Search results for 'Science Forecasting' (try it on Scholar)

1000+ found
Sort by:
  1. David A. Bessler & Zijun Wang (2012). D-Separation, Forecasting, and Economic Science: A Conjecture. [REVIEW] Theory and Decision 73 (2):295-314.score: 136.0
    The paper considers the conjecture that forecasts from preferred economic models or theories d-separate forecasts from less preferred models or theories from the Actual realization of the variable for which a scientific explanation is sought. D-separation provides a succinct notion to represent forecast dominance of one set of forecasts over another; it provides, as well, a criterion for model preference as a fundamental device for progress in economic science. We demonstrate these ideas with examples from three areas of economic (...)
    No categories
    Direct download (4 more)  
     
    My bibliography  
     
    Export citation  
  2. Peter Coles (2006). From Cosmos to Chaos: The Science of Unpredictability. Oxford University Press.score: 96.0
    Cosmology has undergone a revolution in recent years. The exciting interplay between astronomy and fundamental physics has led to dramatic revelations, including the existence of the dark matter and the dark energy that appear to dominate our cosmos. But these discoveries only reveal themselves through small effects in noisy experimental data. Dealing with such observations requires the careful application of probability and statistics. But it is not only in the arcane world of fundamental physics that probability theory plays such an (...)
    Direct download  
     
    My bibliography  
     
    Export citation  
  3. Michio Kaku (1997). Visions: How Science Will Revolutionize the 21st Century. Anchor Books.score: 96.0
    In a spellbinding narrative that skillfully weaves together cutting-edge research among today's foremost scientists, theoretical physicist Michio Kaku--author of the bestselling book Hyperspace --presents a bold, exhilarating adventure into the science of tomorrow. In Visions, Dr. Kaku examines in vivid detail how the three scientific revolutions that profoundly reshaped the twentieth century--the quantum, biogenetic, and computer revolutions--will transform the way we live in the twenty-first century. The fundamental elements of matter and life--the particles of the atom and the nucleus (...)
    No categories
     
    My bibliography  
     
    Export citation  
  4. Werner Arber, N. Cabibbo & Marcelo Sánchez Sorondo (eds.) (2008). The Proceedings of the Plenary Session on Predictability in Science: Accuracy and Limitations: 3-6 November 2006. Pontifical Academy of Sciences.score: 90.0
     
    My bibliography  
     
    Export citation  
  5. George Steiner & Emílio Rui Vilar (eds.) (2008). Is Science Nearing its Limits? Fundação Calouste Gulbenkian.score: 90.0
    No categories
     
    My bibliography  
     
    Export citation  
  6. Augusto Forti (ed.) (1984). Scientific Forecasting and Human Needs: Trends, Methods, and Message: Proceedings of a Symposium Held in Tbilisi, Ussr, 6-11 December 1981. [REVIEW] Pergamon.score: 78.0
    No categories
     
    My bibliography  
     
    Export citation  
  7. B. J. Mason, Peter Mathias & J. H. Westcott (eds.) (1986). Predictability in Science and Society: A Joint Symposium of the Royal Society and the British Academy Held on 20 and 21 March 1986. [REVIEW] Distributed by Scholium International.score: 78.0
     
    My bibliography  
     
    Export citation  
  8. Ota Sulc (1977). Methodology of Forecasting Complex Development Processes of the Scientific and Technological Revolution. Centre for the Study of Science, Technology, and Develop[Ment], Council of Scientific and Industrial Research.score: 78.0
     
    My bibliography  
     
    Export citation  
  9. D. Napoletani, M. Panza & D. Struppa (2011). Agnostic Science. Towards a Philosophy of Data Analysis. Foundations of Science 16 (1):1-20.score: 72.0
    In this paper we will offer a few examples to illustrate the orientation of contemporary research in data analysis and we will investigate the corresponding role of mathematics. We argue that the modus operandi of data analysis is implicitly based on the belief that if we have collected enough and sufficiently diverse data, we will be able to answer most relevant questions concerning the phenomenon itself. This is a methodological paradigm strongly related, but not limited to, biology, and we label (...)
    Direct download (7 more)  
     
