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What is Systems Science
Systems science is a modeling approach that embraces the dynamic interaction of engineered, human-behavioral, and natural components in time and space. It considers the system as a sum of its parts, where a change in any one part has system-wide ramifications.
Our research is focused on the areas of Energy, Health, and Transportation, and is upheld by our modeling toolkit. Inspired by optimization — the math of decisions – the toolkit integrates computation, data, and physical science, along with their context in human society, in order to support system function and make our lives safer. Theoretical advancement of network analysis, data science, and computational modeling surround our central pillar of resilience to make certain that we stay grounded to our goal as engineers – ensuring that society can optimally recover from any threat.
Using the toolkit, we work across many temporal and spatial scales: from understanding how to effectively and immediately deliver care to the next patient, to protecting against threats of climate change by optimizing energy infrastructure.
In addition to engineering faculty, CSSE utilizes the expertise of researchers from the schools of Medicine, Public Health, Nursing, Arts and Sciences, Business, and Education at Johns Hopkins as well as members of JHU’s Applied Physics Laboratory and the Center for Governance Excellence. We have a host of collaborations beyond JHU with core partners at the MICA Center for Social Design, DIW Berlin, and R-CITI in Australia.
What is a systems approach
A systems approach is essential in order to understand the global energy landscape.
As civilization moves into an era dominated by climate change, it is vital to be able to effectively model dynamic energy markets. CSSE researchers work to better understand the governing mechanics and vulnerabilities of existing energy systems, and work to model emerging markets as they are effected by new technology and policy objectives.