A Brief History of Science Introduction This Course
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History of Science (HIST SCI) 1
History of Science (HIST SCI) 1 HIST SCI 133 — BIOLOGY AND SOCIETY, 1950 - TODAY HISTORY OF SCIENCE (HIST 3 credits. From medical advancements to environmental crises and global food SCI) shortages, the life sciences are implicated in some of the most pressing social issues of our time. This course explores events in the history of biology from the mid-twentieth century to today, and examines how HIST SCI/ENVIR ST/HISTORY 125 — GREEN SCREEN: ENVIRONMENTAL developments in this science have shaped and are shaped by society. In PERSPECTIVES THROUGH FILM the first unit, we investigate the origins of the institutions, technologies, 3 credits. and styles of practice that characterize contemporary biology, such From Teddy Roosevelt's 1909 African safari to the Hollywood blockbuster as the use of mice as "model organisms" for understanding human King Kong, from the world of Walt Disney to The March of the Penguins, diseases. The second unit examines biological controversies such as the cinema has been a powerful force in shaping public and scientific introduction of genetically modified plants into the food supply. The final understanding of nature throughout the twentieth and twenty-first unit asks how biological facts and theories have been and continue to be century. How can film shed light on changing environmental ideas and used as a source for understanding ourselves. Enroll Info: None beliefs in American thought, politics, and culture? And how can we come Requisites: None to see and appreciate contested issues of race, class, and gender in Course Designation: Breadth - Either Humanities or Social Science nature on screen? This course will explore such questions as we come Level - Elementary to understand the role of film in helping to define the contours of past, L&S Credit - Counts as Liberal Arts and Science credit in L&S present, and future environmental visions in the United States, and their Repeatable for Credit: No impact on the real world struggles of people and wildlife throughout the Last Taught: Spring 2021 world. -
James Clerk Maxwell
James Clerk Maxwell JAMES CLERK MAXWELL Perspectives on his Life and Work Edited by raymond flood mark mccartney and andrew whitaker 3 3 Great Clarendon Street, Oxford, OX2 6DP, United Kingdom Oxford University Press is a department of the University of Oxford. It furthers the University’s objective of excellence in research, scholarship, and education by publishing worldwide. Oxford is a registered trade mark of Oxford University Press in the UK and in certain other countries c Oxford University Press 2014 The moral rights of the authors have been asserted First Edition published in 2014 Impression: 1 All rights reserved. No part of this publication may be reproduced, stored in a retrieval system, or transmitted, in any form or by any means, without the prior permission in writing of Oxford University Press, or as expressly permitted by law, by licence or under terms agreed with the appropriate reprographics rights organization. Enquiries concerning reproduction outside the scope of the above should be sent to the Rights Department, Oxford University Press, at the address above You must not circulate this work in any other form and you must impose this same condition on any acquirer Published in the United States of America by Oxford University Press 198 Madison Avenue, New York, NY 10016, United States of America British Library Cataloguing in Publication Data Data available Library of Congress Control Number: 2013942195 ISBN 978–0–19–966437–5 Printed and bound by CPI Group (UK) Ltd, Croydon, CR0 4YY Links to third party websites are provided by Oxford in good faith and for information only. -
There Is No Pure Empirical Reasoning
There Is No Pure Empirical Reasoning 1. Empiricism and the Question of Empirical Reasons Empiricism may be defined as the view there is no a priori justification for any synthetic claim. Critics object that empiricism cannot account for all the kinds of knowledge we seem to possess, such as moral knowledge, metaphysical knowledge, mathematical knowledge, and modal knowledge.1 In some cases, empiricists try to account for these types of knowledge; in other cases, they shrug off the objections, happily concluding, for example, that there is no moral knowledge, or that there is no metaphysical knowledge.2 But empiricism cannot shrug off just any type of knowledge; to be minimally plausible, empiricism must, for example, at least be able to account for paradigm instances of empirical knowledge, including especially scientific knowledge. Empirical knowledge can be divided into three categories: (a) knowledge by direct observation; (b) knowledge that is deductively inferred from observations; and (c) knowledge that is non-deductively inferred from observations, including knowledge arrived at by induction and inference to the best explanation. Category (c) includes all scientific knowledge. This category is of particular import to empiricists, many of whom take scientific knowledge as a sort of paradigm for knowledge in general; indeed, this forms a central source of motivation for empiricism.3 Thus, if there is any kind of knowledge that empiricists need to be able to account for, it is knowledge of type (c). I use the term “empirical reasoning” to refer to the reasoning involved in acquiring this type of knowledge – that is, to any instance of reasoning in which (i) the premises are justified directly by observation, (ii) the reasoning is non- deductive, and (iii) the reasoning provides adequate justification for the conclusion. -
