Building a culture of support: The use of a social norms campaign to create a trauma-informed campus community.

In 2019, (Michigan State University) conducted a campus-wide climate survey on relationship violence and sexual misconduct (RVSM; the 'Know More' Survey), which revealed that many students, faculty, and staff did not know where to go for help or how to support survivors. Objective: The authors collaborated on the design and launch of the 'Support More' Campaign in 2021-2022, a trauma-informed social norms campaign created to educate the campus community on how to respond to disclosures of RVSM and how to access campus-based services. Methods: Undergraduate students, graduate/professional students, faculty, and staff (n = 10,993) completed another 'Know More' Survey in spring 2022. Results: Nearly one-half of respondents reported being very or somewhat aware of the 'Support More' campaign. Respondents who had utilized campaign materials found them helpful. Conclusions: Social norm campaigns can help campus communities become aware of RVSM services and how to support survivors.

A Decentralized Receiver in Gaussian Interference.

Bounds are developed on the maximum communications rate between a transmitter and a fusion node aided by a cluster of distributed receivers with limited resources for cooperation, all in the presence of an additive Gaussian interferer. The receivers cannot communicate with one another and can only convey processed versions of their observations to the fusion center through a Local Array Network (LAN) with limited total throughput. The effectiveness of each bound's approach for mitigating a strong interferer is assessed over a wide range of channels. It is seen that, if resources are shared effectively, even a simple quantize-and-forward strategy can mitigate an interferer 20 dB stronger than the signal in a diverse range of spatially Ricean channels. Monte-Carlo experiments for the bounds reveal that, while achievable rates are stable when varying the receiver's observed scattered-path to line-of-sight signal power, the receivers must adapt how they share resources in response to this change. The bounds analyzed are proven to be achievable and are seen to be tight with capacity when LAN resources are either ample or limited.