Electricity is an indicator that shows the progress of a civilization; it is a product that has greatly changed the way we think about the world. Electricity price forecasting became a fundamental task in all countries due to the deregulation of the electricity market in the 1990s. This work examines the effectiveness of using multiple variables for price prediction given the large number of factors that could influence the price of the electricity market. The tests were carried out over (...) four periods using data from Spain and deep learning models. Two different attribute selection methods based on Pearson’s correlation coefficient have been used to improve the efficiency of the training process. The variables used as input to the different prediction models were chosen, considering those most commonly used previously in the literature. This study attempts to test whether using time series lags improves the non-use of lags. The results obtained have shown that lags improve the results compared to a previous work in which no lags were used. (shrink)

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 (...) modeling. (shrink)

Forecasting involves an underlying conceptualization of probability. It is this that gives sense to the notion of precision in number that makes us think of economic forecasting as more than simply complicated guesswork. We think of it as well-founded statement, a science and not an art of numbers. However, this understanding is at odds with the nature of social reality and the attributes of the forecaster. We should think differently about how we both anticipate and make the (...) future and what this means. Foresight is perhaps a more appropriate term. This paper addresses two issues that rarely receive attention in the field of economics. First, why is there a continued high demand for economic forecasts despite their lack of success in anticipating significant turning points in any given system? Second, what are forecasts actually assuming about the nature of a system and the future state of the world? In the paper I approach these issues indirectly. My intention is to highlight their significance by setting out a series of arguments that encapsulate the characteristics of a forecaster required to match a common understanding of what forecasting is intended to do. The structure of this paper is unusual for a contribution in the field of economics. It follows a format more commonly used in analytical philosophy when the author wants to focus on a problem and where the intention is to provoke further questioning, rather than supply ready answers. As such, it should not be read as a comprehensive account of all possible approaches to methods or philosophies of forecasting and attendant issues of probability. Three points are worth stating at the outset as a guide to what follows: Forecasting tends to forget that it is conjecture and what that really means. Its scientism overburdens how it is articulated and how it is perceived. We tend to think of forecasting as degrees of precision in prediction and of successful prediction as successful description of phenomena at some future point. There is, as the following discussion demonstrates, something basically inconsistent within the implications of this minimalism. Since the greater part of the credibility of, and authority of, economics resides in its claims to effective forecasting these points are highly relevant to the state of the discipline. Read the Open Peer Discussion on this paper ». (shrink)

In his new foreword to this edition, Hilary Putnam forcefully rejects these nativist claims.

_Purpose._ The paper attempts to investigate the constructivist approach to the social world and its implications for social forecasting. _Theoretical basis._ Social forecasting is mainly based on the idea that a human is "determined ontologically". Using the methodology of the natural sciences, most predictions and forecasts fail to encompass all the multiplicity and variability of the future. The postmodern interpretation of reality gave impetus to the development of the new approaches to it. A constructivist approach to social reality (...) began to compete with essentialism. Social constructivism asserts that reality is a set of mental constructs, that it is ultimately a text. Radical constructivism interprets reality as a specific system of meanings emphasizing the artifact aspects of our reality. An interpretation of the social actors’ behavior is based on the ways of understanding accepted in a given society/community and do not possess ontological universality. The creators of social space are also its creations. _Originality._ Within the framework of the postmodern approach to reality, the second-order forecasting, or forecasting of forecasting, is particularly relevant. That means that the observers-forecasters must be included in the forecast as a part of one-unified process. At this stage, a forecaster must realize that he/she is a part of a larger system, a part of the world he/she observes (and actually creates). The situation changes dramatically – the forecaster is forced to take responsibility for his/her own observations. This ultimately leads to the "humanization" of forecasting. Acting in our world full of uncertainty, unpredictability, and turbulence, modern researchers of the future should be mindful of powerful social constructs of reality. _Conclusions._ Social forecasting should be embedded in a wider context, which requires a joint effort of philosophers, foresight practitioners, historians, psychologists, sociologists, political scientists, religious scholars, anthropologists, etc. To develop promising visions and scenarios of the future, it is necessary to answer the question "Why?", which is the task of philosophically oriented research, because without this answer, we will deal with the consequences; and the implementation of the negative scenarios will reproduce itself in new socio-cultural and historical conditions. An in-depth understanding of this "Why?" provides opportunities to be in the flow of transformations. The study of the deep mental processes of the actors of social changes, the multidimensional influence on the transformation of social structures can gradually expand an answer to the question "Why?", that can cause positive changes and, accordingly, allow to create fruitful projects of the future and form effective behavioral strategies that correspond to the desired level of social development. (shrink)

