hubs: # NOTE: to add a new organization: # 1. copy and paste this example # 2. replace the example: key with a slug for your organization # 3. update the values below example: logo: /includes/img/example-logo.png name: “Example Organization” description: | A description of the organization, which can include mission and funding. hubs: # a list of hubs that require a name, description, contact, and license # — REQUIRED — - name: “Name of Hub” description: | A description that can span multiple lines # from admin.json contact: - name: “hub-info-person” email: “hub-info@example.com” license: “License Name (e.g MIT License)” # — OPTIONAL —- repo: “example-org/hub-name” # must be slug, not URL aws: “aws-bucket-name” # from your admin.json insights: https://example.org/hub-insights/ # usually used instead of forecasts for scenario and variant hubs forecasts: https://example.org/hub-insights/forecasts.html evals: https://example.org/hub-insights/evals.html count: 5 # number of models submitted (this is automatically updated if your hub is public) # archived_dirs: glob patterns (one * per segment) for directories whose # rows should be counted alongside the standard model-output / target-data. # archived_dirs: # - “Previous_Rounds//model-output” # - ”Previous_Rounds//target-data” hubverse: logo: /brand/logo/logo-with-text.png name: “The hubverse” description: | The hubverse is a collection of open-source software and data tools that enable collaborative modeling exercises. It is developed by the Consortium of Infectious Disease Modeling Hubs, a collaboration of research teams and public health professionals that have built and maintained predictive modeling hubs for infectious disease applications. Working together, we have developed the hubverse for groups running collaborative modeling hub efforts. hubs: - name: “Archival COVID-19 Forecast Hub (2020-2024)” description: “Original submissions to the COVID-19 Forecast Hub, reformatted to align with the hubverse format.” contact: - name: “Nick Reich” email: “nick@umass.edu” license: “MIT License” repo: “hubverse-org/covid19-forecast-hub-archive” count: 127 - name: “Archival FluSight hub (2015-2019)” description: “Original submission to FluSight, reformatted to align with the hubverse format.” contact: - name: “Luke Mullany” email: “Luke.Mullany@jhuapl.edu” license: “MIT License” repo: “hubverse-org/flusight_hub_archive” aws: “uscdc-flusight-hub-v1” count: 99 reichlab-modeldev: logo: /includes/img/reichlab.png name: “Reich Lab” description: | The Reich Lab at the University of Massachusetts Amherst develops statistical methods and analytical tools to help people make sense of data, including methods for infectious disease forecasting and building open-source tools and hubs for collaborative modeling. hubs: - name: “Variant Nowcast Model Development Retrospective Hub” description: “Hub hosting retrospective model development for the UMass teams’s submission to the U.S. SARS-CoV-2 Variant Nowcast Hub.” contact: - name: “Nick Reich” email: “nick@umass.edu” license: “MIT License” repo: “reichlab/variant-nowcast-model-dev-retro” count: 13 - name: “Flusion Retrospective Hub” description: “Hub hosting model outputs generated in retrospective analyses for the UMass-flusion model submitted to FluSight.” contact: - name: “Nick Reich” email: “nick@umass.edu” license: “MIT License” repo: “reichlab/flusion/tree/main/retrospective-hub” count: 9 - name: “Flusion Submissions Hub” description: “Hub hosting model outputs generated in real time for weekly model submissions for the UMass-flusion model submitted to FluSight.” contact: - name: “Nick Reich” email: “nick@umass.edu” license: “MIT License” repo: “reichlab/flusion/tree/main/submissions-hub” count: 8 - name: “Forecast Sandbox” description: “Hub serving as a sandbox/testbed for experimental FluSight forecasts before and during the 2025/2026 respiratory virus forecasting season.” contact: - name: “Nick Reich” email: “nick@umass.edu” license: “MIT License” repo: “reichlab/forecast-sandbox-2025-2026” count: 25 - name: “MetroCast Sandbox” description: “Hub serving as a sandbox/testbed for experimental Flu MetroCast forecasts before and during the 2025/2026 respiratory virus forecasting season.” contact: - name: “Nick Reich” email: “nick@umass.edu” license: “MIT License” repo: “reichlab/metrocast-sandbox-2025-2026” count: 7 reichlab-training: logo: /includes/img/reichlab.png name: “Reich Lab” description: | The Reich Lab at the University of Massachusetts Amherst develops