    My bibliography  
     
    Export citation  
  10. D. C. Struppa (2011). Agnostic Science. Towards a Philosophy of Data Analysis. Foundations of Science 16 (1):1-20.score: 72.0
    In this paper we will offer a few examples to illustrate the orientation of contemporary research in data analysis and we will investigate the corresponding role of mathematics. We argue that the modus operandi of data analysis is implicitly based on the belief that if we have collected enough and sufficiently diverse data, we will be able to answer most relevant questions concerning the phenomenon itself. This is a methodological paradigm strongly related, but not limited to, biology, and we label (...)
    Direct download (6 more)  
     
    My bibliography  
     
    Export citation  
  11. M. A. Gareev (1998). If War Comes Tomorrow?: The Contours of Future Armed Conflict. Frank Cass.score: 66.0
    Military affairs have been affected by major changes in the 19902. The bipolar world of two superpowers has gone. The Cold War and the global military confrontation that accompanied it have ended. A new military and political order has emerged, but the world has not become more stable, indeed, wars and armed conflict have become much more common. Forecasting the contours of future armed conflict is the primary object of this work. Focusing on the impact of new technologies, General (...)
    Direct download  
     
    My bibliography  
     
    Export citation  
  12. J. B. Nation (ed.) (2003). Formal Descriptions of Developing Systems. Kluwer Academic Publishers.score: 66.0
    A cutting-edge survey of formal methods directed specifically at dealing with the deep mathematical problems engendered by the study of developing systems, in particular dealing with developing phase spaces, changing components, structures and functionalities, and the problem of emergence. Several papers deal with the modelling of particular experimental situations in population biology, economics and plant and muscle developments in addition to purely theoretical approaches. Novel approaches include differential inclusions and viability theory, growth tensors, archetypal dynamics, ensembles with variable structures, and (...)
    No categories
    Direct download  
     
    My bibliography  
     
    Export citation  
  13. Eric C. Barnes (2008). The Paradox of Predictivism. Cambridge University Press.score: 60.0
    This account of predictivism has considerable consequences for the realist/anti-realist debate.
    Direct download  
     
    My bibliography  
     
    Export citation  
  14. Michio Kaku (2012). 2100 Ke Ji da Wei Lai: Cong Xian Zai Dao 2100 Nian, Ke Ji Jiang Ru He Gai Bian Wo Men de Sheng Huo. Shi Bao Wen Hua Chu Ban Qi Ye Gu Fen You Xian Gong Si.score: 60.0
    No categories
    Translate to English
    |
     
    My bibliography  
     
    Export citation  
  15. Nelson Goodman (1983). Fact, Fiction, and Forecast. Harvard University Press.score: 58.0
    In his new foreword to this edition, Hilary Putnam forcefully rejects these nativist claims.
    Direct download  
     
    My bibliography  
     
    Export citation  
  16. Michael Specter (2009). Denialism: How Irrational Thinking Hinders Scientific Progress, Harms the Planet, and Threatens Our Lives. Penguin Press.score: 54.0
    Vioxx and the fear of science -- Vaccines and the great denial -- The organic fetish -- The era of echinacea -- Race and the language of life -- Surfing the exponential.
    Direct download  
     
    My bibliography  
     
    Export citation  
  17. Lauren N. Harkrider, Alexandra E. MacDougall, Zhanna Bagdasarov, James F. Johnson, Michael D. Mumford, Shane Connelly & Lynn D. Devenport (2014). Retracted Article: Improving Case-Based Ethics Training: How Modeling Behaviors and Forecasting Influence Effectiveness. Science and Engineering Ethics 20 (1):299-299.score: 48.0
    Direct download (5 more)  
     
    My bibliography  
     
    Export citation  
  18. Tʻae-chʻang Kim & James Allen Dator (eds.) (1999). Co-Creating a Public Philosophy for Future Generations. Praeger.score: 48.0
  19. Zengquan Zhu (2005). Guan Zhan Bi Ji: Yi Ge Zhongguo Jiang Jun Yan Zhong de Wei Lai Zhan Zheng. Chang Jiang Wen Yi Chu Ban She.score: 48.0
    Translate to English
    |
     
