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1. Vernacular Visualization Practices in a Citizen Science Project

   https://doi.org/10.1145/2998181.2998239  

   Snyder, Jaime (January 2017, CSCW 2017)

   Vernacular visualizations are visual representations of information created by and for non-expert users, in contrast to those developed by experts for specialized audiences. Research looking at everyday design practices and the democratization of innovation indicates that deeper understanding of non-expert design practices has a positive impact on technology development. This qualitative study focuses on the creation, use and dissemination of vernacular visualizations in a citizen science project. Findings from this research (1) map visualization practices in an established citizen science project, (2) contribute to theoretical understanding of the ways in which vernacular visualization practices support data-rich collaborative and coordinated work, and (3) suggest ways in which visualizations and visual resources can be evaluated in terms of their abilities to enrich coordination and communication in these contexts. 

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2. Fluorescent materials-based information storage

   https://doi.org/10.1039/c9qm00607a  

   Wang, Hu; Ji, Xiaofan; Page, Zachariah A.; Sessler, Jonathan L. (April 2020, Materials Chemistry Frontiers)

   The third industrial revolution has brought mankind into the information age. The development of information storage materials has played a key role in this transformation. Such materials have seen use in many application areas, including computing, logistics, and medicine. Information storage materials run the gamut from magnetic information storage media to molecular-based information storage materials. Among these, fluorescent-based information storage materials are of particular interest due to their unique properties, including an ability to store information with high levels of security, maintain mechanical stability, and respond to appropriately chosen external stimuli. In this review, we focus on recent advances involving the preparation and study of fluorescent materials-based information storage codes. For organisational purposes, these codes are treated according to the dimensionality of the code system in question, namely 1D-, 2D-, and 3D-type codes. The present review is designed to provide a succinct summary of what has been accomplished in the area, while outlining existing challenges and noting directions for future development. 

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3. A hybrid model for post-earthquake performance assessments in challenging contexts

   https://doi.org/10.1007/s10518-024-01927-8  

   Kijewski-Correa, Tracy; Canales, Eric; Hamburger, Rachel; Lochhead, Meredith; Mbabazi, Angelique; Presuma, Lamarre (May 2024, Bulletin of Earthquake Engineering)

   Abstract Disasters provide an invaluable opportunity to evaluate contemporary design standards and construction practices; these evaluations have historically relied upon experts, which inherently limited the speed, scope and coverage of post-disaster reconnaissance. However, hybrid assessments that localize data collection and engage remote expertise offer a promising alternative, particularly in challenging contexts. This paper describes a multi-phase hybrid assessment conducting rapid assessments with wide coverage followed by detailed assessments of specific building subclasses following the 2021 M7.2 earthquake in Haiti, where security issues limited international participation. The rapid assessment classified and assigned global damage ratings to over 12,500 buildings using over 40 non-expert local data collectors to feed imagery to dozens of remote engineers. A detailed assessment protocol then conducted component-level evaluations of over 200 homes employing enhanced vernacular construction, identified via machine learning from nearly 40,000 acquired images. A second mobile application guided local data collectors through a systematic forensic documentation of 30 of these homes, providing remote engineers with essential implementation details. In total, this hybrid assessment underscored that performance in the 2021 earthquake fundamentally depended upon the type and consistency of the bracing scheme. The developed assessment tools and mobile apps have been shared as a demonstration of how a hybrid approach can be used for rapid and detailed assessments following major earthquakes in challenging contexts. More importantly, the open datasets generated continue to inform efforts to promote greater use of enhanced vernacular architecture as a multi-hazard resilient typology that can deliver life-safety in low-income countries. 

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4. CRISP: Curriculum based Sequential neural decoders for Polar code family

   Hebbar, S.A.; Nadkarni, V.V.; Makkuva, A.V.; Bhat, S.; Oh, S.; Viswanath, P.. (July 2023, Proceedings of the 40th International Conference on Machine Learning)

   Polar codes are widely used state-of-the-art codes for reliable communication that have recently been included in the 5th generation wireless standards (5G). However, there still remains room for design of polar decoders that are both efficient and reliable in the short blocklength regime. Motivated by recent successes of data-driven channel decoders, we introduce a novel 𝐂ur𝐑𝐈culum based 𝐒equential neural decoder for 𝐏olar codes (CRISP). We design a principled curriculum, guided by information-theoretic insights, to train CRISP and show that it outperforms the successive-cancellation (SC) decoder and attains near-optimal reliability performance on the Polar(32,16) and Polar(64,22) codes. The choice of the proposed curriculum is critical in achieving the accuracy gains of CRISP, as we show by comparing against other curricula. More notably, CRISP can be readily extended to Polarization-Adjusted-Convolutional (PAC) codes, where existing SC decoders are significantly less reliable. To the best of our knowledge, CRISP constructs the first data-driven decoder for PAC codes and attains near-optimal performance on the PAC(32,16) code. 

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5. Culturally Responsive Storytelling Across Content Areas Using American Indian Ledger Art and Physical Computing

   Dangol, Aasyushi; Chipps, Jake; Fasy, Brittany Terese; Hancock, Stacey; Jiang, Mengying; Rogowski, Aubrey; Searle, Kristin; Tofel-Grehl, Colby (June 2022, ASEE Annual Meeting NSF Grantees Poster Session)

   In July 2021, Computer Science (CS) standards were officially added as a subject area within the K-12 Montana content standards. However, due to a lack of professional development and pre-service preparation in CS, schools and teachers in Montana are underprepared to implement these standards. Montana is also a unique state, since American Indian education is mandated by the state constitution in what is known as the Indian Education for All Act. We are developing elementary and middle school units and teacher training materials that simultaneously address CS, Indian Education, and other Montana content standards. In this paper, we present a unit for fourth through sixth grades using a participatory design approach. Through physical computing, students create a visual narrative of their own stories inspired by ledger art, an American Indian art medium for recording lived experiences. We discuss the affordances and challenges of an integrated approach to CS teaching and learning in elementary and middle schools in Montana. 

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