New York City is a leader in Open Data initiatives, and has a large and diverse population. This project studies informal data science learning at workshops and trainings associated with NYC’s open data ecosystem.
This poster was presented at the 2021 NSF AISL Awardee Meeting.
The study contributes to mediatization research. Mediatization is understood as a process during which individual and collective actors adapt towards the demands of publicity and public attention. The manuscript introduces a differentiation of mediatization strategies, ranging from defensive to offensive strategies. This conceptual differentiation is applied empirically regarding relevant stakeholders within the German science-policy constellation from politics, science, and science funding. Results are based on 35 in-depth interviews with decision makers. The results section deals with
DATE:
TEAM MEMBERS:
Andreas Scheu
resourceresearchProfessional Development, Conferences, and Networks
This study explores the field of scientific policy advice in environmental and energy policies in France to gain insights into the role of think tanks. The field evolved along with the growth of think tanks. The think tanks refer to several orders of worth and combine them in their communication in order to qualify their expertise. The results of the study reveal that the think tanks have become more independent actors and that the field of scientific policy advice has gained autonomy. Both aspects indicate that the relationship between politics and expertise has gradually changed in France.
The pilot test for Changemakers: Advancing Community Science Literacy was a capacity building program integrating strategic discourse & community change theory that identified a new path for advancing community STEM literacies. The results of experiment established partnerships with locally based non-profits, and a collaborative effort to address environmental justice and social disparities in areas threatened by climate change.
The evaluation was underaken with instruments developed for multiple research projects to support cross-project comparative analysis.
This instrumemts presented
The pilot test of a capacity building program integrating strategic discourse & community change theory identified a new path for advancing community STEM literacies. The results of experiment established partnerships with locally based non-profits working to address environmental justice and social disparities in areas threatened by climate change identified five recommendations to reset the role of ISLC’s as more relevant to the communities: 1) Allocate Time to Build Relationships; 2) Develop a Shared Definition of Resilience; 3) Situate Community Aspirations as Context for STEM Learning; 4)
The informal science education (ISE) sector has an important role to play in addressing current societal issues, including changes in environmental conditions, systemic poverty, and societal responses to natural and manmade disasters. These complex social problems require engaging all sectors of society in deep discussions around science, engineering, technology, and mathematics (STEM) and inclusion, diversity, equity, and access (IDEA). To do this, ISE professionals need training in how to bring in diverse perspectives, support inclusive learning, and provide equal access to institutional policymaking, practices and systems. People from different backgrounds within informal science institutions (ISIs) and local communities bring new perspectives, identify new needs, and foster innovation. This broadening of perspectives is critical to address the complex social problems of the 21st century. A key part of the needed transformations in informal science institutions is the preparation of change agents within the ISE sector capable of reimagining what just and equitable informal science institutions might look like. iPAGE 2.0 is an NSF Advancing Informal STEM Learning (AISL) Innovations in Development project conducted by the Science Museum of Minnesota and the Garibay Group in concert with 27 ISIs from across the US. The overarching goal of the project is to support transformative change toward IDEA in the ISE sector. The project is based on an extension service model of knowledge diffusion which seeks to bridge the knowledge-to-action gap by creating intermediaries that can translate research into practical innovations that can be used by practitioners in ISIs. The project brings together teams of strategically placed individuals within ISIs and prepares them to work with their colleagues to enact research-based practices and practical organizational changes toward greater equity and diversity. This project is funded by the AISL program, which seeks to advance new approaches to, and evidence-based understanding of, the design and development of STEM learning in informal environments. This includes providing multiple pathways for broadening access to and engagement in STEM learning experiences, advancing innovative research on and assessment of STEM learning in informal environments, and developing understandings of deeper learning by participants.
This ISE professional development initiative will work with annual first-year cohorts consisting of leadership teams from 4-6 ISIs. Each new cohort will spend 11 days together in a 5-day institute and three 2-day colloquia either virtually or at the Science Museum of Minnesota. Individuals and teams will adapt, implement, and refine ideas, strategies, and tools from the iPAGE 2.0 framework for use within their specific ISI context and broader professional networks and engage in ongoing communication and consultation with the iPAGE 2.0 community. All individuals on the team will develop skills, such as communication and collaboration expertise, to function as change agents acting to transform their organizations with respect to inclusion, diversity, equity, and access (IDEA) in STEM. Participants from previous cohorts will continue their roles as change agents and enhance learning in the iPAGE 2.0 community by sharing what they have learned at iPAGE 2.0 colloquia. The iPAGE 2.0 framework focuses on developing participants' understanding of 1) how structural inequalities function to reproduce social advantage and disadvantage within ISIs and the ISE sector; 2) the barriers, supports, and transmission vectors that contribute to or inhibit a continued shift in the sector toward IDEA within a network of practitioners, organizations, evaluators and researchers; and 3) how to prepare and support diversity change agents within the network. The project will employ a creative evaluation approach that combines developmental, principles-focused, arts-based, and transformative evaluation and an interactive, mixed-methods research study grounded in culturally responsive methodologies to address central questions concerning individual, organizational, and sector change. The project's primary audience is ISE professionals, and the secondary audience is researchers and evaluators working within the ISE sector. The project will work directly with an estimated 122 individuals from 27 ISIs.