A Comprehensive Framework to Reinforce Evidence Synthesis Features in Cloud-Based Systematic Review Tools
applied sciences Article A Comprehensive Framework to Reinforce Evidence Synthesis Features in Cloud-Based Systematic Review Tools Tatiana Person 1,* , Iván Ruiz-Rube 1 , José Miguel Mota 1 , Manuel Jesús Cobo 1 , Alexey Tselykh 2 and Juan Manuel Dodero 1 1 Department of Informatics Engineering, University of Cadiz, 11519 Puerto Real, Spain; [email protected] (I.R.-R.); [email protected] (J.M.M.); [email protected] (M.J.C.); [email protected] (J.M.D.) 2 Department of Information and Analytical Security Systems, Institute of Computer Technologies and Information Security, Southern Federal University, 347922 Taganrog, Russia; [email protected] * Correspondence: [email protected] Abstract: Systematic reviews are powerful methods used to determine the state-of-the-art in a given field from existing studies and literature. They are critical but time-consuming in research and decision making for various disciplines. When conducting a review, a large volume of data is usually generated from relevant studies. Computer-based tools are often used to manage such data and to support the systematic review process. This paper describes a comprehensive analysis to gather the required features of a systematic review tool, in order to support the complete evidence synthesis process. We propose a framework, elaborated by consulting experts in different knowledge areas, to evaluate significant features and thus reinforce existing tool capabilities. The framework will be used to enhance the currently available functionality of CloudSERA, a cloud-based systematic review Citation: Person, T.; Ruiz-Rube, I.; Mota, J.M.; Cobo, M.J.; Tselykh, A.; tool focused on Computer Science, to implement evidence-based systematic review processes in Dodero, J.M. -
The Nobel Laureate CV Raman and His Contacts with the European Men of Science in Political Context
The Global and the Local: The History of Science and the Cultural Integration of Europe. nd Proceedings of the 2 ICESHS (Cracow, Poland, September 6-9, 2006) / Ed. by M. Kokowski. Rajinder Singh * The Nobel Laureate CV Raman and his contacts with the European men of science in political context (1) Introduction In 1928 C.V. Raman1 (1888–1970) [see Figure 1 and Box 1] and K.S. Krishnan (1898–1961) observed that if monochromatic light is passed through a transparent medium, thereafter the scattering light is accompanied by other colours. This phenomenon was later named as Raman effect.2 The effect helps to find out the molecular structure of substances. In 1930 Raman was award the Physics Nobel prize ―for his work on light scattering and the discovery of the effect named after him.‖ He was the first Asian to receive this honour. This made him extremely popular. C.V. Raman interacted with the wide scientific community for about half a century and visited many countries. Some of the important physicists who corresponded with Raman were Wladyslaw Natanson,3 Niels Bohr, Max Born, Erwin Schrödinger, Arnold Sommerfeld and Ernest Rutherford. * University of Oldenburg, Faculty V, Institute of Physics – EHF, Research Group: Physics Education, History / Philosophy of Science, Oldenburg, Germany; email: [email protected] . 1 For biographical details, see: C.V. Raman: A Short Biographical Sketch (1938); J. Mehra, Chandrasekhara Venkata Raman, (in: Dictionary of Scientific Biography, C.C. Gillispie, ed.), Vol. XI (1975), pp. 264–267; G.H. Keswani, Raman and His Effect (1980); P.R. -
Molecular Biology for Computer Scientists
CHAPTER 1 Molecular Biology for Computer Scientists Lawrence Hunter “Computers are to biology what mathematics is to physics.” — Harold Morowitz One of the major challenges for computer scientists who wish to work in the domain of molecular biology is becoming conversant with the daunting intri- cacies of existing biological knowledge and its extensive technical vocabu- lary. Questions about the origin, function, and structure of living systems have been pursued by nearly all cultures throughout history, and the work of the last two generations has been particularly fruitful. The knowledge of liv- ing systems resulting from this research is far too detailed and complex for any one human to comprehend. An entire scientific career can be based in the study of a single biomolecule. Nevertheless, in the following pages, I attempt to provide enough background for a computer scientist to understand much of the biology discussed in this book. This chapter provides the briefest of overviews; I can only begin to convey the depth, variety, complexity and stunning beauty of the universe of living things. Much of what follows is not about molecular biology per se. In order to 2ARTIFICIAL INTELLIGENCE & MOLECULAR BIOLOGY explain what the molecules are doing, it is often necessary to use concepts involving, for example, cells, embryological development, or evolution. Bi- ology is frustratingly holistic. Events at one level can effect and be affected by events at very different levels of scale or time. Digesting a survey of the basic background material is a prerequisite for understanding the significance of the molecular biology that is described elsewhere in the book. -