This article provides a comparative institutional analysis between El Niño/southern Oscillation forecasting systems in the Pacific and southern Africa with a focus on how scientific information is connected to the decision-making process. With billions of dollars in infrastructure and private property and human health and well-being at risk during ENSO events, forecasting systems have begun to be embraced by managers and firms at multiple levels. The study suggests that such systems need to consciously support the coproduction of knowledge. (...) A critical component of such coproduction seems to be managing the boundaries between science and policy and across disciplines, scale, and knowledges to create information that is salient, credible, and legitimate to multiple audiences. This research suggests institutional mechanisms that appear to be useful in managing such boundaries, including mechanisms for structuring convening, translation, collaboration, and mediation functions. (shrink)

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 (...) philosophers interpret and motivate their research through a stronger collective identity. The overarching aim is to set the background for a collaborative project organising, systematising, and ultimately forging an identity for, European philosophy of science by creating research structures and developing research networks across Europe to promote its development. (shrink)

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 (...) philosophers interpret and motivate their research through a stronger collective identity. The overarching aim is to set the background for a collaborative project organising, systematising, and ultimately forging an identity for, European philosophy of science by creating research structures and developing research networks across Europe to promote its development. (shrink)

Predicting the future state of a system has always been a natural motivation for science and practical applications. Such a topic, beyond its obvious technical and societal relevance, is also interesting from a conceptual point of view. This owes to the fact that forecasting lends itself to two equally radical, yet opposite methodologies. A reductionist one, based on first principles, and the naïve-inductivist one, based only on data. This latter view has recently gained some attention in response to (...) the availability of unprecedented amounts of data and increasingly sophisticated algorithmic analytic techniques. The purpose of this note is to assess critically the role of big data in reshaping the key aspects of forecasting and in particular the claim that bigger data leads to better predictions. Drawing on the representative example of weather forecasts we argue that this is not generally the case. We conclude by suggesting that a clever and context-dependent compromise between modelling and quantitative analysis stands out as the best forecasting strategy, as anticipated nearly a century ago by Richardson and von Neumann. (shrink)

ArgumentIt seems theoretically convenient to construe knowledge practices in financial markets and organizations as “applied economics.” Alternatively or additionally, one might argue that practitioners draw on economic knowledge in order to systematically orient their actions towards profit-maximization; models, then, are understood as devices that make calculative rationality possible. However, empirical studies do not entirely confirm these theoretical positions: Practitioners’ actual calculations are often not “framed” by models; organizations and institutions influence the choice and adoption of models; and different professional groups (...) in financial markets have diverging attitudes towards model calculations. In order to account for this diversity, this article proposes the concept ofcultures of economic and financial expertise; the concept focuses on the patterns of knowledge practices and knowledge-related self-definitions of groups within financial organizations and markets; it also facilitates an analysis of the relations between and, more specifically, the hierarchies among different practices and identities. The article then goes on to explore the process of foreign exchange forecasting in a particular bank. The description immediately reveals that two groups are involved in this process: economists and analysts. These groups maintain quite different practices and self-descriptions in relation to models: While the economists in the bank use the models as organizational resources for consistent forecasting procedures and observe data with the help of simple model structures, analysts approach model forecasts from the perspective of critics: They see limits in the variable-centered, as opposed to a “thematic” approach and they disregard a model's imposed temporality. Nevertheless, analysts use model forecasts as anchors for developing their own “paths” and stories about possible future expectation changes in the markets. The specific division of labor between economists and analysts, and specifically the dominant role of analysts in the forecasting process, fit into a larger picture: The rise of institutional investors in the foreign exchange markets and their demand for genuine market knowledge for speculative investment projects has contributed to the rise and dominance of analysts’ culture. (shrink)