This Innovations in Development award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
This AISL Pilots and Feasibility project will study the data science learning that takes place as members of the public explore and analyze open civic data related to their everyday lives. Government services, such as education, transportation, and non-emergency municipal requests, are becoming increasingly digital. Generally, program workshops and events may be able to support participants in using such data to answer their own questions, such as: "How do City agencies respond to noise in my neighborhood?" and "How do waste and recycling services in my neighborhood compare with others?" This project seeks to understanding how such programs are designed and facilitated to support diverse communities in accessing and meaningfully analyzing data will promote innovation and knowledge building in informal data science education. The team will begin by summarizing best practices in data science education from a variety of fields. Next they will explore the design and impacts of two programs in New York City, a leader in publicly available Open Data initiatives. This phase will explore activities and facilitation approaches, participants' objectives and data literacy skills practice, and begin to identify potential barriers to entry and levels of participation. Finally, the team will build capacity for other similar organizations to explore and understand their impacts on community members' engagement with civic data. This pilot study will establish preliminary evidence of the effectiveness of these programs, and in turn, inform future research into the identifying and amplifying best practices to support public engagement with data.
This research team will begin by synthesizing data science learning best practices based on varied literatures and surveys with academic and practitioner experts.
Synthesis results will be applied as a lens to gather preliminary evidence regarding the impacts of two programs on participants' data science practices and understanding of the nature of data in the context of civics. The programs include one offered by the Mayor's Office of Data Analytics (MODA), which is the NYC agency with overall responsibility for the City's Open Data programs, and BetaNYC, a leading nonprofit organization working to improve lives through civic design, technology, and engagement with government open data. The research design triangulates ethnographic observations and artifacts, pre and post adapted surveys, and interviews with participants and facilitators. Researchers will identify programmatic metrics and adapts existing measures to assess various outcomes related to public engagement with data, including: question formulation, data set selection and manipulation, the use of data to make inferences, and understanding variability, sampling and context. These metrics will be shared through an initial assessment framework for data science learning in the context of community engagement with civic open data. Researchers will also begin to identify barriers to broader participation through literature synthesis, interviews with participants and facilitators, and conversations with other organizations in our networks, such as NYC Community Boards. Findings will determine the suitability of the programs under study and inform future research to identify and amplify best practices in supporting public engagement with data.
This project is funded by the NSF Advancing Informal STEM Learning program, which seeks to advance new approaches to, and evidence-based understanding of, the design and development of STEM learning in informal environments. This includes providing multiple pathways for broadening access to and engagement in STEM learning experiences, advancing innovative research on and assessment of STEM learning in informal environments, and developing understandings of deeper learning by participants.
This Pilots and Feasibility Studies award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
Today, science and politics are in a complex status of reciprocal dependency. Politics is dependent on scientific expertise in order to adequately address highly complex social problems, and science is fundamentally dependent on public funding and on political regulation. Taken together, the diverse interactions, interrelations and interdependencies of science and politics create a heterogenous and complex patchwork — namely, the science-policy interface. The societal relevance for phenomena such as scientific policy advice, science governance or (politically fostered) science communication
Policymakers need data to make informed decisions. Local governments need data to justify policies like bans on single-use plastics. Federal agencies need information to set the conservation guidelines that protect endangered species. Data are also required to report on progress towards international policy targets, like the UN Sustainable Development Goals (SDGs).
But worldwide, we don’t have enough data to understand the current state of our environment, or effectively evaluate the impact of interventions. In 2018, Washington, DC banned plastic drinking straws while citing evidence that 3
DATE:
TEAM MEMBERS:
Anne BowserAlex LongMetis MelocheElizabeth NewburyMeg King
This paper is a reflective account of a public participation project the authors conducted in Japan in 2012–2015, as part of the central government's initiative for evidence-based policy-making. The reflection focusses on three key aspects of the project: setting a precedent of involving public participation in policy-making; embedding an official mechanism for public participation in policy-making process; and raising policy practitioners' awareness of public participation. We also discuss why we think engaging with policy practitioners, while problematic in various ways, is and will continue
At the beginning of May, 2018, the European Commission has presented its proposal for Horizon Europe, the framework programme which defines priorities and budget distribution for the future of European Research and Innovation (2021–2027). The announcement has raised concerns within the community of stakeholders engaged in Responsible Research and Innovation (RRI), a democratization process leading to connecting science to the values and interests of European citizens by mean of participatory processes. Through this flash commentary we aim at providing a wide range of arguments, as well as