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HELP SUPPORT PATHBREAKING RESEARCH
The LRC is funded entirely by the generous support of our grant-makers and donors who value high-risk, high-impact scientific research. Since we don't own large buildings or have the need for a large administrative staff, almost all the money goes directly towards supporting research and scientists.
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Did you know?
Our Charity Navigator Score is 100/100!
(Current as of: November 2021)
Please note: Charity Navigator does not score our impact as we do not provide direct community services and do not rely heavily on individual donors for funding.
Global Viral (doing business as or DBA: The Laboratory for Research in Complex Systems) is an independent 501(c)3 non-profit scientific research institute that focuses on using rigorous quantitative methods to solve challenging and long-standing problems in the sciences and human health.
Since our start in 2007 as Global Viral Forecasting initiative, our trailblazing team of scientists and researchers have been committed to highly innovative and disruptive research in ecology, biodiversity and public health. Pioneers in the area of infectious disease research, our work led to the establishment of diagnostic labs and rapid response capacity in many countries, the collection and testing of more than 150 000 human and animal samples, and the discovery of several novel viruses. More than two decades later, these forward-thinking efforts and those of our partners have helped pave the way for greater preparedness and understanding of many of the challenges we face today with COVID-19 and similar unseen potential threats.
Now as LRC Systems, we have broadened our emphasis, and in keeping with our core principles, we now seek to go beyond problems of the present and ask how can we best prepare for challenges of the future? Through providing strategic and advanced interdisciplinary research in areas related to the sciences, society, human health and climate change, our mission is to bring about scientific progress and overall societal well-being. We believe that many natural and artificial systems -- biological, ecological and and even financial -- that are driven by complex interactions can be better understood by mapping relationships between their components. From transposing the lessons learned from one system's strides toward resilience to another, we can solve long-standing problems and create more adaptive and resilient systems of the future.