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.
Author: Jesse DeLaughter
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 postdoc Morgan Frank, MIT…
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 sheds new light on how…
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 decisions to make vaccines globally…
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 design for multi-stakeholder data sharing.…
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 development, trade, and more. Global…
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, but rather as a wholistic…
SSRC Welcomes Prof. Fotini Christia as New Director
“Fotini’s breadth as a social scientist, on-the-ground approach, use of data science and computational techniques, and application of novel methods to understand how societies are being shaped in diverse areas, made her a natural fit to lead SSRC into the next chapter,” says Daniel Huttenlocher, dean of the MIT Schwarzman College of Computing. “I’m delighted…