DiscoveryLab members

Inna Smirnova

"In my research, I provide multiple pathways to explore how collaborative innovations unfold and how high-knowledge innovation teams can be influenced to become the most productive. In particular, I focus on helping organizations understand the effects of different organizational design levers on individual-level motivation and behavior that, in turn, shape macro-level team output and help to improve the direction of collaborative innovation. I use online innovation communities, including GitHub and Stack Overflow, and scientific teams as my research sites, and econometric analysis of archival data and experiments as my research methods."


James M. Zumel Dumlao

"I am a second-year PhD Student at the University of Michigan School of Information. Broadly, I use computational social science techniques to tackle questions that require interdisciplinary approaches. My research interests are in knowledge and cultural production, science of science, and science and technology public policy. More specifically, I'm interested in the cultural and cognitive factors that inspire the creation of new knowledge, as well as policies that promote novel and useful science."

Stacey Xiang

“I’m a 1st year PhD student at UMSI co-advised by Misha Teplitskiy and Daniel Romero. My research interests broadly encompass science of science, network science, and dynamical systems. I’m interested in studying the dynamics of knowledge production, especially as it relates to the disciplinary structure of academic science. In my free time, I enjoy drawing and biking around Ann Arbor.” 

Hong Chen

"I’m a first year PhD student at UMSI co-advised by Misha Teplitskiy and David Jurgens. I have a broad interest in computational social science. Particularly, my research interests are: (1) science of science, and social and information networks of scientific communities, (2) natural language processing, and developing text analysis methods to study social science questions. Recently I have been exploring publication strategies of scientists.