"(A) lively book . . . on how biologists study living things. . . . Its range is enormous. . . . This is an old-fashioned book, to be read slowly, more than once, and to be thought about afterward".--Ann Finkbeiner, "The New York Times Book Review". Chart.

Covering some of science's most divisive topics, such as philosophical issues in genetics and evolution, the philosophy of biology also encompasses more traditional philosophical questions, such as free will, essentialism, and nature vs nurture. Here, Samir Okasha outlines the core issues with which contemporary philosophy of biology is engaged.

This book synthesizes a wealth of international research on the critical topic of ‘fostering understanding of complex systems in biology education’. Complex systems are prevalent in many scientific fields, and at all scales, from the micro scale of a single cell or molecule to complex systems at the macro scale such as ecosystems. Understanding the complexity of natural systems can be extremely challenging, though crucial for an adequate understanding of what they are and how they work. The term “systems thinking” has become synonymous with developing a coherent understanding of complex biological processes and phenomena. For researchers and educators alike, understanding how students’ systems thinking develops is an essential prerequisite to develop and maintain pedagogical scaffolding that facilitates students’ ability to fully understand the system’s complexity. To that end, this book provides researchers and teachers with key insights from the current research community on how to support learners systems thinking in secondary and higher education. Each chapter in the book elaborates on different theoretical and methodological frameworks pertaining to complexity in biology education and a variety of biological topics are included from genetics, photosynthesis, and the carbon cycle to ecology and climate change. Specific attention is paid to design elements of computer-based learning environments to understand complexity in biology education.

Atheists assert that the natural world has no meaning or purpose. Dr Denis Alexander, Emeritus Director of The Faraday Institute for Science and Religion at St. Edmunds College, Cambridge, draws a different conclusion. Not only do recent evolutionary biological data appear inconsistent with the claim that the world is purposeless, but the Christian doctrine of creation has provided and continues to provide both context and stimulus for the study of the natural world. Christians started biology! However, is a belief in an omnipotent, benign Creator consistent with a world of pain and suffering? From a lifetime's study in the biological sciences, Denis Alexander believes that whilst the cost of existence is extremely high, it can nonetheless be squared with the idea of a God of love whose ultimate purposes for humankind render that cost more comprehensible.

The present volume originated in 2001 when we, together with our publishing editors at (then) Kluwer Academic Publishers, realized that the th following year the 50 volume of our journal Acta Biotheoretica would see the light. We felt that this milestone should not pass unnoticed and that the appropriate way to mark it would be the publication of a special volume of papers on theoretical biology. While editing this book during 2003 and early 2004, we realized that another milestone was not far off: in 2005 it will be 70 years ago that the journal was founded. We hope that the book lying before you will serve well to mark both events. The papers collected here have been written on invitation by representatives of the theoretical biology community in The Netherlands. They are intended to reflect the entire spectrum of topics on which Acta Biotheoretica publishes, ranging from philosophy of biology on one end to mathematical biology on the other. All chapters (except our own introductory one) have been peer reviewed according to the standards that are maintained with respect to regular submissions to Acta Biotheoretica.

This edited volume presents papers on this alternative philosophy of biology that could be called “continental philosophy of biology,” and the variety of positions and solutions that it has spawned. In doing so, it contributes to debates in the history and philosophy of science and the history of philosophy of science, as well as to the craving for ‘history’ and/or ‘theory’ in the theoretical biological disciplines. In addition, however, it also provides inspiration for a broader image of philosophy of biology, in which these traditional issues may have a place. The volume devotes specific attention to the work of Georges Canguilhem, which is central to this alternative tradition of “continental philosophy of biology”. This is the first collection on Georges Canguilhem and the Continental tradition in philosophy of biology. The book should be of interest to philosophers of biology, continental philosophers, historians of biology and those interested in broader traditions in philosophy of science.

Recent technological advances have enabled comprehensive determination of the molecular composition of living cells. The chemical interactions between many of these molecules are known, giving rise to genome-scale reconstructed biochemical reaction networks underlying cellular functions. Mathematical descriptions of the totality of these chemical interactions lead to genome-scale models that allow the computation of physiological functions. Reflecting these recent developments, this textbook explains how such quantitative and computable genotype-phenotype relationships are built using a genome-wide basis of information about the gene portfolio of a target organism. It describes how biological knowledge is assembled to reconstruct biochemical reaction networks, the formulation of computational models of biological functions, and how these models can be used to address key biological questions and enable predictive biology. Developed through extensive classroom use, the book is designed to provide students with a solid conceptual framework and an invaluable set of modeling tools and computational approaches.