Social Multi-Criteria Evaluation (SMCE)

The main argument developed here is the proposal of the concept of “Social Multi-Criteria Evaluation” (SMCE) as a possible useful framework for the application of social choice to the difficult policy problems of our Millennium, where, as stated by Funtowicz and Ravetz, “facts are uncertain, values in dispute, stakes high and decisions urgent”. This paper starts from the following main questions: 1. Why “Social” Multi-criteria Evaluation? 2. How such an approach should be developed? The foundations of SMCE are set up by referring to concepts coming from complex system theory and philosophy, such as reflexive complexity, post-normal science and incommensurability. To give some operational guidelines on the application of SMCE basic questions to be answered are: 1. How is it possible to deal with technical incommensurability? 2. How can we deal with the issue of social incommensurability? To answer these questions, by using theoretical considerations and lessons learned from realworld case studies, is the main objective of the present article.Multi-Criteria Analysis, Economics, Complexity Theory, Environment, Social Choice, Post-Normal Science, Incommensurability, Ethics

Empiricism in ecological economics: a perspective from complex systems theory

Economies are open complex adaptive systems far from thermodynamic equilibrium, and neo-classical environmental economics seems not to be the best way to describe the behaviour of such systems. Standard econometric analysis (i.e. time series) takes a deterministic and predictive approach, which encourages the search for predictive policy to ‘correct’ environmental problems. Rather, it seems that, because of the characteristics of economic systems, an ex-post analysis is more appropriate, which describes the emergence of such systems’ properties, and which sees policy as a social steering mechanism. With this background, some of the recent empirical work published in the field of ecological economics that follows the approach defended here is presented. Finally, the conclusion is reached that a predictive use of econometrics (i.e. time series analysis) in ecological economics should be limited to cases in which uncertainty decreases, which is not the normal situation when analysing the evolution of economic systems. However, that does not mean we should not use empirical analysis. On the contrary, this is to be encouraged, but from a structural and ex-post point of view.Ecological economics, neo-classical environmental economics, empiricism, predictive analysis, complexity, post-normal science, policy.

Open Science and Open Innovation in Socio-Political Context: Knowledge Production and Societal Impact in an Age of Populism

This conceptual paper traces the origins and progress of Open Science and proposes its generative coupling to Open Innovation in the contemporary socio-political context; where universities are re-imaging their civic missions in the face of anti-establishment populist politics. This setting is one of changing knowledge production regimes and institutional pressures that create contradictions identifiable through the prism of the series of scientific norms conceptualised by Robert K. Merton. This paper privileges a sociological perspective to proffer scientific knowledge production as a societally embedded process, which is well illustrated by scholarship in the Science and Technology Studies (STS) and Science in Society fields. In doing so, it identifies the co-evolution, co-existence and co-production of Open Science with Open Innovation; and notes how it shares the attributes of other recent diagnoses of changing knowledge production regimes; in particular Mode 2, post-normal science and the Quadruple Helix. It also argues that Open Science can be coupled with Open Innovation to catalyse positive societal change, but that the rise of a populist post-truth era opposed to objectivity, expertise and technocratic political solutions gives the demand for openness and participation a different complexion. Merton’s norms provide a useful lens to observe recent shifts in the delivery of science, knowledge and innovation in society towards more inclusive, ethical and sustainable outcomes; and expose the limited reflection on how the appropriation and exploitation of open scientific knowledge encounters industrial R&D and Open Innovation

Adaptive management of the climate change problem: bridging the gap between research and public policy

