Livestream link available here!

On Wed, Dec 4, 2019 at 10:31 AM Matthew Johnson <>

> Reminder that this will begin in 5 minutes, in CSE2-371!
> On Mon, Dec 2, 2019 at 8:03 PM Matthew Johnson <>
> wrote:
>> 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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