This issue of Legacy—which had a record number of submissions from interpreters wanting to write on the subject—deals with the challenges of making science accessible, engaging, and relevant to visitors to interpretive sites. How do we take information and ideas that can be highly technical or specicialized to a certain field of study and make it pertinent to visitors whose expertise lies elsewhere? The articles that follow tackle that subject.
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TEAM MEMBERS:
Alyssa Parker-GeismanTim WatkinsPatrick Kark
C-RISE will create a replicable, customizable model for supporting citizen engagement with scientific data and reasoning to increase community resiliency under conditions of sea level rise and storm surge. Working with NOAA partners, we will design, pilot, and deliver interactive digital learning experiences that use the best available NOAA data and tools to engage participants in the interdependence of humans and the environment, the cycles of observation and experiment that advance science knowledge, and predicted changes for sea level and storm frequency. These scientific concepts and principles will be brought to human scale through real-world planning challenges developed with our city and government partners in Portland and South Portland, Maine. Over the course of the project, thousands of citizens from nearby neighborhoods and middle school students from across Maine’s sixteen counties, will engage with scientific data and forecasts specific to Portland Harbor—Maine’s largest seaport and the second largest oil port on the east coast. Interactive learning experiences for both audiences will be delivered through GMRI’s Cohen Center for Interactive Learning—a state-of-the-art exhibit space—in the context of facilitated conversations designed to emphasize how scientific reasoning is an essential tool for addressing real and pressing community and environmental issues. The learning experiences will also be available through a public web portal, giving all area residents access to the data and forecasts. The C-RISE web portal will be available to other coastal communities with guidance for loading locally relevant NOAA data into the learning experience. An accompanying guide will support community leaders and educators to embed the interactive learning experiences effectively into community conversations around resiliency. This project is aligned with NOAA’s Education Strategic Plan 2015-2035 by forwarding environmental literacy and using emerging technologies.
Purpose: This project will develop and test Happy Atoms, a physical modeling set and an interactive iPad app for use in high school chemistry classrooms. Happy Atoms is designed to facilitate student learning of atomic modeling, a difficult topic for chemistry high school students to master. Standard instructional practice in this area typically includes teachers using slides, static ball and stick models, or computer-simulation software to present diagrams on a whiteboard. However, these methods do not adequately depict atomic interactions effectively, thus obscuring complex knowledge and understanding of their formulas and characteristics.
Project Activities: During Phase I (completed in 2014), the team developed a prototype of a physical modeling set including a computerized ball and stick molecular models representing the first 17 elements on the periodic table and an iPad app that identifies and generates information about atoms. A pilot study at the end of Phase I tested the prototype with 187 high school students in 12 chemistry classes. Researchers found that the prototype functioned as intended. Results showed that 88% of students enjoyed using the prototype, and that 79% indicated that it helped learning. In Phase II, the team will develop additional models and will strengthen functionality for effective integration into instructional practice. After development is complete, a larger pilot study will assess the usability and feasibility, fidelity of implementation, and promise of Happy Atoms to improve learning. The study will include 30 grade 11 chemistry classrooms, with half randomly assigned to use Happy Atoms and half who will continue with business as usual procedures. Analyses will compare pre-and-post scores of student's chemistry learning, including atomic modeling.
Product: Happy Atoms will include a set of physical models paired with an iPad app to cover high school chemistry topics in atomic modeling. The modeling set will include individual plastic balls representing the elements of the periodic table. Students will use an iPad app to take a picture of models they create. Using computer-generated algorithms, the app will then identify the model and generate information about its physical and chemical properties and uses. The app will also inform students if a model that is created does not exist. Happy Atoms will replace or supplement lesson plans to enhance chemistry teaching. The app will include teacher resources suggesting how to incorporate games and activities to reinforce lesson plans and learning.
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TEAM MEMBERS:
Jesse Schell
resourceprojectProfessional Development, Conferences, and Networks
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.
The proposed project, which will build upon a successful NSF EAGER grant, will help arctic researchers explain the significance of their research widely to the general public which, in today's technologically connected world means not only in the U.S., but worldwide- and to reflect the diversity of the scientific enterprise Alaska. As proposed, the current Frontier Scientist's schedule of science reporting will be enhanced by a broadcast TV series titled Frontier Scientists to engage a larger viewing audience. A 'Do It Yourself' (DIY) component will help scientists to create their, professional-caliber media that will sustain the publics' interest and feedback in their research. An evaluation regime will insure appropriate quality and depth of communication, throughout the lifecycle of each science story.
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TEAM MEMBERS:
Liz OConnellRobert McCoyGregory Newby
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
Open science is the most recent paradigm shift in the practice of science. However, it is a practice that has emerged relatively recently and as such, its definition is constantly-shifting and evolving. This commentary describes the historical background of open science and its current practice, particularly with reference to its relationship with public engagement with research.
Open Science may become the next scientific revolution, but still lingers in a pre-paradigmatic phase, characterised by the lack of established definitions and domains. Certainly, Open Science requires a new vision of the way to produce and share scientific knowledge, as well as new skills. Therefore, education plays a crucial role in supporting this cultural change along the path of science. This is the basic principle inspiring the collection of essays published in this issue of JCOM, which deals with many subjects ranging from open access to the public engagement in scientific research
Open Science may become the next scientific revolution, but still lingers in a pre-paradigmatic phase, characterised by the lack of established definitions and domains. Certainly, Open Science requires a new vision of the way to produce and share scientific knowledge, as well as new skills. Therefore, education plays a crucial role in supporting this cultural change along the path of science. This is the basic principle inspiring the collection of essays published in this issue of JCOM, which deals with many subjects ranging from open access to the public engagement in scientific research
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.
A large and successful exhibition to mark the 500th anniversary of the birth of Leonardo da Vinci was held at the Royal Academy, Burlington House, London, in 1952. It was an important event for the public appreciation of Leonardo’s genius. The proposal for the exhibition had come from the Science Museum, whose staff arranged a ‘scientific section’ of the exhibition, providing and displaying photographs and models. The story of these early models is particularly interesting in the light of the subsequent expansion in the use of mechanical models and animations to interpret and present Leonardo
What do images communicate about humans’ place in nature? Medin and Bang posit that the artifacts used to communicate science—including words, photographs, and illustrations—commonly reflect the cultural orientations of their creators. The authors argue that Native Americans traditionally see themselves as part of nature and focus on ecological relationships, while European Americans perceive themselves as outside of nature and think in terms of taxonomic relationships.