The article discusses the problem of the possibility of knowing the future, especially the future of social phenomena compared with the future of natural ones. This problem is formulated as a dilemma: the future can be explored or can be only constructed. The idea of constructive character of knowledge of the future is viewed in two possible interpretations.The first one is a special case of the constructivist interpretation of knowledge, according to which different pictures of the future are arbitrarily constructed (...) on the basis of information about the past and current state. The second interpretaion can be presented in the form of a praxeological question: what should be an action in relation to the future, first and foremost to the future of social phenomena - cognitive or creative. It is shown that, in the first case, there is an ability to interpret knowledge of the future from the point of view of epistemological realism, in the second case, both cognitive and creative types of activity as a pragmatic position in relation to the future are necessary and cognitive activity cannot be reduced to creative one. It is also shown that forecaster’s dilemma reflects the problematic nature of forecasting under the conditions of transformation of scientific rationality and point of view of common sense, which is observed in recent decades. (shrink)

In this paper an Artificial Neural Network (ANN) model was used to help cars dealers recognize the many characteristics of cars, including manufacturers, their location and classification of cars according to several categories including: Make, Model, Type, Origin, DriveTrain, MSRP, Invoice, EngineSize, Cylinders, Horsepower, MPG_Highway, Weight, Wheelbase, Length. ANN was used in prediction of the number of miles per gallon when the car is driven in the city(MPG_City). The results showed that ANN model was able to predict MPG_City with 97.50 (...) % accuracy. The factor of DriveTrain has the most influence on MPG_City evaluation. Similar studies can be carried out for the evaluation of other characteristics of cars. (shrink)

The author’s vision of the problem of long-term forecasting in education is presented in the article. The modern education, going beyond the limits of class-lesson learning system is gaining more and more territory in direct and figurative meanings. Its non-linear trajectory of movement and rhythm is a process that occurs by the model of Dispars - the principle of nomadic vital activity. The author is of the opinion that only a combination of forecasting with strategic and indicative planning (...) as in Foresight technology may in a certain extent contribute to the state regulation of the education system. (shrink)

ArgumentWe continue our analysis of modeling practices that focus more on qualitative understanding of system behavior than the attempt to provide sharp forecasts. The argument here is built around three episodes: the ambitious work of the Princeton Meteorological Project; the seemingly simple models of convection in weather systems by Edward Lorenz at MIT; and then finally analysis of the dripping faucet by Robert Shaw and the Dynamical Systems Collective at UC Santa Cruz. Using the Princeton Meteorological Project as an argumentative (...) foil for the later chaos work of Lorenz and Shaw, we first show how the epistemological interest of modeling came to shift fromissuingpredictions toprobingthe very meaning and limits of prediction. The second step of our argument shows that what may be seen in one context of use as a modeling technology that is error ridden, imprecise, or inadequate, may be parsed completely differently in another context. This argument about technology and practice, we argue, feeds through to epistemological conceptions of error. Far from being something that can be defined in the absolute, the notion of error is shown to be contextually plastic. (shrink)

ArgumentThis paper is the first part of a two-part examination of computer modeling practice and philosophy. It discusses electrical engineer Jay Forrester's work on Industrial Dynamics, later called System Dynamics. Forrester developed Industrial Dynamics after being recruited to the newly-established School of Industrial Management at the Massachusetts Institute of Technology (MIT), which had been seeking a novel pedagogical program for management for five years before Forrester's arrival. We argue that Industrial Dynamics should be regarded in light of this institutional context. (...) Unlike economics, as well as operations research and management science (twin fields which were also gaining traction at that time), Industrial Dynamics was not meant to be applied by mathematicians and technical specialists in consultation with managers, but by managers themselves. This concern shifted the emphasis in modeling from the specialist act of analysis of a crucial problem to the managerial act of choosing which problems were crucial and developing effective policies around them. (shrink)

The International Research Institute for Climate Prediction was created in 1996 with an “end-to-end” mission to engage in climate research and modeling on a seasonal-to-interannual time scale and to provide the results of this research in a useful way to farmers, fishermen, public health officials, and others capable of making the best of the predicted climate conditions. As a boundary organization, IRI straddles the divides between the production and use of research and between the developed world and the developing world. (...) This article describes the institutional history of IRI, examining how the end-to-end mission evolved over time, how it is becoming institutionalized in IRI as a boundary organization, and the ongoing challenges it presents to managing the boundary between climate variability research and societal applications. (shrink)

A Critical Notice of Liba Taub, Ancient Meteorology, Routledge, London and New York, 2003.

