(l-r)Jiangzhuo Chen, Achla Marathe, Bryan Lewis, Dustin Machi, Andrew Warren, Stefan Hoops, Abhijin Adiga, Mandy Wilson, Stephen Eubank, Madhav Marathe, S.S. Ravi,Samarth Swarup, Srinivasan Venkatramanan, Parantapa Bhattacharya, Anil Vullikanti, Hannah Baek, Mark Orr, Chunhong Mao, Henning Mortveit, Dawen Xie, Erin Raymond, Christopher Kuhlman (not pictured: Allan Dickerman, Ron Kenyon, Brian Klahn, Jacob Porter, Rebecca Wattam)
Former Postdoc visits NSSAC
Great to see Andrea Apolloni, former postdoc and now a modeling researcher at ISRA Dakar, who presented on his current work in West Africa.
Enjoyed the opportunity to collaborate with UVA's iTHRIV.org. Thanks for visiting, Johanna Loomba!
Samarth Swarup talked about our cutting-edge simulation science at SpringSim 2019
Research Associate Professor Samarth Swarup talked about our cutting-edge simulation science at SpringSim 2019. Samarth was an invited participant at the Best Practices for Generating Artificial Societies roundtable.
NSSAC is pursuing an advanced research and development program for interaction-based modeling, simulation and associated analysis, experimental design, and decision support tools for understanding large biological, information, social, and technological (BIST) systems. Extremely detailed, multi-scale computer simulations allow formal and experimental investigation of these systems. The need for such simulations is derived from questions posed by scientists, policymakers, and planners involved with very large complex systems. Our team is comprised of a diverse group of researchers from various domains including computer science, cognitive science, mathematics, biology, health science, electrical engineering, and economics.
When will a social media protest transition to a civil crisis? What is the tipping point for rhetoric to become action? How do we design effective, massive health messaging campaigns to make the public’s health more robust? Effective analysis and understanding of such questions must do more than compile data; it should be driven by theoretical knowledge and first principles of what motivates human behavior. This implies multiple levels of scale that coincide with key disciplines of human behavior—the cognitive, behavioral and social sciences—each of which offer unique insights into understanding and prediction. Our sophisticated computational simulations are designed to account for such theoretical first principles, allowing us to provide decision-makers with robust predictions of the influence of policies and the specifics of their implementation on human conduct.
Networks are ubiquitous in our modern vocabulary. From social media to transportation and resource distribution networks, they are the fabric of the interdependent infrastructures we rely on to navigate the complexities of our daily lives. Our work streamlines network analysis, offering effective tools to assist policymakers as they grapple with the most pressing issues: How does a city recover from a natural disaster? How does climate change impact society? How can we best fight infectious disease outbreaks? The versatile tools we have developed interpret, forecast, and explain the dynamics of massively interacting systems.
Revolutions in medical technology that promise patient-centered, personalized medicine are producing an unfathomable amount of data. New techniques that identify previously unknown organisms in our environment, and even in our bodies, are expanding our knowledge of the complexities of ecosystems and living organisms. As the data grows exponentially, our user-friendly tools help research scientists, healthcare professionals, and policymakers distill this information down to manageable and actionable relationships.
In any public health crisis, timely knowledge is power. Our transdisciplinary team leverages predictive modeling tools to inform and support public health policymakers as they identify and deploy essential response measures. Our distinguished record of success is visible in the support we provided key government agencies as they tackled H1N1 in the United States and cholera in Haiti, and in the data and analysis we are provided to help contain the Ebola outbreak in western Africa.
Join Our Team
Please see our UVA job listings for opportunities with the Biocomplexity Institute and Initiative. Use query term "biocomplexity".
Proceedings of the 36th International Conference on Machine Learning, PMLR 97. (2019) A. Adiga, C. Kuhlman, M. Marathe, S.S. Ravi, A. Vullikanti
Proceedings of the 18th International Conference On Autonomous Agents And Multiagent Systems, 1635-43. (2019) P. Bhattacharya, S. Ekanayake, C. Kuhlman, C. Lebiere, D. Morrison, S. Swarup, M. Wilson, M. Orr
BMC Medical Informatics And Decision Making, 19(1):28. (2019) J. Cadena, D. Falcone, A. Marathe, A. Vullikanti
Indiana University Technical Report. (2019) G. Fox, J. Glazier, J. Kadupitiya, V. Jadhao, M. Kim, J. Qiu, J. Sluka, E. Somogyi, M. Marathe, A. Adiga, J. Chen
IEEE Transactions On Computer-Aided Design Of Integrated Circuits And Systems. (2019) P. Joshi, S.S. Ravi, Q. Liu, U. Bordoloi, S. Samii, S. Shukla, H. Zeng
Bulletin Of Mathematical Biology, 81(5):1442-1460. (2019) H. Mortveit, R. Pederson
Modeling Biomolecular Site Dynamics, 1945:119-139. (2019) A. Palmisano, S. Hoops, L. Watson, T. Jones, J. Tyson, C. Shaffer
eLIFE, 8:E43570. (2019) Y. Qi, Y. Wu, R. Saunders, Xg. Chen, C. Mao, J. Biedler, Z. Tu
BMC Infectious Diseases, 19(1):221. (2019) M. Singh, P. Sarkhel, G. Kang, A. Marathe, K. Boyle, P. Murray-Tuite, K. Abbas, S. Swarup
Crop Protection. (2019) S. Venkatramanan, S. Wu, B. Shi, A. Marathe, M. Marathe, S. Eubank, Lp. Sah, A. Giri, L. Colavito, K. Nitin, V. Sridhar
Annals of the American Association of Geographers, 109(3):875-886. (2019) C. Wu, B. Zaitchik, S. Swarup, J. Gohlke