    My bibliography  
     
    Export citation  
  20. Brent Ranalli (2012). Climate Science, Character, and the "Hard-Won" Consensus. Kennedy Institute of Ethics Journal 22 (2):183-210.score: 42.0
    Direct download (5 more)  
     
    My bibliography  
     
    Export citation  
  21. Carlo Maria Flumiani (1978). The Economic Philosophy of History & the Science of Maximal Prediction. American Classical College Press.score: 42.0
     
    My bibliography  
     
    Export citation  
  22. Newton C. A. da Costa & FranciscoAntonio Doria (1994). Gödel Incompleteness in Analysis, with an Application to the Forecasting Problem in the Social Sciences. Philosophia Naturalis 31 (1):1-24.score: 40.0
    No categories
     
    My bibliography  
     
    Export citation  
  23. Roman Frigg, Seamus Bradley, Reason L. Machete & Leonard A. Smith, Probabilistic Forecasting: Why Model Imperfection is a Poison Pill.score: 36.0
    This volume is a serious attempt to open up the subject of European philosophy of science to real thought, and provide the structural basis for the interdisciplinary development of its specialist fields, but also to provoke reflection on the idea of ‘European philosophy of science’. This efforts should foster a contemporaneous reflection on what might be meant by philosophy of science in Europe and European philosophy of science, and how in fact awareness of it could assist (...)
    No categories
    Direct download (2 more)  
     
    My bibliography  
     
    Export citation  
  24. Robert Evans (2007). Social Networks and Private Spaces in Economic Forecasting. Studies in History and Philosophy of Science Part A 38 (4):686-697.score: 36.0
    Direct download (3 more)  
     
    My bibliography  
     
    Export citation  
  25. Neil F. Johnson (2009). Simply Complexity: A Clear Guide to Complexity Theory. Oneworld.score: 36.0
    What exactly is complexity science? Two's company, three is complexity ; Disorder rules, OK? ; Chaos and all that jazz ; Mob mentality ; Getting connected -- What can complexity science do for me? Forecasting financial markets ; Tackling traffic networks and climbing the corporate ladder ; Looking for Mr./Mrs. Right ; Coping with conflict : next-generation wars and global terrorism -- Catching a cold, avoiding super-flu and curing cancer ; The mother of all complexities : our (...)
    No categories
     
    My bibliography  
     
    Export citation  
  26. Devon Stillwell (2013). Genetic Counseling in Historical Perspective: Understanding Our Hereditary Past and Forecasting Our Genomic Future. Studies in History and Philosophy of Science Part A 44 (4):618-622.score: 36.0
    Direct download (2 more)  
     
    My bibliography  
     
    Export citation  
  27. Lambert Williams & William Thomas (2009). The Epistemologies of Non-Forecasting Simulations, Part II: Climate, Chaos, Computing Style, and the Contextual Plasticity of Error. Science in Context 22 (2):271.score: 36.0
    No categories
    Direct download (2 more)  
     
    My bibliography  
     
    Export citation  
  28. Wei Huang, Lean Yu, Shouyang Wang, Yukun Bao & Lin Wang (2006). Computational Finance and Business Intelligence-Comparisons of the Different Frequencies of Input Data for Neural Networks in Foreign Exchange Rates Forecasting. In O. Stock & M. Schaerf (eds.), Lecture Notes in Computer Science. Springer-Verlag. 517-524.score: 36.0
    No categories
     
    My bibliography  
     
    Export citation  
  29. Carolyn R. Miller (1994). Opportunity, Opportunism, and Progress:Kairos in the Rhetoric of Technology. [REVIEW] Argumentation 8 (1):81-96.score: 36.0
    As the principle of timing or opportunity,kairos serves both as a powerful theme within technological discourse and as an analytical concept that explains some of the suasory force by which such discourse maintains itself and its position in our culture. This essay makes a case for a rhetoric of technology that is distinct from the rhetoric of science and illustrates the value of the classical vocabulary for understanding contemporary rhetoric. This case is made by examining images and models of (...)
    No categories
    Direct download (4 more)  
     
