Thanks, on the one hand, to the extraordinary availability of colossal textual archives and, on the other hand, to advances in computational possibilities, today the social scientist has at their disposal an extraordinary laboratory, made of millions of interacting subjects and billions of texts. An unprecedented, yet challenging, opportunity for science. How to test, corroborate models? How to control, interpret and validate Big Data? What is the role of theory in the universe of patterns and statistical correlations? In this article, we will show some general characteristics of the use of
Computational social science represents an interdisciplinary approach to the study of reality based on advanced computer tools. From economics to political science, from journalism to sociology, digital approaches and techniques for the analysis and management of large quantities of data have now been adopted in several disciplines. The papers in this JCOM commentary focus on the use of such approaches and techniques in the research on science communication. As the papers point out, the most significant advantages of a computational approach in this sector include the chance to open up a range
The “Impressions from a Lost World” website and related public programs will tell the story of the 19th century discovery of dinosaur tracks along the Connecticut River Valley in Massachusetts and Connecticut. The significance of these fossils extended far beyond the emerging scientific community, as they exerted a profound effect upon American arts, religion, and culture that reverberates down to the present day. The website will use stories of real people to engage visitors to think about relationships between science and religion, amateur vs. professional scientific pursuits and the role of specialization, participation of women in science, and the impact of new scientific ideas on American culture. Website visitors will draw connections of these important humanities themes to current issues. Accompanying public programs will attract diverse audiences and build interest in the website.
As part of its overall strategy to enhance learning in informal environments, the Advancing Informal STEM Learning (AISL) program funds innovative resources for use in a variety of settings. This media and research project will inform adult audiences about the discoveries of NSF funded Social, Behavioral, and Economic (SBE) scientists that are dramatically re-shaping fields as diverse as economics, marketing, medicine and government. Four primetime PBS specials hosted by science reporter, Miles O'Brien, will be produced featuring leading SBE scientists and vetted for inclusion by a panel of expert advisors including Baruch Fischhoff of Carnegie Mellon and Robert Kurzban of the University of Pennsylvania. A key innovation in the project is a participatory research strategy that will enable the public to take part directly in scientific behavioral research and discover what their participation has revealed about their own lives. Built around YouTube features, Facebook, and online games it will build on the public's interest in learning about themselves and others via social media supported by scientific research. The project collaborators include the media company, Oregon Public Broadcasting, and researchers at Carnegie Mellon, University of Pennsylvania, Yale University, and Chapman University. This project is unique in its strategy for combining broadcast television programs focusing on Social, Behavioral, and Economics research with a participatory research component that engages audiences in scientific studies that are personally relevant. It will fill an important niche in the informal learning research literature and has the potential to impact media practice that continues to evolve incorporating new online social media tools. RMC will conduct formative evaluation to help inform the project deliverables, a summative evaluation of the project, and an experimental research study in Year 3 of the project. The research study is based on the hypothesis that those participants assigned to watch the entire television series and engage in all participatory research activities will experience the greatest gains in STEM interest and engagement as compared to those who only have limited exposure. Research participants will be randomly assigned to the control group (no services) or one of the three treatment conditions: view TV only; engage in participatory website only; or both. Pre-tests and posttests and statistical tools will be used to compare changes. Sub-studies will examine dosage levels and effectiveness in engaging those who have not previously been interested in STEM.
In concert with the overall strategy of the Advancing Informal STEM Learning (AISL) program to advance new approaches to, and evidence-based understanding of, the design and development of STEM learning in informal environments, Principal Investigators from Oregon State University, University of Idaho, and University of Texas at Dallas, will study a range of data in online social networks to identify evidence of the long-term impact of informal STEM education. Tracking informal learners over time to understand the impact of informal learning experiences has been a longstanding, daunting, and elusive challenge. Now, with massive amounts of data being shared and stored online, education researchers have an unprecedented opportunity to study such data and apply data analytics and visualization technologies to identify the long-term, cascading effects of informal STEM learning. Research findings will inform the design and development of a data-analysis tool for use by education practitioners to improve STEM learning experiences online, through television and film, and at informal education institutions. An independent external critical review board of learning scientists, computer scientists, engineers, informal STEM education practitioners, participating partners, broadcast media professionals, and policymakers, will ensure a robust evaluation of the research and effectiveness and utility of the data analysis tool to improve practice. A summary report for the field will be written on the scientific and practical reliability and validity of the research and data-analysis model, and the value of the work for audiences beyond informal STEM education practitioners and policymakers. The research is contemporaneously relevant, advancing innovative use of data-mining and data-analysis processes to better understand how informal learners communicate STEM learning experiences and interact with STEM content over time, across a range of social networks. Investigators will research: 1) whether learners who engage in informal STEM education experiences further their learning through discussions and sharing of information in social media networks, 2) which types of data are present in social media that are relevant for understanding the cascading impacts of learning over time, and 3) how learning may evolve independently within shared social networks, which, if discovered, could provide a predictive computational model with implications for significant impact across both formal and informal education. Investigators will employ existing and modified data crawlers to search for key terms and phrases, assess spikes and deformations in posts, queries, and blogs, and experiment with their test data to find which types or configurations of keywords or search terms deliver the most reliable and accurate results. A variety of formats will be explored to test various strategies with participating partners and practitioners. Data will be visualized to represent the following dimensions of learning: a) Interest/Affect, b) Recommendations, c) Understanding/Knowledge-Seeking, and d) Deeper Engagement.
