What are the reasons for believing scientific theories to be true? The contemporary debate around scientific realism exposes questions about the very nature of scientific knowledge. A Critical Introduction to Scientific Realism explores and advances the main topics of the debate, allowing epistemologists to make new connections with the philosophy of science. Moving from its origins in logical positivism to some of the most recent issues discussed in the literature, this critical introduction covers the no-miracles argument, the pessimistic meta-induction and structural realism. Placing arguments in their historical context, Paul Dicken approaches scientific realism debate as a particular instance of our more general epistemological investigations. The recurrent theme is that the scientific realism debate is in fact a pseudo-philosophical question. Concerned with the methodology of the scientific realism debate, Dicken asks what it means to offer an epistemological assessment of our scientific practices. Taking those practices as a guide to our epistemological reflections, A Critical Introduction to Scientific Realism fills a gap in current introductory texts and presents a fresh approach to understanding a crucial debate.

Jean-Henri Fabre was a famous French entomologist whose observations of insects were praised - this examination of various beetles is characteristic of his meticulous yet engrossing descriptions. Fabre's greatest talent was rooted in his genuine passion for entomology; a natural ability to observe the quirks and habits of small creatures, and describe them to others in a plain but lively way. As demonstrated in this book, he wrote about insects as if they were his friends - seeing their lives play out, it is thus that qualities of biography are found alongside the scientific value of this work. In life, Fabre met with backlash for his unique style - formal schools, whom he in turn criticized for dryness of tutoring - considered his books long-winded, or even frivolous. Nevertheless he managed to connect atmospheric pressure to the behavior of certain insects, while contemporaries such as Charles Darwin held Fabre in high esteem, to the point of finding his studies inspirational.

The complex relationship between technology and social outcomes is well known and has recently seen significant attention due to the deepening of technology use in many domains. This includes issues such as the reproduction of inequality due to the digital divide, threats to democracy due to misinformation propagated through social networking platforms, algorithmic biases that can perpetuate structural injustices, hardships caused to citizens due to misplaced assumptions about the gains expected from the use of information technology in government processes, and simplistic beliefs that technology can easily lead to social development. This timely work draws attention to the varying factors by which technology often leads to disempowerment effects. Featuring a Foreword by Tim Unwin, UNESCO Chair in ICT4D, Seth makes a call to technologists to burst the technology optimism bubble, build an ethos for taking greater responsibility in their work, collectivize to similarly shape the internal governance of their organizations, and engage with the rest of society to strengthen democracy and build an acceptance that the primary goal of technology projects should be to bring equality by overturning unjust societal structures.

The third volume on theoretical driven methodology in the social sciences, again edited by Hakon Leiulfsrud and Peter Sohlberg, explains how to identify sociological research objects, and the art of living theory. Theoretical concepts such as social structure, the Global South, social bonds, organisations and management are explore and developed by a broad range of authors. The methodological chapters, including critical notes on sociology and uses of statistics, the value of thought experiments in sociology, researching subjects in time and space, and an academic 'star war' between Pierre Bourdieu and Dorothy E. Smith are indispensible for researchers and students interested in theoretical construction work in the social sciences. Contributors are: Goeran Ahrne, Michela Betta, Harriet Bjerrum Nielsen, Michael Burawoy, Raju Das, David Fasenfest, Raimund Hasse, Johs Hjellbrekke, Hakon Leiulfsrud, Emil A. Royrvik, John Scott, Peter Sohlberg, Karin Widerberg and Richard Swedberg.

In this incisive analysis of academic psychology, Gregg Henriques examines the fragmented nature of the discipline and explains why the field has had enormous difficulty specifying its subject matter and how this has limited its ability to advance our knowledge of the human condition. He traces the origins of the problem of psychology to a deep and profound gap in our knowledge systems that emerged in the context of the scientific Enlightenment. To address this problem, this book introduces a new vision for scientific psychology called mental behaviorism. The approach is anchored to a comprehensive metapsychological framework that integrates insights from physics and cosmic evolution, neuroscience, the cognitive and behavioral sciences, developmental and complex adaptive systems theory, attachment theory, phenomenology, and social constructionist perspectives and is well grounded in the philosophy of science. Building on more than twenty years of work in theoretical psychology and drawing on a wide range of literature, Professor Henriques shows how this new approach to scientific knowledge fills in the gaps of our current understanding of psychology and can allow us to develop a more holistic and sophisticated way to understand animal and human mental behavioral patterns. This work will especially appeal to students and scholars of general psychology and theoretical psychology, as well as to historians and philosophers of science.