    My bibliography  
     
    Export citation  
  30. Alexander Mourelatos (2005). The Ancients''Meteorology': Forecasting and Cosmic Natural History. Rhizai. A Journal for Ancient Philosophy and Science 2:279-291.score: 36.0
    No categories
    Direct download  
     
    My bibliography  
     
    Export citation  
  31. William Thomas & Lambert Williams (2009). The Epistemologies of Non-Forecasting Simulations, Part I: Industrial Dynamics and Management Pedagogy at MIT. Science in Context 22 (2):245.score: 36.0
    No categories
    Direct download (2 more)  
     
    My bibliography  
     
    Export citation  
  32. Dana Cook Grossman & Heinz Valtin (eds.) (1999). Great Issues for Medicine in the Twenty-First Century: Ethical and Social Issues Arising Out of Advances in the Biomedical Sciences. New York Academy of Sciences.score: 30.0
     
    My bibliography  
     
    Export citation  
  33. Kristine C. Harper (2006). Meteorology's Struggle for Professional Recognition in the USA (1900–1950). Annals of Science 63 (2):179-199.score: 30.0
    Summary Meteorology, a scientific discipline almost exclusively associated with weather forecasting in the first half of the twentieth century in the USA, was viewed with disdain by more mathematically based scientific communities. A descriptive science lacking in physical and mathematical rigor, meteorology was typically without an academic home in US colleges and universities. This stood in sharp contrast to the meteorological communities across the Atlantic which were supported by dedicated geophysical institutes. Four factors kept US meteorologists, unlike their (...)
    No categories
    Direct download (3 more)  
     
    My bibliography  
     
    Export citation  
  34. Barbara L. Neuby (ed.) (1998). Relevancy of the Social Sciences in the Next Millennium. The State University of West Georgia.score: 30.0
     
    My bibliography  
     
    Export citation  
  35. Massimo Pigliucci (2013). When Science Studies Religion: Six Philosophy Lessons for Science Classes. Science and Education 22 (1):49-67.score: 27.0
    It is an unfortunate fact of academic life that there is a sharp divide between science and philosophy, with scientists often being openly dismissive of philosophy, and philosophers being equally contemptuous of the naivete ́ of scientists when it comes to the philosophical underpinnings of their own discipline. In this paper I explore the possibility of reducing the distance between the two sides by introducing science students to some interesting philosophical aspects of research in evolutionary biology, using biological (...)
    Translate to English
    | Direct download  
     
    My bibliography  
     
    Export citation  
  36. Massimo Pigliucci & Maarten Boudry (2011). Why Machine-Information Metaphors Are Bad for Science and Science Education. Science and Education 20 (453):471.score: 27.0
    Genes are often described by biologists using metaphors derived from computa- tional science: they are thought of as carriers of information, as being the equivalent of ‘‘blueprints’’ for the construction of organisms. Likewise, cells are often characterized as ‘‘factories’’ and organisms themselves become analogous to machines. Accordingly, when the human genome project was initially announced, the promise was that we would soon know how a human being is made, just as we know how to make airplanes and buildings. Impor- (...)
    Translate to English
    | Direct download  
     
    My bibliography  
     
    Export citation  
  37. Massimo Pigliucci (2014). 5 Questions on Science & Religion. In Gregg D. Caruso (ed.), 5 Questions on Science & Religion. Automatic Press. 163-170.score: 27.0
    Are science and religion compatible when it comes to understanding cosmology (the origin of the universe), biology (the origin of life and of the human species), ethics, and the human mind (minds, brains, souls, and free will)? Do science and religion occupy non-overlapping magisteria? Is Intelligent Design a scientific theory? How do the various faith traditions view the relationship between science and religion? What, if any, are the limits of scientific explanation? What are the most important open (...)
    Direct download  
     
    My bibliography  
     
    Export citation  
  38. Nicholas Maxwell (1997). Must Science Make Cosmological Assumptions If It is to Be Rational?,. In T. Kelly (ed.), The Philosophy of Science: Proceedings of the Irish Philosophical Society Spring Conference. Irish Philosophical Society.score: 27.0
    Cosmological speculation about the ultimate nature of the universe, being necessary for science to be possible at all, must be regarded as a part of scientific knowledge itself, however epistemologically unsound it may be in other respects. The best such speculation available is that the universe is comprehensible in some way or other and, more specifically, in the light of the immense apparent success of modern natural science, that it is physically comprehensible. But both these speculations may be (...)
    Translate to English
    | Direct download (2 more)  
     
