Ladan Doroud is a PhD candidate at the University of California, Davis. She received her master's degree in computer science from the same university in 2013. She is currently working on her PhD in computer science in Prof. Eisen's lab as a computational biologist and data scientist. Her research interests mainly lie in the area of large-scale network analysis, clustering and data mining with special focus on community detection, and function prediction of protein sequences in large-scale biological networks.
She has an extensive background in learner-centered education, including her collaboration with Udacity, Inc. in 2014 as a course manager on the data science track, as well as her collaboration with the California State Summer School for Mathematics and Science (COSMOS) in 2011. She can be reached at <[email protected]>.
Miro Marchi is a PhD candidate at the University of Verona, Italy. He received his master's degree in cultural anthropology, ethnology, and ethnolinguistics from Ca' Foscari University of Venice in 2010.
He has authored Self-Governance Lessons from Bali and Stephen Lansing, Cangiani M. (ed.), Alternative Approaches to Development, Cleup, 2012, where he has reviewed the research of the interdisciplinary team coordinated by the anthropologist, Stephen J. Lansing, on farmers' cooperation network for rice cultivation in Bali.
His current research focuses on finding practical ways to foster the emergence of self-organization in social-economic networks. He is applying ethnographic methods coupled with community-based online network visualization, which is built with Drupal and D3 and available at www.retebuonvivere.org/rete, and he is interested in the use of complexity theory for sustainability and the commons. He can be reached at <[email protected]>.
David Edward Polley is a social sciences librarian at Indiana University-Purdue University Indianapolis (IUPUI). Prior to joining IUPUI, he worked as a researcher at the Cyberinfrastructure for Network Science Center in the Indiana University School of Informatics and Computing, Bloomington. He is interested in the various ways people use data, generated in social science research. He is the coauthor of a book on data visualization with Dr. Katy Börner titled, Visual Insights: A Practical Guide to Making Sense of Data.
Mollie Taylor is the President of Proximity Viz LLC, located in Atlanta, Georgia, USA, which provides data visualization and mapping services to a wide range of clients. She holds degrees in economics and international affairs from the Georgia Institute of Technology. Her blog on programming for data analysis can be found at http://blog.mollietaylor.com/.
George G. Vega Yon is currently a PhD student at the California Institute of Technology. He holds a BA degree in business administration and an MA degree in economics and public policy from Adolfo Ibáñez School of Government (Chile).
He is the author of several R and Stata modules, including ABCoptim: Implementation of Artificial Bee Colony (ABC) Optimization, rgexf: an R package to work with GEXF graph files, and Introducing PARALLEL: Stata module for parallel computing. He has shown a deep interest in statistical computing and data visualization; furthermore, he is the founder of the Chilean R-Users Group (useR).
He is the cofounder of the entrepreneurship, NodosChile.org Social Network Analysis, one of the first companies in Chile to put the eye on applied SNA analysis. George's scholarly interests are focused on policy analysis, complexity and statistical computing—recognized by the community, as he has served as a reviewer of the Journal of Computational Economics.