Nature of Science and the Scientific Method
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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. -
Science Standards
SCIENCE It is the policy of the Oklahoma State Department of Education (OSDE) not to discriminate on the basis of race, color, religion, gender, national origin, age, or disability in its programs or employment practices as required by Title VI and VII of the Civil Rights Act of 1964, Title IX of the Education Amendments of 1972, and Section 504 of the Rehabilitation Act of 1973. Civil rights compliance inquiries related to the OSDE may be directed to the Affirmative Action Officer, Room 111, 2500 North Lincoln Boulevard, Oklahoma City, Oklahoma 73105-4599, telephone number (405) 522-4930; or, the United States Department of Education’s Assistant Secretary for Civil Rights. Inquires or concerns regarding compliance with Title IX by local school districts should be presented to the local school district Title IX coordinator. This publication, printed by the State Department of Education Printing Services, is issued by the Oklahoma State Department of Education as authorized by 70 O.S. § 3-104. Five hundred copies have been prepared using Title I, Part A, School Improvement funds at a cost of $.15 per copy. Copies have been deposited with the Publications Clearinghouse of the Oklahoma Department of Libraries. DECEMBER 2013. SCIENCE Table of Contents 5-8 Introduction 9 K-5 Overview 10-18 ■ KINDERGARTEN 19-28 ■ 1ST GRADE 29-39 ■ 2ND GRADE 40-54 ■ 3RD GRADE 55-68 ■ 4TH GRADE 69-82 ■ 5TH GRADE 83 6-12 Overview 84-101 ■ 6TH GRADE 102-119 ■ 7TH GRADE 120-137 ■ 8TH GRADE 138-152 ■ PHYSICAL SCIENCE 153-165 ■ CHEMISTRY 166-181 ■ PHYSICS 182-203 ■ BIOLOGY I 204-219 ■ EARTH & SPACE SCIENCE 220-235 ■ ENVIRONMENTAL SCIENCE Introduction Science uses observation and experimentation to explain natural phenomena. -
Would ''Direct Realism'' Resolve the Classical Problem of Induction?
NOU^S 38:2 (2004) 197–232 Would ‘‘Direct Realism’’ Resolve the Classical Problem of Induction? MARC LANGE University of North Carolina at Chapel Hill I Recently, there has been a modest resurgence of interest in the ‘‘Humean’’ problem of induction. For several decades following the recognized failure of Strawsonian ‘‘ordinary-language’’ dissolutions and of Wesley Salmon’s elaboration of Reichenbach’s pragmatic vindication of induction, work on the problem of induction languished. Attention turned instead toward con- firmation theory, as philosophers sensibly tried to understand precisely what it is that a justification of induction should aim to justify. Now, however, in light of Bayesian confirmation theory and other developments in epistemology, several philosophers have begun to reconsider the classical problem of induction. In section 2, I shall review a few of these developments. Though some of them will turn out to be unilluminating, others will profitably suggest that we not meet inductive scepticism by trying to justify some alleged general principle of ampliative reasoning. Accordingly, in section 3, I shall examine how the problem of induction arises in the context of one particular ‘‘inductive leap’’: the confirmation, most famously by Henrietta Leavitt and Harlow Shapley about a century ago, that a period-luminosity relation governs all Cepheid variable stars. This is a good example for the inductive sceptic’s purposes, since it is difficult to see how the sparse background knowledge available at the time could have entitled stellar astronomers to regard their observations as justifying this grand inductive generalization. I shall argue that the observation reports that confirmed the Cepheid period- luminosity law were themselves ‘‘thick’’ with expectations regarding as yet unknown laws of nature. -
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. -
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. -
Observational Determinism for Concurrent Program Security
Observational Determinism for Concurrent Program Security Steve Zdancewic Andrew C. Myers Department of Computer and Information Science Computer Science Department University of Pennsylvania Cornell University [email protected] [email protected] Abstract This paper makes two contributions. First, it presents a definition of information-flow security that is appropriate for Noninterference is a property of sequential programs that concurrent systems. Second, it describes a simple but ex- is useful for expressing security policies for data confiden- pressive concurrent language with a type system that prov- tiality and integrity. However, extending noninterference to ably enforces security. concurrent programs has proved problematic. In this pa- Notions of secure information flow are usually based on per we present a relatively expressive secure concurrent lan- noninterference [15], a property only defined for determin- guage. This language, based on existing concurrent calculi, istic systems. Intuitively, noninterference requires that the provides first-class channels, higher-order functions, and an publicly visible results of a computation do not depend on unbounded number of threads. Well-typed programs obey a confidential (or secret) information. Generalizing noninter- generalization of noninterference that ensures immunity to ference to concurrent languages is problematic because these internal timing attacks and to attacks that exploit informa- languages are naturally nondeterministic: the order of execu- tion about the thread scheduler. Elimination of these refine- tion of concurrent threads is not specified by the language se- ment attacks is possible because the enforced security prop- mantics. Although this nondeterminism permits a variety of erty extends noninterference with observational determin- thread scheduler implementations, it also leads to refinement ism. -
Some Thoughts About Natural Law
