Complex Data Modeling and Computationally Intensive Statistical Methods

This book provides an in-depth roadmap for qualitative research methods and data analysis across disciplines using ATLAS.ti. It encompasses and rationalizes key qualitative research concepts and methods with innovative frameworks to enrich the reader’s understanding of qualitative research methods and data analysis. The book contains multiple real-world projects that assist readers in developing conceptual and theoretical knowledge, as well as gaining insights from fieldwork, visualizing data collection, analysis, and methodological interpretations.This easy to use book provides a pragmatic approach to qualitative methods, proficiency in capturing field observations, user-friendly steps to data analysis starting from transcription, preparation of data, reading and identification of quotations, coding, memoing, commenting, code groups, creating smart codes and groups using set, semantic, and proximity operators resulting in generating numerous insightful thematic reports in avariety of

This volume covers the latest techniques used to study single nucleotide polymorphisms (SNP) genotyping, such as Sanger sequencing, qPCR, Nanopore sequencing, and PACE. The chapters in this book cover topics such as SNP nomenclature, databases, and significance of SNPs in various fields; PCR-based techniques like HRM and CD-PCR; isothermal amplification methodologies; high-throughput methods like FCS-based SNP genotyping; and guidance of data analysis, emphasizing the importance of quality control, statistical analysis, and visualization. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls. Cutting-edge and thorough, Genotyping: Methods and Protocols is a valuable resource for both new and experienced researchers who want to gain a deeper underst

This book is designed to provide students, teachers, and researchers with a text that includes a full range of statistical methods available to address commonly encountered research problems. Many textbooks for introductory, intermediate, and advanced statistics courses focus heavily on parametric methods. However, in practice the assumptions underlying these methods are frequently not met, therefore calling into question their use. This book addresses this issue by presenting parametric, nonparametric, robust, and Bayesian techniques that are appropriate for research scenarios often encountered in practice and typically found in statistics courses. For each of these major topics, the standard parametric approach is presented, along with the assumptions underlying it and the methods used to assess the viability of these assumptions. Next, a set of alternative techniques for the research scenario is presented and applied to the motivating example that begins each chapter. Each chapter c

Models and Applications of Tourists' Travel Behavior provides an overview of all possible approaches to modeling tourists' travel behavior, helping readers decide which theoretical approach should be chosen depending on the available type of data. It focuses on the connection between traditional travel behavior theories and tourist studies and introduces specific tourist contexts in travel demand modelling. It goes beyond the theoretical background of tourist travel behavior modeling and offers a practical understanding for choosing the right model and sourcing the right data. The book begins with the role of transport in tourist' travel behavior, then employs a literature review to establish the necessary background on the topic. It then goes on to describe theoretical approaches, descriptive approaches, and statistical approaches for modelling. It discusses choice models based on both Stated Preference Data and Revealed Preference Data. It concludes with chapters on machine learning

This book describes in detail a research project dedicated to liquid-particle flow using ultrasound techniques. The project consists of theoretical, experimental, data science, finite element modeling, mechanical design and project management components. The objective of the project was to develop the ultrasonic methodology for measurement and characterization of liquid flow containing solid particles, in online (real-time) measurement conditions. The project consists of primary and complementary studies. The primary studies comprise development of the ultrasonic methodology for the simultaneous measurement of the average particle concentration and flow speed parameters. The developed methodology is based on the ultrasonic attenuation spectroscopy and the sound speed measurement methods, supported by data science programs. The complementary studies include acoustic streaming, designing a small-scale rotational test cell with an annular flow channel, testing it for various applications

This 5th edition of this popular graduate textbook, presents a balanced and comprehensive treatment of both time and frequency domain methods with accompanying theory. It includes numerous examples using nontrivial data illustrate solutions to problems such as discovering natural and anthropogenic climate change, evaluating pain perception experiments using functional magnetic resonance imaging, and monitoring a nuclear test ban treaty. The R package 'astsa' has had major updates and the text will reflect those updates. In general, the graphics have been improved. New topics include random number generation, modeling and fitting predator-prey interactions, more emphasis on structural models, testing for linearity, discussion of EM algorithm is more extensive, Bayesian analysis of state space models and MCMC is more extensive (including new scripts in astsa), particle methods are introduced, stochastic volatility coverage is expanded, changepoint detection is introduced (new topic).The

