Data-Driven Dynamic Models for Exploring Systemic Risk with Unknown Inputs 7a.014.UVA


Project Start Date: Aug 1, 2018
Research Areas: Analytics, Analytics - Machine Learning
Funding: Member Funded
Project Tags: ,

Project Summary

This research project will develop a general methodology that will take data streams (time series of data) and/or simulation models (agent-based or other) and create state-based, dynamic macro models, and perform analysis of the created models to explore critical issues. These include:  i) what ranges of parameter values would cause the model to become unstable, ii) what is the likelihood of certain critical states occurring and at what recurrence, iii) can we create controls to manage the dynamic system, etc.  Such a formal dynamic model would allow for organizations, such as regulators, to explore the impacts of policy changes and modifications to existing polices. This research would also have broader applications in other data-driven systems, such as the internet, telecommunications, healthcare, and the intelligence community.

PERSONNEL

Principal Investigator(s)

Student(s)