Public health beliefs predict support for climate action Image: iStock/humonia Public health beliefs predict support for climate action New research from the Annenberg Public Policy Center examines the relationship between health-related beliefs about climate change and support for climate policy proposals.
Redlining and rentals Aerial view of a Park Forest neighborhood in 1952 that captures the neat rows of homes that characterized the post-World War II housing boom in the planned community.(Image: Owen Kent via the Chicago Historical Society) Redlining and rentals Historian Brent Cebul in the School of Arts & Sciences is working on a new digital mapping project looking at the impact of Federal Housing Administration policies on the availability of affordable rental housing post-World War II.
The anthropology of plastics in India Children inspect plastic waste in a scrapyard with skyscrapers on the horizon line.(Image: Sidharth Chitalia) The anthropology of plastics in India Doctoral candidate Adwaita Banerjee uses ethnographic research to document the ecological transition of the Deonar dumping ground, where thousands of Dalits and Muslim migrants mine the area for plastic that can be resold and recycled.
A majority of CFOs admit they don’t fully understand AI Penn In the News Fortune A majority of CFOs admit they don’t fully understand AI A report by Amy Wang Huber of the Wharton School found that broker-dealers’ power over cash lenders in the repo market generates substantial profit for the dealers while affecting many downstream asset prices. ‘I screwed up’: When is a leader too old to lead? Penn In the News Sydney Morning Herald (Australia) ‘I screwed up’: When is a leader too old to lead? A 2005 survey by Michael Horowitz of Perry World House and the School of Arts & Sciences found that older political leaders were more likely to initiate and intensify military conflicts than their younger peers. A first, physical system to learn nonlinear tasks without a traditional computer processor University of Pennsylvania physics and engineering researchers have created a contrastive local learning network, an analog system that is fast, low-power, scalable, and able to learn nonlinear tasks.(Image: Erica Moser) A first, physical system to learn nonlinear tasks without a traditional computer processor Physics and engineering researchers created a contrastive local learning network that is fast, low-power, and scalable. Who, What, Why: Lasya Sreepada on decoding Alzheimer’s disease nocred Who, What, Why Who, What, Why: Lasya Sreepada on decoding Alzheimer’s disease The doctoral candidate at the School of Engineering and Applied Science discusses her path to brain research and how it set her on a course to demystifying neurological diseases using data science approaches. Path to 2024 series highlights realities of American attitudes Image: iStock/wildpixel Path to 2024 series highlights realities of American attitudes Focusing on corporate political action, AI, immigration, and more, the Polarization Research Lab aims to dispel myths about partisan beliefs. Hospital nursing resources tied to COVID-19 survival Penn In the News HealthDay Hospital nursing resources tied to COVID-19 survival According to a study by Karen Lasaster of the School of Nursing, older patients with COVID-19 are more likely to survive hospitalization in facilities with adequate nursing resources. Uncovering the drivers of a million-year-old glacial transition (Image: iStock/Nigel Jarvis) Uncovering the drivers of a million-year-old glacial transition Driving a climate model forward and backward in time, Mann Research Group scientists found strong path dependence in the evolution of Plio-Pleistocene glaciations. Load More
‘I screwed up’: When is a leader too old to lead? Penn In the News Sydney Morning Herald (Australia) ‘I screwed up’: When is a leader too old to lead? A 2005 survey by Michael Horowitz of Perry World House and the School of Arts & Sciences found that older political leaders were more likely to initiate and intensify military conflicts than their younger peers. A first, physical system to learn nonlinear tasks without a traditional computer processor University of Pennsylvania physics and engineering researchers have created a contrastive local learning network, an analog system that is fast, low-power, scalable, and able to learn nonlinear tasks.(Image: Erica Moser) A first, physical system to learn nonlinear tasks without a traditional computer processor Physics and engineering researchers created a contrastive local learning network that is fast, low-power, and scalable. Who, What, Why: Lasya Sreepada on decoding Alzheimer’s disease nocred Who, What, Why Who, What, Why: Lasya Sreepada on decoding Alzheimer’s disease The doctoral candidate at the School of Engineering and Applied Science discusses her path to brain research and how it set her on a course to demystifying neurological diseases using data science approaches. Path to 2024 series highlights realities of American attitudes Image: iStock/wildpixel Path to 2024 series highlights realities of American attitudes Focusing on corporate political action, AI, immigration, and more, the Polarization Research Lab aims to dispel myths about partisan beliefs. Hospital nursing resources tied to COVID-19 survival Penn In the News HealthDay Hospital nursing resources tied to COVID-19 survival According to a study by Karen Lasaster of the School of Nursing, older patients with COVID-19 are more likely to survive hospitalization in facilities with adequate nursing resources. Uncovering the drivers of a million-year-old glacial transition (Image: iStock/Nigel Jarvis) Uncovering the drivers of a million-year-old glacial transition Driving a climate model forward and backward in time, Mann Research Group scientists found strong path dependence in the evolution of Plio-Pleistocene glaciations. Load More
A first, physical system to learn nonlinear tasks without a traditional computer processor University of Pennsylvania physics and engineering researchers have created a contrastive local learning network, an analog system that is fast, low-power, scalable, and able to learn nonlinear tasks.(Image: Erica Moser) A first, physical system to learn nonlinear tasks without a traditional computer processor Physics and engineering researchers created a contrastive local learning network that is fast, low-power, and scalable.
Who, What, Why: Lasya Sreepada on decoding Alzheimer’s disease nocred Who, What, Why Who, What, Why: Lasya Sreepada on decoding Alzheimer’s disease The doctoral candidate at the School of Engineering and Applied Science discusses her path to brain research and how it set her on a course to demystifying neurological diseases using data science approaches.
Path to 2024 series highlights realities of American attitudes Image: iStock/wildpixel Path to 2024 series highlights realities of American attitudes Focusing on corporate political action, AI, immigration, and more, the Polarization Research Lab aims to dispel myths about partisan beliefs.
Hospital nursing resources tied to COVID-19 survival Penn In the News HealthDay Hospital nursing resources tied to COVID-19 survival According to a study by Karen Lasaster of the School of Nursing, older patients with COVID-19 are more likely to survive hospitalization in facilities with adequate nursing resources. Uncovering the drivers of a million-year-old glacial transition (Image: iStock/Nigel Jarvis) Uncovering the drivers of a million-year-old glacial transition Driving a climate model forward and backward in time, Mann Research Group scientists found strong path dependence in the evolution of Plio-Pleistocene glaciations.
Uncovering the drivers of a million-year-old glacial transition (Image: iStock/Nigel Jarvis) Uncovering the drivers of a million-year-old glacial transition Driving a climate model forward and backward in time, Mann Research Group scientists found strong path dependence in the evolution of Plio-Pleistocene glaciations.