Some Thoughts About Natural Law Phflip E. Johnsont My first task is to define the subject. When I use the term "natural" law, I am distinguishing the category from other kinds of law such as positive law, divine law, or scientific law. When we discuss positive law, we look to materials like legislation, judicial opinions, and scholarly anal- ysis of these materials. If we speak of divine law, we ask if there are any knowable commands from God. If we look for scientific law, we conduct experiments, or make observations and calculations, in order to come to objectively verifiable knowledge about the material world. Natural law-as I will be using the term in this essay-refers to a method that we employ to judge what the principles of individual moral- ity or positive law ought to be. The natural law philosopher aspires to make these judgments on the basis of reason and human nature without invoking divine revelation or prophetic inspiration. Natural law so defined is a category much broader than any particular theory of natural law. One can believe in the existence of natural law without agreeing with the particular systems of natural law advocates like Aristotle or Aquinas. I am describing a way of thinking, not a particular theory. In the broad sense in which I am using the term, therefore, anyone who attempts to found concepts of justice upon reason and human nature engages in natural law philosophy. Contemporary philosophical systems based on feminism, wealth maximization, neutral conversation, liberal equality, or libertarianism are natural law philosophies. -
Scientific Explanation
Scientific Explanation Michael Strevens For the Macmillan Encyclopedia of Philosophy, second edition The three cardinal aims of science are prediction, control, and expla- nation; but the greatest of these is explanation. Also the most inscrutable: prediction aims at truth, and control at happiness, and insofar as we have some independent grasp of these notions, we can evaluate science’s strate- gies of prediction and control from the outside. Explanation, by contrast, aims at scientific understanding, a good intrinsic to science and therefore something that it seems we can only look to science itself to explicate. Philosophers have wondered whether science might be better off aban- doning the pursuit of explanation. Duhem (1954), among others, argued that explanatory knowledge would have to be a kind of knowledge so ex- alted as to be forever beyond the reach of ordinary scientific inquiry: it would have to be knowledge of the essential natures of things, something that neo-Kantians, empiricists, and practical men of science could all agree was neither possible nor perhaps even desirable. Everything changed when Hempel formulated his dn account of ex- planation. In accordance with the observation above, that our only clue to the nature of explanatory knowledge is science’s own explanatory prac- tice, Hempel proposed simply to describe what kind of things scientists ten- dered when they claimed to have an explanation, without asking whether such things were capable of providing “true understanding”. Since Hempel, the philosophy of scientific explanation has proceeded in this humble vein, 1 seeming more like a sociology of scientific practice than an inquiry into a set of transcendent norms. -
The “Doctrine of Discovery” and Terra Nullius: a Catholic Response
1 The “Doctrine of Discovery” and Terra Nullius: A Catholic Response The following text considers and repudiates illegitimate concepts and principles used by Europeans to justify the seizure of land previously held by Indigenous Peoples and often identified by the terms Doctrine of Discovery and terra nullius. An appendix provides an historical overview of the development of these concepts vis-a-vis Catholic teaching and of their repudiation. The presuppositions behind these concepts also undergirded the deeply regrettable policy of the removal of Indigenous children from their families and cultures in order to place them in residential schools. The text includes commitments which are recommended as a better way of walking together with Indigenous Peoples. Preamble The Truth and Reconciliation process of recent years has helped us to recognize anew the historical abuses perpetrated against Indigenous peoples in our land. We have also listened to and been humbled by courageous testimonies detailing abuse, inhuman treatment, and cultural denigration committed through the residential school system. In this brief note, which is an expression of our determination to collaborate with First Nations, Inuit and Métis in moving forward, and also in part a response to the Calls to Action of the Truth and Reconciliation Commission, we would like to reflect in particular on how land was often seized from its Indigenous inhabitants without their consent or any legal justification. The Canadian Conference of Catholic Bishops (CCCB), the Canadian Catholic Aboriginal Council and other Catholic organizations have been reflecting on the concepts of the Doctrine of Discovery and terra nullius for some time (a more detailed historical analysis is included in the attached Appendix). -
Discussion Notes for Aristotle's Politics
Sean Hannan Classics of Social & Political Thought I Autumn 2014 Discussion Notes for Aristotle’s Politics BOOK I 1. Introducing Aristotle a. Aristotle was born around 384 BCE (in Stagira, far north of Athens but still a ‘Greek’ city) and died around 322 BCE, so he lived into his early sixties. b. That means he was born about fifteen years after the trial and execution of Socrates. He would have been approximately 45 years younger than Plato, under whom he was eventually sent to study at the Academy in Athens. c. Aristotle stayed at the Academy for twenty years, eventually becoming a teacher there himself. When Plato died in 347 BCE, though, the leadership of the school passed on not to Aristotle, but to Plato’s nephew Speusippus. (As in the Republic, the stubborn reality of Plato’s family connections loomed large.) d. After living in Asia Minor from 347-343 BCE, Aristotle was invited by King Philip of Macedon to serve as the tutor for Philip’s son Alexander (yes, the Great). Aristotle taught Alexander for eight years, then returned to Athens in 335 BCE. There he founded his own school, the Lyceum. i. Aside: We should remember that these schools had substantial afterlives, not simply as ideas in texts, but as living sites of intellectual energy and exchange. The Academy lasted from 387 BCE until 83 BCE, then was re-founded as a ‘Neo-Platonic’ school in 410 CE. It was finally closed by Justinian in 529 CE. (Platonic philosophy was still being taught at Athens from 83 BCE through 410 CE, though it was not disseminated through a formalized Academy.) The Lyceum lasted from 334 BCE until 86 BCE, when it was abandoned as the Romans sacked Athens. -
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.