Dear All,
We will be offering a course on Gender in ICTD and HCI research during the
winter quarter. The course will be open to grad students outside of CSE and
CSE grads can receive post-qual credit. Please contact me if you are

---------- Forwarded message ----------
From: Elise deGoede Dorough <>
Date: Tue, Dec 5, 2017 at 2:15 PM
Subject: COURSE ANNOUNCEMENT: CSE 599 Gender in ICTD & HCI Research
To: cs-grads - Mailing List <>
Cc: Ruth Anderson <>, Jennifer Webster <>

As with all graded CSE 599s, this course will count towards your post-quals
requirements! See details below.

Time schedule details here:

*Gender in ICTD & HCI Research*

*CSE 599 (4 credits)*

Instructors: Ruth Anderson & Jennifer Webster

Winter 2018 on M/W 3:30-4:50pm

This graduate seminar explores the topic of gender as related to computer
science research, especially in the fields of Information and Communication
Technology for Development (ICTD) and Human Computer Interaction (HCI).
Students will engage in close readings of foundational texts on gender, as
well as the emerging ICTD and HCI literature that uses gender analysis as a
framework for research in both the West and in resource-constrained regions
of the world. Through discussion and written assignments students will
build a strong foundation for incorporating gender analysis into their
research. They will also be able to more effectively evaluate the current
work being conducted in the fields of ICTD and HCI as related to gender.
Some of the topics under consideration will include gender as related to
feminist HCI, design, health and safety, financial services, and mobile
technologies and connectivity.

*Objectives and Learning Outcomes*

• An appreciation for gender as an analytical category and the impact its
application could have on computer science research.

• A critical and informed approach to evaluate and apply gender frameworks
in ICTD and HCI research.

• A broad familiarity with the current and past research in ICTD and HCI
that incorporates an analysis based on gender.

• An understanding of the benefits and constraints of using gender analysis.


*Jen Webster*
*Research Coordinator, **Digital Financial Services Research Group*
*Paul G. Allen School of Computer Science & Engineering*
University of Washington
Seattle, WA 98195-2350
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