From ancient times, western civilization has been driven by a trust in scientific progress. Is Science Biology and biogenetics promise spectacular advances, mathematics unfolds new areas of understanding. This work explores some of the possible consequences for society and for the future of science itself.".

The pathway from scientific knowledge (based on data, models, and forecasts) to societal implications and policy advice is a perilous one. The shift from "is" to "ought" may be slippery in terms of climate, biodiversity, regulations, and business. Yet, what is to be done if one's research discloses that fellow humans are unwittingly carrying out destructive actions on a large scale? If they are unaware of the dynamics within which they are (or are in danger of becoming) imprisoned, is there (...) then not an ethical obligation to respond beyond the scope of one's given role? This dilemma lies at the core of the issue of science-based activism, which the life and work of Jorgen Randers in many ways epitomizes. The best means of understanding science-based activism can be found in exploring Randers' steps, as this festschrift does. [Jorgen Randers (born 1945) co-authored The Limits to Growth in 1972 and its sequels in 1992 and 2004. He is a Professor of Climate Strategy at the Norwegian Business School in Oslo where he works on climate and energy issues, system dynamics, and green growth. Randers was President of the Norwegian Business School/BI 1981-89, and Deputy Director General of WWF International 1994-99. He chaired the Norwegian Commission on a Low-Emission Society which reported in 2006. In 2012, his work 2052 - A Global Forecast for the Next Forty Years was published.] [Subject: Science, Ethics, Environmental Studies]. (shrink)

The research fieldwork dedicated to trend analysis and foresight/forecast scenarios building, represents an unusual raid in an area where economic and social sciences have invested many efforts. Nevertheless, the semiotic dimension of this subject is not sufficiently thorough; many issues are at stake:We are going to investigate this area of analysis, for its relevance in post-Greimassian studies, for its interface with social sciences, as well as for its relevance for the legitimacy of semiotics in contemporary discussions of innovation and evolution.

There are distinctive methodological and conceptual challenges in rare and severe event (RSE) forecast verification, that is, in the assessment of the quality of forecasts of rare but severe natural hazards such as avalanches, landslides or tornadoes. While some of these challenges have been discussed since the inception of the discipline in the 1880s, there is no consensus about how to assess RSE forecasts. This article offers a comprehensive and critical overview of the many different measures used to capture the (...) quality of categorical, binary RSE forecasts – forecasts of occurrence and non-occurrence – and argues that of skill scores in the literature there is only one adequate for RSE forecasting. We do so by first focusing on the relationship between accuracy and skill and showing why skill is more important than accuracy in the case of RSE forecast verification. We then motivate three adequacy constraints for a measure of skill in RSE forecasting. We argue that of skill scores in the literature only the Peirce skill score meets all three constraints. We then outline how our theoretical investigation has important practical implications for avalanche forecasting, basing our discussion on a study in avalanche forecast verification using the nearest-neighbour method (Heierli et al., 2004). Lastly, we raise what we call the “scope challenge”; this affects all forms of RSE forecasting and highlights how and why working with the right measure of skill is important not only for local binary RSE forecasts but also for the assessment of different diagnostic tests widely used in avalanche risk management and related operations, including the design of methods to assess the quality of regional multi-categorical avalanche forecasts. (shrink)

