future trajectory of financial services where AI, automation, and behavioural design converge to reshape how individuals engage with money, risk, and long-term financial planning.

Risk Management and Ethical Considerations

AI, FinTech, and the Future of Robo-Advisory

Springer Textbooks in Law

This textbook examines the protection of competition in digital markets. It presents both the fundamental principles and the sector-specific aspects of European and German competition law and covers the recently introduced Digital Markets Act and Platform Regulation. As the regulation of competition risks in digital markets has attracted increasing legislative and judicial attention, the book offers students and practitioners a comprehensive overview of the evolving field of ‘digital competition law.’

Competition Law – Digital Markets Act – Platform Regulation

Digital Competition Law

Do you want to create data analysis reports without writing a line of code? This book introduces SAS Studio, a free, web-based data science product for educational and non-commercial purposes. The power of SAS Studio lies in its visual, point-and-click user interface, which generates SAS code. It is easier to learn SAS Studio than to learn R and Python to accomplish data cleaning, statistics, and visualization tasks.
The book includes a case study analyzing the data required to predict the results of presidential elections in the state of Maine for 2016 and 2020. In addition to the presidential elections, the book provides real-life examples, including analyses of stock, oil, and gold prices, crime, marketing, and healthcare. You will see data science in action and how easily it can be performed using complicated tasks and visualizations in SAS Studio.
You will learn, step by step, how to perform visualizations, including creating maps. In most cases, you will not need a line of code as you work with the SAS Studio graphical user interface. The book includes explanations of the code that SAS Studio generates automatically. You will learn how to edit this code to perform more complicated advanced tasks.
&nbsp;
What You Will Learn&nbsp;
<ul>
Become familiar with the SAS Studio IDE.
<li>How to create essential visualizations.</li>
<li>Know the fundamental statistical analysis required in most data science and analytics reports.</li>
<li>Clean the most common dataset problems</li>
<li>Learn linear and logistic regression for data prediction and analysis.</li>
<li>Write programs in SAS.</li>
<li>How to analyze data and get insights from it for decision-making.</li>
Learn character, numeric, date, time, and datetime functions and typecasting.
</ul>

From Clicks to Code

Learn Data Science Using SAS Studio

Lecture Notes in Economics and Mathematical Systems

This volume would prove to be a beneficial textbook option for economics faculties wishing to offer a PhD level course on quantitative developmental economics or applied economics. This reference volume offers a gentle introduction to various state-of-the-art mathematical and econometric modelling techniques with detailed applications. Each chapter, written by experienced scholars, describe a particular quantitative method for economic modelling and policy analysis. The chapters not only cover the theoretical foundations in a student-friendly language but also provide step-by-step guide to computational aspects. Real-world applications, given in each chapter, focus on the socio-economic conditions and well-being of people in the developing economies and middle-income countries.

Quantitative Methods for Applied Development Economics and Policy Analysis

This exercise book is aimed at students and teachers of economics and related subjects. It offers the opportunity to deepen skills in important methods of applied economic research and econometrics by solving different types of exercises. The book offers exercises in the areas of data, economic indicators, input-output analysis, econometric methods, trend and seasonal adjustment, simulation, and forecasting. The exercises cover both formal basics and the application of methods and interpretation of the results obtained. Other exercises draw on specific applications from the literature. The mix of rather elementary questions, illustrative applications, and examples on topics relevant to practice make the exercise book particularly clear and interesting.

Exercise Book Empirical Economic Research and Econometrics

Concealed behind digital platforms, a vast, dispersed, and largely invisible workforce quietly generates and annotates the data that powers today's AI boom. In Platform Extractivism, information scientist Julián Posada argues that these platforms are engines of extraction rooted in the enduring social inequalities and transnational power disparities of coloniality. Posada reveals that technology, especially today's so-called AI, is not artificial, autonomous, or intelligent; it inherently relies on and extracts from humanity. Drawing on mixed-methods research on three platforms in the Venezuelan data work sector, Posada exposes the human cost of this technology, revealing how digital platforms have capitalized on economic instability, targeting vulnerable populations to extract value from their precarious labor. A critical intervention in the debate on the future of work, this book provides profound insight into the implications of artificial intelligence and moves beyond the context of advanced economies to focus on the labor involved in its production. Platform Extractivism questions whether AI is a tool for freedom or an engine driving the widening the gap between the unseen workers who teach machines and the corporations that profit from them.

Data Work and the People Powering Artificial Intelligence

Platform Extractivism

From Net Neutrality to ICT Neutrality

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