Reminder that this will begin in 5 minutes, in CSE2-371!

On Mon, Dec 2, 2019 at 8:03 PM Matthew Johnson <>

> Hello!
> We will have Josh Hug from UC Berkeley joining us this week for a special
> change seminar on Wednesday at 10:30 in CSE2-371. (There will not be a
> speaker on Tuesday.)
> We hope to see you all there, but if you can’t make it we will send out a
> livestream link before the talk on Wednesday as well!
> *Embedding Social Impact Awareness into Introductory CS Education*
> *Abstract*
> Computer science and data science education provide our students with
> tremendous power and responsibility immediately after graduation. Many of
> our graduates find themselves embedded in organizations like Facebook,
> Google, and Amazon that shape the destinies of billions of people around
> the world. As university instructors, we do a great job providing the
> technical foundation for our students' future careers, but I believe that
> we could do a much better job helping students chart the broader narrative
> arcs of their lives.
> Berkeley has long had a dedicated Social Implications of Computing Course.
> In this class, we discuss the impacts of computing on all aspects of
> society, and have students discuss and reflect on some of the big ethical
> challenges faced by technical workers and entrepreneurs, e.g. free policies
> on social media platforms. Recently, we have begun to integrate such bigger
> picture discussions into our technical coursework. In this talk, I will
> describe these efforts to integrate professional development, career goal
> reflection, and ethics into three core technical courses in UC Berkeley's
> CS and Data Science Majors, as well as the challenges we've faced along the
> way.
> *Bio*
> Josh Hug is an Associate Teaching Professor in Computer Science at UC
> Berkeley. He completed his PhD in EECS at UC Berkeley in 2011, with a
> primary focus on reverse engineering of bacterial signal processing systems
> and bacterial decision making and a minor focus in education. After
> Berkeley, he taught at Princeton from 2011-2014, where he helped develop
> the Princeton Algorithms MOOC on Coursera. He joined the Berkeley EECS
> faculty in 2014. He most frequently teaches Data Structures, Data Science,
> and the Social Implications of Computing, and is the Equity and Inclusion
> Officer for CS undergraduates. His primary research interest is in learning
> at scale, especially tools and social structures for supporting struggling
> students. Before UC Berkeley, he was born, raised, and went to college in
> Texas where it was very hot and there were many terrible bugs. Prior to his
> time in the Lone Star State, he was a dispersion of random molecules,
> unassembled into any greater being.
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