From its origins in 1976, Statistical Techniques in Business and Economics has become a best seller, providing students across the business specialisms with an introductory survey of descriptive and inferential statistics. With a step-by-step approach and clear writing style, any student can learn and succeed in Business Statistics.The new edition includes a focus on the development of basic data analytical skills. Microsoft Excel, Minitab, and MegaStat are used throughout the text to illustrate statistical software analyses, and screen captures are used within the chapters, so the student becomes familiar with the nature of the software output. Additional resources are available online through Connect, with references or links in the text to Excel tutorials that provide users with clear demonstrations using statistical software to create graphical and descriptive statistics and analyses to test hypotheses.What's changed:The Nineteenth Edition made several changes to the flow and organ

This second edition volume brings together some of the best experts in the field of modern metabolomics to discuss the latest various techniques used to study specific metabolite classes, and metabolomics in bacterial and mammalian systems. The chapters in this book cover topics such as handling big data for metabolite identification and quantification, as well as building pathways for comparison with other omes, Isotopic Ratio Outlier Analysis (IROA) for quantitative analysis; cholesterol and derivatives in ocular tissues using LC-MS/MS methods; microbial metabolites analysis by mass spectrometry; the metabolomic study of tissues in different diseases; and NMR analysis in livestock metabolomics. It also includes several chapters on the emerging area of spatial metabolomics. Written in the highly successful Methods in Molecular Biology series format, the chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily repro

Data Mining: Practical Machine Learning Tools and Techniques, Fifth Edition, offers a thorough grounding in machine learning concepts, along with practical advice on applying these tools and techniques in real-world data mining situations. This highly anticipated new edition of the most acclaimed work on data mining and machine learning teaches readers everything they need to know to get going, from preparing inputs, interpreting outputs, evaluating results, to the algorithmic methods at the heart of successful data mining approaches. Extensive updates reflect the technical changes and modernizations that have taken place in the field since the last edition, including more recent deep learning content on such topics as GANs, transformers, BERT, GPT, VAE, adversarial examples, pre-training and fine-tuning, as well as a comprehensive treatment of ethical and responsible artificial intelligence topics. Authors Ian H. Witten, Eibe Frank, Mark A. Hall, and Christopher J. Pal, along with new

Statistics Explained, now in its fully revised Fourth Edition, is for students and researchers who wish to understand the statistical analyses used to analyse quantitative (numerical) research data in

The book builds on an analogy between social groups and assemblies of molecules to introduce the concepts of statistical mechanics, machine learning and data science. The idea is to bolster students' interest by proposing a new take on the topic that draws on a data analytics approach of molecules. Specifically, how the analysis of their individual features, as well as of interactions and "communication" processes can predict their properties and collective behavior, just as polling and social networking shed light on the behavior of social groups. Applications to systems at the cutting-edge of research e.g. environmental and energy applications, will be used.Key Features: Draws on a data analytics approach of molecules Covers hot topics such as artificial intelligence and machine learning of molecular trends Applications to systems at the cutting-edge of research e.g. environmental and energy applications, are used Discusses molecular simulation and links with other important, emergin

Unlock the full potential of your qualitative research projects with this invaluable manual from world-renowned authority Johnny Saldaña. This essential guide delves into the latest advancements in coding, including the integration of AI tools like ChatGPT-4, empowering researchers to enhance their data analysis processes and outcomes. This clearly updated edition offers:· Comprehensive Coverage: Explore over 35 coding methods, complete with datasets, software screenshots, and multidisciplinary academic references.· Global Appeal: Designed for an international readership, with inclusive data and real-world examples. · Practical Guidance: Clear, academically grounded advice that bridges the gap between data generation and analysis, ensuring credibility and trustworthiness. · Modern Relevance: Facilitates both manual and online coding, with detailed insights into CAQDAS and digital data handling.Ideal for students, researchers, and professionals in education, the social sciences, and bey

The assessment of risk is complex and often controversial. It is derived from the existence of a hazard, and it is characterized by the uncertainty of possible undesirable events and their outcomes. Few outcomes are as undesirable as nuclear war and nuclear terrorism. Over the decades, much has been written about particular situations, policies, and weapons that might affect the risks of nuclear war and nuclear terrorism. The nature of the concerns and the risk analysis methods used to evaluate them have evolved considerably over time. At the request of the Department of Defense, Risk Analysis Methods for Nuclear War and Nuclear Terrorism discusses risks, explores the risk assessment literature, highlights the strengths and weaknesses of risk assessment approaches, and discusses some publicly available assumptions that underpin U.S. security strategies, all in the context of nuclear war and nuclear terrorism.

