School of Engineering
Showing 1-10 of 286 Results
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Tanja Aitamurto
Postdoctoral Research Fellow, Management Science and Engineering
BioI am a social scientist influenced heavily by engineering sciences. My work examines civic technologies for informing, empowering, and connecting people. The empirical contexts range from virtual, mixed, and augmented reality to large-scale online collaboration systems, such as applications of collective intelligence in open and participatory journalism, deliberation and policy-making, civic crowdfunding, and applications of artificial intelligence for civic use. I develop interdisciplinary theoretical frameworks by drawing on social psychology, democratic theory, computer science, and information systems. My work has been recognized with a number of awards and published in top journals, such as New Media & Society, Design Issues, Information, Communication & Society and International Journal of Communication.
I am a postdoctoral scholar in the Department of Management Science & Engineering at Stanford, where I work in the Crowdsourced Democracy Team. I received my PhD in social sciences at the School of Communication, Media and Theatre at the University of Tampere in Finland in 2014. Previously I worked as a postdoctoral Brown Fellow and as Deputy Director of the Brown Institute for Media Innovation at Stanford. During my doctoral studies, I studied as a visiting student researcher at Stanford and at UC Berkeley
In my dissertation “Collective Intelligence in Open Journalism: Power, Knowledge and Value”, I introduced a theory of open journalism. My dissertation received the Gene Burd Outstanding Dissertation in Journalism Studies Award from the International Communication Association (ICA). Drawing from several empirical cases, I showed how the building blocks of collective intelligence—a large number of participants and cognitive, demographic, and socioeconomic diversity within the crowd—both support and challenge journalistic norms, practices, and values through open journalism.
My studies often have unique in-the-wild experiments, in which I collaborate with media organizations and local and national governments. I have designed and developed several online platforms and processes for crowdsourced journalism and policymaking and advised local and national governments in participatory policymaking projects. Currently I'm working with the city of Palo Alto on a crowdsourced urban planning strategy process.
More about my work at www.tanjaaitamurto.com -
Kristen M. Altenburger
Ph.D. Student in Management Science and Engineering, admitted Autumn 2015
BioI am a third year PhD candidate in the Management Science & Engineering Department at Stanford University and am a member of the Social Algorithms Lab. My research interests include social network analysis, machine learning, and causal inference.
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Heather Altman
Ph.D. Student in Management Science and Engineering, admitted Autumn 2015
BioHeather is interested in team dynamics in global work environments, in particular how teams coordinate and collaborate to promote creativity and innovation. Her current research project investigates the work factors and team dynamics that influence innovation across cultures. Heather holds a B.A. with honors in Psychology from Stanford University.
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Dr Kathleen Carrie Armel
Social Science Research Scholar, Management Science and Engineering
BioDr. Carrie Armel is a research associate at Stanford’s Precourt Energy Efficiency Center (PEEC) where she investigates the diverse ways in which an understanding of human behavior can lead to improvements in energy efficiency. For example, the application of behavioral principles can produce significant energy reductions through interventions implemented at the policy, technology, built environment, media/marketing, and organizational/community levels. Dr. Armel co-chairs the Behavior, Energy, and Climate Change Conference; oversees Precourt Institute’s Behavior and Energy Bibliographic Database and Website; and teaches courses on behavior and energy at Stanford.
In addition to these initiatives, Dr. Armel develops specific energy efficiency interventions that apply behavioral and design principles, and develops measures to evaluate the efficacy of such interventions. Her most recent project involves a collaboration between academic and non-academic organizations to design and evaluate a technology that takes advantage of smart meters to provide feedback to residents on home electricity use.
Dr. Armel completed a Ph.D. in Cognitive Neuroscience from the University of California at San Diego, and postdoctoral work in Neuro-Economics at Stanford. In these programs she employed behavioral, psychophysiological, and neuroscientific methods to investigate how affect and motivation influence behavior. She most recently completed postdoctoral work at Stanford’s School of Medicine, translating intervention techniques used in health promotion work into the domain of energy efficiency. -
Imanol Arrieta Ibarra
Ph.D. Student in Management Science and Engineering, admitted Autumn 2014
BioImanol Arrieta Ibarra is a Ph.D. student in the Department of Management Science & Engineering at Stanford University.
Research Area: Computational Social Science
Dissertation Title: Personalized experimental designs in social systems -
Itai Ashlagi
Assistant Professor of Management Science and Engineering
BioItai Ashlagi is an Assistant Professor at the Management Science & Engineering Department.
He is interested in game theory and the design and analysis of marketplaces. He is especially interested in matching markets, for which he developed mechanisms using tools from operations/cs and economics. His work influenced the practice of Kidney exchange, for which he has become a Franz Edelman Laureate. Ashlagi received his PhD in operations research from the Technion-Israel Institute of Technology.
Before coming to Stanford he was an assistant professor of Operations Management at Sloan, MIT and prior to that a postdoctoral researcher at HBS. He is the recipient of the outstanding paper award in the ACM conference of Electronic Commerce 2009. His research is supported by the NSF including an NSF-CAREER award.
