The Jameel Clinic recently hosted the AI for Health Care Equity Conference to assess current state-of-the-art work in this space, including new machine learning techniques that support fairness, personalization, and inclusiveness; identify key areas of impact in health care delivery; and discuss regulatory and policy implications. Nearly 1,400 people virtually...
Paper by CBI researchers helps define challenges with scaling of vaccine manufacturing
The team, led by CBI research scientist Donovan Guttieres published 'Models to inform neutralizing antibody therapy strategies during pandemics: the case of SARS-CoV-2' in the March 2021 volume of Antibody Therapeutics. This work was funded by the MIT-IBM Watson AI Lab and was previously featured in MIT news. Read the...
Job connectivity improves resiliency in U.S. cities
What makes urban labor markets more resilient? This is the question at the heart of a new study published in Nature Communications by members of MIT’s Connection Science Group. The researchers in this study, including MIT research scientist and Universidad Carlos III (Spain) Professor Esteban Moro; University of Pittsburgh professor and former...
MIT researchers publish new study on social learning dynamics
Prof. Sandy Pentland (Media Lab and IDSS) and Prof. Joshua Tenenbaum (Brain and Cognitive Sciences) are among the co-authors of "Bayesian collective learning emerges from heuristic social learning" to be published in the July 2021 edition of Cognition. The paper draws on data from eToro, a social financial trading tool and...
3 Questions: AI for Healthcare Equity
Regina Barzilay, Fotini Christia, and Collin Stultz describe how artificial intelligence and machine learning can support fairness, personalization, and inclusiveness in health care.
Modeling Framework to Evaluate Vaccine Strategies against the COVID-19 Pandemic
CBI's Biomanufacturing Group published "Modeling Framework to Evaluate Vaccine Strategies against the COVID-19 Pandemic" in the journal Systems as part of a special issue titled Systemic Thinking in Times of the COVID-19 Pandemic Crisis. The paper provides a systems-level modeling framework to guide the development of analytical tools aimed at informing time-critical...
Making data-informed Covid-19 testing plans
A new web-friendly modeling tool helps organizations build tailored Covid-19 testing strategies that can save money and reduce coronavirus spread.
NEWDIGS – Dynamic Dossier in the Cloud
Published on October 28th in Therapeutic Innovation & Regulatory Science, this article from CBI NEWDIGS addresses inefficiencies in the system and process of data sharing among stakeholders in the development, access, and use of drug therapies. It applies a Systems Engineering approach within a case study to propose a scalable...
MIT Connection Science Group: Reforming Global Trade, Finance, and Governance
MIT Connection Science, in collaboration with the World Leadership Alliance and the Boston Global Forum, is working to bring about a new paradigm in global trade, finance, and governance systems. With tools to securely collect, share, and analyze data, governments and communities can build better systems for health, monetary exchange, economic...
Prediction and prevention of disproportionally dominant agents in complex networks
A new publication from SSRC Research Affiliate Sandro Lera, MIT Prof. Sandy Pentland, and ETH Prof. Didier Sornette encourages regulators to take a holistic view to prevent and address outsized dominance within systems, concluding that "the emergence of disproportional dominance is not explained as the action of a single agent,...