The dependency network renders the full Shallow Technology Dependency Network (STDN) for a single technology as a concentric-ring graph. Each node belongs to one of four layers: • Technology (center): the end product being analyzed • Component (inner ring): primary manufacturing subassemblies (e.g., Display Module, Battery) • Material (middle ring): raw materials or processed inputs required by each component • Country (outer ring): nations that produce each material.

This dashboard is a decision-support tool that utilizes large-scale data and epidemiological modeling to quantify the impact of changes in mobility on infection rates. Our model captures the spread of COVID-19 by using a fine-grained, dynamic mobility network that encodes the hourly movements of people from neighborhoods to individual places, with over 3 billion hourly edges.

The Virginia Medical Resource Demand Dashboard is a visualization tool that couples epidemic simulations produced with hospital resource counts to project when different Virginia Hospital Preparedness Program (VA HPP) regions (also called Virginia Hospital Alerting & Status System (VHASS) regions) might hit the crisis stage due to the COVID-19 pandemic.

National-scale epidemic simulation tool using local and long-distance mobility data to model spread across county-level patches.

Framework for developing high-performance agent-based epidemic simulators using a domain-specific modeling language.

Open-source, high-performance engine for network-based simulation of infectious disease spread over large synthetic populations.

Software for simulation and analysis of biochemical networks and their dynamics.

Interactive library for simulating mathematical epidemiology models, including parameter variation, time-course simulation, and stability analysis.

C program that generates Boltzmann-distributed RNA sequences at specified Hamming distances from a reference sequence.

C program that generates thermodynamically stable RNA sequences compatible with two input secondary structures.

Python package for computing weighted simplicial homology of weighted simplicial complexes.