Kate Pride Brown is an environmental and political sociologist whose research focuses on a range of issues, including environmental activism in Russia and conservation policy in the United States. She received her doctorate from Vanderbilt University and completed a postdoctoral fellowship at the Vanderbilt Institute for Energy and Environment. Her book, Saving the Sacred Sea: The Power of Civil Society in an Age of Authoritarianism and Globalization (Oxford University Press, 2018), examines the conflict between local and transnational environmentalists, multinational corporations, and the Russian government over the future of Lake Baikal, the largest, deepest and oldest freshwater lake on Earth. While she continues to study environmental issues in Russia, especially around Lake Baikal, Dr. Brown has also published research on water and energy politics and policy in the United States. She is currently studying the "nuclear renaissance" in the southeastern United States. Among other honors, she has received a Fulbright Fellowship, a Critical Language Scholarship from the U.S. Department of State, and funding from the Horowitz Foundation for Social Policy and the National Council for Eurasian and East European Research. Her research has appeared in Communist and Post-Communist Studies, Energy Research and Social Science, Environmental Politics, Environmental Sociology, Ethnography, Memory Studies, Nature and Culture, Research in Political Sociology, Social Movement Studies, Sustainability: Science, Practice and Policy, Water Policy and WIREs Water.

Dr. Ameet Pinto is an Environmental Engineer and Carlton S. Wilder Associate Professor in Civil and Environmental Engineering at Georgia Institute of Technology (Georgia Tech). Ameet is a Chemical Engineer from the Institute of Chemical Technology (University of Mumbai) with post-graduate degrees in Environmental Engineering from the University of Alaska (2005) and Virginia Tech, USA (2009). Before joining Georgia Tech in 2021, he was an Assistant Professor at Northeastern University (2016-2021) and Lecturer/Senior Lecturer (2012-2015) at the University of Glasgow. Ameet’s research focuses on microbial ecosystems at the interface of infrastructure and public/environmental health with a focus on the engineered water cycle. The overall research goal is to characterize and manipulate microbial communities to (1) protect and improve public and environmental health and (2) improve functional reliability and economic feasibility of water infrastructure. To do this, his research group develops and applies state-of-the-art microbial molecular and sensing tools and modelling approaches to monitor and manage the microbiology of the engineered water cycle. Ameet also serves as the Editor for Water Research (the premier journal for the engineering, science, and technology for water quality management) and as the Secretary of the Microbial Ecology and Water Engineering (MEWE) Specialist Group of the International Water Association.

Dr. Haesun Park is a Regents' Professor and Chair in the School of Computational Science and Engineering, Georgia Institute of Technology, Atlanta, Georgia, U.S.A. She was elected as a SIAM Fellow in 2013 and IEEE Fellow in 2016 for her outstanding contributions in numerical computing, data analysis, and visual analytics. She was the Executive Director of Center for Data Analytics 2013-2015 and was the director of the NSF/DHS FODAVA-Lead (Foundations of Data and Visual Analytics) Center 2008-2014. She has published extensively in the areas of numerical computing, large-scale data analysis, visual analytics, text mining, and parallel computing. She was the conference co-chair for SIAM International Conference on Data Mining in 2008 and 2009 and an editorial board member of the leading journals in computational science and engineering such as IEEE Transactions on Pattern Analysis and Machine Intelligence, SIAM Journal on Matrix Analysis and Applications, and SIAM Journal on Scientific Computing. She was the plenary keynote speaker at major international conferences including SIAM Conference on Applied Linear Algebra in 1997 and 2015, and SIAM International Conference on Data Mining in 2011. Before joining Georgia Tech, she was a professor in Department of Computer Science and Engineering, University of Minnesota, Twin Cities 1987- 2005 and a program director in the Computing and Communication Foundations Division at the National Science Foundation, Arlington, VA, U.S.A., 2003 - 2005. She received a Ph.D. and an M.S. in Computer Science from Cornell University, Ithaca, NY in 1987 and 1985, respectively, and a B.S. in Mathematics from Seoul National University, Seoul, Korea in 1981 with the Presidential Medal for the top graduate.

Dori Pap is the Managing Director of the Institute for Leadership and Social Impact (formerly the Institute for Leadership and Entrepreneurship). She directs the Leadership for Social Good Study Abroad Program in Central and Eastern Europe, coordinates the Impact Speaker Series, runs the annual Ideas to Serve student social innovation competition, and teaches courses on social entrepreneurship. 

