BioBot - a public health research, data and analytics firm co-founded by Mariana Matus PhD '18 and Newsha Ghaeli PhD '17 - is using wastewater testing to provide insights into growing infection rates and diseases across the country, reports Soledad O’Brien for WCVB-TV.
The Economist spotlights new research by Prof. Ivan Werning suggesting a refined economic model to address the post-pandemic economy. Werning’s model adjusts “not just to a shift in demand from services to goods, but to supply-chain disruption, energy shocks and employees in some sectors working from home,” explains The Economist. “As such, inflation moved through the economy in waves, starting in select goods then spreading out.”
Researchers from MIT have found that since the Covid-19 pandemic, there has been a decrease in the number of interactions between people from different socioeconomic backgrounds, reports Danny Westneat for The Seattle Times. “It’s creating an urban fabric that is actually more brittle, in the sense that we are less exposed to other people,” says research scientist Esteban Moro. “We don’t get to know other people in the city … to know other people’s needs. If we don’t see them around the city, that will be impossible.”
Prof. Kevin Esvelt and his students have found that language-generating AI models could make it easier to create pandemic potential pathogens, reports Kelsey Piper for Vox.
Writing for The Boston Globe, Prof. Carlo Ratti emphasizes that in the wake of the Covid-19 pandemic “urban areas need to fundamentally reweave their fabric to thrive in the era of flexible work: That means ending homogeneous zoning, promoting mixed-use developments, converting some offices into housing, and giving more space to arts and culture. We should recognize that the fundamental attraction of urban areas is the pleasure they provide to their residents — and that the affordability of housing needs to be seriously tackled.”
MIT researchers and an undergraduate class found that chatbots could be prompted to suggest pandemic pathogens, including specific information not commonly known among experts, reports Ryan Health for Axios. The MIT researchers recommend "pre-release evaluations of LLMs by third parties, curating training datasets to remove harmful concepts, and verifiably screening all DNA generated by synthesis providers or used by contract research organizations."
Science reporter Robert F. Service spotlights how Prof. Kevin Esvelt is sounding the alarm that “AI could help somebody with no science background and evil intentions design and order a virus capable of unleashing a pandemic.”
Researchers from MIT have found that, as a result of the Covid-19 pandemic, people are less likely to explore economically different parts of their home cities, reports Immanual John Milton for Bloomberg. “Fewer people are visiting attractions like museums, restaurants or parks that are outside their immediate mobility radius, and they’re spending less time among residents at different socioeconomic levels,” writes Milton.
Researchers from MIT and elsewhere have found chance encounters among employees of different companies can kickstart innovation, reports Bart Ziegler for The Wall Street Journal. Researchers explained that such chance meetings “may spark a conversation that leads to a transfer of knowledge or a collaboration,” writes Ziegler.
Prof. Carlo Ratti speaks with CNN reporter Paula Newton about the future of cities and the potential impact of vacant office spaces. “We need to meet in a physical space,” says Ratti. “Maybe not in the old office tower, but the physical space is very important. It’s the way we sustain and enrich our social networks.”
MIT researchers have found that interactions between people from different economic backgrounds have dropped significantly since the start of the Covid-19 pandemic, reports David Scharfenberg for The Boston Globe. Scharfenberg notes the “the phenomenon could hurt low-income people in direct ways – they’ll lose connections to better-off people – and indirect ways.”
A study by Prof. David Autor and his colleagues have found that the pandemic narrowed the wage gap between America’s highest and lowest paid workers, reports Geoff Colvin for Fortune. The study also found “wages of the least educated workers increased more than the wage of the most educated workers, reducing the college wage premium,” writes Colvin.
Using an artificial intelligence system, researchers at MIT and elsewhere have developed a new Covid-19 vaccine that could be effective against current and future strains, reports Gwen Egan for Boston.com. “The vaccine differs from others currently on the market due to the portion of the virus being targeted,” writes Egan.
Boston Globe reporter Hiawatha Bray writes that MIT researchers have used an AI system to identify a potential new Covid-19 vaccine that may be effective against both current and future variants of the virus. “The new vaccine targets a portion of the COVID virus that is much less prone to evolve,” writes Bray. “That could potentially make it effective against many different versions of the virus, eliminating the need for routine booster shots.”
MIT researchers have developed a new approach to vaccines that uses “a machine learning twist [that] could put an end to boosters and seasonal variant shots,” reports Devin Coldewey for TechCrunch.