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1. Autogestión and water sharing networks in Puerto Rico after Hurricane María

   https://doi.org/10.1080/02508060.2021.1960103  

   Roque, Anais; Wutich, Amber; Brewis, Alexandra; Beresford, Melissa; García-Quijano, Carlos; Lloréns, Hilda; Jepson, Wendy (August 2021, Water International)
2. Fine-grained Policy-driven I/O Sharing for Burst Buffers

   https://doi.org/10.1145/3581784.3607041  

   Karrels, Ed; Huang, Lei; Kan, Yuhong; Arora, Ishank; Wang, Yinzhi; Katz, Daniel S.; Gropp, William; Zhang, Zhao (November 2023, ACM)

   A burst buffer is a common method to bridge the performance gap between the I/O needs of modern supercomputing applications and the performance of the shared file system on large-scale supercomputers. However, existing I/O sharing methods require resource isolation, offline profiling, or repeated execution that significantly limit the utilization and applicability of these systems. Here we present ThemisIO, a policy-driven I/O sharing framework for a remote-shared burst buffer: a dedicated group of I/O nodes, each with a local storage device. ThemisIO preserves high utilization by implementing opportunity fairness so that it can reallocate unused I/O resources to other applications. ThemisIO accurately and efficiently allocates I/O cycles among applications, purely based on real-time I/O behavior without requiring user-supplied information or offline-profiled application characteristics. ThemisIO supports a variety of fair sharing policies, such as user-fair, size-fair, as well as composite policies, e.g., group-then-user-fair. All these features are enabled by its statistical token design. ThemisIO can alter the execution order of incoming I/O requests based on assigned tokens to precisely balance I/O cycles between applications via time slicing, thereby enforcing processing isolation. Experiments using I/O benchmarks show that ThemisIO sustains 13.5--13.7% higher I/O throughput and 19.5--40.4% lower performance variation than existing algorithms. For real applications, ThemisIO significantly reduces the slowdown by 59.1--99.8% caused by I/O interference. 

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3. Repeated Successful Nest Sharing and Cooperation Between Western Kingbirds ( Tyrannus verticalis ) and a Female Western Kingbird × Scissor‐Tailed Flycatcher ( T. forficatus ) Hybrid

   https://doi.org/10.1002/ece3.70818  

   Worm, Alexander J; Donahue, Emily R; Boves, Than J; Sweet, Andrew D (January 2025, Ecology and Evolution)

   ABSTRACT Nest sharing by birds, or the phenomenon where multiple individuals of different species contribute genetically and parentally to offspring in a single nest, is a rare form of cooperative breeding that has only occasionally been reported in socially monogamous birds. Here we describe, both behaviorally and genetically, the unique case of two female birds, a western kingbird (Tyrannus verticalis) and a western kingbird × scissor‐tailed flycatcher (T. forficatus) hybrid, simultaneously occupying (and likely co‐incubating eggs in) a single nest. Both females provisioned nestlings, and they did this in two consecutive years (producing four fledglings each year). Genomic data from the females revealed that they were unrelated, and parentage analyses revealed that both females contributed genetically to at least one of the offspring, and at least two fathers were involved. These observations represent the first reported case of nest sharing involving a hybrid individual and the first case within the family Tyrannidae. 

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4. "I Had Sort of a Sense that I Was Always Being Watched...Since I Was": Examining Interpersonal Discomfort From Continuous Location-Sharing Applications

   https://doi.org/10.1145/3658644.3690342  

   Childs, Kevin; Gibson, Cassidy; Crowder, Anna; Warren, Kevin; Stillman, Carson; Redmiles, Elissa M; Jain, Eakta; Traynor, Patrick; Butler, Kevin_R B (December 2024, ACM)
5. Your Photo is so Funny that I don’t Mind Violating Your Privacy by Sharing it: Effects of Individual Humor Styles on Online Photo-sharing Behaviors

   Hasan, Rakibul; Bertenthal, Bennett I.; Hugenberg, Kurt; Kapadia, Apu (May 2021, In Proceedings of the ACM SIGCHI Conference on Human Factors in Computing Systems (CHI '21))

   null (Ed.)

   We investigate how people’s ‘humor style’ relates to their online photo-sharing behaviors and reactions to ‘privacy primes’. In an online experiment, we queried 437 participants about their humor style, likelihood to share photo-memes, and history of sharing others’ photos. In two treatment conditions, participants were either primed to imagine themselves as the photo-subjects or to consider the photo-subjects’ privacy before sharing memes. We found that participants who frequently use aggressive and self-deprecating humor were more likely to violate others’ privacy by sharing photos. We also replicated the interventions’ paradoxical effects – increasing sharing likelihood – as reported in earlier work and identified the subgroups that demonstrated this behavior through interaction analyses. When primed to consider the subjects’ privacy, only humor deniers (participants who use humor infrequently) demonstrated increased sharing. In contrast, when imagining themselves as the photo-subjects, humor deniers, unlike other participants, did not increase the sharing of photos. 

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