Agricultural science policy

Technological advances developed through R&D have supplied the world with not only more food, but better food. This report looks at issues raised by this changing environment for agricultural productivity, agricultural R&D, and natural resource management.Agriculture and state ,

Towards better integration of environmental science in society: lessons from BONUS, the joint Baltic Sea environmental research and development programme

Integration of environmental science in society is impeded by the large gap between science and policy that is characterised by weaknesses in societal relevance and dissemination of science and its practical implementation in policy. We analyse experiences from BONUS, the policy-driven joint Baltic Sea research and development programme (2007–2020), which is part of the European Research Area (ERA) and involves combined research funding by eight EU member states. The ERA process decreased fragmentation of Baltic Sea science and BONUS funding increased the scientific quality and societal relevance of Baltic Sea science and strengthened the science-policy interface. Acknowledging the different drivers for science producers (academic career, need for funding, peer review) and science users (fast results fitting policy windows), and realising that most scientists aim at building conceptual understanding rather than instrumental use, bridges can be built through strategic planning, coordination and integration. This requires strong programme governance stretching far beyond selecting projects for funding, such as coaching, facilitating the sharing of infrastructure and data and iterative networking within and between science producer and user groups in all programme phases. Instruments of critical importance for successful science-society integration were identified as: (1) coordinating a strategic research agenda with strong inputs from science, policy and management, (2) providing platforms where science and policy can meet, (3) requiring cooperation between scientists to decrease fragmentation, increase quality, clarify uncertainties and increase consensus about environmental problems, (4) encouraging and supporting scientists in disseminating their results through audience-tailored channels, and (5) funding not only primary research but also synthesis projects that evaluate the scientific findings and their practical use in society – in close cooperation with science users − to enhance relevance, credibility and legitimacy of environmental science and expand its practical implementation

The Use and Misuse of Science: Refining the Theoretical Framework of Science Policy

This poster examines the use and misuse of science information in the federal government. Scientific information is a vital component of policy making in the U.S. today. Stine notes that science research is ???intricately linked to societal needs and the nation???s economy in areas such as transportation, communication, agriculture, education, environment, health, defense, and jobs??? [7, p. i]. In the past, the relationship between science and policy was seen as a linear process: science conducted research, collected data, and presented its findings to federal agencies, which then use that evidence to determine the best policy action [2, 5]. However, the reality of science policy is far more complex; while science is a valuable source of information, it is also problematic, since scientific data may conflict with political, moral, and economic values [5, 6, 7]. For example, if endangered fish reside in a lake, politicians may face choices between preserving the ecosystem, irrigating nearby farms, and allowing recreational use of the lake. Each choice has economic, environmental, and political ramifications. Doremus explains that ???esthetic, ecological, educational, historical, recreational, or scientific??? values can all be considered relevant foundations for agency decisions [3, p. 1136]. Because of this complexity, ???the political community and the scientific community??? collaborate at the boundary of politics and science over the integrity and productivity of research??? [5, p. 143]. In this conceptualization, ???government cannot make good policy decisions unless the decision makers have access to, and appropriately use, the best available understanding of the facts??? [4, p. 1639]. Federal agencies, like individuals, have information behaviors???they create, access, review, share, evaluate, and act upon information in order to formulate and assess public policy. Agencies could accept scientific conclusions and use them as the basis of policy formation. Agencies could accept the science, yet determine that it is not the best or sole basis of effective policy. Of course, agencies could reject or partially reject the science, thus creating more opportunities to basis policy on other considerations. Typical agency behavior with respect to science falls across a spectrum, with science being neither unreservedly endorsed nor discarded. While ???a scientist views science as a way of learning, a policy maker???may see science as the justification for a decision, a requirement of the law, a tool or impediment, or something that opposes or supports their viewpoint??? [1, p. 1005]. Furthermore, agency information behavior with respect to science does not exist in isolation. There is recurring interaction between science and policy. For instance, scientists who study the toxic effects of chemicals and report their conclusions to the Environmental Protection Agency, to guide agency behavior, will likely continue studying the same chemicals and providing additional information to further influence policy. How the EPA behaves with respect to the scientific information may shape future research, communication efforts, or the information behaviors of the scientists themselves. Principal-agent theory is frequently used to explain how science and policy interact. Under this approach, federal agencies, as principals, contract with science to provide needed information. Science then acts as an agent, supplying data and conclusions in exchange for funding, prestige, and other rewards [5, 6]. Principal-agent theory captures a significant portion of the interaction between science and policy, but does not reflect the entire relationship. Specifically, principal-agent theory has little to say about how agencies use science???the information behaviors in which they engage???or how these information behaviors affect subsequent interaction with scientists. The theory currently does not address the problem of under-utilized or under-appreciated agents. If the agents perceive their work is not incorporated into policy, perhaps they will refuse to do further work, will begin doing shoddy work, or will attempt to subtly integrate policy advice into their work. Since these information behaviors are, in fact, a crucial part of formulating policy, they ought not be overlooked. The nature of the recurring interactions, and how they are affected by agencies??? information behavior, has not been explicitly examined in the previous literature. This poster illuminates these aspects of the relationships between science and policy. Specific examples of agencies using and misusing scientific information will be drawn from the literature to illustrate the complex interactions. The full, cyclical relationship between science and policy will be portrayed, demonstrating how agencies??? information behaviors may affect subsequent research and communication behaviors. This will necessarily entail a refinement of principal-agent theory as it has been applied to science policy. This research will be a valuable contribution in several ways. It brings science policy???how scientific information is used or misused???to the explicit attention of iSchools and their cognate fields of study. As we create technological tools and engage in policy-relevant research, we need to pay attention to how our data and conclusions may or may not be utilized. In addition, science policy can benefit from the theoretical and conceptual rigor of the trans-disciplinary research of the iSchools. Finally, the research will also test and strengthen the use of principal-agent theory as it applies to science policy. Overall, this theory has great utility, but can be refined to address more of the interaction between science and policy

