It's not so much where people live, but where they frequently spend their time, that can provide useful information for predicting community health measures. A team led by geographers in the Penn State College of Earth and Mineral Sciences found that adding place visitation data—geographic data points collected from millions of anonymous cellphone users with GPS-enabled devices—to a population health model increased the model's predictive performance by an average of 7.5%.

Election officials can build public trust in procedures and results—even among suspicious voters who fear partisan manipulation—by creating videos that factually explain their security safeguards in simple terms. These are the findings of studies co-authored by a UC Riverside scholar, offering strategies for election officials to respond to false claims and conspiracy theories about election fraud and security, as well as suspicions that arise when mail-in ballot counting delays results.