Outside Tech, Dori serves on the board of Global Growers Network, a nonprofit organization that connects the agricultural talent of the refugee community in and around Atlanta to opportunities in sustainable agriculture. She is a board member for the Center for Civic Innovation, an organization that works at the frontline of civics education and advocacy, and she serves on the board of the Georgia Social Impact Collaborative. Dori is a triple Yellow Jacket and is currently pursuing her doctorate degree at the Institute for Higher Education at UGA.

Alex Oettl joined Scheller in 2009.  His research interests include the economics of innovation, knowledge spillovers, labor mobility, and economic geography.  His current work focuses on the production and diffusion of ideas at the individual, firm, and regional level.

Professor Oettl's research has been published in Management Science, Organization Science, Nature, Journal of Financial Economics, Review of Economics and Statistics, Proceedings of the National Academy of Sciences (PNAS), Journal of Urban Economics, Research Policy, Journal of International Business Studies, profiled in multiple media outlets, and presented at business schools around the world. He is a Research Associate at the National Bureau of Economic Research and a recipient of the Kauffman Junior Faculty Fellowship in Entrepreneurship Research.

Meaghan McSorley is a Ph.D. student in the School of City and Regional Planning at Georgia Tech and a research assistant in the Healthy Places Lab with Dr. Nisha Botchwey, and the Smart Sea Level Sensors (SSLS) project based in Savannah, GA. She is also a Georgia Tech Institute Fellow. Her research focuses on the “people side” of sustainability, and the question of how to plan for healthy, equitable, and thriving cities for all. Specifically, she is interested in the role of culture, history, and emotions in helping to develop just approaches to climate change issues that center on the margins and create space for imagining thriving futures. Prior to returning to graduate school, she also worked at an electronic medical records software company for four years in a variety of implementation and management roles. She holds degrees in urban & regional planning (MURP) and public health (MPH), both from the University of Minnesota; and in anthropology and French (BA) from Cornell University.

Advisor: Nisha Botchwey

Jenny became an Assistant Professor at Georgia Tech in August 2017. She uses both modern and paleontological specimens to identify how populations, species, and communities have responded to past climate change. Her goal is to identify strategies to conserve as much biodiversity as possible given rapidly shifting climates. She received her PhD from the Dept. of Integrative Biology at UC-Berkeley, and did postdoctoral research at the National Evolutionary Synthesis Center and at the University of Washington.

Daniel Matisoff teaches and conducts research in the areas of public policy, energy policy, and corporate sustainability. His research focuses on the effectiveness and efficiency of comparative approaches to addressing environmental problems and the adoption and diffusion of energy technologies and policies. He currently is a fellow with the Brook Byers Institute for Sustainability, and is affiliated with the Strategic Energy Institute and Center for Urban Innovation. He has participated in over $4 million of sponsored research through the National Science Foundation, the European Union Center for Excellence, the German Academic Exchange Service, the Georgia Department of Transportation, and the National Electric Energy Testing Research and Applications Center. His recent research has resulted in publications in the Review of Environmental Economics and Policy, Environmental and Resource Economics, Energy Economics, Environmental Science and Technology, Energy Policy, and Business Strategy and the Environment, among other outlets. His current research interests include: evaluating the effectiveness of voluntary eco-labeling programs; the effectiveness of incentives for solar electricity; the adoption of smart grid technologies and policies; and the impact of large scale solar adoption on consumer rates and bills.

Dr. Jian Luo completed his undergraduate and M.S. studies at Tsinghua University, Beijing, where he received a B.Sc.(Eng.) and a M.S. degree in Environmental Engineering in 1998 and 2000, respectively. He completed his Ph.D. in 2006 in Department of Civil and Environmental Engineering at Stanford University, California. The research Dr. Luo is conducting involves field, theoretical, and computational investigations of flow and reactive transport in subsurface; development and application of geostatistical methods for the spatial and temporal analysis of hydrogeologic and biochemistry data; development of computational algorithms and programs to simulate subsurface flow and reactive transport, and to assess the associated uncertainty; inverse modeling to estimate flow and transport parameters under uncertainty; and use of such computational methods and models to assess subsurface contamination, and to aid the optimal design of groundwater remediation operations.