Getting the information you need shouldn't mean making a choice between quantity and quality. Our data gathering tools are designed to help users gather input from a wide range of sources while ensuring that the end product is clear, consistent, and ready-to-use.
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.
EpiCaster provides near-real-time forecasts of epidemics, combining publicly available disease surveillance data with high-resolution synthetic populations and epidemic simulations.
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.
Easily integrating with popular online survey tools such as Amazon Mechanical Turk, this app helps to gather high-quality data on human behavior by ensuring respondents are presented with relevant questions.
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.
Fast, effective decision-making depends on clearly presented data. Our data visualization tools help cut through the clutter of complex systems, allowing analysts to quickly identify areas that merit special attention. Each of these tools comes equipped with a flexible interface, allowing users to drill down and display any information of interest at their desired level of detail.
To help public health officials identify populations that are particularly vulnerable to extreme weather, this award-winning web app integrates data on infrastructure and environment into one, easy-to-use interface.
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.
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.
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.
Decision-makers need to ensure that their first response to a crisis will be an effective one. Our simulation systems are designed to help them plan effectively for any what-if scenario, offering a “virtual laboratory” to test the efficiency of proposed policies.
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.
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.
ENISI is a comprehensive simulation system, designed to help analyze a full range of immune responses within the gastrointestinal tract. This platform has been used to identify new treatments for chronic autoimmune disorders including IBD and Crohn's disease.
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.
From social media to transportation infrastructure, public policy to private healthcare, the networks we rely on for everyday life are increasingly interconnected. Our tools simplify the analysis of these complex systems, offering decision-makers the ability to explain, predict, and visualize their behavior.
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.
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 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.
SysGenSIM is a bioinformatics toolbox for MATLAB to create artificial gene expression datasets by simulating Systems Genetics experiments.