This textbook describes the basics of research in medical, clinical, and biomedical settings as well as the concepts and application of epidemiologic designs in research conduct. Design transcends statistical techniques, and no matter how sophisticated a statistical modeling, errors of design/sampling cannot be corrected. The authors of this textbook have presented a complex field in a very simplified and reader-friendly manner with the intent that such presentation will facilitate the understanding of design process and epidemiologic thinking in clinical and biomedical research. Covers these relevant topics in epidemiology: Case-Cohort Design Prospective Case-Control Quantitative Evidence Synthesis (QES) Instant Cohort Design & Case-Crossover Design Effect Modification & Interaction Epidemiologic Tree - Molecular Epidemiology & Health Disparities Epidemiologic Challenge - "Big Data," mHealth, Social Media 3 "Ts" - Team Science, Transdisciplinary Research, Translational Research Bias, Random error, Confounding Systems Science & Evidence Discovery Research is presented as an exercise around measurement, with measurement error inevitable in its conduct-hence the inherent uncertainties of all findings in clinical and biomedical research. Concise Epidemiologic Principles and Concepts covers research conceptualization, namely research objectives, questions, hypothesis, design, implementation, data collection, analysis, results, and interpretation. While the primary focus of epidemiology is to assess the relationship between exposure (risk or predisposing factor) and outcome (disease or health-related event), causal association is presented in a simplified manner, including the role of quantitative evidence synthesis (meta-analysis) in causal inference. Epidemiology has evolved over the past three decades resulting in several fields being developed. This text presents in brief the perspectives and future of epidemiology in the era of the molecular basis of medicine. With molecular epidemiology, we are better equipped with tools to identify molecular biologic indicators of risk as well as biologic alterations in the early stages of disease.

As the world has adapted to the age of digital technology, present day business leaders are required to change with the times as well. Addressing and formatting their business practices to not only encompass digital technologies, but expand their capabilities, the leaders of today must be flexible and willing to familiarize themselves with all types of global business practices. Global Business Leadership Development for the Fourth Industrial Revolution is a collection of advanced research on the methods and tactics utilized to succeed as a leader in the digital age. While highlighting topics including data privacy, corporate governance, and risk management, this book is ideally designed for business professionals, administrators, managers, executives, researchers, academicians, and business students who want to improve their understanding of the strategic role of digital technologies in the global economy, in networks and organizations, in teams and work groups, in information systems, and at the level of individuals as actors in digitally networked environments.

Desulphurization and Denitrification of Diesel Oil using Ionic Liquids: Experiments and Quantum Chemical Predictions discusses how quantum chemical calculations are applied to investigate the fundamental nature of the IL-sulphur-nitrogen systems at atomic and molecular levels. The book will help readers understand the nature of the structural relationship between molecules such as ionic liquid + aromatic sulphur + aromatic nitrogen system(s). In addition, COSMO-RS (Conductor Like Screening Model for Real Solvents) predictions and subsequent experimentation are discussed to evaluate the performance of ionic liquids for desulphurization and denitrification of diesel oil.

Textbooks and other popular venues commonly present science as a progressive "brick-by-brick" accumulation of knowledge and facts. Despite its hallowed history and familiar ring, this depiction is nowadays rejected by most specialists. There currently are two competing models of the scientific enterprise: reductionism and antireductionism. Neither provides an accurate depiction of the productive interaction between knowledge and ignorance, supplanting the old metaphor of the "wall" of knowledge. This book explores an original conception of the nature and advancement of science. Marco J. Nathan's proposed shift brings attention to a prominent, albeit often neglected, construct-the black box-which underlies a well-oiled technique for incorporating a productive role of ignorance and failure into the acquisition of empirical knowledge. The black box is a metaphorical term used by scientists for the isolation of a complex phenomenon that they have deliberately set aside or may not yet fully understand. What is a black box? How does it work? How do we construct one? How do we determine what to include and what to leave out? What role do boxes play in contemporary scientific practice? Nathan's monograph develops an overarching framework for thinking about black boxes and discusses prominent historical cases that used it, including Darwin's view of inheritance in his theory of evolution and the "stimulus-response model" in psychology, among others. By detailing some fascinating episodes in the history of biology, psychology, and economics, Nathan revisits foundational questions about causation, explanation, emergence, and progress, showing how the insights of both reductionism and antireductionism can be reconciled into a fresh and exciting approach to science.