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1. Enhancing Urban Sustainability with Data, Modeling, and Simulation: Proceedings of a Workshop

   https://doi.org/https://doi.org/10.17226/25480  

   National Academies of Sciences, Engineering ( January 2019 , Publications listing National Academy of Sciences National Academy of Engineering Institute of Medicine National Research Council)

   null (Ed.)

   On January 30-31, 2019 the Board on Mathematical Sciences and Analytics, in collaboration with the Board on Energy and Environmental Systems and the Computer Science and Telecommunications Board, convened a workshop in Washington, D.C. to explore the frontiers of mathematics and data science needs for sustainable urban communities. The workshop strengthened the emerging interdisciplinary network of practitioners, business leaders, government officials, nonprofit stakeholders, academics, and policy makers using data, modeling, and simulation for urban and community sustainability, and addressed common challenges that the community faces. Presentations highlighted urban sustainability research efforts and programs under way, including research into air quality, water management, waste disposal, and social equity and discussed promising urban sustainability research questions that improved use of big data, modeling, and simulation can help address. This publication summarizes the presentation and discussion of the workshop. 

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2. Report on the Marine Imaging Workshop 2022

   https://doi.org/10.3897/rio.10.e119782  

   Borremans, Catherine ; Durden, Jennifer ; Schoening, Timm ; Curtis, Emma ; Adams, Luther ; Branzan_Albu, Alexandra ; Arnaubec, Aurélien ; Ayata, Sakina-Dorothée ; Baburaj, Reshma ; Bassin, Corinne ; et al ( March 2024 , Research Ideas and Outcomes)

   Imaging is increasingly used to capture information on the marine environment thanks to the improvements in imaging equipment, devices for carrying cameras and data storage in recent years. In that context, biologists, geologists, computer specialists and end-users must gather to discuss the methods and procedures for optimising the quality and quantity of data collected from images. The 4^thMarine Imaging Workshop was organised from 3-6 October 2022 in Brest (France) in a hybrid mode. More than a hundred participants were welcomed in person and about 80 people attended the online sessions. The workshop was organised in a single plenary session of presentations followed by discussion sessions. These were based on dynamic polls and open questions that allowed recording of the imaging community’s current and future ideas. In addition, a whole day was dedicated to practical sessions on image analysis, data standardisation and communication tools. The format of this edition allowed the participation of a wider community, including lower-income countries, early career scientists, all working on laboratory, benthic and pelagic imaging.

   This article summarises the topics addressed during the workshop, particularly the outcomes of the discussion sessions for future reference and to make the workshop results available to the open public.

    

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3. Data‐driven glass/ceramic science research: Insights from the glass and ceramic and data science/informatics communities

   https://doi.org/10.1111/jace.16677  

   De_Guire, Eileen ; Bartolo, Laura ; Brindle, Ross ; Devanathan, Ram ; Dickey, Elizabeth_C ; Fessler, Justin ; French, Roger_H ; Fotheringham, Ulrich ; Harmer, Martin ; Lara‐Curzio, Edgar ; et al ( July 2019 , Journal of the American Ceramic Society)

   Data‐driven science and technology have helped achieve meaningful technological advancements in areas such as materials/drug discovery and health care, but efforts to apply high‐end data science algorithms to the areas of glass and ceramics are still limited. Many glass and ceramic researchers are interested in enhancing their work by using more data and data analytics to develop better functional materials more efficiently. Simultaneously, the data science community is looking for a way to access materials data resources to test and validate their advanced computational learning algorithms. To address this issue, The American Ceramic Society (ACerS) convened a Glass and Ceramic Data Science Workshop in February 2018, sponsored by the National Institute for Standards and Technology (NIST) Advanced Manufacturing Technologies (AMTech) program. The workshop brought together a select group of leaders in the data science, informatics, and glass and ceramics communities, ACerS, and Nexight Group to identify the greatest opportunities and mechanisms for facilitating increased collaboration and coordination between these communities. This article summarizes workshop discussions about the current challenges that limit interactions and collaboration between the glass and ceramic and data science communities, opportunities for a coordinated approach that leverages existing knowledge in both communities, and a clear path toward the enhanced use of data science technologies for functional glass and ceramic research and development.

    

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4. Training communities in documentation and technology: The Language Documentation Training Center model

   Sou, Jennifer ; Pappas, Leah ; Khairunnisa ; Holton, Gary ( August 2023 , Language documentation and conservation)

   Language documentation is increasingly seen as a collaborative process, engaging community members as active participants. Collaborative research produces better documentation that is valuable for both the academic community and the speakers. However, in many communities, speakers and language advocates lack the skills necessary to fully engage in collaborative projects. One way to overcome this barrier is to provide language documentation training to community members. Such training should teach participants how to ethically and comprehensively complete every stage of the documentation process while offering opportunity for theoretical discussion and practical application. In this paper, we offer one possible model for community-based training in language documentation and conservation that focuses on bidirectional learning and capacity building. We describe a training workshop that was held in 2018 in Kupang, the capital of Indonesia’s Nusa Tenggara Timur (NTT) province. A collaboration between the University of Hawai‘i, Leiden University, and Artha Wacana Christian University, this workshop implemented a model based on the practices of the Language Documentation Training Center (LDTC), an organization devoted to training speakers to document their own languages. We detail the NTT workshop itself, summarize post-workshop feedback, and offer suggestions to others looking to provide similar training in speaker communities. 

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5. Training Early Career Great Lakes Scientists for Effective Engagement and Impact

   Hunnell, J. ; Triezenberg, H. ; Doberneck, D. ( October 2020 , Journal of contemporary water research education)

   null (Ed.)

   Freshwater systems worldwide are increasingly facing complex environmental issues. In the Laurentian Great Lakes region, harmful algal blooms are one example spanning agriculture, municipal drinking water, science and monitoring, water quality, and human health. Addressing these challenges and working across stakeholder interests requires sound science and additional skills that are not necessarily taught to graduate students in the apprentice research model. Effective stakeholder engagement and science communication are two areas consistent with emphases on broader impacts from the National Science Foundation, information and dissemination of the National Institutes of Health, and community engagement of the National Institutes of Health’s Institute of Environmental Health Sciences. The lack of training in these areas creates a gap for outreach, engagement, and science communication training to help enable researchers to translate important science to influential stakeholders, policy makers, and members of the public. To address this gap, we held a Community-Engaged Scholarship Workshop for graduate students and early career faculty. The workshop used an established community-engagement framework and was tailored to address the complex environmental issue of harmful algal blooms. It addressed four community-engagement competencies, including community-engaged partnerships, community-engaged teaching and learning, community-engaged research, and science communications. Here, we report evaluation results on changes in these four competencies and participant satisfaction. We conclude with a discussion of potential improvements and next steps for those seeking to host similar community-engaged trainings. 

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