Скачать или смотреть Keynote Presentation: How to Grow (Almost) Anything: A Robotics-Enabled Learning Model for Global...

Presented By: David Sun Kong, PhD

Speaker Biography: David Sun Kong, Ph.D. is a synthetic biologist, bio designer, community organizer, musician, and photographer based in Lexington, MA. He is the Director of the MIT Media Lab's Community Biotechnology Initiative. His research explores the multidisciplinary domains of synthetic biology, biological design and art, collective intelligence and movement building, and STEAM learning. Dr. Kong is a technical leader in synthetic biology, having pioneered the development of novel “lab-on-a-chip” technologies for synthesizing DNA and engineering the living world. He is the founder of the Global Community Bio Summit, a gathering convening the global network of independent, grassroots biology labs, and co-founder and managing faculty of “How To Grow (Almost) Anything,” an international course on synthetic biology. David’s work has been covered via outlets such as Science, the Washington Post, Showtime, the Boston Globe, NEO.Life, NPR Boston, Gizmodo, and STAT News.

Webinar: Keynote Presentation: How to Grow (Almost) Anything: A Robotics-Enabled Learning Model for Global Synthetic Biology Education with Live Q&A

Webinar Abstract: In the MIT Media Lab global synthetic biology course How To Grow (Almost) Anything, students from MIT, Harvard, and a global classroom of hundreds learn concepts and skills at the forefront of synthetic biology. Topics include DNA and protein design with AI tools to organism engineering and bio design, with students developing hands-on skills enabling them to grow (almost) anything by the end of the course. However, during the pandemic, with laboratories closed, our instructor team was forced to innovate, and we taught our students lab automation and python, enabling them to conduct experiments from (almost) anywhere. From this experience we developed a model for distance-learning and synthetic biology education utilizing a robotic cloud lab network. In this talk, I will discuss our work in establishing this network, collaborative group research projects enabled by this cloud lab, and our visions for the future for how such infrastructure can address challenges in bioliteracy and workforce development for building our future bio economy.

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