    My bibliography  
     
    Export citation  
  39. Sharon Crasnow (2008). Feminist Philosophy of Science: 'Standpoint' and Knowledge. [REVIEW] Science and Education 17 (10):1089-1110.score: 27.0
    Feminist philosophy of science has been criticized on several counts. On the one hand, it is claimed that it results in relativism of the worst sort since the political commitment to feminism is prima facie incompatible with scientific objectivity. On the other hand, when critics acknowledge that there may be some value in work that feminists have done, they comment that there is nothing particularly feminist about their accounts. I argue that both criticisms can be addressed through a better (...)
    Direct download (4 more)  
     
    My bibliography  
     
    Export citation  
  40. Thomas Mormann (2013). Topology as an Issue for History of Philosophy of Science. In Hanne Andersen, Dennis Dieks, Wenceslao J. Gonzalez, Thomas Uebel & Gregory Wheeler (eds.), New Challenges to Philosophy of Science. Springer. 423--434.score: 27.0
    Since antiquity well into the beginnings of the 20th century geometry was a central topic for philosophy. Since then, however, most philosophers of science, if they took notice of topology at all, considered it as an abstruse subdiscipline of mathematics lacking philosophical interest. Here it is argued that this neglect of topology by philosophy may be conceived of as the sign of a conceptual sea-change in philosophy of science that expelled geometry, and, more generally, mathematics, from the central (...)
    Direct download (3 more)  
     
    My bibliography  
     
    Export citation  
  41. Ave Mets & Piret Kuusk (2009). The Constructive Realist Account of Science and its Application to Ilya Prigogine's Conception of Laws of Nature. Foundations of Science 14 (3):239-248.score: 27.0
    Sciences are often regarded as providing the best, or, ideally, exact, knowledge of the world, especially in providing laws of nature. Ilya Prigogine, who was awarded the Nobel Prize for his theory of non-equilibrium chemical processes—this being also an important attempt to bridge the gap between exact and non-exact sciences [mentioned in the Presentation Speech by Professor Stig Claesson (nobelprize.org, The Nobel Prize in Chemistry 1977)]—has had this ideal in mind when trying to formulate a new kind of science. (...)
    Direct download (4 more)  
     
    My bibliography  
     
    Export citation  
  42. Paul Hoyningen-Huene (1993). Reconstructing Scientific Revolutions: Thomas S. Kuhn's Philosophy of Science. University of Chicago Press.score: 27.0
    Few philosophers of science have influenced as many readers as Thomas S. Kuhn. Yet no comprehensive study of his ideas has existed--until now. In this volume, Paul Hoyningen-Huene examines Kuhn's work over four decades, from the days before The Structure of Scientific Revolutions to the present, and puts Kuhn's philosophical development in a historical framework. Scholars from disciplines as diverse as political science and art history have offered widely differing interpretations of Kuhn's ideas, appropriating his notions of paradigm (...)
    Direct download (2 more)  
     
    My bibliography  
     
    Export citation  
  43. Babette Babich (2006). Gay Science: Science and Wissenschaft, Leidenschaft and Music. In Keith Ansell-Pearson (ed.), Gay Science: Science and Wissenschaft, Leidenschaft and Music. Blackwell.score: 27.0
    On Nietzsche, science, the oral tradition -- or the troubadours and ancient Greek music drama.
    Translate to English
    | Direct download  
     
    My bibliography  
     
    Export citation  
  44. Nicholas Maxwell (2009). The Metaphysics of Science: An Account of Modern Science in Terms of Principles, Laws and Theories. International Studies in the Philosophy of Science 23 (2):228 – 232.score: 27.0
    This is a review of Craig Dilworth's The Metaphysics of Science (Dordrecht, Springer, 2007). The book propounds an immensely important idea. Science makes metaphysical presuppositions. Unfortunately, Dilworth ignores work that has been done on this issue which takes the matter much further than he does.
    Direct download (5 more)  
     
