Home | COVID-19 Data Science Consortium

A consortium of experts in data science and artificial intelligence from academia, industry and research institutes have voluntarily come together to support public authorities in managing the COVID-19 pandemic by building and deploying technology solutions.

About the Consortium

As SARS-CoV-2 continues to test human resolve by overwhelming health systems and governments, we need to do our part.

The Covid19 Consortium brings together scientists, researchers, technologists, global corporations, philanthropies and startups—to collaboratively and expeditiously build and deploy technology solutions to help fight the pandemic.

Bringing partners across the board will be critical to formulating rapid and effective responses to emerging needs. To focus on localised efforts and to track the effectiveness of interventions, this coalition seeks to:

Engage a diverse set of individuals and organizations (epidemiological modelers, AI & data scientists, engineers, data sources, and data management and governance experts) to seamlessly work together.
Enable data, models, and dashboards sourced from members to be combined in order to produce improved models, insights and dashboards.
Support the needs of public authorities to guide solution development, and to deliver actionable insights and tools.
Maintain data governance policy and standards in line with governing laws and industry best practices towards ensuring the observance and protection of privacy and ethics.

Members

Wadhwani AI

Indian Institute of Science (IISc)

DataScienceIndiaVsCovid

PWC

Quantela

Infinite Analytics

Amazon Web Services (AWS)

Bill & Melinda Gates Foundation (US & India)

Institute for Disease Modeling

Stanford Centre for Population Health Sciences

Harvard-led COVID-19 Mobility Data Network

I-DAIR

Reliance Jio

Facebook Data for Good

Indraprastha Institute of Information Technology, Delhi

PATH

UNICEF

Consortium Leadership

CHAIR
Mr. R. Chandrashekar
Former Secy MEITY and DoT, ex-President, Nasscom

CO-DIRECTORS
Dr. P. Anandan
Wadhwani AI

Prof. Bharadwaj Amrutur
IISc

R&D AND PRODUCT DEVELOPMENT LEADS
Dr. Alpan Raval
Wadhwani AI

Dr. Srujana Merugu
Co-convener, DataScienceIndiaVsCovid

Dr. Mohit Kumar
Co-convener, DataScienceIndiaVsCovid

Mr. Ankur Seth
PWC India

Mr. Raghu Dharmaraju
Wadhwani AI

We are building a community to fight COVID-19. Find out how you can help.

Resources

WHO COVID-19 Dashboard

Ministry of Health and Family Welfare

JHU Coronavirus Resource Center

The Lancet COVID-19 Resource Centre

On Twitter

Retweet on Twitter Wadhwani AI Retweeted

Jigar Doshi @jigarkdoshi·

23 Feb

A comprehensive survey of the #stateofai across Research, Industry, Talent Market, and Policy by
@nathanbenaich and @soundboy
https://docs.google.com/presentation/d/1ZUimafgXCBSLsgbacd6-a-dqO7yLyzIl1ZJbiCBUUT4/edit#slide=id.g7f25301ff3_0_12

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Wadhwani AI@WadhwaniAI·

18 Feb

On this day in 2018, Wadhwani AI was formed to develop AI solutions that benefit underserved populations in developing countries. Thank you for being an integral part of our journey towards creating a culture of impact with AI.

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Wadhwani AI@WadhwaniAI·

17 Feb

Over the past year and some, we developed and tested some of our anthropometry prototypes with frontline workers, capturing ground realities, as well as aspects that they liked and didn't.

@aayushi0705 & @saketkanth on what we learned from the field: https://www.wadhwaniai.org/2021/02/16/anthropometry-field-visit/

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Wadhwani AI@WadhwaniAI·

11 Feb

We are honoured to contribute to NTEP @TbDivision through the Trace TB program. @USAID @everwell_health @PATHtweets , @ntep_UP @TBFREEKA @amar_niranjan @drkiranrade NTEP WB

Dr Sudarsan Mandal@sudarsannrs1962

NTEP and Wadhwani AI have started development of AI Solutions for reducing LTFU and increasing success rate of TB treatment via diffentiated care of high risk group of TB patients. The TRACE-TB project is working in the states of UP, WB and Karnataka. @ddgtb2017 @DrRaghuramRao

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Wadhwani AI@WadhwaniAI·

9 Feb

Line Probe Assays are a series of genetic markers laid out in binary form, that detect the type of TB and mutations connected with drug sensitivity.

Dr Jayakrishna Kurada explains how AI might help increase efficiency and accuracy in test reading: https://www.wadhwaniai.org/2021/02/08/tb-lpa-need-for-a-solution/

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