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* amesh moved to advisors
* changes to about page -- changed some words around, and updated our epidata section.
* add Jignesh to team page, remove 'News' & 'Milestones' from nav bar
* cropped Jignesh's pic to square dimensions
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Co-authored-by: ptothej23 <[email protected]>
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- Perennial winners of CDC’s [“predict the flu” challenge](https://www.cdc.gov/flu/weekly/flusight/index.html) since 2014
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- Designated a 6-year [National Center of Excellence for Flu Forecasting](https://delphi.cmu.edu/about/center-of-excellence/) by [CDC’s Influenza Division](https://www.cdc.gov/ncird/flu.html) (2019-2025)
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- Designated a 5-year [National Center for Innovation](https://www.cs.cmu.edu/news/2023/delphi-cdc-center) by [CDC’s Center for Forecasting and Outbreak Analytics](https://www.cdc.gov/forecast-outbreak-analytics/index.html) (2023-2028)
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- Our [Epidata repository](https://cmu-delphi.github.io/delphi-epidata/) of real-time, geographically-detailed epidemic indicators contains more than 500 indicators totalling over 4 billion records, with 3 million records being added daily. It receives on average 100,000 queries/day, from more than 50,000 unique IP addresses in a 3 month period.
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- Our [Epidata repository](https://cmu-delphi.github.io/delphi-epidata/) of real-time, geographically-detailed epidemic indicators contains more than 750 indicators totaling over 5 billion records, with 3 million records being added daily. It receives on average 100,000 queries/day, bursting to 3 million during the pandemic.
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- Data partners and collaborators include CDC, UnitedHealth/Optum, Change Healthcare, Google, Meta, Amazon, QuidelOrtho, and others
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- Funders include CDC, DTRA, Google, Meta, Optum, McCune Foundation, Uptake and others
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**Our strategy:**
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1. Procure [real-time, aggregated data streams](https://cmu-delphi.github.io/delphi-epidata/) informative of varied infectious diseases and syndromes, in collaboration with industry partners and public health agencies
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1. Extract indicators— many at daily and county-level resolution— from these streams and make them widely available via the [Delphi EpiPortal](https://delphi.cmu.edu/epiportal/) and [API](https://cmu-delphi.github.io/delphi-epidata/); enhance their value with automated revision tracking, revision projection, anomaly detection, trend detection, access control, smoothing, and geographic, temporal and demographic disaggregation
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1. Extract indicators— many at daily and county-level resolution— from these streams and make them widely available via the [Delphi EpiPortal](https://delphi.cmu.edu/epiportal/) and [API](https://cmu-delphi.github.io/delphi-epidata/); enhance their value with automated revision tracking, revision projection, anomaly detection, trend detection, access control, smoothing, and geographic, temporal and demographic stratification
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1. Develop and deploy algorithms for epidemic detection, tracking (nowcasting), and forecasting
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1. Develop and share tools for [signal access](https://cmu-delphi.github.io/epidatr/), [processing](https://cmu-delphi.github.io/epiprocess/), and [forecasting](https://cmu-delphi.github.io/epipredict/)
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1. Develop and share tools for [indicator access](https://cmu-delphi.github.io/epidatr/), [processing](https://cmu-delphi.github.io/epiprocess/), and [forecasting](https://cmu-delphi.github.io/epipredict/)
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1. Work closely with public health agencies to understand and support their needs
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1. Make it all real-time, operational, maximally accessible, and open-source
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