Conference on "Vaccines for All" hosted by MIT Media Lab, Auto-ID Lab, and New America

Trusted Pandemic Technologies

COVID-19 Digital Tools to Empower Citizens

Research Past Conferences Upcoming Events

Research on Digital Tools for Vaccination

Our goal is to achieve privacy, equity, and efficiency of the distribution so vulnerable populations can be reached, unrecognized gaps can be addressed, and the learning can be harnessed for future pandemic preparedness.

Our team’s research includes cryptographic protocols for data interoperability and privacy, human-centered design for apps used by residents, and publications on policy and strategy.

In the near-term we are considering five main problems:

  • Indicating vaccine eligibility based on priority tiers (vaccine coupons)
  • Second dose coordination (privacy-preserving record linkage)
  • Vaccine verification/passports (interoperability and privacy)
  • Vaccine safety and efficacy monitoring (long-term, crowdsourced monitoring of safety and efficacy using private aggregation)
  • Trust and communication (social media analytics, contextual messaging)

Upcoming Events

January 26th, 2021

Welcome and Introductions

12:00 PM EST

Invited Panel

12:15 PM EST

Phased Vaccinations

12:30 PM EST

Coordinating Two Doses

1:15 PM EST

Monitoring Side Effects

2:00 PM EST

Conclusion and Next Steps

2:45 PM EST

Past Events

January 19th, 2021

12:00 PM - 1:30 PM EST

Encrypted Vaccination Cards and Digital Solutions to Empower Citizens for the Vaccine Rollout

Can a new vaccination card simplify the user vaccination journey and create data-rich monitoring of the progress in vaccination?

Vaccination coordination is facing daunting challenges. Citizens are expected to navigate an array of websites and health authorities are using disconnected health IT systems. Reporting lags by several days. Following up with vaccinated subjects to monitor side effects is difficult. The systems to monitor ineffective batches of vaccines are yet to become mature. Vaccine verifications documents are prone to fraud.

MIT and IDEO have developed a modification of today's vaccination cards to provide end-to-end encryption, vaccination tracking, and authenticated uploads to CDC systems like v-safe or VAMS. The card dramatically simplifies phased vaccinations, second dose coordination, reporting of side effects, and credentials using an accompanying off-line app. It also creates data-rich monitoring of vaccination progress while eliminating red tape, privacy-concerns, and fraud. It is ideally suited for vulnerable populations, rural areas, labor unions of essential workers, and employers helping their own employees.

SafePaths Protocol for Vaccination without the Red Tape

Ramesh Raskar, MIT

Logistics for the Last Mile of Vaccination

Sanjay Sarma, MIT

Cryptographic Protocols for Vaccine Eligibility, Dose Coordination, and Reporting Side Effects

Anna Lysyanskaya, Brown University, and Abhishek Singh, MIT

Designing a New Vaccination Card


Boost19 App For Us All

Vitor Pamplona, PathCheckFoundation

The Vaccine Credentials Initiative

Brian Anderson, MITRE

LFPH and the Covid Credentials Initiative

Brian Behlendorf, Linux Foundation

Vaccines for All Conferences

Disparities in equitable distribution, vaccine efficacy, duration of immunity, multi-dose adherence, and privacy-focused user experience are among the most critical difficulties that must be addressed. The biggest hurdles in designing digital solutions which engage citizens in this pandemic are human and societal as well as technological. Trust at all levels and among all participants is mandatory for success. Can participatory real time epidemiology and user-centric crowd-sourced solutions help? The deployment of exposure notification/health passport apps is a promising start.

The conference brought together experts and stakeholders to address the consequences impacting disease-spread, individual behaviour, society, the economy, and data privacy.

Vaccines for All Conference Agenda

December 11, 2020

Welcome + Plenary Session

Anuradha Gupta, Deputy CEO, Gavi
Professor Deb Roy, Executive Director, MIT Media Lab, MIT
Professor Lawrence Gostin, Director of the WHO Center on Global Health Law, Georgetown University
Victor J. Dzau, President, National Academy of Medicine


Lav Agrawal, Joint Secretary, Health Ministry of India

Short Address

Tim Waltz, Governor, Minnesota


Lou Leon Guerrero, Governor, Guam
Ramesh Raskar, Associate Professor, MIT

Assessing Health Outcomes

Moderator: Susan Blumenthal, M.D.
Panelists: Bruce Gellin, Joshua Sharfstein, Shantanu Nundy, Victor J. Dzau

Communication and Public Trust

Moderator: Shirley Bergin
Panelists: Celine Gounder, Melissa Fleming, Lisa Sherman

Vaccine Coordination and Participatory Apps

Moderator: Bobbie S. Johnson
Panelists: Bill Patterson, Ryan Oakes, Adam Berrey

Expert Roundtable - COVID-19 and Citizen Centric Tech

Participants: Peter Schwartz, Sanjay Sarma, Suvrit Sra, Nicholas St. Fleur, Noel Hara, Anil Sharma, Susan Garfield

Spotlight Presentations

Participants: Authors of Spotlight Presentations

About Us

Trusted Pandemic Technologies’ mission is to help public health professionals rapidly overcome challenging barriers they encounter as they engage citizens as active participants in digital solutions for fighting COVID-19 and future pandemics.

Today, the program is focused on creating citizen-centric solutions for the digital management of COVID-19 vaccine distribution, testing, and health verification. Previously the program worked with public health officials as they designed and deployed exposure notification and digital contact tracing solutions. Subsequent initiatives under consideration include surveillance, monitoring, and predictive modeling to better prepare us, as a society, for future pandemics.

The founding belief of Trusted Pandemic Technologies is that when it comes to engaging citizens in a quest for the common good, especially public health, trust at all levels and among all participants is mandatory for success. The program builds on privacy-preserving systems for smartphone data, analytics, and machine learning.