This article examines the most controversial of the activities of the India Meteorological Department : long-term seasonal forecasting for the South Asian subcontinent. Under the pressure of recurrent famines, in 1886 the imperial IMD commenced annual issue of monsoon predictions several months in advance, focused on one variable: rainfall. This state service was new to global late nineteenth-century meteorology, attempted first and most rigorously in India. Successive IMD leaders adapted the forecast in light of scientific and infrastructural developments, continuously (...) revising the underlying methods of its production. All methods failed to achieve accurate prevision. Nevertheless, the imperatives of economic administration, empire and public demand compelled IMD scientists to continue annual publication of this unreliable product. This article contends that the seasonal forecast is best understood as an enduring ritual of good governance in a monsoonal environment. Through analysis of newspaper controversies, it suggests that although the seasonal forecast was the most compelling justification for the IMD's imperial and global importance, its limitations undercut popular trust in modern meteorology. Finally, this case illustrates the centrality of ‘tropical meteorology’ to the historical development of modern atmospheric science. (shrink)

The outputs of economic forecasting—predictions for national economic indicators such as GDP, unemployment rates and inflation—are all highly visible. The production of these forecasts is a much more private affair, however, typically being thought of as the work of individual forecasters or forecast teams using their economic model to produce a forecast that is then made public. This conception over-emphasises the individual and the technical whilst silencing the broader social context through which economic forecasters develop the expertise that is (...) essential for the credibility of their predictions. In particular, economic forecasts are given meaning and fine-tuned through the social and institutional networks that give forecasters access to the expertise of a heterogeneous mix of academics, policy-makers and business people. Within these broader groups, individual forecasters often create private forecast ‘clubs’, where subscribers have privileged access to the expertise of the economist, but where the forecasters also have privileged access to their clients’ own expert knowledge. In examining these aspects of the forecasters’ work I show that the visible and audible activities of modelling and forecasting are made possible and plausible by virtue of the modeller’s invisible interaction with a wider network.Keywords: Expertise; Economic forecasting; Periodic table of expertise; Judgement. (shrink)

Affective forecasting refers to the ability to predict future emotions, a skill that is essential to making decisions on a daily basis. Studies of the concept have determined that individuals are often inaccurate in making such affective forecasts. However, the mechanisms of these errors are not yet clear. In order to better understand why affective forecasting errors occur, this article seeks to trace the theoretical roots of this theory with a focus on its multidisciplinary history. The roots of (...) affective forecasting lie mainly in economics, with early claims positing that utility played a role in decision-making. Furthermore, the philosopher Jeremy Bentham’s descriptions of utilitarianism played a major role in our understanding of whether to define utility as a hedonic quality. The birth of behavioural economics resulted in a paradigm shift, introducing the concept of cognitive biases as influences on the accuracy of predicted utility. Daniel Gilbert and Timothy Wilson, the earliest researchers of affective forecasting errors, have proceeded with the concept of the accuracy of predicted affective utility to conduct experiments that seek to determine why our predictions of future affect are inaccurate and how such errors play a role in our decision-making. (shrink)

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 (...) of the cell--have now been decoded, closing one of the great chapters of scientific history. But this is just the preface to an even more far-reaching scientific revolution, as we make the transition from being passive observers of the mysteries of nature to becoming masters of nature, able to manipulate matter, life, and intelligence to remold the world around us. In the first part of Visions, Dr. Kaku discusses the cyber future, when millions of microprocessors are scattered throughout our environment; when the iron principle that has ruled the computer industry, Moore's Law, finally collapses, forcing scientists to adopt startling new designs like DNA computers and quantum computers; and when artificial intelligence systems finally arrive. In the next section, Dr. Kaku shows how the decoding of DNA will allow us to conquer devastating genetic diseases, defeat many cancers at the molecular level, synthesize new medicines using virtual reality, grow new organs, conquer aging and reshape our genetic inheritance. Finally, he explores how quantum physicists will perfect new ways to harness the cosmic energy of the universe--from molecular machines to supermagnets that may energize a second industrial revolution, to powerful fusion engines that one day may take us to the stars. What makes Michio Kaku's vision of the future of science so compelling and authoritative is that it is based on the groundbreaking research already underway at leading laboratories around the world. Weaving interviews with over 150 scientists--several of them Nobel laureates--into a rich, inspiring narrative, Dr. Kaku reveals the growing consensus among key scientists about how science will likely evolve through the early, middle, and late years of the twenty-first century. An intimate, thrilling tour through the next century of science, Visions is a riveting, essential map to how scientists will reshape our future. (shrink)