statistical methods and analytical tools to help people make sense of data, including methods for infectious disease forecasting and building open-source tools and hubs for collaborative modeling. These training hubs are designed to provide a sandbox environment for students and researchers to learn about infectious disease modeling and forecasting. hubs: - name: “SISMID ILI Forecasting Sandbox” description: “Sandbox hub providing an environment for training, research, or benchmarking purposes. This hub was created for the 2025 SISMID course on Nowcasting and Forecasting Infectious Disease Dynamics (https://nfidd.github.io/sismid).” contact: - name: “Nick Reich” email: “nick@umass.edu” license: “MIT License” repo: “reichlab/sismid-ili-forecasting-sandbox” count: 20 epiengage: logo: /includes/img/epiengage.png name: “epiENGAGE” description: | epiENGAGE is a CDC Insight Net center, led by teams at UT-Austin and UMass-Amherst, that develops forecasting and analytic tools to support public health decision-making. hubs: - name: “Variant Nowcast Hub” description: | A repository to store COVID-19 variant nowcasts collected as a modeling hub. contact: - name: Nick Reich email: nick@umass.edu license: MIT License repo: reichlab/variant-nowcast-hub aws: “covid-variant-nowcast-hub” insights: https://reichlab.io/variant-nowcast-hub-dashboard/explore.html evals: https://reichlab.io/variant-nowcast-hub-dashboard/eval.html count: 11 - name: “Flu MetroCast Hub” description: “The Flu MetroCast Hub is a modeling hub with the goal ofcity- and county-level forecasts of influenza. The hub is led by the epiENGAGE team from UT-AustinUMass-Amherst, as a part of the CDC Insight Net program.” contact: - name: “epiENGAGE Flu MetroCast Team” email: epiengage@austin.utexas.edu license: MIT License repo: reichlab/flu-metrocast aws: reichlab-flu-metrocast-hub forecasts: https://reichlab.io/metrocast-dashboard/forecast.html evals: https://reichlab.io/metrocast-dashboard/eval.html count: 16 ai4casting: logo: /includes/img/ai4casting.png name: “AI4Casting (U of Guelph)” description: | AI4Casting, based at the University of Guelph, applies artificial intelligence and machine learning to forecast respiratory disease burden and hospital capacity. hubs: - name: “Hospitalization Forecast Hub” description: | Public Health Ontario’s Ontario Respiratory Virus Tool Data monitors the capacity of hospitals, helping policymakers and health professionals gauge the burden of disease on the healthcare system. It tracks real-time bed utilization, enabling effective planning for resource allocation, particularly during times of heightened disease outbreaks. contact: - name: Siddhesh Suresh Kadam email: skadam@uoguelph.ca license: MIT License repo: ai4castinghub/hospitalization-forecast forecasts: https://4castinghub.uoguelph.ca/hospitalization/ count: 12 - name: “RVDSS Forecast Hub” description: | RVDSS is a national surveillance system that collects and reports data on the detection of respiratory viruses, including RSV (Respiratory Syncytial Virus), SARS-CoV-2 (COVID-19), and Influenza. Through laboratory-confirmed positive tests, the system helps track the spread of these viruses, offering essential data to support public health measures, pandemic preparedness, and disease control. contact: - name: Siddhesh Suresh Kadam email: skadam@uoguelph.ca license: MIT License repo: ai4castinghub/rvdss-forecast forecasts: https://4castinghub.uoguelph.ca/respiratory-virus-detections/ count: 15 smhct: logo: /includes/img/smh_logo.png name: “Scenario Modeling Hub Coordination Team” description: | The Scenario Modeling Hub Coordination Team coordinates multi-model scenario projections for infectious diseases, including COVID-19, influenza, and RSV to inform public health planning and decision-making. hubs: - name: “COVID-19 Scenario Modeling Hub” description: “The COVID-19 Scenario Modeling Hub aims to examine the impact changes in behavior and control, new variants, and vaccination a 3-month to 2-year time period, depending on the round. ” contact: - name: Scenario Modeling Hub Coordination Team email: scenariohub@midasnetwork.us license: MIT License repo: midas-network/covid19-scenario-modeling-hub insights: https://covid19scenariomodelinghub.org/ count: 14 - name: “Flu Scenario Modeling Hub” description: “The Flu Scenario Modeling Hub aims to anticipate the impact of in vaccination coverage and effectiveness, prior population , and dominant subtypes over the course of each influenza . ” contact: - name: Scenario