Siegel Family Endowment is committed to supporting organizations that are on the frontlines of building an equitable future by helping to nurture enduring skills and frontier skills. We explain how we’re conceptualizing these vital skills and how our thinking has evolved over time. We also share case studies of four grantee organizations that are realizing the promise of enduring and frontier skills in meaningful ways.
Our latest case study highlights how Biodesign Challenge encourages students to explore ways that biotechnology and biodesign principles and processes can be leveraged to address some of the world’s most pressing problems. In doing so, Biodesign Challenge is equipping a new generation of leaders with enduring and frontier skills and mindsets that they will need in order to contribute substantially to emerging industries.
Project Invent offers design thinking, engineering, and entrepreneurship professional development opportunities
to middle and high school educators across subject areas. With this training, educators lead their students to identify a real problem in their community and invent a technology solution. Project Invent empowers students with 21st-century skills to succeed individually and impact globally, through invention.
Our latest case study highlights how Genspace, the world’s first community biology lab is building meaningful connections and
redefining who can participate in science.
So far, artist concerns over Generative AI has been tackled as a copyright issue, but Siegel's Research Advisor for Emerging Technology, Eryk Salvaggio, suggests it is an opportunity to ask bigger questions about data rights.
AI Primers for Journalists is the latest in a series of emerging tech primers researched, written, and published by Aspen Digital. We sat down with Siegel Research Fellow and Emerging Technology Researcher at Aspen Digital, Eleanor Tursman and Aspen Institute Director of Emerging Technologies, B Cavello, to discuss their approach to the work and what they hope to see come out of it in the future.
Social media, despite its flaws, may have heralded a golden era of participation. Yet participation hasn’t become the norm at the level of designing and developing social networks. For years, people have asked: where is the alternative? Read Eryk's thoughts in Tech Policy Press
In order to prepare students for the world they are set to enter, our education systems ought to prioritize teaching AI, rather than banning it. Thankfully, we already have much of the curriculum in place to do so. Our Executive Director Katy Knight, explains that while AI may seem like magic, it actually rests on skills that CS educators have taught for decades.
Low rates of homeownership mean Black households lack a tremendous source of wealth generation that could allow them to enter competitive fields like real estate. And without enough diverse developers with proximity to the challenges facing urban and low-income neighborhoods, it’s no surprise there continues to be a lack of affordable and accessible housing within these communities.
Siegel Research Fellow Jakob Mökander, Visiting Scholar at the Princeton Center for Information Technology Policy, published a paper alongside collaborators at the University of Oxford which seeks to expand the methodological toolkit available to tech providers and policymakers who wish to analyse and evaluate LLMs from technical, ethical, and legal perspectives.
If we want AI to be anchored in the public interest - designed to serve all citizens - we’re doing it wrong. To truly capitalize on all that generative AI is capable of across communities, we must take the following steps.
Researchers must develop a science to study the collective patterns of human–algorithm behavior so that it is possible to regulate adaptive algorithms and ensure they have a safe, beneficial role in society argues Siegel Research Fellow J. Nathan Matias in a Comment piece published in Nature this week.
