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1. Organizational networks and sustainable urban water practices in US local governments

   https://doi.org/10.2166/wp.2021.191  

   Pivo, Gary ; Henry, Adam Douglas ; Berger, Lena ; Gomez-Fernandez, Edna Liliana ( December 2021 , Water Policy)

   Organizational networks are regarded as key in policy innovation for sustainable development. They are thought to enhance innovation through access to first-hand experience, enhanced trust within a community, and exposure to role models and competitors. Despite theoretical pertinence, organizational networks have not been studied as much as other drivers of innovation, such as organizational capacity, leadership, and the socio-political environment. This empirical study explores how networks affect the implementation of Sustainable Urban Water Management Practices (SUWM) at the local level. Using data from 110 local governments in five US regions, we examine the relationship between social interaction and the implementation of SUWM, and how this relationship depends on the types of interaction partners. Our findings show that local governments with larger organizational networks implement more SUWM practices. Collaboration with non-governmental organizations, particularly water sector associations, is strongly associated with an increase in use of SUWM practices. Overall, our findings suggest that creating and maintaining a robust organizational network of other government agencies and non-governmental organizations, especially water sector associations, increases the chances that a local government will implement more SUWM practices.

    

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2. Duty to Respond: The Challenges Social Service Providers Face When Charged with Keeping Youth Safe Online

   https://doi.org/10.1145/3567556  

   Caddle, Xavier V. ; Naher, Nurun ; Miller, Zachary P. ; Badillo-Urquiola, Karla ; Wisniewski, Pamela J. ( January 2023 , Proceedings of the ACM on Human-Computer Interaction)

   Social service providers play a vital role in the developmental outcomes of underprivileged youth as they transition into adulthood. Educators, mental health professionals, juvenile justice officers, and child welfare caseworkers often have first-hand knowledge of the trials uniquely faced by these vulnerable youth and are charged with mitigating harmful risks, such as mental health challenges, child abuse, drug use, and sex trafficking. Yet, less is known about whether or how social service providers assess and mitigate the online risk experiences of youth under their care. Therefore, as part of the National Science Foundation (NSF) I-Corps program, we conducted interviews with 37 social service providers (SSPs) who work with underprivileged youth to determine what (if any) online risks are most concerning to them given their role in youth protection, how they assess or become aware of these online risk experiences, and whether they see value in the possibility of using artificial intelligence (AI) as a potential solution for online risk detection. Overall, online sexual risks (e.g., sexual grooming and abuse) and cyberbullying were the most salient concern across all social service domains, especially when these experiences crossed the boundary between the digital and the physical worlds. Yet, SSPs had to rely heavily on youth self-reports to know whether and when online risks occurred, which required building a trusting relationship with youth; otherwise, SSPs became aware only after a formal investigation had been launched. Therefore, most SSPs found value in the potential for using AI as an early detection system and to monitor youth, but they were concerned that such a solution would not be feasible due to a lack of resources to adequately respond to online incidences, access to the necessary digital trace data (e.g., social media), context, and concerns about violating the trust relationships they built with youth. Thus, such automated risk detection systems should be designed and deployed with caution, as their implementation could cause youth to mistrust adults, thereby limiting the receipt of necessary guidance and support. We add to the bodies of research on adolescent online safety and the benefits and challenges of leveraging algorithmic systems in the public sector. 

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3. Digital Water and Its Impact on Sustainability

   Khaleel Muhammed and Aavudai Anandhi ( August 2022 , Journal of the ASABE)

   Special edition editors of ASABE's Resource Magazine Drs. Sahoo, Mehan. The article (Ed.)

   Digital water is an emerging research direction that involves using technology to manage water use. The digital water ecosystem is described by the International Water Association (IWA) as being composed of many stakeholders, including the public sector, peer groups, investors, industry associations, and academic institutions. In this brief article, we first describe the relationships among the aspects of digital water and then explain how digital water can be used to make water use more sustainable. Aspects of digital water 

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4. S4 Features and Artificial Intelligence for Designing a Robot against COVID-19—Robocov

   https://doi.org/10.3390/fi14010022  

   Ponce, Pedro ; Mata, Omar ; Perez, Esteban ; Lopez, Juan Roberto ; Molina, Arturo ; McDaniel, Troy ( January 2022 , Future Internet)

   Since the COVID-19 Pandemic began, there have been several efforts to create new technology to mitigate the impact of the COVID-19 Pandemic around the world. One of those efforts is to design a new task force, robots, to deal with fundamental goals such as public safety, clinical care, and continuity of work. However, those characteristics need new products based on features that create them more innovatively and creatively. Those products could be designed using the S4 concept (sensing, smart, sustainable, and social features) presented as a concept able to create a new generation of products. This paper presents a low-cost robot, Robocov, designed as a rapid response against the COVID-19 Pandemic at Tecnologico de Monterrey, Mexico, with implementations of artificial intelligence and the S4 concept for the design. Robocov can achieve numerous tasks using the S4 concept that provides flexibility in hardware and software. Thus, Robocov can impact positivity public safety, clinical care, continuity of work, quality of life, laboratory and supply chain automation, and non-hospital care. The mechanical structure and software development allow Robocov to complete support tasks effectively so Robocov can be integrated as a technological tool for achieving the new normality’s required conditions according to government regulations. Besides, the reconfiguration of the robot for moving from one task (robot for disinfecting) to another one (robot for detecting face masks) is an easy endeavor that only one operator could do. Robocov is a teleoperated system that transmits information by cameras and an ultrasonic sensor to the operator. In addition, pre-recorded paths can be executed autonomously. In terms of communication channels, Robocov includes a speaker and microphone. Moreover, a machine learning algorithm for detecting face masks and social distance is incorporated using a pre-trained model for the classification process. One of the most important contributions of this paper is to show how a reconfigurable robot can be designed under the S3 concept and integrate AI methodologies. Besides, it is important that this paper does not show specific details about each subsystem in the robot. 

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5. The need for agricultural productive uses in the national electrification plan of sub-Saharan African countries—a call to action for Ethiopia

   https://doi.org/10.1088/2634-4505/ac611e  

   Van-Hein Sackey, Charles ; Nock, Destenie ( May 2022 , Environmental Research: Infrastructure and Sustainability)

   Access to electricity is a crucial aspect of sub-Saharan Africa’s path towards development. In light of the potential for electricity access to improve quality of life, the United Nations aims to achieve universal access to ‘clean, reliable, affordable and modern’ electricity as Goal 7 of its Sustainable Development Goals (SDG 7). As such, governments of sub-Saharan African (SSA) countries, such as Ethiopia, have developed national electrification plans to outline their pathway to universal access to electricity. In this paper, we identify why it is essential for the national electrification plans of SSA countries to prioritize electricity access for productive uses in its agricultural sector, using Ethiopia as a case study. Reviewing existing literature and using the authors’ research, we point out that there is 3.04 terawatt-hours of latent demand for small-scale pressurized cereal-crop irrigation alone in Ethiopia. Supplying this electricity demand for small-scale irrigation could lead to a reduction in the levelized cost of electricity of up to 95%. We conclude our paper by recommending the creation of a cross-sector national productive use commission that would be tasked with collecting and sharing relevant data from each sector and collaboratively creating a national productive use program that would ensure that Ethiopia reaps the full benefits and potential for wealth creation from access to electricity.

    

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