The scientific community has been under increasing pressure from policymakers and the public to explain how research contributes to the public good. The community has emphasized two distinct approaches to explaining its operations and value. The first is the use of narratives that can make the work of science more accessible and engaging to nonscientists. The other is the use of new data mining and analysis methods to document quantitatively the complex paths by which research progresses and eventually contributes to a variety of societal goals. While both of these approaches have proved useful, the goal of this workshop is to explore ways that they might be combined into a hybrid approach that will be even more effective.
This workshop will assemble experts in the narrative and data-driven science communication approaches with leading science researchers to discuss how these various perspectives can be merged to define a template for a type of communication that encompasses the appeal of narrative, the rigor of new analytic data, and the understanding of how science works in practice.
During the last decade universities have developed policies and infrastructures to support open access to publications but now it is time to move a step forward. There is an increasing demand for accessing data supporting the research results to validate and reproduce them. Therefore universities have to be prepared for this new challenge that goes beyond dissemination because it requires a strategy for managing research data within institutions. In this paper I will try to give some hints on how to deal with this challenge that can be framed in the new open science movement aimed at providing
The validity of citizen science conducted by community activists is often questioned because of the overt values that activists bring to their investigations. But value judgments are a necessary part of even the best academic science, and scientists whose findings suggest the need for policy action can learn from the example of citizen scientists. Communicating clearly about value judgments in science would give the public a better basis for distinguishing between responsible and irresponsible research on controversial issues.
Scientific literacy is an important educational and societal goal. Measuring scientific literacy, however, has been problematic because there is no consensus regarding the meaning of scientific literacy. Most definitions focus on the content and processes of major science disciplines, ignoring social factors and citizens’ needs. The authors developed a definition of scientific literacy for the California 4-H Program from the citizen’s perspective, concentrating on real-world science-related situations. The definition includes four anchor points: science content; scientific reasoning skills