Que savons-nous de l'avenir? Quel sera l'état de nos connaissances dans quarante ans? Comment pouvons-nous l'entrevoir sans faire de science-fiction? Ce livre apporte une réponse, par une réflexion prospective sur la science et la technologie à l'horizon 2050 : des "ruptures" (des nouveaux concepts, des théories nouvelles) pourraient-elles changer la donne? Parviendrons-nous à mieux comprendre les mécanismes du vivant et de la conscience? Pouvons-nous envisager un renouvellement des théories de la matière et de l'univers et l'avènement d'une nouvelle (...) informatique, etc.? La prospective prend en compte les besoins de la société (dans les domaines de l'énergie, du travail, de la santé et de l'alimentation, de la sécurité) qui auront un impact sur la recherche (une nouvelle robotique, l'utilisation en médecine des thérapies géniques, des innovations dans l'énergie, etc.). Elle doit aussi anticiper l'évolution des liens entre science et société : la recherche, vecteur de l'"économie de la connaissance", échappera-t-elle à la dictature du temps court et rendra-t-elle le monde plus lisible? Une nouvelle géopolitique de la science et de la technologie et de nouveaux modes de production des connaissances émergeront-ils? Comment engager le débat sur les choix technologiques et la dimension éthique des enjeux? C'est à ces questions que l'auteur, armé de sa longue expérience de responsable de la politique scientifique française, tente ici de répondre, à travers des scénarios du futur. (shrink)

ArgumentThe history of meteorology has focused a great deal on the “scaling up” of knowledge infrastructures through the development of national and global observation networks. This article argues that such efforts to scale up were paralleled by efforts to define a place for local knowledge. By examining efforts of the Blue Hill Meteorological Observatory, near Boston, Massachusetts, to issuelocalweather forecasts that competed with the centralized forecasts of the U.S. Signal Service, this article finds that Blue Hill, as a user of (...) the Signal Service's observation network, developed a new understanding of local knowledge by combining local observations of the weather with the synoptic maps afforded by the nationwide telegraph network of the U.S. Signal Service. Blue Hill used these forecasts not only as a service, but also as evidence of the superiority of its model of local forecasting over the Signal Service's model, and in the process opened up larger questions about the value of a weather forecast and the value of different kinds of knowledge in meteorology. (shrink)

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 (...) it the microarray paradigm. In this new framework, mathematics provides powerful techniques and general ideas which generate new computational tools. But it is missing any explicit isomorphism between a mathematical structure and the phenomenon under consideration. This methodology used in data analysis suggests the possibility of forecasting and analyzing without a structured and general understanding. This is the perspective we propose to call agnostic science, and we argue that, rather than diminishing or flattening the role of mathematics in science, the lack of isomorphisms with phenomena liberates mathematics, paradoxically making more likely the practical use of some of its most sophisticated ideas. (shrink)

The article discusses the development of modern society. In the author’s opinion, the prediction of society development is not possible due to the spontaneity of social processes. The contemporary social development is characterized by transition values: strategic instability, permanent crisis, decay of morality, degradation of the ecological environment, increase of international terrorism, danger of nuclear war, etc. Each epoch, including an epoch of uncertainty, gives rise to its own mechanisms for regulating world development, which are based on the historical memory (...) of mankind, on the acknowledgment of the value of peaceful coexistence and the acceptance of human life as the highest value. Preventing war is the main value of world development. The crucial decisions of country’s further development are dictated by the security of the state. The author demonstrates that in our time the ideal of progress evolves from the concept of accelerated innovation changes into the ideal of sustainable development, which presumes the formation of new values as a condition for the transition to new strategies of civilizational development. The current system of economic growth has its own value foundation – a consumer society. The preservation of a consumer society or the transition to alternative development scenarios largely depend on the achievements of the social sciences and humanities. The future will come without our will, but are we ready to accept this alien and unpredictable future? That is why we cannot passively await the future. The future will not arise by itself, the future will be what we make it. (shrink)

