Roman Morawski

Unlike the bulk majority of publications on philosophy of science and research ethics, which are authored by professional philosophers and intended for philosophers, this book has been written by a research practitioner and intended for research practitioners. It is distinctive by its integrative approach to methodological and ethical issues related to research practice, with special emphasis of mathematical modelling and measurement, as well as by attempted application of engineering design methodology to moral decision making. It is also distinctive by more than 200 real-world examples drawn from various domains of science and technology. It is neither a philosophical treaty nor a quick-reference guide. It is intended to encourage young researchers, especially Ph.D. students, to deeper philosophical reflection over research practice. They are not expected to have any philosophical background, but encouraged to consult indicated sources of primary information and academic textbooks containing syntheses of information from primary sources. This book can be a teaching aid for students attending classes aimed at identification of methodological and ethical issues related to technoscientific research, followed by introduction to the methodology of analysing dilemmas arising in this context.

It is argued, in this paper, that the core operation underlying any measurement—the inverse modelling under uncertainty—is equivalent to quantitative abductive reasoning which consists in the selection of the best estimate of a measurand in a set of admissible solutions, using a priori information: on the measurand, on the measuring system coupled with an object under measurement, and on the influence of the environment including the user of the measurement results. There are two key premises of this claim: a systematic interpretation of measurement in terms of inverse problems, proposed earlier by the author, and a logical link between inverse problems and abduction, identified by the Finnish philosopher of science Ilkka Niiniluoto. The title claim of this paper is illustrated with an expanded example of measuring optical spectrum by means of a low-resolution spectrometer.

From the content: Introduction Mathematical modelling Measurement Scientific explanation Context of discovery Context of justification Uncertainty of scientific knowledge Morality and moral philosophy System ofvalues associated with science General principles of moral decision-making Researchethics Methodological and ethical issues related to experimentation Methodological and ethical issues to researchinformation Methodological and ethical issuesrelated to legal protection of intellectual property.