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Chicken is globally one of the most popular food animals. However, it is also one of the major reservoirs for foodborne pathogens, annually resulting in continued morbidity and mortality incidences worldwide. In an effort to reduce the threat of foodborne disease, the poultry industry has implemented a multifaceted antimicrobial program that incorporates not only chemical compounds, but also extensive amounts of water application and pathogen monitoring. Unfortunately, the pathogen detection methods currently used by the poultry industry lack speed, relying on microbiological plate methods and molecular detection systems that take time and lack precision. In many cases, the time to data acquisition can take 12 to 24 h. This is problematic if shorter-term answers are required which is becoming more likely as the public demand for chicken meat is only increasing, leading to new pressures to increase line speed. Therefore, new innovations in detection methods must occur to mitigate the risk of foodborne pathogens that could result from faster slaughter and processing speeds. Future technology will have 2 tracks: rapid methods that are meant to detect pathogens and indicator organisms within a few hours, and long-term methods that use microbiome mapping to evaluate sanitation and antimicrobial efficacy. Together, these methods will provide rapid, comprehensive data capable of being applied in both risk-assessment algorithms and used by management to safeguard the public.

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Worldwide, communities face disruptions driven by phenomena such as climate change and globalization. Socio-ecological resilience theorists have called for greater attention to the social dynamics that inform whether and how communities are reorganized and sustained in response to such challenges. Scholars increasingly stress that social heterogeneities provide resources that communities can mobilize to adapt and sustain themselves in response to disruptions. Utilizing the sociological literature that emphasizes that social solidarities and collective identities are centrally important to community responses to socio-ecological disruptions, we argue that solidarities grounded in collective identities can act as important mediators between social heterogeneity and resilience. Drawing on qualitative data from rural communities in the central United States and southwestern Uruguay, we explore how group solidarity enabled individuals to more effectively draw on their diverse knowledges, skills, and resources to sustain their communities. Linked by a collective identity grounded in rurality, in each setting, individuals effectively worked together to adapt to emerging socio-ecological disruptions. These results suggest that we can better understand how social heterogeneities inform resilience by considering how solidarities grounded in collective identities influence whether and how individuals can successfully cooperate to rearrange and sustain their communities. When working with rural communities, specifically, it will be especially important to account for solidarities and collective identities tied to rurality.