Modeling Hub Coordination Team email: scenariohub@midasnetwork.us license: MIT License repo: midas-network/flu-scenario-modeling-hub insights: https://fluscenariomodelinghub.org count: 16 - name: “RSV Scenario Modeling Hub” description: “The RSV Scenario Modeling Hub aims to project the impacts of new vaccines monoclonal antibodies over the course of each RSV season. ” contact: - name: Scenario Modeling Hub Coordination Team email: scenariohub@midasnetwork.us license: MIT License repo: midas-network/rsv-scenario-modeling-hub insights: https://rsvscenariomodelinghub.org count: 18 - name: “COVID-19 Scenario Modeling Hub - Research” description: “The COVID-19 Research Scenario Modeling Hub intended to encourage modeling to specific COVID-19 research questions. Specific focus areas in the pipeline revisiting whether we could have projected the heterogeneities observed early stages of the pandemic and whether better modeling may have been to inform action to reduce these heterogeneities. Additional research topics follow. ” contact: - name: Scenario Modeling Hub Coordination Team email: scenariohub@midasnetwork.us license: MIT License repo: midas-network/covid19-smh-research count: 7 uscdc: logo: /includes/img/cdc.jpg name: “US Centers for Disease Control and Prevention” description: | The US Centers for Disease Control and Prevention is the national public health agency of the United States, coordinating collaborative forecasting efforts for influenza, COVID-19, RSV, and other respiratory diseases. hubs: - name: “FluSight Forecast Hub” description: | This project collects forecasts for weekly new hospitalizations due to confirmed influenza. contact: - name: FluSight Forecast Hub email: flusight@cdc.gov license: “MIT License” repo: cdcepi/FluSight-forecast-hub aws: cdcepi-flusight-forecast-hub forecasts: https://reichlab.io/flusight-dashboard/forecast.html evals: https://reichlab.io/flusight-dashboard/eval.html count: 95 - name: “COVID-19 Forecast Hub” description: | A repository run by the US CDC to collect forecasts of weekly incident COVID-19 hospital admissions. contact: - name: COVID-19 Forecast Hub email: covidhub@cdc.gov license: Apache License 2.0 repo: CDCgov/covid19-forecast-hub aws: covid19-forecast-hub forecasts: https://reichlab.io/covidhub-dashboard/forecast.html evals: https://reichlab.io/covidhub-dashboard/eval.html count: 22 - name: “RSV Forecast Hub” description: “A repository run by the US CDC to collect forecasts of weekly new hospitalizations and the percentage of emergency department visits due to RSV. ” contact: - name: RSV Hub email: rsvhub@cdc.gov license: Apache License 2.0 repo: CDCgov/rsv-forecast-hub count: 9 - name: “Paraguay Forecast Hub” description: “The Paraguay Forecast Hub is designed to collect forecast data for weekly severe acute respiratory infection (SARI) hospitalizations during 2024 season in Paraguay.” contact: - name: Paraguay Forecast Hub email: opp8@cdc.gov - name: “WHO FluNet Hub” description: “An effort to produce -1 to 4 week ahead forecasts using the World Health FluNet surveillance data for Australia, Brazil, Chile, South , and Thailand.” contact: - name: WHO FluNet Hub email: opp8@cdc.gov ecdc: logo: /includes/img/ecdc.png name: “European Centre for Disease Prevention and Control (ECDC)” description: | The European Centre for Disease Prevention and Control (ECDC) is an EU agency that strengthens Europe’s defenses against infectious diseases, coordinating collaborative respiratory disease forecasting and scenario modeling across EU/EEA countries. hubs: - name: “RespiCast Syndromic Indicators” description: | The European Syndromic Indicators Forecasting Hub collates weekly forecasts on Influenza-Like-Illness (ILI) and Acute Respiratory Infection (ARI) incidence in EU/EEA countries. contact: - name: European Centre for Disease Prevention and Control (ECDC) email: european.modelling.hub@ecdc.europa.eu license: CC-BY 4.0 license repo: european-modelling-hubs/RespiCast-SyndromicIndicators forecasts: https://respicast.ecdc.europa.eu/forecasts/?disease=4&target=1 evals: https://respicast.ecdc.europa.eu/evaluations/?disease=4&target=1 count: 30 - name: “European Covid-19 Forecasting Hub” description: | The European Covid-19 Forecasting Hub collates weekly forecasts on Covid-19 Hospital Admissions in EU/EEA countries. contact: - name: European Centre for Disease Prevention and Control (ECDC) email: european.modelling.hub@ecdc.europa.eu license: CC-BY 4.0 license repo: european-modelling-hubs/RespiCast-Covid19 