    My bibliography  
     
    Export citation  
  45. K. Brad Wray (2000). Invisible Hands and the Success of Science. Philosophy of Science 67 (1):163-175.score: 27.0
    David Hull accounts for the success of science in terms of an invisible hand mechanism, arguing that it is difficult to reconcile scientists' self-interestedness or their desire for recognition with traditional philosophical explanations for the success of science. I argue that we have less reason to invoke an invisible hand mechanism to explain the success of science than Hull implies, and that many of the practices and institutions constitutive of science are intentionally designed by scientists with (...)
    Direct download (7 more)  
     
    My bibliography  
     
    Export citation  
  46. Agnieszka Lekka-Kowalik (2010). Why Science Cannot Be Value-Free. Science and Engineering Ethics 16 (1):33-41.score: 27.0
    Against the ideal of value-free science I argue that science is not––and cannot be––value-free and that relevant values are both cognitive and moral. I develop an argument by indicating various aspects of the value-ladenness of science. The recognition of the value-ladenness of science requires rethinking our understanding of the rationality and responsibility of science. Its rationality cannot be seen as merely instrumental––as it was seen by the ideal of value-free science––for this would result in (...)
    Direct download (5 more)  
     
    My bibliography  
     
    Export citation  
  47. Pierluigi Barrotta (1998). Contemporary Philosophy of Science in Italy: An Overview. [REVIEW] Journal for General Philosophy of Science 29 (2):327-345.score: 27.0
    The paper analyses the development of some themes in the contemporary philosophy of science in Italy. Section 1 reviews the dabate on the legacy of neopositivism. The spread of the philosophy of Popper is outlined in Section 2, with particular regard to the problem of the vindication of induction. Section 3 deals with the debate on the incommensurability thesis, while Section 4 examines its consequences on the possible relationships between historical and epistemological studies of science. The last section (...)
    Direct download (8 more)  
     
    My bibliography  
     
    Export citation  
  48. Matthew J. Brown (2014). Values in Science Beyond Underdetermination and Inductive Risk. Philosophy of Science 80 (5):829-839.score: 27.0
    Proponents of the value ladenness of science rely primarily on arguments from underdetermination or inductive risk, which share the premise that we should only consider values where the evidence runs out or leaves uncertainty; they adopt a criterion of lexical priority of evidence over values. The motivation behind lexical priority is to avoid reaching conclusions on the basis of wishful thinking rather than good evidence. This is a real concern, however, that giving lexical priority to evidential considerations over values (...)
    Direct download (5 more)  
     
    My bibliography  
     
    Export citation  
  49. Monica Aufrecht (2011). The Context Distinction: Controversies Over Feminist Philosophy of Science. [REVIEW] European Journal for Philosophy of Science 1 (3):373-392.score: 27.0
    The “context of discovery” and “context of justification” distinction has been used by Noretta Koertge and Lynn Hankinson Nelson in debates over the legitimacy of feminist approaches to philosophy of science. Koertge uses the context distinction to focus the conversation by barring certain approaches. I contend this focus masks points of true disagreement about the nature of justification. Nonetheless, Koertge raises important questions that have been too quickly set aside by some. I conclude that the context distinction should not (...)
    Direct download (7 more)  
     
    My bibliography  
     
    Export citation  
  50. Nigel Stepp, Anthony Chemero & Michael T. Turvey (2011). Philosophy for the Rest of Cognitive Science. Topics in Cognitive Science 3 (2):425-437.score: 27.0
    Cognitive science has always included multiple methodologies and theoretical commitments. The philosophy of cognitive science should embrace, or at least acknowledge, this diversity. Bechtel’s (2009a) proposed philosophy of cognitive science, however, applies only to representationalist and mechanist cognitive science, ignoring the substantial minority of dynamically oriented cognitive scientists. As an example of nonrepresentational, dynamical cognitive science, we describe strong anticipation as a model for circadian systems (Stepp & Turvey, 2009). We then propose a philosophy of (...)
    Direct download (10 more)  
     
    My bibliography  
     
    Export citation  
1 — 50 / 1000