Kshanti received her Ph.D. in Computer Science from the University of New Mexico (UNM). She specializes in developing models that integrate and utilize intelligence derived from large groups of people. Her ambition is to provide tools to society that enable communities to self-organize to make decisions, form policy and solve the problems that face them.

Thomas is a science teacher at an area high school. His area of focus is helping students to become better problem solvers with hands-on design projects. He is primarily interested in harnessing data to identify practices that support success.

Joe is an Assistant Professor of Computer Science at UNM. He conducts research on high-quality, interactive visualization of extremely large 3D datasets from science and medicine. His current work emphasizes decision making in the visualization pipeline and techniques for assessing uncertainty in this process.

George is a Professor of Computer Science, Linguistics, and Psychology at UNM. He has written several books on Artificial Intelligence, including the text Artificial Intelligence: Structures and Strategies for Complex Problem-Solving. He conducts research on stochastic reasoning and modeling, epistemology and knowledge representation.

Melanie is an Assistant Professor of Computer Science at UNM. She studies how biological systems process information and how computational and engineered systems can be built using principles of distributed control from biology. She builds computational models of foraging ants and immune system cells to gain insights into how adaptive behaviors emerge in self-organized biological systems that lack centralized control.

Dr. Sanfilippo is a Chief Scientist in the Computational and Statistical Analytics Division at Pacific Northwest National Laboratory (PNNL). His research focus is on Computational Linguistics, Content Analysis, Knowledge Technologies and Predictive Analytics. He is currently leading a five-year grant from the National Institutes of Health (NIH) on pathway prediction in stroke pathobiology, a four-year NIH grant on modeling the impact of education policies on the scientific workforce, and is co-PI on a NSF project on Visual and Predictive Analytics Approach to Science and Innovation Policy. He previously led a Laboratory Initiative on Technosocial Predictive Analytics at PNNL.