There are important differences between adaptation to normal climate and adaptation to climate change. One scientific community is organized to address extreme probabilities in current distributions, and their disaster potential. Another scientific community addresses the longer-term changes in the climate system. There are important differences between natural hazard (extreme and unpredictable events) and disaster as natural hazard with disastrous economic and social consequences as a matter of enormous concern. Finally, disaster management means a forecast for the real disaster events and after these disasters occurred, a post disaster attitude is necessary to ameliorate the situation and to take measures for rapid recovery. In this paper the author tries to address the description, understanding and prediction of extreme events in the weather system and their impact across a range of natural and socio-economic phenomena. Other goals of the paper are to present the weather and climate characteristics, the statistics of extreme events and to evaluate their impact on economy. Thus one major task of the work is to address the management of natural disasters caused by weather: the management of event forecast, risk assessment for various regions, and disaster management after the event occur. At the intersection between Economics, Management and Science of Weather Processes, this interdisciplinary study will provide the reader with insight and tools to address contemporary climate and weather hazard management problems.weather disasters, natural hazard, human vulnerability, extreme events, statistics and impact, management of event forecast, regional risk assessment, post disaster management

Pre-discovery and Follow-up Observations of the Nearby SN 2009nr: Implications for Prompt Type Ia SNe

We present photometric and spectroscopic observations of the Type Ia supernova SN 2009nr in UGC 8255 (z=0.0122). Following the discovery announcement at what turned out to be ten days after peak, we detected it at V ~15.7 mag in data collected by the All Sky Automated Survey (ASAS) North telescope 2 weeks prior to the peak, and then followed it up with telescopes ranging in aperture from 10-cm to 6.5-m. Using early photometric data available only from ASAS, we find that the SN is similar to the over-luminous Type Ia SN 1991T, with a peak at Mv=-19.6 mag, and a slow decline rate of Dm_15(B)=0.95 mag. The early post-maximum spectra closely resemble those of SN 1991T, while the late time spectra are more similar to those of normal Type Ia SNe. Interestingly, SN 2009nr has a projected distance of 13.0 kpc (~4.3 disk scale lengths) from the nucleus of the small star-forming host galaxy UGC 8255. This indicates that the progenitor of SN 2009nr is not associated with a young stellar population, calling into question the conventional association of luminous SNe Ia with the "prompt" component directly correlated with current star formation. The pre-discovery observation of SN 2009nr using ASAS demonstrates the science utility of high cadence all sky surveys conducted using small telescopes for the discovery of nearby (d=<50 Mpc) supernovae.Comment: 11 pages, 11 figures, 4 tables. Accepted for publication in ApJ on 11/02/201

Retinal straylight and light distortion phenomena in normal and post-LASIK eyes

Purpose To assess the relationship between measures of light distortion and retinal straylight in normal and post- LASIK subjects. Design Cross-sectional, non-randomized, masked observational case series Setting Clinica Oftalmologica Novovision, Madrid, Spain. Methods Thirty eyes from 30 healthy subjects (mean age 33.9±8.3 years old; mean spherical equivalent (MSE) −2.06± 1.40 D) and thirty six eyes from thirty six refractive surgery patients (mean age 36.1±7.7 years old; mean preop MSE −3.43±2.23 D) were examined with the Starlights and the C-Quant straylightmeter in a case-control study. Results The age of both treated and control groups was not statistically different (p>0.05). Statistically significant differences between controls and post-LASIK eyes were found for luminous distortion index (LDI), but not for retinal straylight. Correlation analysis yielded significant correlation between retinal straylight Log(s) values and BCVA measures (r=0.379, p=0.002). Control subjects showed significant correlation between MSE and retinal straylight Log(s) values (r=-0.650, p<0.001), while post-LASIK eyes showed a significant correlation between LDI and Log(s) values (r= 0.338, p=0.044) and between Log(s) values and BCVA (r= 0.460, p=0.005). Correlation between measures obtained by both methods was higher after LASIK than in control eyes, although values were quite scattered in any case. Conclusion Light distortion phenomena and retinal straylight measures are correlated in both normal and postsurgical eyes. Both parameters are increased in LASIK subjects compared to control non-operated subjects.This research was supported in part by a Universitat de Valencia Research Grant (#UV-AE-08-2291#) and a Ministry of Science and Innovation of Spain (#JC2008-00078) to Alejandro Cervino, from the Fundacao para a Ciencia e Tecnologia of Portugal through a Grant to Jose Manuel Gonzalez-Meijome (#PTDC/SAU-BEB/098392/2008#), and from the Ministry of Science and Innovation of Spain (Red Tematica de Investigacion en Optometria, SAF2008-01114-E)

