Artificial Intelligence to be Focus of Fellowship at State Capitol

Artificial Intelligence to be Focus of Fellowship at State Capitol

The Connecticut Academy of Science and Engineering (CASE) is accepting applications for a one-year CASE Fellowship at the state legislature - the Connecticut General Assembly (CGA) Artificial Intelligence Policy Fellowship, to get underway in 2025.

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Severe Weather Arriving in Connecticut Sooner, Rather Than Later

Severe Weather Arriving in Connecticut Sooner, Rather Than Later

If we have the data showing that the hotter and wetter summers are increasing the danger of weather events occurring - and we do - it is important to plan for them at the individual, municipal, and statewide level, according to the state’s Department of Energy and Environmental Protection.

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CIGNA Earns Ranking Among World's 20 Most Sustainable Companies

CIGNA Earns Ranking Among World's 20 Most Sustainable Companies

The CIGNA Group has placed a priority on environment leadership, which was recently recognized by TIME magazine in its ranking of the world’s top 20 most sustainable companies.  Connecticut-headquartered CIGNA ranked tenth, and was one of only two U.S.-based companies ranked in the top ten.

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New State Partnership Aims to Increase Access to Smoking Cessation Resources

New State Partnership Aims to Increase Access to Smoking Cessation Resources

The Connecticut Department of Public Health (DPH) has announced a new partnership with National Jewish Health to offer new Quitline services for Connecticut residents. The Connecticut Quitline provides free tobacco cessation support to all Connecticut residents who want help quitting commercial tobacco, including e-cigarettes.

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Yale-led Study Explores Predicting Who is Most At Risk for Severe COVID-19

Yale-led Study Explores Predicting Who is Most At Risk for Severe COVID-19

A new study from a partnership between the National Institute of Allergy and Infectious Diseases (NIAID) and 15 research institutions across the country, including Yale School of Medicine, has unveiled clues for helping scientists predict who is most at risk for severe COVID-19 and who is most likely to survive.

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