As part of its overall strategy to enhance learning in informal environments, the Advancing Informal STEM Learning (AISL) program funds innovative resources for use in a variety of settings. This project will study why (or why not) young career adults, aged 18-35 engage with the PBS NewsHour science content via broadcast and/or online avenues to advance their STEM knowledge and skills. This age group has shifted away from viewing traditional broadcast news media and increasingly looks to social media channels for science content. Multiple layers of STEM digital content delivered across multiple platforms (including social media) will be used to identify the attributes that engage and motivate these 18-35 year olds. Deliverables include 12 broadcast segments each year with STEM research coverage and a range of transmedia efforts (e.g. additional formats distributed via Instagram, Vine, YouTube, etc.) for testing with the target audience. A complementary component of the project will be an apprenticeship program in which each year five college age students from journalism schools join the professional reporters at the NewsHour to produce STEM content using new and innovative strategies engage to 18-35 year olds. The PBS NewsHour broadcast is currently viewed by 1.4 million adults each night and the website has 2.6 million unique visitors each month. The research will attempt to define the learning ecologies of 18-35 year olds using psychographic profiles and case studies to illustrate the range of science learners including those in underrepresented groups. The first research component uses a quantitative approach to assess the reaction of the early career adults to the 12 STEM broadcast segments in their original form and after repackaging for social media. A control group audience will watch the original broadcast of each STEM segment and respond to an online questionnaire that will establish how viewers use and/or pass on STEM content and to whom. The test audience will view the content that has been repackaged and presented on a different media platform responding to the same online questionnaire and allowing comparisons of the two groups. The second research component will focus on the college-age journalism apprentices and use participatory action research. The apprentices will collect data about their experiences and reflect on their contributions to STEM reporting. The third research component will be an ethnographic study of the post-production and editorial teams at the PBS NewsHour using focus groups to elicit feedback and evaluate their metacognitive thinking about how to produce stories for early career adults. Data will be collected and analyzed from three groups: early career adults 18-35 years of age; journalism apprentices; and the PBS NewsHour editorial teams. Overall the research will provide new knowledge about producing and distributing digital STEM media that engages and impacts early career adults.
A recent report by the Association for Computing Machinery estimates that by decade's end, half of all STEM jobs in the United States will be in computing. Yet, the participation of women and underrepresented groups in post-secondary computer science programs remains discouragingly and persistently low. One of the most important findings from research in computer science education is the degree to which informal experiences with computers (at many ages and in many settings) shape young people's trajectories through high school and into undergraduate degree programs. Just as early language and mathematics literacy begins at home and is reinforced throughout childhood through a variety of experiences both in school and out, for reasons of diversity and competency, formal experiences with computational literacy alone are insufficient for developing the next generation of scientists, engineers, and citizens. Thus, this CAREER program of research seeks to contribute to a conceptual and design framework to rethink computational literacy in informal environments in an effort to engage a broad and diverse audience. It builds on the concept of cultural forms to understand existing computational literacy practices across a variety of learning settings and to contribute innovative technology designs. As part of its overall strategy to enhance learning in informal environments, the Advancing Informal STEM Learning (AISL) program funds new approaches to and evidence-based understanding of the design and development of STEM learning in these settings. This CAREER program of research seeks to understand the role of cultural forms in informal computational learning experiences and to develop a theoretically grounded approach for designing such experiences for youth. This work starts from the premise that new forms of computational literacy will be born from existing cultural forms of literacy and numeracy (i.e., for mathematical literacy there are forms like counting songs -- "10 little ducks went out to play"). Many of these forms play out in homes between parents and children, in schools between teachers and students, and in all sorts of other place between friends and siblings. This program of study is a three-phased design and development effort focused on key research questions that include understanding (1) how cultural forms can help shape audience experiences in informal learning environments; (2) how different cultural forms interact with youth's identity-related needs and motivations; and (3) how new types of computational literacy experiences based on these forms can be created. Each phase includes inductive research that attempts to understand computational literacy as it exists in the world and a design phase guided by concrete learning objectives that address specific aspects of computational literacy. Data collection strategies will include naturalist observation, semi-structured, and in-depth interviews, and learning assessments; outcome measures will center on voluntary engagement, motivation, and persistence around the learning experiences. The contexts for research and design will be museums, homes, and afterschool programs. This research builds on a decade of experience by the PI in designing and studying computational literacy experiences across a range of learning settings including museums, homes, out-of-school programs, and classrooms. Engaging a broad and diverse audience in the future of STEM computing fields is an urgent priority of the US education system, both in schools and beyond. This project would complement substantial existing efforts to promote in-school computational literacy and, if successful, help bring about a more representative, computationally empowered citizenry. The integrated education plan supports the training and mentoring of graduate and undergraduate students in emerging research methods at the intersection of the learning sciences, computer science, and human-computer interaction. This work will also develop publically available learning experiences potentially impacting thousands of youth. These experiences will be available in museums, on the Web, and through App stores.