I am a junior majoring in Applied & Computational Mathematical Science. With interests and enthusiasm in data science and information technology, I’m studying coursework related with math, statistics, and computer science, and practicing programming and data manipulation work. To learn how we apply data to solve problems and approach research goals, I am currently working on the UWEXP study to help improve the way of handling and processing the survey data.
Kathryn Lum is a third year undergraduate majoring in Computer Science at the University of Washington – Seattle. She is interested in the intersection of technology and social good. Under Kelly Mack and Megan Hofmann, Kathryn is working on the tactile maps project, researching the use of tactile maps in navigation for people with visual impairments.
Tim is a second-year undergraduate majoring in Statistics. His passion lies in data science and human-computer interaction. He is currently working on the UWEXP project to develop technologies that collect and improve student’s experience.
Jessica Birchfield is a junior majoring in Computer Science with a Chinese minor. She is passionate about using technology to address human needs and enhance people’s lives. Her interests include fabrication, computer animation, and computer graphics. She is currently working on the Tactile Maps project in the lab.
Jerry is a PhD student at the Paul G. Allen School for Computer Science & Engineering at the University of Washington. He conducts research in the Make4All Lab and UbiComp Lab, where he’s advised by Jennifer Mankoff and Shwetak Patel.
His research focuses on improving healthcare accessibility by creating assistive technologies using digital fabrication and wearable sensing. He also works in the pure fabrication space, creating novel 3D-printable sensors and optimizing the strength of 3D-printed parts.
Website: https://jerrycao22.github.io/
Jacque is a senior studying Computer Science and minor in Mathematics, and also works as a Student Ambassador in the Paul G. Allen School of Computer Science and Engineering, promoting computing and technical education to under-resourced and under-represented K-12 students. With a broad curiosity of how technology and computing influences interpersonal interactions, she is currently working on the UWEXP study to help develop the mobile technology used to collect student data, encompassing her diverse interests in mobile and accessible technologies, education, and personal health and wellness.
Han is a PhD student in the Paul G. Allen School of Computer Science & Engineering. She is advised by Prof Jennifer Mankoff (Computer Science) and Prof Anind K. Dey (Information School).
Her research is human-centered, focusing on understanding human behaviors and designing AI systems that promote well-being, accessibility, and learning. For more details, please visit her personal website.
Daniel is a first-year PhD student in the Paul G. Allen School of Computer Science and Engineering. He is advised by Drs. Jennifer Mankoff (Computer Science) and Jeffrey Lipton (Mechanical Engineering). He graduated from Texas A&M University with a BS in Electrical Engineering (2012) and an MS in Electrical Engineering from Georgia Tech (2016) and afterwards worked at Texas Instruments Kilby Research Labs (2016-2019).
Daniel’s research interests lie at the intersection of inverse design, additive manufacturing, and accessibility of fabrication. His prior work focused on industrial scale additive manufacturing applications; however, he has since turned his focus toward software solutions to enable the design of intricate digital models with minimal effort.
This is an individual project to make your webpage more accessible. Learning goals include
This project has two phases.
In phase one, you will assess problems with the web page you choose.
You can assess your own website, if you have one. If not, a next best option would be your personal social media site (such as your linked-in page). If you don’t have one, but use social media such as facebook and twitter you can assess your posts on one of those sites. Finally, if none of those are options, just pick any site you think makes sense.
Once you have selected a web page, you should run it through an accessibility checker. The WebAim accessibility checker, WAVE, is a great choice for many sites. However, if the site requires that you log in, you may need an alternative. A great choice is the Chrome plugin Axe.
You should not change anything about the website you selected before class. You should bring your accessibility checking results to class and have read them over. We will work together in class on addressing the problems you found.
In phase two, you will fix problems on the website you chose. We will talk about how to write alt text, set up proper header structures, simplify language, and what else is possible within the constraints of the technology you are using.
Taylor is a second-year PhD student in the Paul G Allen School of Computer Science and Engineering. She is advised by Professor Jennifer Mankoff. In 2017, she graduated from the University of California, Santa Cruz with bachelor’s degrees in Computer Engineering and Cognitive Science. She then earned her Masters in Human Computer Interaction from Rochester Institute of Technology in 2019.
Her research interests focus on trying to make fabrication more accessible for people with disabilities. Her prior research explored how to make the e-textile circuit development process more accessible for adults with intellectual disabilities. Her recent projects focus on understanding the kinds of difficulties that people with disabilities face while knitting, and developing technologies to help users overcome some of these difficulties.
