Computing Mentorship in a Software Boomtown: Relationships to Adolescent Interest and Beliefs Andrew J. Ko The Information School University of Washington

Source URL: faculty.washington.edu

Promises and Pitfalls of Mobile Money in Afghanistan: Evidence from a Randomized Control Trial Joshua E. Blumenstock∗ University of Washington Information School Seattle, WA

Source URL: scholar.harvard.edu

Web User Interaction Mining from Touch-Enabled Mobile Devices Jeff Huang Information School University of Washington

Source URL: jeffhuang.com

Curriculum Vitae | Davis Katie Davis Curriculum Vitae The Information School University of Washington

Source URL: katiedavisresearch.com

Practical Statistics for Human-Computer Interaction: An Independent Study Combining Statistics Theory and Tool Know-How Jacob O. Wobbrock The Information School | DUB Group University of Washington

Source URL: faculty.washington.edu

Jevin D. West Assistant Professor Information School University of Washington Box, Seattle, WA, 98195

Source URL: www.jevinwest.org

Using Crowdsourcing in the Design of Context-Sensitive Help for Web Applications Parmit K. Chilana, Andrew J. Ko, and Jacob O. Wobbrock The Information School | DUB Group University of Washington Seattle, WAUSA

Source URL: crowdresearch.org

THEORY AND REVIEW A TEMPORALLY SITUATED SELF-AGENCY THEORY OF INFORMATION TECHNOLOGY REINVENTION Saggi Nevo School of Business, University at Albany, 1400 Washington Avenue,

Source URL: www.misq.org

• Humancomputer interaction
• Academia
• Knowledge
• Systems thinking
• Information technology
• Wanda Orlikowski
• Structuration theory
• Sensemaking
• Usability
• Adaptation
• Computer user satisfaction

Task Dependency and the Organization of the Crowd David W. McDonald University of Washington The Information School ABSTRACT

Source URL: crowdresearch.org

• Humancomputer interaction
• Crowdsourcing
• Social information processing
• Human communication
• Information science
• Interpersonal communication
• Human-centered computing
• Computing
• Social translucence
• Crowdsourcing creative work

Predicting Response to Political Blog Posts with Topic Models Tae Yano William W. Cohen Noah A. Smith School of Computer Science Carnegie Mellon University Pittsburgh, PA 15213, USA {taey,wcohen,nasmith}@cs.cmu.edu

Source URL: homes.cs.washington.edu

• Statistical natural language processing
• Digital media
• Computing
• World Wide Web
• New media
• Web 2.0
• Blog hosting services
• Topic model
• Social information processing
• Latent Dirichlet allocation
• Blog
• Social media