Wide-Field Ethnography: Studying Collaboration in the Wild
Collaboration is increasingly important for the deep, rapid, and interdisciplinary learning and innovation needed to address highly complex “wicked” problems, such as global challenges. To deeply understand collaboration, we need to be able to analyze the highly-contextual resources (speech, gestures, inscriptions, body orientation, …) that people make available to others as they collaborate. Gathering and analyzing such multi-modal data is surprisingly difficult, impeding our ability to learn about and improve our ability to collaborate and build tools and processes to enhance collaboration.
Goal: Create and evolve a set of principles, practices, and tools to help researchers gather, store, organize, analyze, and share these datasets.
Requirements:
- Self-motivated, responsible, strong team player,
- Good communication skills,
- Technical skills (one or more): Solid Python programming skills, and a strong interest in analyzing data (transcribing, annotating, coding, etc.
- Develop and maintain high-quality open-source research software.
- Produce high-quality analysis data, and attend weekly research meetings.
Time Commitment: Commit to the project for two quarters
Schools or Related Disciplines:
Science, Technology, Engineering and Math (STEM)
STEM – Computing and Software Systems (CSS)
Category: Research and Creative Projects
Time: estimated hours per week is 1hr – 3hrs
Credit/Compensation Notes: This is a volunteer or unpaid position
Contact: David Socha, Ph.D., socha@uw.edu
Go to project or opportunity website for more information