Local Adaptation Without Work Intensification: Experimentalist Governance of Digital Technology for Mutually Beneficial Role Reconfiguration in Organizations by Kellogg, Katherine C

“…I extend the political science perspective of experimentalist governance to examine how a digital technology-focused, iterative collective action process of local experimentation followed by central revision can facilitate mutually beneficial role reconfiguration during digital technology introduction and integration. …”
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A Computational Framework for Zero Waste Structural Design by Steelman, Alexandra

“…Oftentimes, to satisfy these requirements, members are iteratively up-sized with the intention to alter them in order to fit within the geometry. …”
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Design and Performance of a Highly Mobile, Climbing, Wheeled, Soft-bodied Robot by LaRocca, Ava

“…Eight design parameters were further refined via iterative testing of the integrated vehicle variants in a controlled environment. …”
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Incentivizing COVID-19 vaccination among racial/ethnic minority adults in the United States: $209 per dose could convince the hesitant by Chen, Kevin, Wilson-Barthes, Marta, Harris, Jeffrey E., Galárraga, Omar

“…Contingent valuation questions assessed respondents’ willingness-to-accept (WTA) incentives for COVID-19 vaccination using random-starting-points and iterative incentive offers of $5 to $50 per dose. Ordered logistic regression models examined associations between respondent characteristics and WTA. …”
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Assisting Technology: Disability Expertise and Labor in Artificial Intelligence (AI) Data Work in China by Wu, Di

“…I show that the obscure and iterative nature of classifying contextless intentions and unclear sound generated by the virtual assistant system necessitates a constant workforce of data annotators, who have rich tacit knowledge, good institutional memory, and a strong working relationship with the developers. …”
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Towards Computational Design of Shape and Control for Rigid Robots by Xu, Jie

“…The underlying coupling of the hardware shape and the software control of a robot results in an enormous parameter space involving both discrete parameters (i.e., topology structure of the robot) and continuous parameters (i.e., morphological dimensions of each robot link, the control parameters), optimizing which traditionally requires significant amounts of expert knowledge from roboticists and many manual design iterations. Intending to automate the robot design process, computational robot design has attracted increasing attention from robotics, graphs, and artificial intelligence researchers. …”
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Leveraging microfluidic dielectrophoresis to distinguish compositional variations of lipopolysaccharide in E. coli by Wang, Qianru, Kim, Hyungseok, Halvorsen, Tiffany M., Chen, Sijie, Hayes, Christopher S., Buie, Cullen R.

“…Our results suggest that microfluidic electrokinetic platforms employing 3DiDEP can be a useful tool for isolating and selecting bacteria based on their LPS glycoforms. Future iterations of these platforms could be leveraged for rapid profiling of pathogens based on their surface LPS structural identity.…”
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Elucidating Concentration and Temperature-dependent Energy Limitations of a Novel Fluorinated-organosulfur Catholyte for Li Primary Batteries by Sevilla, Alejandro R.

“…Nonetheless, this study reveals key design parameters that can inform future iterations of the promising Li–NO₂-Ph-SF₅ primary battery.…”
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CreativeGAN: Editing Generative Adversarial Networks for Creative Design Synthesis by Heyrani Nobari, Amin, Rashad, Muhammad Fathy, Ahmed, Faez

“…These automated computational design methods can support human designers, who typically create designs by a time-consuming process of iteratively exploring ideas using experience and heuristics. …”
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Data-driven approaches for complex systems: leveraging machine learning, materials science, and manufacturing for new biomedical technologies by Verheyen, Connor Anthony

“…In Part 1, I develop custom software for high-resolution, multifactorial machine learning (ML) experiments. I iteratively apply this workflow to a set of diverse ML problems from the biomedical engineering (BME) domain to generate massive meta-datasets covering each phase of the hierarchical ML optimization and evaluation process. …”
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Koopman Operator Theory Applied to Lambert’s Problem with a Spectral Behavior Analysis by Pasiecznik, Julia

“…Traditional Lambert solvers often involve iterative methods that are computationally intensive, which may not be able to capture the nonlinearities of the dynamical systems accurately, and might have constraints in their applications. …”
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Predicting the Interaction Between Energy Saving Devices on Surface Ships by Uzoma, Jillian

“…The vortex generator designs were iterated many times to try to optimize their shape, size, spacing, and location. …”
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Redesigning diabetic foot risk assessment for amputation prevention in low-resource settings: Development of a purely mechanical plantar pressure evaluation device by Reddie, Madison

“…A prototype was used to solicit feedback from 20 healthcare providers in Kenya. A design iteration was conducted based on their feedback, and an updated prototype was fabricated. …”
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PLACEIFY: A data-driven framework for evaluation-by-analogy in early-stage urban analysis and design by Sanatani, Rohit Priyadarshi

“…Usability-tests involving urban designers and planners indicate that such a system has strong potential to serve as a valuable decision support tool, by providing relevant data at each iteration of an imagination-modification-evaluation cycle in design.…”
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Fostering Well-Being: Designing Technology to Improve the Psychological Well-being of Foster-Involved Youth by Kumar, Ila Krishna

“…In Phase 2, we built off these findings by prototyping and testing multiple peer-to-peer support app designs with 24 current and former foster-involved youth. Through this iterative process, we identified that a community-based, reflective check-in system might allow youth to give and receive most types of social support in a safe and comfortable environment. …”
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Stable Rank-Adaptive Dynamically Orthogonal Runge–Kutta Schemes by Charous, Aaron, Lermusiaux, Pierre F. J.

“…When approximating a higher-rank matrix, iterations converge linearly to the best low-rank approximation. …”
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The rheology of saltwater taffy by Chan, San To, Haward, Simon J., Fried, Eliot, McKinley, Gareth H.

“…Such self-similarity arises from the distribution of air bubbles and oil droplets in the taffy, where air is incorporated and oil is emulsified through an iterative folding process known as “taffy-pulling.” …”
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[mu]Jawstures : jaw-teeth microgestures for discreet hands-and-eyes-free mobile device interaction by Vega Gálvez, Tomás Alfonso.

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Development of a Student Operated Production Facility using Discrete Event Simulation and Continuous Improvement by Greene, Ethan Logan

“…A comprehensive characterization of the initial state of operations was conducted, revealing the existence of hidden factories and various types of waste. Strategic, iterative solutions were then formulated and implemented, driving significant improvements over time. …”
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Quantum Control Machine: The Limits of Control Flow in Quantum Programming by Yuan, Charles, Villanyi, Agnes, Carbin, Michael

“…Quantum algorithms for tasks such as factorization, search, and simulation rely on control flow such as branching and iteration that depends on the value of data in superposition. …”
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