School of Engineering

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  • Hatim A. Rahman

    Hatim A. Rahman

    Ph.D. Student in Management Science and Engineering, admitted Autumn 2013

    BioHatim A. Rahman is a Ph.D. student in the Department of Management Science & Engineering at Stanford University.

    RESEARCH AREA: Work, Technology, and Organization
    DISSERTATION TITLE: Understanding Social Dynamics in the Digital Economy: An Inductive Analysis of Relationships in an Online Labor Market

    Hatim Rahman's dissertation explores the nature of work in the emerging digital economy. In contrast to research that emphasizes the importance of algorithmic matching and technical fit, his research theorizes work in online labor markets as collaborative, relational, and imperfectly defined in nature. He integrates a digital ethnography of an online labor market with a computational textual analysis of users’ discussion on community boards to demonstrate the social dynamics by which reputation systems have become inflated, the process market actors take to build relational contracts, and the different ways in which each actor uses features of the market to exert power. His dissertation has implications for the literature on technology affordances, power and resource dependence, external labor markets, relational contracting, market and platform design, and the emerging nature of work in the digital economy.

  • Yoichi Shiga

    Yoichi Shiga

    Ph.D. Student in Civil and Environmental Engineering, admitted Autumn 2011

    BioYoichi Shiga received his bachelor's degree in Aerospace Engineering from the University of California, San Diego and master's in Environmental Engineering from the University of Michigan. He is currently a PhD candidate in Environmental Engineering at Stanford University where his research explores complex environmental systems through the use and development of data driven statistical methods.

    His research focuses on improving the current understanding of both the natural and anthropogenic components of the carbon cycle using inverse modeling approaches to provide an atmospheric data constraint on CO2 fluxes.

    Yoichi is also an active member in the Stanford student chapter of the American Society for Engineering Education (ASEE).

  • Tanja Aitamurto

    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

  • Heather Altman

    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.

  • Kristen M. Altenburger

    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.