Duke Generic
Duke Generic

Digital Intelligence

We prepare Duke graduates to apply computational thinking to ideas, challenges, and opportunities while simultaneously considering the ethical, legal, and social impacts of technology on humans for the betterment of society.

Technology rapidly transforms society with an implicit promise to help us live better lives. While the positive effects are indisputable, the tenet ‘move fast and break things’ also creates harmful consequences for individuals, societies, and our planet. The Duke Digital Intelligence curriculum will teach students how to view impactful technologies through an ethical lens.

The Digital Intelligence (DQ) course will be launching in the spring semester of 2021. The course considers a range of impactful emerging technologies through an applied ethical lens. In a flipped-classroom format, students will watch videos on a weekly basis featuring leading technology, ethics, and policy experts as they discuss relevant and timely topics. Students will meet in small discussion groups to collectively engage with essential themes presented in the video and related literature.


Participants from the 1st +DS program AI for Art competition.

Duke Center for Computational Thinking

This course is a collaboration with the Center for Computational Thinking and Duke OIT.

The Center for Computational Thinking (CCT) recognizes that faculty, students, and staff from different disciplines have different needs and interests, and will provide customized training in computation, modeling, data science, and the ethics of emerging technologies. This training will add value to the traditional curriculum, preparing students for the modern workforce, where computational skills are a key to graduate success.

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Opportunities for Students

The programs within the Center for Computational Thinking are delivered both from the Center and by its partners and connect students to a variety of accessible learning opportunities through multiple pathways including:

  • Curricular team-based learning via majors/minors and graduate programs, especially team-based experiences
  • Co-curricular learning to enhance coursework
  • Personalized learning through workshops, synchronous and asynchronous learning, project-based experiences, summer programs, and events
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