Bernard Lonergan identified the need and possibility of what he called "generalized empirical method" in science and philosophy. Implementation will be a future community achievement. The book enters into details of a selection of examples in the sciences and philosophy of science. These are provided not to engage in, or blend the present aim with traditional philosophical debate, but as points of entry to help reveal the possibility and need of balanced empirical method. Taking words of Lonergan: "(Q)uestions (...) of method are practical. So my purpose in these (chapters) is not to demonstrate what is necessary. It is not to forecast what is probable. It is... to invite you to share in the exploration of a proposal" (Bernard Lonergan, A Third Collection (1985), 114). The main examples are drawn from biochemistry and biology, although heuristics envisioned will include all sciences. (shrink)

What makes a consensus among scientists credible and convincing? This paper introduces the notion of a "hard-won" consensus and uses examples from recent debates over climate change science to show that this heuristic standard for evaluating the quality of a consensus is widely shared. The extent to which a consensus is "hard won" can be understood to depend on the personal qualities of the participating experts; the article demonstrates the continuing utility of the norms of modern science introduced (...) by Robert K. Merton by showing that individuals on both sides of the climate science debate rely intuitively on Mertonian ideas—interpreted in terms of character—to frame their arguments. (shrink)

Economics today cannot predict the likely outcome of specific events any better than it could in the time of Adam Smith. This is Alexander Rosenberg's controversial challenge to the scientific status of economics. Rosenberg explains that the defining characteristic of any science is predictive improvability--the capacity to create more precise forecasts by evaluating the success of earlier predictions--and he forcefully argues that because economics has not been able to increase its predictive power for over two centuries, it is not (...) a science. (shrink)

In the summer of 1941, Harald Sverdrup, the Norwegian-born Director of the Scripps Institution of Oceanography (SIO) in La Jolla, California, was denied security clearance to work on Navy-sponsored research in underwater acoustics applied to anti-submarine warfare. The clearance denial embarrassed the world renown oceanographer and Arctic explorer, who repeatedly offered his services to the U.S. government only to see scientists of far lesser reputation called upon to aid the war effort. The official story of Sverdrup's denial was the risk (...) of blackmail over relatives in occupied Norway. Declassified documents tell a different story. Although Sverdrup's integrity was defended on the highest levels of U.S. science, doubt was cast upon him by members of his own institution, who accused him of being a Nazi sympathiser. Personal distrust, rooted in scientific and intellectual disagreement, spilled over into questions about Sverdrup's loyalty and judgement. These doubts were considered sufficient grounds for withholding clearance, until Roger Revelle, a former student of Sverdrup now working within the Navy, was able to obtain a limited clearance for Sverdrup to develop techniques to forecast surf conditions during amphibious assaults. After the war, this work was credited with saving many lives, but at the time it placed Sverdrup out of the mainstream of Navy-sponsored oceanographic research. In being denied access to major areas of scientific work, Sverdrup's position as a leader of American oceanography was undermined.The loyalty case of Harald Sverdrup illustrates the emergence of an institutional apparatus through which the U.S. military began to control and shape the organisation of American science in the twentieth century. Military sponsorship of scientific research, begun during the open conflicts of World War II and continuing into the simmering tensions of the Cold War, involved explicit control by the U.S. military of who had access to critical information. This in turn meant who could do science in conjunction with the military. As the U.S. Navy became the principal sponsor of oceanography in the post-war years, clearance to do military work became to a great extent clearance to do oceanography. Choices about who could be trusted were also choices about who would do science, and what kind of science they would do. (shrink)

Current mathematical models are notoriously unreliable in describing the time evolution of unexpected social phenomena, from financial crashes to revolution. Can such events be forecast? Can we compute probabilities about them? Can we model them? This book investigates and attempts to answer these questions through GOdel's two incompleteness theorems, and in doing so demonstrates how influential GOdel is in modern logical and mathematical thinking. Many mathematical models are applied to economics and social theory, while GOdel's theorems are able to predict (...) their limitations for more accurate analysis and understanding of national and international events. This unique discussion is written for graduate level mathematicians applying their research to the social sciences, including economics, social studies and philosophy, and also for formal logicians and philosophers of science. (shrink)