San Francisco, California
London, United Kingdom
Design Thinking for Data: Integrating User Experience and Data Science
Part 1: Groundwork & Part 2: Outcomes
NOTE: These classes are made to be taken jointly (through the "All in" pass) but we have opened a few individual tickets for each class.
Behind any data display, there’s a chain of decisions that led to what you see. The depth and quality of those considerations can make all the difference for the usefulness and value of the end product. Thinking about the design of interfaces and visualizations for data intensive applications shouldn’t be an afterthought.
Design Thinking has many definitions, but the core is taking a human-centered approach to problem-solving and innovation. The process extends beyond visual design and integrates a wide array of considerations and methods into the final product. It requires a holistic, systems-oriented sensibility. Applying design thinking to data means drawing from a range of ideas in perception, behavior, reasoning, question formation, decision-making, technology, and ethics - to name a few. This class will present a few examples of how, when it comes to design and data, there’s a lot more than meets the eye.
This hands-on course will touch on a range of issues that go into working with data and how things can go right - or wrong - at every stage.
Either first class
Or experience working with data projects (bring something you want to show and discuss)
More of a workshop-style class
Presenting, critiquing and analyzing data interfaces
Section 1: The Interplay of Presentation and Interpretation
In this section, we will look at examples of cognitive biases and how design can help to prevent or reinforce errors in data analysis and interpretation.
Section 2: Class Exercise
The final section will include small group design exercises and presentations of selected homework done by attendees who take both classes.
Format: These classes can be taken individually or for attendees who what a more full experience,
This class is intended for anyone interested in exploring the design process for data-intensive applications or analysis. This is an introductory course and there are no prerequisites. The class will include a presentation of concepts with examples and a small group exercise at the end.
Lead Instructor: Hunter Whitney, UX Design Consultant and Author
Hunter Whitney is a consultant, author, and instructor who brings a user experience (UX) design perspective to data visualization. He has advised corporations, start-ups, government agencies, and NGOs to achieve their goals through a strategic design approach to digital products and services. His experience includes leading the designs of data analysis interfaces for uses ranging from biomedical research to cyber security.
Hunter is the author of "Data Insights: New Ways to Visualize and Make Sense of Data” and contributed a chapter in “Designing for Emerging Technologies: UX for Genomics, Robotics, and the Internet of Things.”
John Munro, Data Scientist and Software Developer
When & Where
PARISOMA is a space where ideas meet execution. We cultivate an experimental environment through COWORKING, EDUCATION, and EVENTS.