Julia through the lens of Policy Analysis: Applications

07/26/2023, 8:30 PM — 9:00 PM UTC
32-123

Abstract:

Standard use cases for Julia appeal to the scientific community writ large. In contrast, Julia has not been widely adopted the public policy community. This talk is meant to demonstrate how Julia is useful for public policy through several use cases. These use cases are: Misinformation and Adversarial Machine Learning in decision critical systems

Description:

The first use case will be centered around agent based modeling to understand misinformation spread and mitigations. The second use case will be focused on the practicality of adversarial attacks in machine learning systems, specifically from the financial, biology and health domains, which is meant to inform public policy and drive mitigations.

Platinum sponsors

JuliaHub

Gold sponsors

ASML

Silver sponsors

Pumas AIQuEra Computing Inc.Relational AIJeffrey Sarnoff

Bronze sponsors

Jolin.ioBeacon BiosignalsMIT CSAILBoeing

Academic partners

NAWA

Local partners

Postmates

Fiscal Sponsor

NumFOCUS