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+A discrete event disaster recovery simulation, currently focused on housing, built on top of the [Simpy](https://simpy.readthedocs.io/en/latest/) discrete event simulation Python library.
+
+**Funding Support for DESaster**
+National Science Foundation, Infrastructure, Infrastructure Management and Extreme Events Program, "Modeling Post-Disaster Housing Recovery Integrating Performance Based Engineering and Urban Simulation"
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+# Alerting and Detection Framework
+
+## ADS Framework
+Prior to the development and adoption of the ADS framework, we faced major challenges with development of alerting strategies. There was a lack of rigor around the creation, development, and implementation of an 
+alert, which led to sub-optimal alerts going to production without documentation or peer-review. Over time, some of the alerts gained a reputation of being low-quality, which led to fatigue, alerting apathy,
+or additional engineering time and resources.
+
+To combat the issues and deficiencies previously noted, we developed an ADS framework which is used for all alerting development. This is a natural language template which helps frame hypothesis generation, testing
+and management of new ADS.
+
+The ADS Framework has the following sections, each which must be completed prior to production implementation:
+
+* Goal
+* Categorization
+* Strategy Abstract
+* Technical Context
+* Blind Spots and Assumptions
+* False Positives
+* Validation
+* Priority
+* Response
+
+Each section is required to successfully deploy a new ADS, and guarantees that any given alert will have sufficient documentation, will be validated for durability, and reviewed prior to production deployment.
+
+Each production or alert is based on the ADS framework is stored in a durable, version-controlled, and centralized location.