Daniela Retelny is a doctoral student at Stanford University in the Department of Management Science and Engineering where she conducts research at the Center for Work, Technology and Organization and the Stanford HCI Group. Her research focuses on how individuals in globally distributed organizations use information, social networking and communication technologies to collaborate and share knowledge. Daniela graduated with honors from Cornell University where she studied Information Science. In the past, Daniela interned at IBM and SONY BMG. In her free time, Daniela volunteers as a mentor for BUILD, a national non-profit focused on improving college access and youth entrepreneurship. She also works as Product Manager at Wellcoin (a health technology startup) and enjoys playing tennis, traveling and trying out the latest gadgets.
This research introduces expert crowds as core components of crowdsourcing systems. Where traditional microtasking struggles with complex goals that require expertise, crowds of experts can succeed. Expert crowds, however, fail to structure their work effectively. To overcome these challenges, we present flash teams: modular, self-contained and replicable computational workflows for expert crowdsourcing. To support the creation of flash teams, we are developing Foundry, an interactive environment for authoring team structures and live monitoring of team progress. So far, we have demonstrated that flash teams can crowdsource complex tasks such as movie animations, lesson planning, and the entire user-centered design process, in less than one day. Replicating and combining these modular teams can yield substantial projects, such as an entire on-demand online class platform with content, in twenty hours.
The objective of this research project is to understand the opportunities and challenges of deploying a knowledge sharing system around the globe, particularly with regard to the way people in different countries are using it in different, potentially incompatible ways. Ultimately, this research will advance our understanding of the possibilities and problems associated with the deployment of collaboration technology for global use and shed light on how to better support global knowledge sharing and collaboration across teams and countries. Open questions, for example, include 1) in what ways do people in different cultural contexts use knowledge sharing systems similarly and differently, 2) what are the underlying reasons for these differences, and 3) when these systems are used differently, what is the impact on global collaboration? This research is supported by a grant from National Science Foundation.
Daniela Retelny, Sébastien Robaszkiewicz, Alexandra To, Walter Lasecki, Jay Patel, Negar Rahmati, Tulsee Doshi, Melissa Valentine, Michael Bernstein. Expert Crowdsourcing with Flash Teams. To be presented at UIST 2014. Honolulu, HI.
Daniela Retelny, Sébastien Robaszkiewicz & Michael Bernstein. Flash Startups: Crowdsourcing with Dynamic Teams of Experts. Human-Computer Interaction Consortium. Asilomar, CA. June 2013.
Jeremy Birnholtz, Jeffrey Hancock, Daniela Retelny. Tweeting for Class: Co-Construction as a Means for Engaging Students in Lectures. CHI 2013. Paris, France.
Eric P.S Baumer, Sherri Katz, Jill Freeman, Phil Adams, Amy Gonzales, J.P Pollak, Daniela Retelny, Geri Gay. Prescriptive Persuasion and Open-Ended Social Awareness: Expanding the Design Space of Mobile Health. CSCW 2012. Seattle, Washington. [Nominated for Best Paper Award]