In April, NY NOW used Epistemix simulations to show they could safely host their convention at the Javits Center in August.
In times of accelerating change, organizations must make crucial decisions under conditions of significant uncertainty. Using statistically accurate virtual populations, best-available data, and realistic social dynamics, our modeling platform informs specific choices and policy interventions—empowering leaders to make better decisions by simulating their implications.
Our clients include
See how businesses, event organizers, governments, and schools are using our models to navigate a safe path to recovery.
Venues & Large Events
Event producers, sport and exhibition authorities, and policymakers are struggling to establish ground rules for what it means to safely reopen stadiums and convention centers with lives and budgets hanging in the balance. For example, Epistemix is working with Freeman—the largest global event management firm—to provide the data to determine what size and combination of events are safe to host and when event capacities can increase in locations across the country.
School boards and superintendents regularly need to make difficult choices on which the lives and prospects of students, teachers, and communities depend. Epistemix provides data-driven decision-support so that you can rigorously compare your options, make informed decisions, maximize in-person learning, and secure your district’s future.
State & Local Governments
State governments are managing vaccine distribution, updating social distancing policies, and balancing economic reopening decisions. It is critical for these decision makers to know the levels of immunity across their state to make informed decisions about opening. We work directly with governor’s offices and critical agencies to evaluate specific policies and their impact on state and local populations, partnering with groups like Esri and the National Energy Technology Laboratory (NETL).
Management teams are trying to plan when and how to bring employees back to the office. We are working to provide clarity on how to assess risk, what contingencies need to be in place, what mitigation strategies matter most, and how to safely ramp up capacity as local vaccination levels increase.
In order to adjust staffing, manage evolving capacity requirements, and improve patient care, health systems need to carefully estimate hospitalizations, ICU needs, and other resources, understand impacts of various social distancing measures, and forecast changes in the COVID-19 epidemic in the communities they cover.
Researchers & Developers
Agent-based modeling can answer different questions than machine learning and other analytical approaches, but building agent-based models from scratch for every project is expensive and time-consuming. Our platform gives you powerful, modular, extensible tools so you can build and scale better agent-based models faster.
Find out how we can help your organization.