InForMID
Tufts Initiative for the Forecasting and Modeling of Infectious Diseases
Tufts Initiative for the Forecasting and Modeling of Infectious Diseases

Overview

The Tufts Initiative for the Forecasting and Modeling of Infectious Diseases (InForMID) was established to conduct research and provide a venue for training in the fields of epidemiology, biostatistics, and public health with an emphasis on modeling, data analytics and data-intensive applications. To visit our previous site documenting the initiation of InForMID, please visit https://informid.tufts.edu/ .

Mission and Vision
InForMID offers training opportunities and hands-on experience in research and practical applications for an audience with wide range of professional backgrounds. The goal of the InForMID is to improve the quality of bio-medical research and public health practice by developing innovative analytical and computational tools and systems for researchers, public health professionals, and policy makers.

Transdisciplinary Perspective
At InForMID we use advanced computational and analytical techniques that expand on information provided by traditional data visualization and analysis methods, and open doors for researchers working to better understand environmental phenomena and infectious disease outbreaks. To pursue this, we foster the transdisciplinary perspective by pursuing research strategies that cross multiple disciplines to create a holistic approach. We work with researchers with various expertise to merge concepts, models, and data from multiple disciplines to answer pressing public health questions and devise joint solutions.

Tufts Chapter of the American Statistical Association
The Tufts University Student Chapter of the American Statistical Association (Tufts-ASA) works to promote statistical research and practice across Tufts University. The specific aims are to: (1) facilitate connections between faculty and students interested in statistics and data science; (2) foster a sense of community among students from across the university; (3) and connect students with a larger community of statisticians serving in industry, government, and academia. Student research and skills training occur through this student club at the Friedman School of Nutrition Science and Policy.