A significant number of scientific projects pursuing large scale, complex investigations involve dispersed research teams, which conduct a large part or their work virtually. Virtual Research Environments (VREs), cyberinfrastructure that facilitates coordinated activities amongst dispersed scientists, thus provide a rich context to study organizational evolution. Due to the constantly evolving nature of technologies, it is important to understand how teams of scientists, system developers, and managers respond to critical incidents. Critical events are organizational situations that trigger strategic decision making to adjust structure or redirect processes in order to maintain balance or improve an already functioning system. This study examines two prominent VREs: The United States Virtual Astronomical Observatory (US-VAO) and the HathiTrust Research Center (HTRC) in order to understand how these environments evolve through critical events and strategic choices. Communication perspectives lend themselves well to a study of VRE development and evolution because of the central role occupied by communication technologies in both the functionality and management of VREs. Using the grounded theory approach, this study uses organizational reports to trace how critical events and their resulting strategic choices shape these organizations over time. The study also explores how disciplinary demands influence critical events.

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<p>Interdisciplinary education has been viewed as a way to give an edge to graduates in terms of developing creativity, innovation, ability to synthesize knowledge, and develop a range of professional skills (Haynes, 2017). However, the push towards interdisciplinarity as opposed to a disciplinary field is a challenge due to strong educational traditions, power dynamics, academic freedom, as well as the power faculty has to form their areas of research interest and disciplines (Ashby & Exter, 2019; Becher & Trowler, 2001; Klein, 2006). Likewise, the diversity of members of an interdisciplinary team can lead to negative forces that can only be overcome with open communication and understanding of both boundaries and ways to address them. This means that an interdisciplinary team may need to have a translator to help build common knowledge, facilitate engagement, and address tacit issues. Instructional designers have the potential to play a translator role. Rooted across the author’s three publications, the focus of this dissertation is to establish the vision for instructional designers getting a more proactive role on an interdisciplinary program design team (translator agency), where mediation of knowledge is needed across faculty to build a successful program. </p>

The advances in social media and social computing technologies have dramatically changed the way through which people interact, organize, and collaborate. The use of social media also makes the large-scale data revealing human behavior accessible to researchers and practitioners. The analysis and modeling of social networks formed from relatively stable online communities have been extensively studied. The research on the structural and dynamical patterns of large-scale crowds motivated by accomplishing common goals, named the cyber movement organizations (CMO) or cyber-enabled social movement organizations (CeSMO), however, is still limited to anecdotal case studies. This research is one of the first steps towards the understanding of the CMO/CeSMO based on real data collected from online social media.The focus of my research is on the study of an important type of CMO/CeSMO, the crowd-powered search behavior (also known as human flesh search, HFS), in which a large number of Web users voluntarily gathered together to find out the truth of an event or the information of a person that could not be identified by one single person or simple online searches. In this research, I have collected a comprehensive data-set of HFS. I first introduce the phenomenon of HFS and reviewed the study of online social groups/communities. Then, I present the empirical studies of both individual HFS episodes and aggregated HFS communities, and unveiled their unique topological properties. Based on the empirical findings, I propose two models to simulate evolution and topology of individual HFS networks. I conclude the dissertation with discussions of future research of CMO/CeSMO.

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