forecasts: https://respicast.ecdc.europa.eu/forecasts/?disease=5 evals: https://respicast.ecdc.europa.eu/evaluations/?disease=5 count: 19 - name: “RespiCompass - ECDC’s Respiratory Diseases Scenario Hub” description: | RespiCompass is a platform dedicated to hosting and sharing scenario modelling results for respiratory pathogens. This initiative is funded and led by the European Centre for Disease Prevention and Control (ECDC). RespiCompass develops and applies multi-model analyses through international modelling collaboration. contact: - name: European Centre for Disease Prevention and Control (ECDC) email: european.modelling.hub@ecdc.europa.eu license: CC-BY 4.0 license repo: european-modelling-hubs/RespiCompass insights: https://respicompass.ecdc.europa.eu/insights/ count: 25 archived_dirs: - “Previous_Rounds//model-output” - ”Previous_Rounds//target-data” ecdc-archival: logo: /includes/img/ecdc.png name: “European Centre for Disease Prevention and Control (ECDC)” description: | The European Centre for Disease Prevention and Control (ECDC) is an EU agency that strengthens Europe’s defenses against infectious diseases. These repositories archive forecasts from past respiratory disease forecasting seasons. hubs: - name: “Archival RespiCast Influenza Hub (2023-2024)” description: “This repository archives the forecasts computed during season 2023/2024. ” contact: - name: European Centre for Disease Prevention and Control (ECDC) email: european.modelling.hub@ecdc.europa.eu license: CC-BY 4.0 license repo: european-modelling-hubs/flu-forecast-hub_archive count: 16 - name: “Archival RespiCast ARI Hub (2023-2024)” description: | This repository archives the forecasts computed during season 2023/2024. contact: - name: European Centre for Disease Prevention and Control (ECDC) email: european.modelling.hub@ecdc.europa.eu license: CC-BY 4.0 license repo: european-modelling-hubs/ari-forecast-hub_archive count: 12 cadph: logo: /includes/img/cadph.png name: California Department of Public Health description: | The California Department of Public Health works to protect the health of Californians, including through modeling and forecasting of infectious disease threats such as West Nile virus. hubs: - name: West Nile Virus Forecasting Hub description: | This is an open (by request) forecasting challenge to predict monthly West Nile virus (WNV) total disease cases in select California counties in 2024 in the months of May through December. This is the first iteration of a California county-specific Forecasting Challenge. contact: - name: West Nile Virus Forecasting Hub email: modeling@cdph.ca.gov license: CC-BY 4.0 license repo: cdphmodeling/wnvca-2024 count: 25 accidda: logo: /includes/img/accidda.png name: Atlantic Coast Center for Infectious Disease Dynamics and Analytics description: | The Atlantic Coast Center for Infectious Disease Dynamics and Analytics is devoted to rapid, coordinated response to infectious disease threats through innovative modeling techniques, enhanced data integration, and training a new generation of public health experts. hubs: - name: NC DHHS / ACCIDDA Forecasting Collaboration description: | Flu Forecasts for NC DHHS. Two models (influpaint + a mechanistic dual strain model). Similar than Flusight but using state health data for Flu, COVID-19 and RSV as targets instead. We run a lean hubverse structure, where most of our repository is hubverse compliant but not all. It allows us to leverage the amazing hubverse tools which have been instrumental in this collaboration. contact: - name: Sara Loo email: sloo2@jhmi.edu - name: Matthew Mietchen email: mietchen@unc.edu insights: https://www.respilens.com/ count: 2 acefa: logo: /includes/img/acefa.png name: Australia-Aotearoa Consortium for Epidemic Forecasting & Analytics description: | ACEFA aims to support the timely, effective response to epidemic diseases in Australia through real-time data analytics, modelling, and forecasting. hubs: - name: Australia-Aotearoa Forecasting Hub description: | The Australia–Aotearoa Forecasting Hub collects submissions of forecasted daily case incidence for SARS-CoV-2, RSV, and influenza virus. As an experimental target, the hub also collects submissions of predicted epidemic peak size and timing for each of these pathogens. contact: - name: Emily Kay email: emily.kay@unimelb.edu.au hopkinsidd: logo: /includes/img/hopkinsidd.png name: “Johns Hopkins University Infectious Disease Dynamics Group” description: | The Johns Hopkins University Infectious