The Adler Planetarium, Johns Hopkins University, and Southern Illinois University-Edwardsville are investigating the potential of online citizen science projects to broaden the pool of volunteers who participate in analysis and investigation of digital data and to deepen volunteers' engagement in scientific inquiry. The Investigating Audience Engagement with Citizen Science project is administering surveys and conducting case studies to identify factors that lead volunteers to engage in the astronomy-focused Galaxy Zoo project and its Zooniverse extensions. The project is (1) identifying volunteers' motivations for joining and staying involved, (2) determining factors that influence volunteers' movement from lower to higher levels of involvement, and (3) designing features that influence volunteer involvement. The project's research findings will help informal science educators and scientists refine existing citizen science programs and develop new ones that maximize volunteer engagement, improve the user experience, and build a more scientifically literate public.
Focusing on climate change and its impact on coastal zones and marine life, Visualizing Change will build educator capacity in the aquarium community and informal science education field. Building on NOAA datasets and visualizations, we will provide interpreters with strategic framing communication tools and training using the best available social and cognitive research so that they can become effective climate change educators. Objectives are to (1) Develop and test four exemplary interpretive "visual narratives" that integrate research-based strategic communication with NOAA data visualization resources; (2) Test the application of the visual narratives in a variety of geographic regions, institution types (aquarium, science center, etc.), and using multiple technology platforms (Science on a Sphere, Magic Planet portable globe display, iPad/tablets, and video walls); (3) Build a professional development program for climate change interpretation with data visualization; and (4) Leverage existing networks for dissemination and peer support.
The most important consideration in evaluating chemistry outreach efforts is how to best use the evaluation to serve project needs. Evaluation should be about making programs more effective—at communicating ideas, changing attitudes, inspiring action, or reaching wider audiences, for example. A well-conducted evaluation typically contributes to the quality of a project by helping its leaders better define their goals, identify important milestones and indicators of success, and use evidence to support ongoing improvements. At its best, evaluation is an integral part of project design and
This evaluator reflection was provided to stimulate conversation at the June 20-21, 2013 CAISE Evaluation Convening. It reflects on the nature of learning and challenges assumptions of outcomes from engaging in informal learning experiences.
This funder reflection was provided to stimulate conversation at the June 20-21, 2013 CAISE Evaluation Convening. It describes the importance of evaluation to funders, and provides some prompts and questions for thinking about evaluation with relation to funding.
This leadership reflection was provided to stimulate conversation at the June 20-21, 2013 CAISE Evaluation Convening. It provides an organizational leadership perspective on evaluation.
This practitioner reflection was provided to stimulate conversation at the June 20-21, 2013 CAISE Evaluation Convening. It discusses improving practice through reflection.
This award is funded under the American Recovery and Reinvestment Act of 2009 (Public Law 111-5).
Scientists and researchers from fields as diverse as oceanography and ecology, astronomy and classical studies face a common challenge. As computer power and technology improve, the sizes of data sets available to us increase rapidly. The goal of this project is to develop a new methodology for using citizen science to unlock the knowledge discovery potential of modern, large data sets. For example, in a previous project Galaxy Zoo, citizen scientists have already made major contributions, lending their eyes, their pattern recognition skills and their brains to address research questions that need human input, and in so doing, have become part of the computing process. The current Galaxy Zoo project has recruited more than 200,000 participants who have provided more than 100 million classifications of galaxies from the Sloan Digital Sky Survey. This project builds upon early successes to develop a mode of citizen science participation which involves not only simple "clickwork" tasks, but also involves participants in more advanced modes of scientific thought. As part of the project, a symbiotic relationship with machine learning tools and algorithms will be developed, so that results from citizen scientists provide a rich training set for improving algorithms that in turn inform citizen science modes of participation. The first phase of the project will be to develop a portfolio of pilot projects from astrophysics, planetary science, zoology, and classical studies. The second phase of the project will be to develop a framework - called the Zooniverse - to facilitate citizen scientists. In particular, research and machine-learning communities will be engaged to identify suitable projects and data sets to integrate into Zooniverse.
The ultimate goal with the Zooniverse is to create a sustainable future for large-scale, internet-based citizen science as part of every researcher?s toolkit, exemplifying a new paradigm in computational thinking, tapping the mental resources of a community of lay people in an innovative and complex manner that promises a profound impact on our ability to generate new knowledge. The project will engage thousands of citizens in authentic science tasks leading to a better public understanding of science and also, by the engagement of students, leading to interest in scientific careers.
DATE:
-
TEAM MEMBERS:
Geza GyukPamela GayChristopher LintottMichael RaddickLucy FortsonJohn Wallin
Many science communication activities identify children as their main target. There are several reasons for this, even if, quite often, they are not expressed explicitly, as if children were a somehow “natural” public for science. On the contrary, we can observe a high level of complexity in the children agenda to engage with science, and in the science institution agendas for targeting children. But this does not seem to be followed but the same level of complexity in devising science engagement activities for children. The profound transformation of the scope and understanding of science
Children’s issues have become a greater priority on political agendas since the UN General Assembly adopted the Convention on the Rights of the Child (UNCRC). Each government has agreed to ensure that all those working with and for children understand their duties in relation to upholding children’s rights including the obligation to involve children in decisions that affect them (Article 12). Respecting children’s views is not just a model of good pedagogical practice, but a legally binding obligation. However, there is a limited awareness of Article 12, and how to actualise it. While many
In the editorial of this issue of JCOM, we underline how children are on one hand one of the main target group for science communication, and on the other hand a largely excluded group in the shift from a linear diffusion model to a dialogic model of science communication. In this series of comments, stimulated by the EU - FP7-Science in society project `SiS-Catalyst - 2013 children as change agents for science in society' (a four year programme aimed at crossing the science in society and the social inclusion agendas), we would like to explore methods and approaches that can ensure that, in
DATE:
TEAM MEMBERS:
Matteo MerzagoraTricia Alegra Jenkins
The science & art research played an important role in the topics covered by JCOM because actually the convergence of languages and themes of art and science increasingly continue to act synergistically in the most diverse knowledge fields.