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Derek L. Hansen is an Assistant Professor at Brigham Young University's Information Technology program in the School of Technology (http://it.et.byu.edu/). He was formerly at the University of Maryland’s iSchool where he Directed the Center for the Advanced Study of Communities and Information (http://casci.umd.edu) and was a member of the Human Computer Interaction Lab (http://www.cs.umd.edu/hcil/).
Dr. Hansen completed his PhD from the University of Michigan’s School of Information where he was an NSF-funded interdisciplinary STIET Fellow (http://stiet.si.umich.edu/) focused on understanding and designing effective online socio-technical systems. Prior to graduate school he worked as an analyst and independent consultant in the healthcare industry, where he recognized a great need for radical changes in the way information is managed and shared, as well as the social and economic challenges that impede such change.
His research focuses on mass collaboration, information reuse, games for change, consumer health informatics, and social network analysis and visualization. One line of research is focused on helping community analysts make sense of the mass of social data available through social media sites. He is currently working with the Social Media Research Foundation and others in the HCIL to develop NodeXL, a network analysis and visualization tool that runs in Microsoft Excel, along with training materials for social media analysts. Another line of research applies those methods to understand best practices for supporting mass collaboration in medical, scientific, and entertainment domains. Finally, Dr. Hansen is involved with designing novel tools and activities that take advantage of the unique properties of information technologies. These include "collection recommender systems," a novel "veiled viral marketing" technique that uses social networking applications (i.e., Facebook) to anonymously disseminate information about stigmatized illnesses through friendship networks, games like "Odd Leaf Out" that encourage citizen scientists to help make sense of images of plant species, and methods to predict the political tendencies of Twitter account Followers.
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crossref(2024)
MULTIMODAL TECHNOLOGIES AND INTERACTIONno. 2 (2024): 12
INTERNATIONAL JOURNAL OF HUMAN-COMPUTER INTERACTIONpp.1-20, (2023)
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Learning: Design, Engagement and DefinitionEducational Communications and Technology: Issues and Innovationspp.181-190, (2021)
human factors in computing systems (2021)
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Kira Gedris, Kayla Bowman,Aatish Neupane,Amanda Hughes,Elizabeth Bonsignore, Ryan West, Jon Balzotti,Derek L. Hansen
user-5d4bc4a8530c70a9b361c870(2020)
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