Designing for Digital 2020

This seminar is available to in-person attendees in Austin only. It will not be viewable via the Online Conference. 

Yes, we all know that accessibility is important. No one would argue that, but are you writing accessible Word documents and reference guides? Are you creating accessible tutorials? This seminar will walk you through the top accessibility mistakes we make as creators and how to fix them. I will also demonstrate a few free tools to check for accessibility issues. You will leave this seminar feeling confident in your abilities to implement accessibility best practices.

Attendees are encouraged to bring their laptops to this session for hands on practice.

This workshop is available to in-person attendees in Austin only. It will not be viewable via the Online Conference. 

Join voice developers from NPR in a workshop to build a Voice UI. Learn the tools that we use to brainstorm, design, and develop a fun application that you can fully interact with. Bring a computer, some enthusiasm, and maybe that question you always wanted to ask a Voice Assistant. No prior coding experience required!

UPDATE: Here is a link to the slides - https://docs.google.com/presentation/d/1Eq8gXl1mwAXaC2ksOLWh9ZaOQYUAmL4GMXZDywskN-g/edit?usp=sharing

This workshop is available to in-person attendees in Austin only. It will not be viewable via the Online Conference. 

In this workshop, we will introduce open coding and clustering as a way to analyze qualitative research data, and participants will have the chance to practice using interview transcripts and open-ended survey responses. Participants will also have the opportunity to discuss issues and challenges in analyzing qualitative data.

Following this session, participants will be able to

1. Code qualitative research data (e.g. interviews) as part of a team.
2. Understand how individual perspectives affect interview coding.
3. Create affinity maps to explore research data and present easy-to-communicate summaries of complex research.
4. Cluster research data algorithmically.
5. Understand the relative advantages and disadvantages of algorithmic vs. manual clustering.

Please bring a laptop to this session as you will be working within Zoom with a remote instructor. 

This workshop is available to in-person attendees in Austin only. It will not be viewable via the Online Conference platform. 

https://yale.zoom.us/j/496782488

This workshop teaches the fundamentals of library metadata standards and practices from the perspective of designing user interfaces. We cover standard descriptive practices from cataloging and digital collections and how they are frequently implemented. Finally, we will explore strategies for testing the impact and effectiveness of metadata choices on user experience.

Following this session, participants will be able to: 

1. discuss the impact of metadata standards and practices on design and functionality.
2. identify strategies for isolating the effect of metadata from the effects of other design features.