Reconfiguring Household Management in Times of Discontinuity as an Open System: The Case of Agro-food Chains

The file attached to this record is the author's final peer reviewed version. The Publisher's final version can be found by following the DOI link.This article is based upon a heterodox approach to economics that rejects the oversimplification made by closed economic models and the mainstream concept of ‘externality.’ This approach re-imagines economics as a holistic evaluation of resources versus human needs, which requires judgement based on understanding of the complexity generated by the dynamic relations between different systems. One re-imagining of the economic model is as a holistic and systemic evaluation of agri-food systems’ sustainability that was performed through the multi-dimensional Governance Assessment Matrix Exercise (GAME). This is based on the five capitals model of sustainability, and the translation of qualitative evaluations into quantitative scores. This is based on the triangulation of big data from a variety of sources. To represent quantitative interactions, this article proposes a provisional translation of GAME’s qualitative evaluation into a quantitative form through the identification of measurement units that can reflect the different capital dimensions. For instance, a post-normal, ecological accounting method, Emergy is proposed to evaluate the natural capital. The revised GAME re-imagines economics not as the ‘dismal science,’ but as one that has potential leverage for positive, adaptive and sustainable ecosystemic analyses and global ‘household’ management. This article proposes an explicit recognition of economics nested within the social spheres of human and social capital which are in turn nested within the ecological capital upon which all life rests and is truly the bottom line. In this article, the authors make reference to an on-line retailer of local food and drink to illustrate the methods for evaluation of the five capitals model

The problem of expertise in knowledge societies

This paper puts forward a theoretical framework for the analysis of expertise and experts in contemporary societies. It argues that while prevailing approaches have come to see expertise in various forms and functions, they tend to neglect the broader historical and societal context, and importantly the relational aspect of expertise. This will be discussed with regard to influential theoretical frameworks, such as laboratory studies, regulatory science, lay expertise, post-normal science, and honest brokers. An alternative framework of expertise is introduced, showing the limitations of existing frameworks and emphasizing one crucial element of all expertise, which is their role in guiding action

Training on citizen engagement in Policy-relevant Science, Technology and Innovation: Sarajevo 12 -13 October 2017. @ Rektorat, Univerzitet u Sarajevu, Obala Kulina Bana 7/II, 71000 Sarajevo, BiH

In the framework of its Enlargement and Integration Action, JRC is organizing in collaboration with the Ministry of Civil Affairs of Bosnia and Herzegovina this "Training on citizen engagement in Policy relevant Science, Technology and Innovation", in Sarajevo on 12th-13th October 2017. Creating the conditions for genuine engagement of citizens and other societal actors in matters of their concern where science and technology are relevant is an issue of increasing political attention; not least because the diffusion of “low cost” and “low tech” media through which citizens can, like never before, express opinions and concerns calls for institutional reflexivity. Public engagement is one of the pillars of the RRI lemma, together with Ethics. This training course responds to a concrete lack of genuine and legitimate places whereby institutions can explore insights, expectations and imaginaries of citizens in matters of concern to all. This training is concerned with the science for policy realm where engagement of citizens is needed and relevant to ensure quality of policy formulation processes in situations described in the framework of “post-normal science” where “facts uncertain, values in dispute, stakes high and decisions urgent". This training will look into participatory approaches to discuss science and technology developments as well as discuss what makes trustful relationships between the scientific community and the public trustworthyJRC.I.2-Foresight, Behavioural Insights and Design for Polic