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1. Robust Machine Learning Algorithms and Systems for Detection and Mitigation of Adversarial Attacks and Anomalies: Proceedings of a Workshop

   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.)

   The National Academies of Sciences, Engineering, and Medicine convened a workshop on December 11–12, 2018, in Berkeley, California, to discuss robust machine learning algorithms and systems for the detection and mitigation of adversarial attacks and anomalies. This publication summarizes the presentations and discussions from the workshop. 

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2. Poly'19 Workshop Summary: GDPR

   https://doi.org/10.1145/3444831.3444842  

   Stonebraker, Michael; Mattson, Timothy; Kraska, Tim; Gadepally, Vijay (December 2020, ACM SIGMOD Record)

   Data privacy within the context of heterogenous data and data management systems continues to be an important issue. At the Poly?19 workshop, held in conjunction with VLDB 2019 in Los Angeles, CA, one of the major themes explored was the implication of data privacy regulations such as GDPR to systems composed of multiple heterogenous databases. This summary outlines some of the major approaches and directions presented by various presenters during the privacy portion of the Poly?19 workshop. 

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3. Workshop Report: C-Accel Track Recommendation: Ethical Design of AIs (EDAIs) Executive Summary

   Ashley, Kevin Ashley; Canavotto, Iliaria; Cristman, Jill; Danks, David; Hammond, Kristian; Horty, John; Pazzani, Michael; Raschid, Louiqa; Schiff, Daniel (February 2023, NSF Public Access Repository)

   Pazzani, Michael; Raschid, Louiqa (Ed.)

   A Workshop on the Ethical Design of AIs was convened in September and October 2022. Workshop participants hailed from a wide range of disciplines and application domains, and expressed interest in establishing partnerships across academia, industry, and government agencies, to address the challenges that were identified during the event. One of the outcomes of the workshop was a recommendation for a 2023 Convergence Accelerator Track on the Ethical Design of AIs (EDAIs). Suggested recommendations of themes and goals for the EDAIs Track include the following: (1) Human Centered Design methodologies around Values and Measures and Incentives. (2) Proto Ethical AIs: Algorithms or Systems or Pipelines across multiple domains. (3) Best Practices for the design of ethical AIs. (4) Workforce development and education and training. This report documents the activities of the EDAIs Workshop 

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4. Tanana Chiefs Conference Rural Digital Entrepreneurship Workshop (Complete Instruction Materials), Fairbanks, Alaska, November 15-19, 2021

   https://doi.org/10.18739/A2FJ29F1H  

   Kuhlke, Olaf; Pasch, Timothy (January 2022, NSF Arctic Data Center)

   This dataset includes the complete instructor materials for the Rural Digital Entrepreneurship Workshop delivered to Tanana Chiefs Conference (TCC) from November 15-19, 2021. The data set includes PDF files that will allow interested researchers and practitioners, including staff at TCC, to deliver an identical or similar workshop on rural digital entrepreneurship in the future. The workshop included three days of instruction (for which the files are provided), and two days of individualized work with participants as they work on pitching a digital business idea. The materials included here are anonymized, make no reference to participants and can also be imported into learning management systems. The workshop intent was to guide participants towards the development and completion of a business plan for a digital enterprise situated in rural Alaska. Editable versions of the files can be requested from the authors. 

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5. Challenges in Representing Manufacturing Processes for Systematic Sustainability Assessments: Workshop on June 21, 2018

   https://doi.org/10.1115/MSEC2019-3032  

   Shankar Raman, Arvind; Harper, Dustin; Haapala, Karl R.; Linke, Barbara S.; Bernstein, William Z.; Morris, KC (June 2019, Proceedings of the ASME 2019 14th International Manufacturing Science and Engineering Conference)

   Abstract A workshop on Challenges in Representing Manufacturing Processes for Systematic Sustainability Assessments, jointly sponsored by the U.S. National Science Foundation, the U.S. National Institute of Standards and Technology, ASTM International, the American Society of Mechanical Engineers, and the Society of Manufacturing Engineers, was held in College Station, Texas on June 21, 2018. The goals of the workshop were to identify research needs supporting manufacturing process characterization, define limitations in associated education practices, and emphasize on challenges to be pursued by the advanced manufacturing research community. An important aspect surrounded the introduction and development of reusable abstractions of manufacturing processes (RAMP), which are standard representations of unit manufacturing processes to support the development of metrics, methods, and tools for the analysis of manufacturing processes and systems. This paper reports on the workshop activities and findings, which span the improvement of engineering education, the understanding of process physics and the influence of novel materials and manufacturing processes on energy and environmental impacts, and approaches for optimization and decision-making in the design of manufacturing systems. A nominal group technique was used to identify metrics, methods, and tools critical to advanced manufacturing industry as well as highlight the associated research challenges and barriers. Workshop outcomes provide a number of research directions that can be pursued to address the identified challenges and barriers. 

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