Jiangying Zhou
DARPA Program Manager

Click the image for my bio. 
Hello <<First Name>>,
I'm Jiangying Zhou, the DARPA Program Manager heading the Modeling and Prediction of Complex Dynamical Events Incubator (23).

Many prediction tools exist, but they are unable to provide useful information at the onset of a dynamic event when little or no historical data is available. Think of our difficulty predicting the COVID-19 spread in this country early on. Can we do better?

My work focuses on machine learning, artificial intelligence, data analytics, and intelligence, surveillance and reconnaissance (ISR) exploitation technologies.
At DARPA, I manage the CAML, REVEAL, AIRA, and NAC programs.   
My intent for the Modeling and Prediction of Complex Dynamical Events Incubator (23) is to encourage the community to explore analytic techniques that can make accurate predictions of rapidly developing complex and non-stationary dynamical events.

I would like to encourage the community to look at prediction modeling from a fundamentally new perspective. I am interested in tools that can make predictions over a short time-scale, without relying on comprehensive data repositories.
Please join me on Polyplexus to better define this very broad problem. A breakthrough in predicting dynamical events has the potential to fundamentally improve decision making tools across the DoD.
Monday, I'm hosting a live Ask Me Anything Session.
Here's what you need to know: 

Date and Time: Monday, June 22, 2020, 10:30a.m. - 12:30p.m. ET
Topic: Modeling and Prediction of Complex Dynamical Events Incubator (23)
Participation: Sign in on and go to the Discussion Tab of the Modeling and Prediction of Complex Dynamical Events Incubator (23)
Reminder: you must be signed in to access the Discussion Tab of the Incubator. 
Any questions or comments? Simply reply to this email. 
I look forward to answering your questions. 

Click here to plex
Polyplexus, an R&D propulsion lab, is a global platform designed to accelerate access to scientific evidence, hypothesis development, research proposal generation and sponsor engagement. Developed for scientific researchers and research sponsors, the platform creates a database of easily accessible cited evidence, and disrupts the current research process to facilitate faster idea generation and cross-disciplinary collaboration. An open, public platform, Polyplexus is currently in Alpha with founding sponsor DARPA. 
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