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Landmark gift to prepare and support behavioral health treatment professionals
Penn State graduate Jonathan Wolf has come forward with a landmark gift to dramatically scale up the University’s resources for students studying to become addiction and recovery professionals.
McKnight foundation honors founding member of Oral Health Task Force
Paul Nelson has been awarded the 2025 Virginia McKnight Binger Heart of Community Honor for the Northeast Region. The award recognizes seven Minnesotans from across the state who demonstrate compassion and service in their communities. Each recipient receives $10,000 in recognition of their impact. The announcement was made on Monday, Nov. 24, 2025, by the...
Renewable energy is now more than ever a strategic business imperative
The global transition to renewable energy has fundamentally shifted from a moral obligation focused on mitigating climate change to a central pillar of economic strategy and national security.
New $6M center at CSU will expand state’s behavioral health workforce
Colorado State University has received a two-year, $6 million investment from the state to create a center that will expand Colorado’s behavioral health workforce.
Using network science to evaluate landslide hazards on Big Sur Coast, California, USA
Abstract. Landslides, ranging from slips to catastrophic failures, pose significant challenges for prediction. This study employs a physically inspired framework to assess landslide hazard at a regional scale (Big Sur Coast, California). Our approach integrates techniques from the study of complex systems with multivariate statistical analysis to identify areas prone to landslide hazards. We successfully apply a technique originally developed on the 2017 Mud Creek landslide and refine our statistical metrics to characterize landslide hazard within a larger geographical area. Our method is compared against factors such as landslide location, slope, displacement, precipitation, and InSAR coherence using multivariate statistical analysis. Our network analyses, which incorporates spatiotemporal dynamics, perform better as a monitoring technique than traditional methods. This approach has potential for real-time monitoring and evaluating landslide hazard across multiple sites.