Observation And Theory In Science

Originally published in 1971. The three contributions collected in this volume deal with different aspects of a single theme—the logical status of scientific theories in their relation to observation. These lectures, authored by different thinkers, treat this theme in connection with some controversies in the philosophy of science. A nonspecialist who reads these lectures should realize that the theme itself is a perennial one with an ancient lineage. It has concerned philosophers from the earliest era of philosophy on down through the centuries. A central philosophical issue at stake in the lectures is the question of whether scientific theories are testable in terms of our observations such that we can know whether some theories are true and others false. Although differing in their emphases, all three contributors seek a more plausible and nonskeptical philosophical account of the status of scientific theories in relation to observation.

This volume is a contribution to the ongoing debate on the distinction between a ‘context of justification’ and a ‘context of discovery’. It is meant for researchers and advanced students in philosophy of science, and for natural and social scientists interested in foundational topics. Spanning a wide range of disciplines, it combines the viewpoint of philosophers and scientists and casts a new interdisciplinary perspective on the problem of observation and experimentation.

Includes bibliographical referrences and index.

The need to understand and address large-scale environmental problems that are difficult to study in controlled environments—issues ranging from climate change to overfishing to invasive species—is driving the field of ecology in new and important directions. Observation and Ecology documents that transformation, exploring how scientists and researchers are expanding their methodological toolbox to incorporate an array of new and reexamined observational approaches—from traditional ecological knowledge to animal-borne sensors to genomic and remote-sensing technologies—to track, study, and understand current environmental problems and their implications. The authors paint a clear picture of what observational approaches to ecology are and where they fit in the context of ecological science. They consider the full range of observational abilities we have available to us and explore the challenges and practical difficulties of using a primarily observational approach to achieve scientific understanding. They also show how observations can be a bridge from ecological science to education, environmental policy, and resource management. Observations in ecology can play a key role in understanding our changing planet and the consequences of human activities on ecological processes. This book will serve as an important resource for future scientists and conservation leaders who are seeking a more holistic and applicable approach to ecological science.

One of the pathways by which the scientific community confirms the validity of a new scientific discovery is by repeating the research that produced it. When a scientific effort fails to independently confirm the computations or results of a previous study, some fear that it may be a symptom of a lack of rigor in science, while others argue that such an observed inconsistency can be an important precursor to new discovery. Concerns about reproducibility and replicability have been expressed in both scientific and popular media. As these concerns came to light, Congress requested that the National Academies of Sciences, Engineering, and Medicine conduct a study to assess the extent of issues related to reproducibility and replicability and to offer recommendations for improving rigor and transparency in scientific research. Reproducibility and Replicability in Science defines reproducibility and replicability and examines the factors that may lead to non-reproducibility and non-replicability in research. Unlike the typical expectation of reproducibility between two computations, expectations about replicability are more nuanced, and in some cases a lack of replicability can aid the process of scientific discovery. This report provides recommendations to researchers, academic institutions, journals, and funders on steps they can take to improve reproducibility and replicability in science.