Known as the Foresight Initiative, the cooperative agreement venture will explore how the effects of climate change on resources, such as water, food, and energy, could contribute to political unrest and instability and gain insights to sustainability and resilience strategies for mitigating the effects.
Nadya Bliss is the principal investigator for the Foresight Initiative. Bliss is assistant vice president for research strategy with ASU’s Office of Knowledge Enterprise Development, and a professor of practice in the computer science and engineering program in the School of Computing, Informatics, and Decisions Systems Engineering, one of ASU’s Ira A. Fulton Schools of Engineering.
Seven other Fulton Schools of Engineering faculty members are part of the Foresight Intiative team: professor Paul Westerhoff (School of Sustainable Engineering and the Built Environment); professor Gail-Joon Ahn, professor Huan Liu, associate professor Hasan Davulcu and assistant professor Ross Maciejewski (School of Computing, Informatics, and Decision Systems Engineering); associate professor Daniel Bliss (School of Electrical, Computer and Energy Engineering); and professor Nancy Cooke (program chair, Cognitive Science and Engineering).
This initiative will play a key role in collaborative research efforts to accelerate the evolution of Activity-Based Intelligence addressing system level activities, dynamics, and interdependent network effects in the context of global climate risks to water security. This multi-year research partnership leverages ASU expertise and thought leadership in visual analytics, complex modeling, and transdisciplinary decision making evolving from years of internal and external investments at ASU.
“NGA’s investment and partnership with ASU is a game-changing relationship,” said Michael Crow, ASU president. “This innovative research initiative will develop solutions and be a catalyst for the critical and creative thinking needed to address the complex challenges that come with climate change.”
Leveraging computing and system modeling initiatives at ASU and partner organizations, the Foresight Initiative will apply ubiquitous cloud computing and storage technologies, advances in natural user interfaces, and machine learning to address unique geospatial data handling and visual analytic challenges driven by the volume and character of future persistent data flows. The resulting capabilities will allow analysts and decision makers to dynamically interact with diverse data sets in a real-time modeling and simulation environment. This will help them assess the effectiveness of plans, policies, and decisions; discover second- and third-order causal relationships; and understand spatial and temporal patterns that reveal non-obvious underlying interconnections and dependencies.
“This is a tremendous partnership and opportunity for a real, tangible impact in addressing strategic security and humanitarian needs,” Bliss, said. “It is also pioneering how the academic and government research communities can leverage each other’s strengths to seek solutions to these global-scale issues while advancing fundamental transdisciplinary research. ASU is the perfect place for this initiative because of the culture of use-inspired research and exceptional quality faculty working across traditional disciplinary boundaries.”
“I am very proud to announce our partnership with ASU, a world class research university,” said NGA Director, Letitia Long. “Our partnership is a prime example of the intelligence community working smartly with academia to address strategic global issues and to create capabilities that benefit everyone.”
Other key areas at ASU that will be integral to this work include the Julie Ann Wrigley Global Institute of Sustainability, the College of Liberal Arts and Sciences, College of Public Programs, Decision Theater Network and Decision Center for a Desert City.
For example, ASU’s Decision Theater provides advanced modeling and simulation that allows diverse groups of stakeholders to visualize large amounts of data, policy parameters, and environmental uncertainties on panoramic HD displays. Scientists, analysts, and decision makers can easily interact in real-time to tweak the rules and data sets to account for new insights and deeper understanding of relationships, providing a range of outcomes based on the changes. This allows for more effective decision making among people from different backgrounds.
Amelia Huggins, email@example.com
Office of Knowledge Enterprise Development
Joe Kullman, joe.Kullman@asu.edu
Ira A. Fulton Schools of Engineering