Outline of Science
Outline of science The following outline is provided as a topical overview of • Empirical method – science: • Experimental method – The steps involved in order Science – systematic effort of acquiring knowledge— to produce a reliable and logical conclusion include: through observation and experimentation coupled with logic and reasoning to find out what can be proved or 1. Asking a question about a natural phenomenon not proved—and the knowledge thus acquired. The word 2. Making observations of the phenomenon “science” comes from the Latin word “scientia” mean- 3. Forming a hypothesis – proposed explanation ing knowledge. A practitioner of science is called a for a phenomenon. For a hypothesis to be a "scientist". Modern science respects objective logical rea- scientific hypothesis, the scientific method re- soning, and follows a set of core procedures or rules in or- quires that one can test it. Scientists generally der to determine the nature and underlying natural laws of base scientific hypotheses on previous obser- the universe and everything in it. Some scientists do not vations that cannot satisfactorily be explained know of the rules themselves, but follow them through with the available scientific theories. research policies. These procedures are known as the 4. Predicting a logical consequence of the hy- scientific method. pothesis 5. Testing the hypothesis through an experiment – methodical procedure carried out with the 1 Essence of science goal of verifying, falsifying, or establishing the validity of a hypothesis. The 3 types of -
Principal Scientist, Pharmacology (DMPK) at Entrada Therapeutics Full-Time Opportunity in Boston, MA
Principal Scientist, Pharmacology (DMPK) at Entrada Therapeutics Full-Time Opportunity in Boston, MA Company Overview Entrada Therapeutics is a biotechnology company dedicated to transforming the treatment of devastating diseases through the intracellular delivery of biologics. Entrada’s technology enables the efficient intracellular delivery of proteins, peptides and nucleic acids, thus allowing for the development of programs across several intracellular target classes. The Company’s novel approach addresses current challenges associated with both large and small molecule therapeutics and represents a fundamental advancement in the delivery of molecules into the cytosol. Entrada is comprised of experts and leaders in both biologics development and the rare disease space. In December 2018, Entrada closed a $59 million Series A from 5AM Ventures, MPM Capital, Roche Venture Fund, MRL Ventures Fund and Agent Capital. Position Summary Entrada is hiring for a highly motivated, collaborative and innovative Principal Scientist, specializing in pharmacokinetics and pharmacology to join the Company’s intracellular biologics discovery and development efforts. The candidate will work with a world-class, multidisciplinary team of drug discovery scientists and lead the in vitro and in vivo ADME, PK, PD and toxicokinetic efforts. Specifically, the candidate will design, manage and execute in vitro and in vivo programs both in- house and at contract research organizations. The candidate will also be responsible for analyzing, interpreting and modeling -
The Law and the Brain: Judging Scientific Evidence of Intent
The Journal of Appellate Practice and Process Volume 1 Issue 2 Article 4 1999 The Law and the Brain: Judging Scientific videnceE of Intent Erica Beecher-Monas Edgar Garcia-Rill Follow this and additional works at: https://lawrepository.ualr.edu/appellatepracticeprocess Part of the Evidence Commons, Jurisprudence Commons, and the Science and Technology Law Commons Recommended Citation Erica Beecher-Monas and Edgar Garcia-Rill, The Law and the Brain: Judging Scientific videnceE of Intent, 1 J. APP. PRAC. & PROCESS 243 (1999). Available at: https://lawrepository.ualr.edu/appellatepracticeprocess/vol1/iss2/4 This document is brought to you for free and open access by Bowen Law Repository: Scholarship & Archives. It has been accepted for inclusion in The Journal of Appellate Practice and Process by an authorized administrator of Bowen Law Repository: Scholarship & Archives. For more information, please contact [email protected]. THE LAW AND THE BRAIN: JUDGING SCIENTIFIC EVIDENCE OF INTENT Erica Beecher-Monas* and Edgar Garcia-Rill, Ph.D.** INTRODUCTION As evidentiary gatekeepers, judges must be ready to evaluate expert testimony about science and the brain. A wide variety of cases present issues of mental state, many doubtless with battling experts seeking to testify on these issues. This poses a dilemma for nonspecialist judges. How is a nonscientist to judge scientific evidence? How can a nonscientist decide if testimony about mental state meets the criteria of good science? This essay offers a general overview of the issue of evaluating scientific evidence and is aimed at exploring the issues involved, but not attempting easy answers. Of necessity, this requires thinking about how science works. -
