Engineering

This Proceedings of a Workshop summarizes the presentations and discussions at the Workshop on the Implications of Convergence for How the National Center for Science and Engineering Statistics (NCSES) Measures the Science and Engineering Workforce, which was held virtually and livestreamed on October 22-23, 2020. The workshop was convened by the Committee on National Statistics to help NCSES, a division of the National Science Foundation, set an agenda to inform its methodological research and better measure and assess the implications of convergence for the science and engineering workforce and enterprise.

Based on 25 qualitative interviews with past and current STEM workers, including participants in a survey of the workforce by AEI in 2020. Women and minorities feel ill prepared and unsupported. Some mention regret for pursuing STEM. They face obstacles to entry during education and blockades to growth once in the field--including low access to STEM education, exposure to stereotypes, lack of mentors, exclusion from networking opportunities, and pressures to "code-switch." Meanwhile, workers in gender and racial majority groups experienced "ramps" into and upward in STEM--such as mentoring, access to networks, promotions, and training. To ensure continued access to sufficient levels of talent, STEM educators and employers should work to reduce barriers to education, training, and employment for women and minorities in STEM

The Impact of COVID-19 on the Careers of Women in Academic Sciences, Engineering, and Medicine identifies, names, and documents how the COVID-19 pandemic disrupted the careers of women in academic STEMM during the initial 9-month period since March 2020 and considers how these disruptions - both positive and negative - might shape future progress for women. This publication builds on the 2020 report Promising Practices for Addressing the Underrepresentation of Women in Science, Engineering, and Medicine to develop a comprehensive understanding of the nuanced ways these disruptions have manifested.

This title explores the advances engineers have made to better prepare for earthquakes and to minimize their damage. Clear text, compelling images, and helpful sidebars and infographics make this book an accessible and engaging read.

This book focuses on cases and studies of interest to mechanical engineers and industrial technicians. The considered applications in this volume are widely used in several industrial fields particularly in the automotive and aviation industries. Readers will understand the theory and techniques which are used in each application covered in each chapter.

This book examines four areas where risks are present: artificial intelligence (AI), the internet of things (IoT), government and malware. The authors channel their experience and research into an accessible body of knowledge for consideration by professionals. AI is introduced as a tool for healthcare, security and innovation. The advantages of using AI in new industries are highlighted in the context of recent developments in mechanical engineering, and a survey of AI software risks is presented focusing on well-publicized failures and US FDA regulatory guidelines.

This volume of the journal is collected from the papers that were presented at the 6th International Conference on Industrial Engineering (6th ICIE, 18-22 of May 2020). In the 2020 year, ICIE was held as a virtual conference due to the pandemic of COVID-19. The collected papers reflect the last results of scientific research and engineering decisions in the area of materials science and technologies of materials synthesis, production, and processing.

This book gives the reader a perspective as to the overall data analytics skill set, starting with a primer on statistics, and works toward the application of those methods. There are a variety of formulas and algorithms used in the data analytics process. These formulas can be plugged into whatever software application the reader uses to obtain the answer they need. There are several demonstrations of this process to provide straightforward instruction as to how to bring data analytics skills to your critical thinking. This book presents a variety of methods and techniques, as well as case studies, to enrich the knowledge of data analytics for project managers, systems engineers, and cybersecurity professionals. It separates the case studies so that each profession can practice some straightforward data analytics specific to their fields