Reflections from a researcher and caregiver on the process of working together on a study examining strategies to communicate the relevance of engineering practices at exhibits.
This guide shares some of the successes and challenges behind the Science Museum of Minnesota’s Cardboard City exhibition and our partnership with museums across the country through Cardboard Collaborative.
The Cardboard Collaborative is the product of 10 years of work at the Science Museum of Minnesota and part of a larger collaboration with local community organizations to center BIPOC family priorities and experiences. This guide is intended to share what they have learned and support others to create their own cardboard maker worlds.
Despite the centrality of racialized difference to evaluation, the field has yet to develop a body of literature or guidelines for practice that advance understanding of difference and inequality, including its own role therein. The purpose of this study was to broaden understanding of observed differences and inequality in evaluation beyond individuals and individual lifetimes.
Artificial Intelligence (AI), the research and development of machines to mimic human thought and behavior, encompasses one of the most complex scientific and engineering challenges in history. AI now permeates essentially all sectors of the economy and society. Young people growing up in the era of big data, algorithms, and AI need to develop new awareness, content knowledge, and skills to understand humans’ relationships with these new technologies and become producers of AI artifacts themselves.
YR Media and MIT’s Understanding AI project researched and developed innovative approaches to