This volume brings together a comprehensive and up-to-date collection of protocols that reflect the diverse experimental strategies. Chapters detail T-cell, macrophage characterization, neutrophil functional assays, organoid culture methods, spatial transcriptomics, RNA FISH, microRNA profiling, and ribosome profiling. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and key tips on troubleshooting and avoiding known pitfalls. Authoritative and cutting-edge, Autoimmunity: Methods and Protocols aims to be a useful and practical guide to new researchers and experts looking to expand their knowledge.

This volume discusses protocols for key laboratory techniques used to study Duchenne and Becker muscular dystrophies. The chapters in this book cover a wide array of topics such as biochemical assays, quantification of dystrophin and related proteins, and measurements of muscle physiology. The chapters also cover methods of DMD sequence analysis; processing and isolation of cells from muscle tissue; culture and study of patient-derived cells; and work with animal models of DMD. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls. Comprehensive and authoritative, Duchenne Muscular Dystrophy: Methods and Protocols is a valuable resource that will contribute to the standardization of practices in the study of dystrophin and dystrophin-related diseas

★ 教你在不確定世界中做出更好的選擇與判斷★ 從疫情、氣候到人生決策，一次看懂「風險」的真相★ 用最清楚易懂的方式，讓機率思維成為你的日常工具我們無法預測未來，但可以學會與不確定共存。在這個充滿風險與變數的世界裡，從健康、投資到全球危機，我們每天都在做選擇，卻往往忽略「不確定性」本身的存在。本書由英國最具影響力的統計學家帶領，透過真實案例與清晰解說，揭開機率與風險的運作方式。為什麼有些事情看似隨機，其實有跡可循？為什麼足球比賽有近四成取決於運氣？又為什麼兩副洗好的撲克牌幾乎不可能完全相同？作者用輕鬆幽默的筆法，帶你理解如何在資訊不完整的情況下更新判斷、做出更明智的決策。這不只是一本關於數據的書，而是一門關於「如何面對未知」的人生智慧。From the UK’s ‘statistical national treasure’, a clever and data-driven guide to how we can live with risk and uncertainty‘Probably the UK’s greatest living statistician’ TelegraphFrom the UK’s ‘statistical national treasure’, a clever and data-driven guide to how we can live with risk and uncertaintyWe live in a world where uncertainty is inevitable. How should we deal with what we don’t know? And what role do chance, luck and coincidence play in our lives?David Spiegelhalter has spent his career dissecting data in order to understand risks and assess the chances of what might happen in the future. In The Art of Uncertainty, he gives readers a window onto how we can all

This book provides an overview of multiple aspects of spatial language understanding and explores recent trends of modeling based on very large foundational models and their applications. The authors address the following five main themes: spatial semantic representations in both symbolic and sub-symbolic spaces; spatial information extraction computational models; reasoning over spatial language; commonsense spatial understanding; and multiple modern and state-of-the-art downstream applications of spatial language understanding including dialogue systems, narrative discourse, and grounding language in the physical world with the multi-modal problem settings. One of the essential functions of natural language is to express spatial relationships between objects. Linguistic constructs can encode highly complex structures of objects, spatial relations between them, and patterns of motion through space relative to a reference point. The complexity of spatial language understanding and its

In today’s rapidly evolving digital landscape, safeguarding critical data and systems has never been more vital—or more challenging. Systematic Security: A CISO’s Playbook by Timur Qader offers a groundbreaking guide to building a resilient and scalable security practice from the ground up. Blending real-world experience with practical insights, this book lays out a phased approach to security implementation.Timur begins with describing the current state of security and the landscape security professionals find themselves in that offer both opportunity and risk. He goes on to systematically address strategic design, operational efficiency, risk-based modeling, and a rapidly growing regulatory landscape. This essential resource provides step-by-step strategies for implementing a comprehensive security framework. Whether you''re launching a new security program or transforming an existing one, this book delivers actionable insights on governance, compliance, and advanced security operati