How Science Works
PB 1 How science works The Scientific Method is traditionally presented in the first chapter of science text- books as a simple recipe for performing scientific investigations. Though many use- ful points are embodied in this method, it can easily be misinterpreted as linear and “cookbook”: pull a problem off the shelf, throw in an observation, mix in a few ques- tions, sprinkle on a hypothesis, put the whole mixture into a 350° experiment—and voila, 50 minutes later you’ll be pulling a conclusion out of the oven! That might work if science were like Hamburger Helper®, but science is complex and cannot be re- duced to a single, prepackaged recipe. The linear, stepwise representation of the process of science is simplified, but it does get at least one thing right. It captures the core logic of science: testing ideas with evidence. However, this version of the scientific method is so simplified and rigid that it fails to accurately portray how real science works. It more accurately describes how science is summarized after the fact—in textbooks and journal articles—than how sci- ence is actually done. The simplified, linear scientific method implies that scientific studies follow an unvarying, linear recipe. But in reality, in their work, scientists engage in many different activities in many different sequences. Scientific investigations often involve repeating the same steps many times to account for new information and ideas. The simplified, linear scientific method implies that science is done by individual scientists working through these steps in isolation. But in reality, science depends on interactions within the scientific community. -
The Historical Turn in the Philosophy of Science
THE HISTORICAL TURN IN THE PHILOSOPHY OF SCIENCE 1 Developments in the History of Science The history of science has a long history. Aristotle’s scientific works are prefaced by historical account of those sciences, and this model persisted through medieval times until and including the rise of modern science in the era of the scientific revolution. Joseph Priestley, for example, entitled two of his books of pioneering research The History and Present State of Electricity and The History and Present State of Discov- eries Relating to Vision, Light, and Colours. For many such early modern authors the history of science serves as a propaedeutic. William Whewell’s A History of the Induc- tive Sciences (1857) is regarded as the first genuinely modern work of the history of science. Even so, Whewell’s scholarship has an extra-historical purpose, which was to furnish the materials against which a satisfactory philosophy of science could be con- structed. While Whewell rejected a Leibnizian logic of discovery, he did nonetheless believe that general principles of scientific inference could be uncovered by careful consideration of the history of scientific research. Whewell’s approach was followed by several early positivists, notably, Mach, Ostwald, and Duhem. Nonetheless, as positivism developed philosophically it also became more ahis- torical. Carnap’s programme of a priori inductive logic was premised on a distinction between a context of discovery and a context of justification. The former concerned the process of coming up with an hypothesis, whereas the latter concerns its justification relative to the evidence. The former would be the province of psychology, although it may depend so much on details of individual biography that few general principles may be derived even a posteriori. -
Achievements and Fallacies in Hume's Account of Infinite
-1- ACHIEVEMENTS AND FALLACIES IN HUME’S ACCOUNT OF INFINITE DIVISIBILITY James Franklin Hume Studies 20 (1994): 85-101 Throughout history,almost all mathematicians, physicists and philosophers have been of the opinion that space and time are infinitely divisible. That is, it is usually believedthat space and time do not consist of atoms, but that anypiece of space and time of non-zero size, howeversmall, can itself be divided into still smaller parts. This assumption is included in geometry,asinEuclid, and also in the Euclidean and non- Euclidean geometries used in modern physics. Of the fewwho have denied that space and time are infinitely divisible, the most notable are the ancient atomists, and Berkeleyand Hume. All of these assert not only that space and time might be atomic, but that theymust be. Infinite divisibility is, theysay, impossible on purely conceptual grounds. In the hundred years or so before Hume’s Tr eatise, there were occasional treatments of the matter,in places such as the Port Royal Logic, and Isaac Barrow’smathematical lectures of the 1660’s, 1 Theydonot add anything substantial to medievaltreatments of the same topic. 2 Mathematicians certainly did not take seriously the possibility that space and time might be atomic; Pascal, for example, instances the Chevalier de Me´re´’s belief in atomic space as proof of his total incompetence in mathematics. 3 The problem acquired amore philosophical cast when Bayle, in his Dictionary, tried to showthat both the assertion and the denial of the infinite divisibility of space led to contradictions; the problem thus appears as a general challenge to "Reason".