Tuesday, October 9, 2012


The Women in Science and Engineering (WiSE)
AUTUMN Quarter Lecture Series
Wednesday Evenings in November

Time:             6:30 – 8:00pm      
Location:       Kane Hall 120             Doors open @ 6:00

·        Lectures are FREE but registration is required. On-line Registration is  NOW open https://catalyst.uw.edu/webq/survey/wisecat/179064

November 7th, 2012        Wednesday  

Presenter: Coleen Carrigan, Doctoral Candidate, Anthropology
Research Associate, UW ADVANCE Center for Institutional Change

TITLE:  Gender @ Work in a Dot Com World
Computer technology plays a critical role in US society and gives computer scientists and engineers unparalleled power and influence. Yet, since the mid-1980’s, women’s participation in computing began declining drastically, a trend that continues today. Anthropology can help us understand how US cultural values govern gender roles and influence women’s interest and inclusion in computing. Hear how women in computing negotiate and resist gender norms and what cultural innovations are needed to create a diverse group of computer scientists and engineers who address the most pressing challenges of our society. Excerpts from the video Miss Representation will be viewed and discussed.

November 14th, 2012      Wednesday

Presenter:      Anna Carlin, Professor, Computer Science & Engineering (CSE), UW Paul G. Allen Center for CSE  

TITLE: A Brave New World: The Scientific, Economic and Social Impact of Computer Science
Computer science and computing are transforming all aspects of the modern world. In this lecture, we will take a short tour of the intellectual underpinnings, societal implications, and grand challenges in computer science and related fields for (And nowadays, everything is a related field...)

November 28th, 2012      Wednesday 

Magdalena Balazinska, Assistant Professor, Computer Science & Engineering (CSE), UW Paul G. Allen Center for CSE  

TITLE:  Big Data Management Promises and Challenges
Lecture/Abstract Description:  Our society is generating data at an unprecedented scale and rate. The ability to manage this "Big Data" holds the promise to deliver novel services and accelerate scientific discovery. We will discuss some of the opportunities raised by Big Data and also some of the challenges associated with managing it, including exciting recent research from the computer science database group at the University of Washington.