All metal volatile liquid positive expulsion system Final summary report, 26 Dec. 1962 - 15 Jun. 1964

Volatile liquid positive expulsion system with metallic expulsion diaphragm

Willingness-to-pay for science as a public good: a contingent valuation experiment

Every year a significant amount of money is invested by governments on large-scale research infrastructures such as particle accelerators, telescopes, robotic space probes, biological data banks, oceanographic vessels, etc. The majority of these projects is funded through general taxation, and hence taxpayers are implicitly called to contribute to scientific discovery. Against the actual tax burden, how much the general public is actually willing to pay for investment in science? This paper explores the attitudes of young science-outsiders (the taxpayers of tomorrow) by the design of a pilot experiment involving a sample of undergraduate students in economics at University of Milan. We were interested in building a replicable survey setting aimed at eliciting the willingness to pay (WTP) for the discovery potential of a basic science project. Our case study is the Large Hadron Collider (LHC), the most powerful particle accelerator worldwide. The experiment takes the form of a Contingent Valuation Referendum-like in depth interview. Both parametric and non-parametric estimators were used to calculate the mean WTP. Our results suggest that the sample mean WTP for the LHC discoveries ranges from EUR 23 to 28 per person annually. This is a relatively high result, several times in excess of the actual average tax-burden for supporting the CERN budget by Italian taxpayers, but can be compared with several previous empirical findings about the WTP for the non-use value of specific cultural and environmental goods. Building on this pilot experiment, we discuss possible future research avenues in order to extend to representative samples of taxpayers the empirical analysis of WTP for scientific discovery

Evaluating business support measures : the Bayesian network approach

Traditional methods to the evaluation of business support consider the firm as a \u2018black box\u2019 and the main interest is to see to what extent a policy has produced the intended effects. The causal mechanisms that explain how certain effects are generated are not discovered. In this article we show the applicability of Bayesian Network Analysis in combination with theory-based evaluation as a new mixed-method approach to reveal the mechanisms, both expected and unknown, which explain the changes in a firm\u2019s behaviour and economic performance due to public support. By combining graphical map analysis with statistical analysis, Bayesian Network Analysis reveals the interdependences between different drivers of change in firms so as to either confirm, deny or better qualify the theory of change of the policy

Should governments fund basic science? : evidence from a willingness-to-pay experiment in five universities

Tax-payers are usually the ultimate funders of large-scale research infrastructures (RIs), but the expected discoveries of such projects often do not have any known use-value. By interviewing 1,022 undergraduates, we study the drivers of preferences for paying for basic research, which are still little known. We focus on the LHC at CERN, where the Higgs boson was discovered. Income, awareness, and positive attitudes towards science drive a positive willingness-to-pay for science. Students in social sciences and the humanities are willing to contribute to scientific curricula at least as much as their peers. Findings offer support to government funding of basic research as a public good

Willingness to pay for basic research: a contingent valuation experiment on the large hadron collider

An increasing number of countries and institutions are investing in large-scale research infrastructures (RIs) and in basic research. Scientific discoveries, which are expected thanks to RIs, may have a non-use value, in analogy with environmental and cultural public goods. This paper provides, for the first time, an empirical estimation of the willingness to pay (WTP) for discoveries in basic research by the general public. We focus on the Large Hadron Collider (LHC), the largest particle accelerator worldwide, where in 2012 the Higgs boson was discovered. Nobody knows the practical value of such discovery, beyond knowledge per se. The findings of our study are based on a dichotomous choice contingent valuation (CV) survey carried out in line with the NOAA guidelines. The survey involved 1,022 undergraduate students enrolled in more than 30 different degrees (including the humanities) at five universities located in four countries (Italy, France, Spain, UK). We ask two main research questions: Which are the determinants of the WTP for the LHC discoveries? What is the average contribution that the respondents would be willing to pay? Our results confirm that income, interest and attitudes towards basic research are positively associated with the WTP, while other potential explanatory variables play a limited role. The estimated mean of WTP for basic research in particle physics is EUR 7.7 per person una-tantum. Although this is a small amount compared to other CV studies for environmental and cultural goods, it points to positive social attitudes for basic science as a public good

Control of Visceral Leishmaniasis in Latin America—A Systematic Review

Visceral leishmaniasis is a vector-borne disease characterized by fever, spleen and liver enlargement, and low blood cell counts. In the Americas VL is zoonotic, with domestic dogs as main animal reservoirs, and is caused by the intracellular parasite Leishmania infantum (syn. Leishmania chagasi). Humans acquire the infection through the bite of an infected sand fly. The disease is potentially lethal if untreated. VL is reported from Mexico to Argentina, with recent trends showing a rapid spread in Brazil. Control measures directed against the canine reservoir and insect vectors have been unsuccessful, and early detection and treatment of human cases remains as the most important strategy to reduce case fatality. Well-designed studies evaluating diagnosis, treatment, and prevention/control interventions are scarce. The available scientific evidence reasonably supports the use of rapid diagnostic tests for the diagnosis of human disease. Properly designed randomized controlled trials following good clinical practices are needed to inform drug policy. Routine control strategies against the canine reservoirs and insect vectors are based on weak and conflicting evidence, and vector control strategies and vaccine development should constitute research priorities