Data

TechCrunch reporter Brian Heater spotlights multiple MIT research projects, including MIT Space Exploration Initiative’s TESSERAE, CSAIL’s Robocraft and the recent development of miniature flying robotic drones.

Tom Davenport, a visiting scholar at the MIT Initiative on the Digital Economy, writes for Forbes about Telstra Ventures, a venture capitalist firm that invests in tech firms and its incorporation of data science into its investing criteria. “It seems inevitable that other venture capitalist firms will begin to make more data and analytics-driven decisions in the future,” writes Davenport.

Based on data from the MIT Election Data and Science Lab and the Center for Disease Control and Prevention, researchers have found that mortality rates are improving faster in Democratic counties than Republican ones, reports Adrianna Rodriguez for USA Today. “Democratic counties also saw greater reductions in deaths from chronic lower respiratory tract diseases, diabetes, influenza and pneumonia, and kidney disease,” writes Rodriguez.

Information from MIT’s Election Data and Science Lab and the Centers for Disease Control and Prevention were used in a new study that found mortality rates in Democratic and Republican counties are growing further apart, reports WCVB. The study found “that mortality rates decreased more in Democratic counties than in Republican counties,” writes WCVB.

Prof. Erin Kara speaks with Harry Smith of NBC News about the data sonification of the black hole at the center of the Perseus Galaxy. Kara notes that data sonification is “a really exciting way to hear the universe and think about it in a new way.”

Prof. Jessika Trancik speaks with Forbes contributor Peter Cohan about the carbon emissions associated with gas, hybrid and electric vehicles, and the site she and her research group developed to allow consumers to compare personal vehicles against climate change mitigation targets. “In most locations, compared to [gas-powered vehicles], EVs produce emissions savings greater than 30%,” says Trancik. "Most savings are greater depending on the geographic location, the electricity supply, and the vehicle model.”

Researchers at MIT and Harvard Medical School have created an artificial intelligence program that can accurately identify a patient’s race based off medical images, reports Tony Ho Tran for The Daily Beast. “The reason we decided to release this paper is to draw attention to the importance of evaluating, auditing, and regulating medical AI,” explains Principal Research Scientist Leo Anthony Celi.

TechCrunch reporter Kyle Wiggers spotlights how MIT researchers have developed a new computer vision algorithm that can identify images down to the individual pixel. The new algorithm is a “vast improvement over the conventional method of ‘teaching’ an algorithm to spot and classify objects in pictures and videos,” writes Wiggers.

Prof. Jessika Trancik speaks with ABC News about the urgent need to transition to renewable energy sources, and how we can build a future powered by alternative energy. “Up until recently there were really significant questions about whether we could transition to another [energy] foundation,” says Trancik. “This question has now been answered in that we now have cost competitive renewable primary energy in the form of solar and wind energy and also in other types of renewable energy.”

STAT reporter Katie Palmer spotlights Principal Research Scientist Leo Anthony Celi’s research underscoring the importance of improving the diversity of datasets used to design and test clinical AI systems. “The biggest concern now is that the algorithms that we’re building are only going to benefit the population that’s contributing to the dataset,” says Celi. “And none of that will have any value to those who carry the biggest burden of disease in this country, or in the world.”

MIT startup ReadySet, co-founded by Alana Marzoev PhD ’18 and Jon Gjengset PhD ’20, provides database infrastructure to help developers build real-time applications, reports Kyle Wiggers for TechCrunch. “Rather than rebuilding these same broken systems, developers need solutions that slot into their existing infrastructure and achieve limitless read scaling,” says Marzoev. “With ReadySet, we aim to make the process of globally caching… query results as streamlined and automated as caching images in a content delivery system.”

MIT researchers and two high school seniors have developed DualFair, a new technique for removing bias from a mortgage lending dataset, reports Hiawatha Bray for The Boston Globe. “When a mortgage-lending AI was trained using DualFair and tested on real-world mortgage data from seven US states,” writes Bray, “the system was less likely to reject applications of otherwise qualified borrowers because of their race, sex, or ethnicity.”

Prof. Jessika Trancik speaks with Wall Street Journal reporter Nidhi Subbaraman about the dramatic drops in costs to manufacture and sell renewable technologies. Subbaraman notes that Trancik’s research shows that “the steep drop in solar and lithium-ion battery technology was enabled by market expansion policies as well as investment in research and development by governments and the private sector.”

Boston Globe reporter Michael Silverman spotlights the MIT Sloan Sports Analytics Conference, which is highlighting the resiliency of the sports industry.

Forbes contributor Patrick Rishe spotlights the 2022 MIT Sloan Sports Analytics Conference, which addressed equity analytics, the Rooney rule, sports marketing in the metaverse, and the future of AI in sports. “Advancements in technology and tracking granular layers of fan behavior at (and away from) sports venues are giving brands deeper insights on connecting a particular partnership with real consumer purchase intentions,” writes Rishe.