Science Courts, Evidentiary Procedures and Mixed Science-Policy Decisions

This paper analyzes the potential for science courts to address the social need to regulate human carcinogens and concludes that, on balance, it is not high. From this vantage point, Professor Cranor suggests desiderata for application in other areas where science courts might be used

A cognitive approach to science policy

Recent work in the social studies of science has emphasized the importance of studying both the social and cognitive aspects of the evolution of scientific specialties and disciplines. This has implications for science policies that aim at the direction of scientific fields toward external goals: the cognitive state and dynamics of the field have to be taken into acount. Such a cognitive approach to science policy has been elaborated by a number of German science scholars. The three-phase model of scientific developments and the finalization thesis of the Starnberg group is discussed, and the policy implications are critically reviewed. A group based in the University of Bielefeld has published case studies designed to trace the role of cognitive factors in explaining the impact of science policy programmes on scientific fields. It turns out that mutual adaptation processes occur in the course of formulating the programmes which reduce conflict and resistance. In conclusion, some perspectives for further work are noted

Science, Technology and U.S. Economic Policy

Volume 3 - Paper #44_44ScienceTechnologyandUSeconomical.pdf: 194 downloads, before Oct. 1, 2020

About Fish

Although a number of fish species have been studied in their freshwater life stages, further research on the behavior and habitat requirements of ocean-going fish is required. While fishes have historically been regarded as more “primitive” than other vertebrate groups, Rodriguez et al concluded that several memory and learning systems of bony fishes are noticeably similar to those of reptiles, birds, and mammals. When animals as small and under appreciated as fish display complex mating systems, parental care, and demonstrate the ability to traverse significant distances using olfactory and celestial cues, it is clear that previously established definitions of intelligence should be revisited

About Fish

Although a number of fish species have been studied in their freshwater life stages, further research on the behavior and habitat requirements of ocean-going fish is required. While fishes have historically been regarded as more “primitive” than other vertebrate groups, Rodriguez et al concluded that several memory and learning systems of bony fishes are noticeably similar to those of reptiles, birds, and mammals. When animals as small and under appreciated as fish display complex mating systems, parental care, and demonstrate the ability to traverse significant distances using olfactory and celestial cues, it is clear that previously established definitions of intelligence should be revisited