Monetary policy vs. fiscal policy: Which is more effective at stimulating the economy?
Rochester economist Narayana Kocherlakota explains the difference between the two—and why fiscal policy in the form of stimulus checks for all adults comes out ahead.
One year on, Republicans still don’t consider Biden the rightful winner
In their latest survey, Rochester political scientists in the Bright Line Watch watchdog group find divisions along partisan lines have notably deepened, and voters’ confidence in next year’s midterm elections has already been affected.
Rochester scientists reveal the limits of machine learning for hydrogen models
Research from the Laboratory for Laser Energetics paves the way for more accurate computer models, which are needed to understand the interior of planets and the physical properties of nuclear fusion.
Why don’t all politicians resort to antidemocratic tactics to stay in power?
A Rochester team of political scientists introduces the idea of ‘democracy by deterrence’—and shows why it might be weakening in the United States.
Brief period of ‘blindness’ is essential for vision
Rochester vision scientists uncover new information about the role of tiny “fixational” eye movements in enabling us to see clearly.
Are political parties getting in the way of our well-being?
On the contrary, a historical state-level analysis links party competition to increased public investment and greater social well-being.
Can appearing less educated help right-leaning candidates win votes from the poor?
Right-wing candidates in Brazil rely successfully on “descriptive representation” to win elections, according to Rochester political scientists.
Anxiety cues found in the brain despite safe environment
Rochester researcher Benjamin Suarez-Jimenez and his colleagues used virtual reality to better understand how anxiety effects the brain in a ‘real-world-like’ environment.
Software uses selfies to detect early symptoms of Parkinson’s disease
Rochester computer scientist Ehsan Hoque and his colleagues have harnessed machine learning to accurately identify signs of the neurological disease by analyzing facial muscles.
Tiny chip provides a big boost in precision optics
Researchers at the Institute of Optics for first time distill novel interferometry into a photonic device.