Upcoming +DS Opportunities

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+Data Science (+DS) is a Duke-wide program, operating in partnership with departments, schools, and institutes to enable faculty, students, and staff to employ data science at a level tailored to their needs, level of expertise, and interests. For more information, please visit our website at https://plus.datascience.duke.edu.

Upcoming Virtual Learning Experiences

Overview of Ethical Issues with Emerging AI
Tuesday, November 10 | 4:30-5:30 PM
Nita Farahany

Artificial intelligence (AI) can reduce costs, improve efficiency, and potentially improve accuracy in many critical areas of life that impact humans. And yet, many of the tools of AI lack transparency, have inherent biases, and are difficult to govern. Where does this leave society and what are some of the known and unknown risks of what has come to be known as the “Fourth Industrial Revolution” underwritten by AI? This discussion will focus on AI and its implications for changes in humanity, the need for greater transparency, the growing use of AI in critical areas of decision-making, the importance of safeguarding against biases, explore issues about privacy, safety and security, and the future of work. Register at: https://training.oit.duke.edu/enroll/common/show/21/175296

Meredith Brown, a third-year undergraduate student at Duke studying computer science and statistics, describes her experiences at Duke solving real-world issues with data science.

Read more about her journey at https://computationalthinking.duke.edu/2020/10/19/solving-real-world-issues-with-data-science/

A photograph of a large group of people attending an EngageDurham Listening and Learning session

David Bradway, PhD, a research scientist in Biomedical Engineering at Duke, attended a session in the COVID + Data Science virtual seminar series this summer and was inspired to apply the methods to his volunteer work with EngageDurham.

Read more about his experience at https://computationalthinking.duke.edu/2020/11/03/data-science-experience-highlight-staff-scientist-david-bradway/

Jessilyn Dunn, Assistant Professor of Biomedical Engineering

In the final lecture of the COVID + Data Science summer seminars, Duke Biomedical Engineering assistant professor Jessilyn Dunn, PhD, discussed how her Big Ideas Lab at Duke is using data from smart phones, smart watches, fitness trackers and other wearable devices to create a screening system for COVID-19.

Read more about her research at https://computationalthinking.duke.edu/2020/11/03/faculty-highlight-jessilyn-dunn/

Updates from the Center for Computational Thinking

The Duke Center for Computational Thinking (CCT) prepares 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. +DS is one of the partner programs supporting the CCT mission. To learn more, please visit https://computationalthinking.duke.edu/.

Incorporating Computational Thinking into Your Teaching

The Center for Computational Thinking (CCT) would like to work with Duke faculty to deliver co-curricular training that complements what faculty are teaching in their classes (this semester, and in future semesters). The CCT would be glad to deliver a virtual learning session for any class at Duke in any department. Our scope includes a breadth of computational topics, such as artificial intelligence, machine learning, case studies, and the ethics of applying advanced quantitative methods. To request a consultation, please tell us more about your class at: https://duke.qualtrics.com/jfe/form/SV_4YHSabqQINmabo9

Python Practical Programming Winter School
December 1-18, 2020

Enrollment is full for this event, but a waitlist is available. The Duke Center for Computational Thinking is pleased to announce a 3-week winter school for Duke students to learn how to program, using the Python language. Learners will engage with the content in a virtual format, primarily in asynchronous modules paired with real-time office hours. This course takes a practical approach in using expert tools with a focus on programming fundamentals. Learn more at https://computationalthinking.duke.edu/2020/10/01/learn-how-to-program-using-the-python-language-3-week-winter-school-for-duke-students/

Computational Thinking in the Duke Winter Breakaway
January 4-15, 2021

The AI for Everyone program introduces students to artificial intelligence (AI) and its applications through a focus on machine learning for image analysis and natural language processing: https://winterbreakaway.duke.edu/ai-for-everyone-2/

In Digital Intelligence: The Ethics of Emerging Technologies, students will gain exposure to selected topics in the ethical and social impact of emerging technologies through an applied ethical lens: https://winterbreakaway.duke.edu/digital-intelligence/