Learn more about the MIDAS network


MIDAS is a global network of scientists and practitioners from academia, industry, government, and non-governmental agencies, who develop and use computational, statistical and mathematical models to improve the understanding of infectious disease dynamics as it relates to pathogenesis, transmission, effective control strategies, and forecasting. MIDAS supports open science practices by encouraging members to collaborate by sharing information, datasets, models, workflows, and research insights to improve global preparedness for, and response against infectious disease threats.

The MIDAS network aims to advance science to improve global preparedness and response against infectious disease threats through research, training, promotion, and service. See the MIDAS mission statement for details.
MIDAS network membership is open to any infectious disease scientist, practitioner, or student who supports the mission and vision of the network. The MIDAS network is defined by broad inclusivity and diversity of its members, fostering collaboration to advance the science and application of infectious disease modeling. To join MIDAS, complete the member application form. The advantages of membership of the MIDAS network include access to:
  1. A collaborative, multidisciplinary, environment of infectious disease modeling experts;

  2. Groups of modelers and/or practitioners focused on specific areas of interest that span across individual modeling projects;

  3. Shared resources among network members, including datasets, models, software, and workflows;

  4. Services provided by the MIDAS network Coordination Center (MCC), including data services, high-performance cloud computing, training, and outreach;

  5. Research promotion including visibility of research profiles, publications, projects, and media attention through the MIDAS website and (social) media outreach by the MCC;

  6. The annual MIDAS meeting, training and outreach activities;

  7. Other opportunities including the coordination of collaborations between scientists and public health agencies, to translate model results into public health impact, and to bring relevant public health questions to modelers;

Current MIDAS steering committee members are listed below.

MIDAS steering committee members not pictured:

Micaela Martinez, Assistant Professor, Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University

Lara Magravite, President, SAGE Bionetworks

Yue Song, Doctoral Student, Department of Biostatistics, T.H. Chan School of Public Health, Harvard University

MIDAS creates educational, training, mentoring and career development opportunities in computational, statistical and mathematical modeling. The MIDAS network is dedicated to train a broad community of scientists and practitioners including those from underrepresented groups and low-resource settings. Many MIDAS members are involved in training activities, listed on the MIDAS Training page.

MIDAS members have access to High-performance computing (HPC) services provided by the MIDAS Coordination Center. The MCC has partnered with NIH Science and Technology Research Infrastructure for Discovery, Experimentation, and Sustainability (STRIDES) Initiative and Google Cloud Platform to provide discounted computing services to MIDAS. Centralized cloud-based HPC services enable a cost-effective, pay-as-you-go solution to MIDAS computing needs, with efficient centralization of the administrative functions. The MCC will provide a tailored HPC solution for each MIDAS member after assessing their HPC needs. When MIDAS HPC needs exceed the MCC budget, the MCC will work with members, funding agencies, and HPC providers to find acceptable solutions. To request HPC services, please submit a brief proposal here.

The MIDAS network is coordinated by the MIDAS Network Coordination Center (MCC). The MCC aims to improve the scientific and societal impact of research, training, promotion, and services conducted by MIDAS members. The MCC supports MIDAS in five specific areas, by:
  1. Organizing the annual MIDAS network meeting;
  2. Organizing outreach and training activities;
  3. Providing data services, including metadata design and creation, data standardization, and a data discovery and access portal;
  4. Providing cloud-based High-Performance Computing (HPC) services; and
  5. Coordinating communication between researchers, students, and public health practitioners.

More information about MCC services