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IDEaS Conferences

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PRedicting Emergence Of Virulent Entities By Novel Technologies (PREVENT) Symposium - Closing Remarks

2021-02-23 , May, Elebeoba

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PRedicting Emergence Of Virulent Entities By Novel Technologies (PREVENT) Symposium - Session 2, Molecular Level Theme

2021-02-22 , Turner, Paul , Riedel, Marc , Van Valen, David

Paul Turner - Plenary Talk TITLE: "Predicting Evolution of Virus Emergence". Pathogen emergence occurs in many ways, but an overarching goal is to generally predict which pathogens are poised to emerge in the future. From an evolutionary-process perspective, this problem can be addressed by studying four interrelated topics that dictate success (or not) of pathogen emergence: evolvability, adaptability, constraint, and extinction. This talk emphasizes the power of experimental evolution to elucidate rules of pathogen emergence, especially in rapidly-evolving viruses. Also, the talk stresses why molecular biology and genomics can reveal crucial mechanistic details of experimental evolution, and why bridges to disciplines such as data/computer science and the participation of a diverse workforce are vital for studying emergence.

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The Potential of Machine Learning for Improved Diagnostics and Treatment

2019-06-12 , McDonald, John F.

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Convergence of Deep Learning and High Performance Computing: A Paradigm Shift for Multi-Messenger Astrophysics

2019-06-11 , Huerta Escudero, Eliu Antonio

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PRedicting Emergence Of Virulent Entities By Novel Technologies (PREVENT) Symposium - Session 3, Population Level Theme

2021-02-23 , Grenfell, Bryan , Yu, Bin , Peccia, Jordan

Bryan Grenfell - Plenary Talk TITLE: "What Cross-Scale Research Can Tell Us About Predicting, Understanding And Mitigating Future Pandemics?" We briefly review the epidemic and evolutionary dynamics of directly-transmitted infections and their transition from pandemics to endemicity. We discuss how cross-scale dynamics, from protein to pandemic, determine key issues in understanding, predicting and mitigating outbreaks, then build on this to discuss future cross-scale research and public health priorities.

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PRedicting Emergence Of Virulent Entities By Novel Technologies (PREVENT) Symposium - Opening Remarks, Welcome Statement, and Technical Background

2021-02-22 , Panchanathan, Sethuraman , Basu, Mitra , Prakash, B. Aditya , Yin, John , Torrens, Paul M. , Wigginton, Krista R.

In the last year, the ongoing COVID-19 pandemic has severely disrupted the livelihoods of our planet’s human inhabitants, infecting over 85 million individuals, and causing nearly 2 million deaths. What actions should have been taken to minimize the severity of this pandemic (and others before it in the past decades such as Zika, SARS and Ebola)? In retrospect, many actions could have played key roles: environmental monitoring for potential animal-to-human infection spillovers, establishment of pipelines for rapid vaccine development and optimal deployment and distribution, designing data science tools to accurately forecast trajectories, fast and adaptive syndromic surveillance and behavior tracking, designing and timing effective interventions, training susceptible individuals for measures needed to inhibit the spread of infectious agents, and others. What lessons have been learned and what gaps in our knowledge, methodologies, technologies, and policies remain?

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Tools and Methods for Machine Learning

2019-06-12 , Thomson, Ross

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PRedicting Emergence Of Virulent Entities By Novel Technologies (PREVENT) Symposium - Session 4, Physiological and Environmental Level Theme

2021-02-23 , Kirschner, Denise , Kumar, Vipin , Colwell, Rita

Denise Kirschner - Plenary Talk TITLE: "A Multi-Scale Systems Biology Approach Toward Tuberculosis Infection Interventions".

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PRedicting Emergence Of Virulent Entities By Novel Technologies (PREVENT) Symposium - Session 1, End-to-End Theme

2021-02-22 , Marathe, Madhav , Peters, Debra , Ke, Ruian

Madhav Marathe - Plenary Talk TITLE: "Real-time End-to-End Pandemic Planning, Prediction and Response". The COVID-19 pandemic has brought forth the need for a sustainable capability for pandemic planning, response, and mitigation at various geographic, temporal and social scales. The social, economic, and health impact of the pandemic has been immense and will continue to be felt for decades to come. Since February 2020, our group has been providing local, state, and federal authorities continuous modeling and analytics support as they work assiduously to contain the pandemic. Based on this experience, I will describe the scientific and engineering challenges and opportunities in developing an end-to-end program to better prepare and respond to future pandemics and epidemic outbreaks.

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Machine Learning and Event Detection for Population Health

2019-06-12 , Neill, Daniel B.

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