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This study delves into the professional trajectories of 20 women leaders Vice President (VP) and above in the U.S. Architecture, Engineering and Construction (AEC) sector. These accomplished women, carefully selected from Engineering News Record's (ENR's) Top 400 firms, shared their personal stories, discussing both triumphs and challenges influencing their journey to senior corporate positions. This collection of experiences provides valuable insights to identify the root causes of women's underrepresentation in the industry. Moreover, this investigation aims to create a career roadmap that supports early and mid-career women in their pursuit of success within AEC. Success factors contributing to these women's rise include a supportive partner, receiving early mentoring and possessing a genuine passion for their projects. Companies seeking to stand out and benefit from innovative outcomes that diversity offers should consider implementing diversity programs and fostering the growth of women throughout their careers. This may involve actively recruiting young women and providing funding for Science, Technology, Engineering and Math (STEM) programs and scholarships for pre-college girls. Identified initiatives hold the potential to increase the number of women entering the industry and reduce the rate of early departures, thus helping to close the workforce shortage gap in the construction sector. [ABSTRACT FROM AUTHOR]

Man-made disasters are often unexpected events that necessitate a comprehensive investigation to ascertain their cause. These investigations are critical for government agencies, insurance corporations, and other stakeholders. Social media platforms are a rich source of information, but the credibility and vast amount of data available make it challenging to extract useful evidence. Therefore, understanding the credibility of information from different groups of users on social media and its role in retrieving and filtering relevant sources is crucial. To illustrate the potential in this regard, this study examines the Notre Dame fire as a case study, analyzing tweets posted between April 15 and 25, 2019. Using a collection of lexicons, the study establishes a text-parsing and lexicon-based rule model to classify users' opinions regarding the causes of the fire incident. Then the study characterizes the distribution of opinions between verified and nonverified users and investigates the temporal dynamics of reactions from subsets of users commenting on the event. The findings suggest that opinions from verified users were consistent with official reports, which highlights the potential value of the shared knowledge of verified users in the early stages of disaster investigation. The study further suggests that disaster responders should consider opinions from nonverified users, as they may aid investigations by identifying potential causes and providing new directions. In conclusion, this paper explores the potential of utilizing social media data as a means of supporting engineering investigations and emphasizes the importance of developing robust methodologies from crowdsourcing opinions for engineering investigations in the context of man-made disasters. [ABSTRACT FROM AUTHOR]