For the Love of Social Psychology: Theories and Theorists of Human Behavior examines the most exciting and important contributions to the study of human nature in the 20th and early 21st centuries. Focusing on thought leaders in social psychology today, author John Jost scrutinizes the theorists and their work. This is particularly important as the discipline faces a period of intense self-criticism and conflict over statistical methods and practices. The ideas of social and personality psychology, which may well constitute its greatest asset to society and to interdisciplinary scholarship, are at risk of being lost or abandoned. For the Love of Social Psychology is a critical component in understanding these various thinkers within the context of the discipline, and in providing an optimistic vision for students, theorists, and practitioners so they can fulfill their goals of bettering society through scientific means.

Advanced Engineering Mathematics, 11th Edition, is known for its comprehensive coverage, careful and correct mathematics, outstanding exercises, and self-contained subject matter parts for maximum flexibility. It opens with ordinary differential equations and ends with the topic of mathematical statistics. The analysis chapters address: Fourier analysis and partial differential equations, complex analysis, and numeric analysis.The book is written by a pioneer in the field of applied mathematics. This comprehensive volume is designed to equip students and professionals with the mathematical tools necessary to tackle complex engineering challenges and drive innovation. This edition of the text maintains those aspects of the previous editions that have led to the book being so successful.In addition to introducing a new appendix on emerging topics in applied mathematics, each chapter now features a dedicated section on how mathematical modeling and engineering can address environmental an

In 2018, the National Academies released Thriving on Our Changing Planet: A Decadal Strategy for Earth Observation from Space. The decadal survey identified key science questions and prioritized observational needs to advance U.S. efforts in Earth science and support critical applications such as climate modeling and weather prediction. In the past few years, the need for actionable data and better scientific information on Earth's interacting systems has increased in urgency, as global climate change accelerates coupled with increasing numbers of extreme weather events. At the request of NASA, this mid-term assessment evaluates progress and recommends actions to meet decadal survey priorities. This report explores ways that NASA's Earth Science Division can maintain programmatic balance, improve alignment with decadal survey priorities, and prepare for the next decadal survey.

The book Chemical Kinetics explores the study of chemical reactions from a kinetic perspective across eight chapters. It covers reaction speed, speed constant definitions, reaction order, mechanisms, and kinetic equations, as well as the influence of temperature, activation energy, and key theories like collision theory and activated complex theory. Formal kinetic equations for reactions of whole and fractional orders (zero, I, II, III) are discussed alongside methods for determining reaction order. The text examines the kinetics of reversible, parallel, and successive complex reactions, catalyzed reactions, and processes involving solids, including concepts of non-isothermal kinetics.Chemical kinetics focuses on the evolution of reactions over time, elucidating mechanisms and analyzing factors influencing reaction speed, such as temperature, pressure, catalysts, and radiation. This comprehensive study highlights the principles and applications of reaction kinetics in scientific resear

What are the principles behind intelligent systems? How are they built? What are intelligent systems useful for? How do we choose the right tool for the job? These questions are answered by Michael Negnevitsky’s Artificial Intelligence: A Guide to Intelligent Systems.Unlike many books on computer intelligence, which use complex computer science terminology and are crowded with complex matrix algebra and differential equations, this text demonstrates that the ideas behind intelligent systems are simple and straightforward. This text assumes little or no programming experience as it tackles topics like expert systems, fuzzy systems, artificial neural networks, evolutionary computation, knowledge engineering, and data mining.TABLE OF CONTENTS1. Introduction to Intelligent Systems 1.1 Intelligent Machines, or What Machines Can Do 1.2 The History of Artificial Intelligence, or From the ‘Dark Ages’ to Knowledge-based Systems 1.3 Generative AI 1.4 Summary Questions fo

This book demonstrates how to formulate the equations of mechanical systems. Providing methods of analysis of complex mechanical systems, the book has a clear focus on efficiency, equipping the reader with knowledge of algorithms that provide accurate results in reduced simulation time.The book uses Kane's method due to its efficiency, and the simple resulting equations it produces in comparison to other methods and extends it with algorithms such as order-nKane's method compensates for the errors of premature linearization, which are often inherent within vibrations modes found in a great deal of public domain softwareDescribing how to build mathematical models of multibody systems with elastic components, the book applies this to systems such as construction cranes, trailers, helicopters, spacecraft, tethered satellites, and underwater vehiclesIt also looks at topics such as vibration, rocket dynamics, simulation of beams, deflection, and matrix formulationFlexible Multibody Dynamics

