The National Academy of Sciences, in partnership with the Nobel Foundation will host the second Nobel Prize Summit: Truth, Trust and Hope on May 24-26, 2023.
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TEAM MEMBERS:
Franklin Carrero-Martinez Emi Kameyama
resourceprojectProfessional Development, Conferences, and Networks
Data science is ever-present in modern life. The need to learn with and about data science is becoming increasingly important in a world where the quantity of data is constantly growing, where one’s own data are often being harvested and marketed, where data science career opportunities are rapidly increasing, and where understanding statistics, data sources, and data representation is integral to understanding STEM and the world around us. Museums have the opportunity to play a critical role in introducing the public to data science concepts in ways that center personal relevance, social connections and collaborative learning. However, data science and statistics are difficult concepts to distill and provide meaningful engagement with during the brief learning experiences typical to science museums. This Pilot and Feasibility study brings together data scientists, data science educators, and museum exhibit designers to consider these questions:
What are the important data science concepts for the public to explore and understand in museum exhibits?
How can museum exhibits be designed to support visitors with diverse backgrounds and experiences to engage with these data science concepts?
What principles can shape these designs to promote broadening participation in data science specifically and STEM more broadly?
This Pilot and Feasibility project combines multidisciplinary expert convening, feasibility testing, and early exploratory prototyping around the focal topic of data science exhibits. Project partners, TERC, the Museum of Science, Boston, and The Tech Interactive in San Jose will engage in an iterative process to develop a theoretical grounding and practical guidance for museum practitioners. The project will include two convenings, bringing together teams of experts from the fields of data science, data science education and museum exhibit design. Prior to the first convening, an initial literature summary and a survey of convening participants will be conducted, culminating in a preliminary list of big ideas about data science. Periodically, participants will have the opportunity to rank, annotate and expand this list, as a form of ongoing data collection. During the convenings, participants will explore the preliminary list, share related work from the three disciplines, engage with related data science activities in small groups, and work together to build consensus around promising data science topics and approaches for exhibits. Participant evaluation will allow for iterative improvement of the convenings and the capture of missed points or overlooked topics. After each convening, museum partners will create prototypes that respond to the convening conversations. Prototypes will be pilot tested (evaluated) with an intentionally recruited group of families that includes both frequent visitors and those who are less likely to visit the museum; diversity in terms of race, languages and dis/ability will be reflected in selection. Pilot data collection will consist of structured observations and interviews. Results from the first round of prototyping will be shared with convening participants as a way to modify the list of big ideas and to further interrogate the feasibility of communicating these ideas in an exhibit format. Results from the convenings and from both rounds of prototyping will be combined in a guiding document that will be shared on all three partner websites, and more broadly with the informal STEM learning field. The team will also host a workshop for practitioners interested in designing data science exhibits, and present at a conference focused on museum exhibits and their design.
In both the STEM media and entertainment sectors women are significantly unrepresented. Women account for only 21% of the upper-level positions in film (directors, writers, executive producers, cinematographers, etc.) according to a recent study. This small conference directly addresses how to expand the volume of STEM focused media and entertainment content centered on women and girls. The Creative Workforce Summit: Women Storytellers Explore STEM will be held in New York City and online (hybrid) in September 2022. The goal of the conference is to 1) encourage an infrastructure of support for the creation and distribution of informal STEM educational film, digital, and television content that is centered on women and girls and 2) to strengthen ties between women in media, entertainment, and women in STEM fields. The agenda includes keynote addresses by thought leaders in STEM disciplines and media, panels of industry leaders, a youth journalist interviews, and film screenings with filmmaker and scientist Q&As. The conference will be a hybrid event to allow for the greatest access to a broader audience. The projected 300 in-person and 1000+ virtual attendees will be drawn from New York Women in Film and Television’s extensive membership and 100+ partner organizations in entertainment and media, including Black Public Media, Brown Girls Doc Mafia, Firelight Media, ReelAbilities, and the National Association of Latino Independent Producers. The conference will be followed by a publication based on the convening featuring the keynotes, abridged panel discussions, additional interviews, and industry representation data analysis. In addition, a curriculum guide for high schools and colleges focused on STEM and film collaborations will be developed and distributed.
A post conference quantitative survey will be conducted with conference participants to gather data on the impacts of the conference. Questions to be asked include: What new professional connections were made by women attending the conference? What was learned related to the craft of STEM related media production and distribution? Were new and meaningful connections made with participants outside the participant’s current field/networks? Additional analysis will be done by the organizers of the conference in planning post-conference strategies for supporting and building the women in STEM infrastructure.
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TEAM MEMBERS:
Cynthia Lopez
resourceprojectProfessional Development, Conferences, and Networks
The New York Hall of Science (NYSCI) will convene a two-day participatory design conference of to identify research and education opportunities in informal settings for supporting literacy concerning Artificial Intelligence (AI), especially for diverse and underserved youth whose communities are impacted by the bias in some AI processes. AI uses computer systems that simulate human intelligence. AI systems impact nearly every aspect of daily living, performing tasks underlying navigation apps, facial recognition, e-payments, and social media. AI can perpetuate inequities and biased outcomes in the culture at large. The conference will explore how to promote engagement and conceptual learning among youth about how AI works and what skills are needed to critically use and apply AI. The conference will also explore ways to support the interests of diverse and underserved children and youth in shaping AI and joining the growing STEM workforce that will use AI in their professions.
The conference will identify key features and needs with respect to AI literacy and explore the specific roles that informal learning can play in advancing AI literacy for youth in diverse and underserved communities. Participants in the conference will include designers, learning scientists, researchers, informal and formal educators, and science center professionals. Attendees will work in separate teams and as a group to explore and critique existing AI tools and learning frameworks, discuss lessons learned from promising AI literacy programs, and identify design principles and future directions for research. Specific attention will be paid to informal mechanisms of engagement, promising networks, and research-practice partnerships that take advantage of the unique affordances of informal learning and community services to accelerate AI literacy for historically excluded youth. The insights gained from this work will result in a set of research and programmatic priorities for informal institutions to promote AI literacy in culturally responsive ways. The resulting published guide and community events will broadly disseminate priorities and design principles generated by this convening to help informal learning institutions and community learning organizations identify both assets and priorities for addressing diversity, equity, access, and inclusion issues related to AI literacy.