Overview


Simulation Science and Analytics

Policy promises to make our society safer, fairer, more efficient. But policy can only be as strong as the data that inform it. Unfortunately, vital information is often scattered across several disconnected systems, presenting a major obstacle to leaders looking to take a “big picture” approach to social issues. Our research bridges the gap between decision-makers and data, allowing societal systems to leverage an ever-expanding range of actionable information.

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Tools

  • EpiCaster

    EpiCaster provides near-real-time forecasts of epidemics, combining publicly available disease surveillance data with high-resolution synthetic populations and epidemic simulations.

  • SIBEL

    SIBEL allows researchers to model the effects of epidemics on a realistic synthetic population. This app supports effective public health decision-making by delivering sophisticated simulation capabilities directly into the hands of analysts.

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analytics charts and graphs

Global Synthetic Information Systems

Synthetic information is a powerful form of data integration that allows us to simulate systems as simple as a cell or as complex as a city. Leveraging a rich library of population data, our synthetic information system is now global in scale. With a “virtual laboratory” that extends across the entire planet, our analyses can guide real-time responses to emerging crises or simulate “what-if” scenarios to support long-term policy planning.

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Tools

  • Synthetic Information Viewer

    Synthetic Information Viewer (SIV) is a synthetic population visualization tool that allows users to explore demographic information at various levels of resolution - from a global library of over 800 million people down to a refined set of individuals.

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global network

Network Science

From social media to transportation infrastructure, public policy to individualized healthcare, the networks we rely on for everyday life are increasingly interconnected. With so many moving pieces to consider, it can be difficult to identify the source of a system-wide crisis and find the most effective solution. Our research simplifies network analysis, offering flexible tools to explain, predict, and visualize the behavior of massively interacting systems.

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Tools

  • EDISON

    EDISON uses big data and data mining techniques to analyze how various social dynamics impact the behavior of large networks. These factors can range from disease epidemics to drug use to the emergence of political protests.

  • Granite

    Granite is a supplementary tool in the CINET suite, designed to help users in academia and industry gain an in-depth understanding of complex networks. Its user-friendly interface helps simplify many of the computationally intense tasks inherent in network science.

  • GDS Calculator

    GDSCalc is a supplementary tool in the CINET suite, designed to help researchers study how various "contagions" spread through social networks, including fads, rumors, influence, disease, and political unrest.

  • Virus Tracker

    Virus Tracker is an educational program that simulates the spread of a virus, demonstrating the critical role of vaccinations in combating disease outbreaks. Designed to show how disease spreads, players can "infect" others with the “Zombie Virus" or score big points by vaccinating other players.

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Public Health

In the face of a public health crisis, knowledge is power. Our predictive modeling tools allow policy-makers to quickly identify effective response strategies and distribute their findings across the public sector. NDSSL technology has a proven track record, providing decision support to key government agencies through a number of recent epidemics: H1N1 in the US, cholera in Haiti and Ebola in western Africa.

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Tools

  • EpiCaster

    EpiCaster provides near-real-time forecasts of epidemics, combining publicly available disease surveillance data with high-resolution synthetic populations and epidemic simulations.

  • EpiViewer

    EpiViewer is a data repository for epidemiologists, allowing users to upload, share, and compare disease forecasts from a variety of sources and observe how they change over time.

  • SIBEL

    SIBEL allows researchers to model the effects of epidemics on a realistic synthetic population. This app supports effective public health decision-making by delivering sophisticated simulation capabilities directly into the hands of analysts.

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Systems Biology

The wealth of biological data circulating among medical providers, government agencies, and communications networks could transform how we promote health in our communities. Our team develops a range of user-friendly tools to help researchers make the most of this information: from a comprehensive database of drug-resistant pathogens to a simulated immune system that allows scientists to identify new treatments for chronic diseases.

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Tools

  • PATRIC

    PATRIC is an information system designed to support the biomedical research community’s work on bacterial infectious diseases. This resource combines detailed information on bacterial genomes with a full suite of analysis tools.

  • COPASI

    COPASI allows researchers to model the dynamics of any biochemical network, providing a "virtual laboratory" to test new hypotheses or reproduce the results of real-life experiments. 

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Infrastructure, Security, and Resilience

By 2050, an estimated 70 percent of the world’s population will live in cities. Our lab is helping policy-makers keep pace with the rapid rate of urbanization, developing simulation systems that can identify ways to make massive infrastructure networks safer, more sustainable, and resilient to environmental stress. NDSSL researchers partner directly with government agencies to solve pressing challenges in telecommunications, transportation and energy systems.

energy infrastructure

Social and Behavioral Modeling

When does civil unrest lead to public protest? Why does incarceration spread through our communities like an epidemic? To answer questions like these, simulation science needs to do more than crunch numbers. Our team develops computational models that can account for complex social phenomena, giving decision-makers a sophisticated toolset to predict how policy will influence human behavior.

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Tools

  • My4Sight

    My4Sight uses crowdsourced data and human computation to enhance disease forecasting. Users can evaluate data provided by other disease experts, seamleslly integrating their feedback into future forecasting methods.

  • Dynamic Behavior Visualizer

    This tool allows analysts to observe probable patterns of public behavior during a natural or man-made disaster. DBV provides insight into how critical infrastructures can support populations throughout a period of crisis.

  • EDISON

    EDISON uses big data and data mining techniques to analyze how various social dynamics impact the behavior of large networks. These factors can range from disease epidemics to drug use to the emergence of political protests.

  • Eyes on the Ground

    This application allows individuals across the globe to quickly and easily report adverse road conditions in their area. These data can be used to help policymakers identify the most efficient routes for delivering supplies and personnel during an emergency.

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