With an increasing concern of personal data privacy in Hong Kong and around the world, the Office of the Privacy Commissioner for Personal Data (PCPD), Hong Kong publishes this third edition of Personal Data (Privacy) Law in Hong Kong: A Practical Guide on Compliance to provide practical guidance on the law of privacy, and the ways to protect personal data in everyday life. This third edition will guide readers through the recent developments of personal data privacy in the local, regional and global contexts with updates on recent Administrative Appeals Board and Court decisions, and investigation reports and materials from the PCPD. In addition, some most-concerned issues are discussed, such as ethical development and use of AI, the collection and use of personal data by employers during COVID-19, data protection under work-from-home arrangements, data security measures for ICT systems, guidelines on doxxing offences and data breach handling. This book will certainly provide read

Application of Artificial Intelligence in Hybrid Electric Vehicle Energy Management presents the state-of-the-art in hybrid electric vehicle system modelling and management. With a focus on learning-based energy management strategies, the book provides detailed methods, mathematical models, and strategies designed to optimize the energy management of the energy supply module of a hybrid vehicle.The book first addresses the underlying problems in Hybrid Electric Vehicle (HEV) modeling, and then introduces several artificial intelligence-based energy management strategies of HEV systems, including those based on fuzzy control with driving pattern recognition, multi objective optimization, fuzzy Q-learning and Deep Deterministic Policy Gradient (DDPG) algorithms. To help readers apply these management strategies, the book also introduces State of Charge and State of Health prediction methods and real time driving pattern recognition. For each application, the detailed experimental process

Straightforward and easy to read, Zill's A FIRST COURSE IN DIFFERENTIAL EQUATIONS WITH MODELING APPLICATIONS, 12th EDITION, gives you a thorough overview of the topics typically taught in a first course in differential equations. Your study of differential equations and its applications is supported by a bounty of pedagogical aids, including an abundance of examples, explanations, "Remarks" boxes, definitions and more.

In the first edition of this critically acclaimed book, Andrew Hoffman defined the three pillars of application security: reconnaissance, offense, and defense. In this revised and updated second edition, he examines dozens of related topics, from the latest types of attacks and mitigations to threat modeling, the secure software development lifecycle (SSDL/SDLC), and more. Hoffman, senior staff security engineer at Ripple, also provides information regarding exploits and mitigations for several additional web application technologies such as GraphQL, cloud-based deployments, content delivery networks (CDN) and server-side rendering (SSR). Following the curriculum from the first book, this second edition is split into three distinct pillars comprising three separate skill sets: Pillar 1: Recon--Learn techniques for mapping and documenting web applications remotely, including procedures for working with web applications Pillar 2: Offense--Explore methods for attacking web applications us

This book explores the experience of labour for ancient Greek farming communities using historical, archaeological, bioarchaeological, and ethnographic data. It offers a compelling and methodologically innovative approach using the moral economy, taskscapes, and embodiment as interpretative frames.Reconstructing the lived experience of ancient farmers, the book defines the physical, conceptual, and ideological contours of the farmer's world. It highlights the complex, embedded, and entangled nature of Greek agrarian life and draws on a wide range of interdisciplinary evidence to create a cultural history of rural labour. By moving beyond economic abstractions, the study reframes agricultural labour as a meaningful social and bodily practice, central to identity, community and survival.The book will be of particular interest to researchers and students of ancient history, archaeology, gender studies, and rural studies. It also appeals to readers interested in labour, embodiment, the mor

The book, in the broadest sense, is an application of quantum mechanics and statistical mechanics to the field of magnetism. It can be used for parts of a specialized course on material properties or

