Jim Jansen

Dr. Jansen is a Principal Scientist in the social computing group of the Qatar Computing Research Institute, and a professor with the College of Science and Engineering, Hamad bin Khalifa University, and an adjunct professor with the College of Information Sciences and Technology at The Pennsylvania State University. He is a graduate of West Point and has a Ph.D. in computer science from Texas A&M University, along with master degrees from Texas A&M (computer science) and Troy State (international relations). Dr. Jim Jansen served in the U.S. Army as an Infantry enlisted soldier and communication commissioned officer.

Data-Driven Persona Book: 3 Appendices for Making Personas Actionable

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We are putting the finished touches on our book, Data-Driven Personas by Bernard J. Jansen, Joni O. Salminen, Soon-Gyo Jung, and Kathleen Guan, Hamad Bin Khalifa University (HBKU) and University College London. Morgan & Claypool Publishers. The book is comprised of 12 chapters (10 content chapters, plus an introduction and conclusion chapter) divided into 6 […]

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Chapters for Data-Driven Personas, a Morgan-Claypool Publication

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We are putting the finished touches on our book, Data-Driven Personas by Bernard J. Jansen, Joni O. Salminen, Soon-Gyo Jung, and Kathleen Guan, Hamad Bin Khalifa University (HBKU) and University College London. Morgan & Claypool Publishers. The book is comprised of 12 chapters (10 content chapters, plus an introduction and conclusion chapter) divided into 6

Chapters for Data-Driven Personas, a Morgan-Claypool Publication Read More »

Making Meaningful User Segments from Datasets Using Product Dissemination and Product Impact

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As paper-based personas move to interactive persona analytics systems, online companies face large user populations, making segmentation a daunting exercise, along with creating actionable data-driven personas from these large datasets. In this research, we demonstrate an approach that facilitates user segmentation. The approach leverages product dissemination and product impact metrics with normalized Shannon entropy. 

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