The Machine Intelligence Group for the betterment of Health and the Environment (MIGHTE), now based at the Network Science Institute, at Northeastern University and the Center for Communicable Disease Dynamics at the Harvard T.H. Chan School of Public Health (from 2017 to 2022, our research lab, the Machine Intelligence Lab, was based at Boston Children’s Hospital) has a multidisciplinary research agenda. Our research involves the conception and implementation of machine intelligence analytics tools, capable of predicting unobserved events in epidemiology and healthcare in the immediate or near future. Our work ranges from tracking disease outbreaks around the Globe, leveraging information from big data sets from Internet-based services (such as Google search activity, Twitter microblogs, Weather, Human Mobility, Electronic Health Records), to bed-side patient-centered monitoring approaches aimed at improving care in clinical settings. We also focus on the use of mathematical approaches to discover relationships between relevant outcomes in the health, physical and environmental sciences. For example we have studied the influence of climate change on the prevalence of antibiotic resistant infections, or the role of socio-economic factors and political leaning and mortality during the COVID-19 pandemic.
Generally speaking, our approaches use machine learning techniques to identify patterns that have occurred historically that may be predictive of specific and future events of interest, for example:
Professor Santillana has joined the Steering Committee of the MIDAS Network 2024. Models of Infectious Disease Agent Study (MIDAS) is a global network comprising scientists and practitioners who develop and employ computational, statistical, and mathematical models to enhance the understanding of infectious disease dynamics.
Professors Santillana and Vespignani (Northeastern University) joined the Center for Forecasting and Outbreak Analytics "Insight Net" inaugural event in Washington, D.C., from November 6th to 8th. Led by the Centers for Disease Control and Prevention (CDC) and through partnerships and collaboration.
Are you passionate about infectious disease modeling/forecasting? Do you want to make a difference in the field of public health? Our team is hiring two postdoctoral fellows to join our dynamic team: https://mighte.org For more information, please send an email to: Gemma Llano <email@example.com> or submit your application here
Nicole Kogan was recently accepted to the ETH/EPFL Digital Epidemiology Summer School in Grindelwald, Switzerland on September 25-29, 2023. Organized by Marcel Salathé (Digital Epidemiology Lab at EPFL).