This third edition volume expands on the previous editions with new chapters discussing advancements in mass spectrometry resolution, sensitivity, and speed, including the refinement of the identification of peptides presented on the surface of major histocompatibility proteins. These technologies continue to advance vaccine development, as well as cancer immunotherapy and precision medicine. Furthermore, this new edition introduces new approaches for quantifying immune-active proteins and peptides and explores the increasing role of multi-omics strategies to help researchers further understand immune function. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls. Cutting-edge and comprehensive, Immunoproteomics: Methods and Protocols, Third Editi

Research Methods for Business, 9th Edition explains the principles and practices of using a systematic, organized research approach, facilitating the development of effective solutions to business challenges. Designed to help students view research from the perspective of management, this leading textbook guides readers through the entire business research process while fostering a deeper understanding of how to conduct rigorous, relevant, and ethical research.Provides a clear, student-friendly introduction to business research with an informal and accessible writing styleCovers a wide range of business research methods and practices used in areas such as human resources management, strategic management, operations management, finance, and accountingIntegrates real-world case studies and examples from various business disciplines to illustrate key conceptsEmphasizes both scientific and pragmatic approaches to research to ensure a well-rounded understandingEnhances critical thinking and

As the world moves with increasing urgency to mitigate climate change and catalyze energy transitions to net zero, understanding the governance mechanisms that will unlock barriers to energy transitions is of critical importance. This book examines how the clean energy regime complex-the fragmented, complex sphere of governance in the clean energy issue area characterized by proliferating and overlapping international institutions-can be effective in fostering energy transitions at the domestic level, particularly in emerging market and developing economies (EMDEs). Through comparative case studies of geothermal development in Indonesia and the Philippines, the chapters provide two different tales of energy transitions, demonstrating how domestic factors have hindered or facilitated progress. This book will be useful for students, researchers, and practitioners working in international relations, energy politics, political science, development studies, public policy, international law,

Elementary Linear Algebra: Applications Version, 12th Edition, gives an elementary treatment of linear algebra that is suitable for a first course for undergraduate students. The classic treatment of linear algebra presents the fundamentals in the clearest possible way, examining basic ideas by means of computational examples and geometrical interpretation. It proceeds from familiar concepts to the unfamiliar, from the concrete to the abstract. Readers consistently praise this outstanding text for its expository style and clarity of presentation. In this edition, a new section has been added to describe the applications of linear algebra in emerging fields such as data science, machine learning, climate science, geomatics, and biological modeling. New exercises have been added with special attention to the expanded early introduction to linear transformations and new examples have been added, where needed, to support the exercise sets. Calculus is not a prerequisite, but there are clea

This book constitutes the refereed post-conference proceedings of the 5th International Conference on IoT and Big Data Technologies for Health Care, IoTCARE 2024, which took place December 7-8, 2024, in Leicester, UK. The conference aims to provide a forum for presentation and discussion the state-of-art and future perspectives of Internet of Things and big data of health care. Industry experts, researchers and academics gather to share ideas and experiences surrounding frontier technologies, breakthroughs, innovative solutions and research results, as well as initiatives related to IoT and health care, and their applications. The topic focuses on the convergence of IoT and big data technologies for e-health, e-care, lifestyle, aging population, smart personal living, etc., applications.

In order to cast a satisfying vote, understand politics, or otherwise participate in political discourse or processes, voters must have some idea of what policies parties are pursuing and, more generally, 'who goes with whom.' This Element aims to both advance the study of how voters formulate and update their perceptions of party brands and persuade our colleagues to join us in studying these processes. To make this endeavor more enticing, but no less rigorous, the authors make three contributions to this emerging field of study: presenting a framework for building and interrogating theoretical arguments, aggregating a large, comprehensive data archive, and recommending a parsimonious strategy for statistical analysis. In the process, they provide a definition for voters' perceptions of party brands and an analytical schema to study them, attempt to contextualize and rationalize some competing findings in the existing literature, and derive and test several new hypotheses.

Data-Driven Learning (DDL) can be broadly defined as the use of corpus tools and techniques for learners and teachers of foreign or second language, typically in the form of concordances derived from authentic texts for inductive learning of lexicogrammar. This Element is a practical guide for language teachers and graduate students intending to explore or upgrade their use of corpora in the language classroom and beyond. In today's context, where advances in computing and information processing dominate our social and professional interactions, the use of corpora emerges as a prime resource with which to approach data-driven language learning and teaching, developing language awareness, noticing skills and critical thinking for learning that generative AI cannot do for you.