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Abstract We investigate the occurrence patterns of SSEs along the shallow (15 km) portion of the Hikurangi subduction zone. First, we build a manual catalog constraining timing and length of 92 SSEs between 2006 and 2024. Then, we investigate SSE occurrence patterns by fitting a renewal process, using Bayesian inference to obtain the posterior distribution of model parameters. Our results show that SSE recurrence intervals vary along the Hikurangi margin; less frequent SSEs occur in the southern part of the margin. The periodicity of SSEs also changes along strike. SSEs in the northern part of the margin occur more regularly than those at the central part. Finally, we do not find conclusive evidence that 2016 7.8 Kaikōura earthquake had a lasting effect on SSE occurrence patterns. 

The SCEC CyberShake platform implements a repeatable scientific workflow to perform 3D physics-based probabilistic seismic hazard analysis (PSHA). Earlier this year we calculated CyberShake Study 24.8 for the San Francisco Bay Area. Study 24.8 includes both low-frequency and broadband PSHA models, calculated at 315 sites. This study required building a regional velocity model from existing 3D models, with a near-surface low-velocity taper and a minimum Vs of 400 m/s. Pegasus-WMS managed the execution of Study 24.8 for 45 days on the OLCF Frontier and TACC Frontera systems. 127 million seismograms and 34 billion intensity measures were produced and automatically transferred to SCEC storage. Study 24.8 used a HIP language implementation of the AWP-ODC wave propagation code on AMD-GPU Frontier nodes to produce strain Green tensors, which were convolved with event realizations to synthesize seismograms. Seismograms were processed to derive data products such as intensity measures, site-specific hazard curves and regional hazard maps. CyberShake combines 3D low-frequency deterministic (≤1 Hz) simulations with high-frequency calculations using stochastic modules from the Broadband Platform to produce results up to 25 Hz, with validation performed using historical events. New CyberShake data products from this study include vertical seismograms, vertical response spectra, and period-dependent significant durations. The presented results include comparisons of hazard estimates between Study 24.8, the previous CyberShake study for this region (18.8), and the NGA-West2 ground motion models (GMMs). We find that Study 24.8 shows overall lower hazard than 18.8, likely due to changes in rupture coherency, with the exception of a few regions: 24.8 shows higher hazard than both the GMMs and 18.8 at long periods in the Livermore area, due to deepening of the Livermore basin in the velocity model, as well as higher hazard east of San Pablo Bay and south of San Jose. At high frequencies, Study 24.8 hazard is lower than that of the GMMs, reflecting reduced variability in the stochastic components. We are also using CyberShake ground motion data to investigate the effects of preferred rupture directions on site-specific hazard. By default, PSHA hazard products assume all events on a given fault and magnitude are equally likely, but by varying these probabilities we can examine the effects of preferred rupture directions on given faults on CyberShake hazard estimates. 

This research study was conducted to pilot an out-of-school family science program for fifth- and sixth-grade Latina girls and their parents. Program goals included encouraging parents in supporting their Latina daughters in science, increasing the girls’ interest in science and increasing the families’ participation in science experiences together. The 41 families participated in a 7-week Saturday program on either rocketry or gardening. Each week, the parent–daughter dyads engaged in hands-on Family Problem-Based Learning activities together and then the parents and daughters met separately in Conversation Groups. To measure the impact of the program, surveys were administered to the parents and daughters separately at four points: pre-, mid-, post- and delayed-post (three months after the program). Parents reported increases over time for several aspects of their support for their daughters in science and also increases in frequency of science experiences with their daughters. The daughters reported increases over time in their science identity and their discussions with their parents about jobs in science. In addition, the examination of video-recordings of a subset of the parent–daughter interactions during the activities revealed that parental and daughter behaviors evolved over the course of the program. Implications for engaging parents in science education are discussed. 

   In West Virginia, the unemployment rate is 3.6% (2024) and the workforce participation rate is 55.1% (2024) suggesting 44.9% of work-eligible people are not participating in the workforce while another 3.6% are looking for work. We have identified attracting and retaining job-ready employees, inadequate communication and collaboration, and misperceptions among students and job seekers concerning the diverse career opportunities available in WV as challenges within the region. The ARC POWER grant project, “Building Connections to Grow Capacity: Breaking Down Regional Barriers in the STEM Workforce Pipeline” addresses these challenges and have proposed many opportunities to overcome these barriers making a connection between  industry, academics and educators, students and other jobseekers, and workforce entities to develop the STEM workforce in the service region of Fairmont State University (FSU) and Glenville State University (GSU) through a Regional Career Services and Workforce Development Collaborative. Several areas of the grant are likely of interest to educators in academia, including an emphasis on forming industry advisory boards to help build stronger relationships between academia and industry and also aid in refining curriculum and a focus on both student and industry engagement and instructor and industry engagement to create opportunities for job shadowing, internships and other opportunities between these groups.  This grant provides resources for fostering collaboration among people who might not normally interact, and this collaboration can produce an enormous impact on the STEM workforce in our region.