Disease Dynamics Group develops models and forecasts to understand and predict the spread of infectious diseases. hubs: - name: “Archival US RSV Forecast Hub 2024-2025” description: | This repository was designed to collect forecast data for the 2024-2025 RSV Forecast Hub run by Johns Hopkins University Infectious Disease Dynamics Group. This project collected forecasts for weekly new hospitalizations due to confirmed RSV. contact: - name: Shaun Truelove email: shauntruelove@jhu.edu license: MIT License repo: HopkinsIDD/rsv-forecast-hub count: 9 dailypartita: logo: /includes/img/dailypartita.png name: “Guangzhou Laboratory” description: | Guangzhou Laboratory is a research institution in China focused on respiratory disease research, surveillance, and real-time forecasting. hubs: - name: “GZlab China COVID-19 Forecast Hub” description: | This collaborative hub is designed to collect real-time probabilistic nowcasts and forecasts of weekly SARS-CoV-2 positivity rates from the Chinese sentinel hospital surveillance network (data from China CDC). contact: - name: Kaixin Yang email: yang_kaixin@gzlab.ac.cn license: MIT License repo: dailypartita/China-COVID-19-Forecast-Hub forecasts: https://dailypartita.github.io/China-COVID-19-Forecast-Dashboard/forecast.html evals: https://dailypartita.github.io/China-COVID-19-Forecast-Dashboard/eval.html count: 9 sjfox: logo: /includes/img/Northern_Arizona_U_logo.png name: “Northern Arizona University” description: | The forecasting group at Northern Arizona University develops infectious disease models and trains students in applied time series forecasting. hubs: - name: “ATSF2026 Training Hub” description: “This is a sandbox hub used to teach programming and forecasting techniques to undergraduate and students as part of the Applied Time Series Forecasting course at Northern Arizona University. are asked to produce weekly 4-week-ahead forecasts for five seasons of weighted influenza-like illness the HHS and National level.” contact: - name: Spencer J Fox email: Spencer.Fox@nau.edu license: MIT License repo: sjfox/ATSF2026 count: 27 insightnet: logo: /includes/img/insightnet.png name: “Insight Net” description: | Insight Net is a national network of centers working to improve our collective ability to understand, predict, prepare for, and respond to infectious disease threats through collaboration between analytic experts and public health departments. hubs: - name: “BVBD Modeling Hub” description: | This modeling hub has been built to collect outbreak size estimates of the Bundibugyo (Ebola) virus outbreak in 2026. contact: - name: Nick Reich email: nick@umass.edu license: MIT License repo: “InsightNet-US/BDBV-Modeling-Hub” aws: bdbv-modeling-hub count: 5 bleicham: logo: /includes/img/DMA-PRIME-Logo.png name: “DMA-PRIME” description: | DMA-PRIME (Disease Modeling and Analytics to inform Outbreak Prevention, Response, Intervention, Mitigation, and Elimination) increases the ability of public health organizations and communities to prepare for, and respond to, infectious disease threats through a statewide network for outbreak detection, forecasting, and emergency response. hubs: - name: “SISMID Human-AI Teaming Forecast Challenge Sandbox” description: “A sandbox forecasting challenge for the SISMID lab on Human–AI Teaming Approaches to Infectious Disease Modeling. Students built a collaborative forecasting pipeline end to end: cleaning surveillance data, producing a probabilistic forecast, submitting it to the hub through a validated pull request, and seeing it scored against every other team’s on the same target, horizons, and data.” contact: - name: “Amanda Bleichrodt” email: “ambleic@clemson.edu” - name: “Lior Rennert” email: liorr@clemson.edu license: MIT License repo: bleicham/Human-AI-Forecasting-Challenge-Sandbox forecasts: https://bleicham.github.io/Human-AI-Teaming-Challenge-Sandbox-Dashboard/forecast.html evals: https://bleicham.github.io/Human-AI-Teaming-Challenge-Sandbox-Dashboard/eval.html count: 12 —
US Centers for Disease Control and Prevention
Scenario Modeling Hub Coordination Team
epiENGAGE
AI4Casting (U of Guelph)
European Centre for Disease Prevention and Control (ECDC)
California Department of Public Health
Atlantic Coast Center for Infectious Disease Dynamics and Analytics
Australia-Aotearoa Consortium for Epidemic Forecasting & Analytics
Guangzhou Laboratory
Insight Net
The hubverse
Johns Hopkins University Infectious Disease Dynamics Group
Reich Lab
Northern Arizona University
DMA-PRIME