ASTRAL PROJECTION: THEORIES OF METAPHOR, PHILOSOPHIES OF SCIENCE, AND THE ART O F SCIENTIFIC VISUALIZATION

This thesis provides an intellectual context for my work in computational scientific visualization for large-scale public outreach in venues such as digitaldome planetarium shows and high-definition public television documentaries. In my associated practicum, a DVD that provides video excerpts, 1 focus especially on work I have created with my Advanced Visualization Laboratory team at the National Center for Supercomputing Applications (Champaign, Illinois) from 2002-2007. 1 make three main contributions to knowledge within the field of computational scientific visualization. Firstly, I share the unique process 1 have pioneered for collaboratively producing and exhibiting this data-driven art when aimed at popular science education. The message of the art complements its means of production: Renaissance Team collaborations enact a cooperative paradigm of evolutionary sympathetic adaptation and co-creation. Secondly, 1 open up a positive, new space within computational scientific visualization's practice for artistic expression—especially in providing a theory of digi-epistemology that accounts for how this is possible given the limitations imposed by the demands of mapping numerical data and the computational models derived from them onto visual forms. I am concerned not only with liberating artists to enrich audience's aesthetic experiences of scientific visualization, to contribute their own vision, but also with conceiving of audiences as co-creators of the aesthetic significance of the work, to re-envision and re-circulate what they encounter there. Even more commonly than in the age of traditional media, on-line social computing and digital tools have empowered the public to capture and repurpose visual metaphors, circulating them within new contexts and telling new stories with them. Thirdly, I demonstrate the creative power of visaphors (see footnote, p. 1) to provide novel embodied experiences through my practicum as well as my thesis discussion. Specifically, I describe how the visaphors my Renaissance Teams and I create enrich the Environmentalist Story of Science, essentially promoting a counter-narrative to the Enlightenment Story of Science through articulating how humanity participates in an evolving universal consciousness through our embodied interaction and cooperative interdependence within nested, self-producing (autopoetic) systems, from the micro- to the macroscopic. This contemporary account of the natural world, its inter-related systems, and their dynamics may be understood as expressing a creative and generative energy—a kind of consciousness-that transcends the human yet also encompasses it

Computer-Supported Collaborative Production

This paper proposes the concept of collaborative production as a focus of concern within the general area of collaborative work. We position the concept with respect to McGrath's framework for small group dynamics and the more familiar collaboration processes of awareness, coordination, and communication (McGrath 1991). After reviewing research issues and computer-based support for these interacting aspects of collaboration, we turn to a discussion of implications for how to design improved support for collaborative production. We illustrate both the challenges of collaborative production and our design implications with a collaborative map-updating scenario drawn from the work domain of geographical information systems

Changing small group interaction through visual reflections of social behavior

Thesis (Ph. D.)--Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences, 2005.Leaf 141 blank.Includes bibliographical references (leaves 135-140).People collaborating in groups have potential to produce higher-quality output than individuals working alone, due to the pooling of resources, information, and skills. Yet social psychologists have determined that groups rarely harness this potential. This thesis proposes that technology in face-to-face settings can be used to address the social factors that have damaging influence on group decision-making processes. While there is much work in the area of collaborative software and groupware, this work differentiates itself with its specific aim to influence the way a group shares information without mediating the group's communication. By presenting visualizations to the group of individual levels of participation and turn-taking behavior, the technology aims to augment the group's communication ability, by making it more aware of imbalances. A series of dynamic displays positioned peripherally to a discussion were developed and used by a variety of groups during face-to-face meetings. Both observational and experimental results indicate that these displays influence individual participation levels and the process of information sharing used during a decision-making discussion. A display revealing real-time participation levels caused those at the highest levels of participation to decrease the amount they spoke. Viewing a visualization of previous turn-taking patterns caused those who spoke the least to increase the amount they spoke in a subsequent discussion; real-time feedback did not produce this change. Additionally, after reviewing their turn-taking patterns, groups altered their information-sharing strategies.(cont.) For groups that had poor sharing strategies on an initial task, this change improved their ability to share information related to the decision; for those who did not need intervention, feedback on turn-taking was not beneficial for their subsequent information sharing. The central finding of this research is that displays of social information, viewed during or after a meeting, bring about changes in a group's communication style, highlighting the potential for such displays to improve real-world decision-making.by Joan Morris DiMicco.Ph.D

Dynamics of online chat

Millions of people use online synchronous chat networks on a daily basis for work, play and education. Despite their widespread use, little is known about their user dynamics. For example, one does not know how many users are typically co-present and actively engaged in public interaction in the individual chat rooms of any of the numerous public Internet Relay Chat (IRC) networks found on the Internet; or what are the factors that constrain the boundaries of user activity inside those chat rooms. Failure to collect and present such data means there is a lack of a good understanding of the range of user interaction dynamics that large-scale chat technologies support. This dissertation addresses this gap in the research literature through a year-long field study of the user-dynamics of Austnet, a medium-sized IRC network (103 million messages sent to 7,180 publicly active chat-channels by 489,562 unique nicknames over a one-year period). Key results include: 1) the first rich quantitative description of a medium-sized chat network; 2) empirical evidence for user information-processing constraints to patterns of chat-channel engagement (maximum 40 posters and 600 public messages per chat-channel per 20-minute interval); 3) a short-term channel engagement model which highlights the extent to which immediate channel activity can be reliably predicted, and identifies the best predictor variables; 4) a model for the identification of factors that can be used to distinguish highly predictable channels from unpredictable channels; and 5) the first empirical study of how the Critical Mass theory can help in predicting the channels\u27 long-term chances of survival by looking at their initial starting conditions. Collectively, the results highlight how the knowledge of chat network dynamics can be used in making accurate predictions about the chat-channels\u27 levels of short-term activity, and long-term survivability. This is important because it can lead to improved designs of future synchronous chat technologies. Such designs would benefit both the users of the systems, by providing them real-time recommendations about where to find successful group discourse, and the managers of the systems, by providing them vital information about the health of their communities

A Virtual Laboratory for the Study of History and Cultural Dynamics

This article presents a Virtual Laboratory that enables the researcher to try hypothesis and confirm data analysis about different historical processes and cultural dynamics. This Virtual Cultural Laboratory (VCL) is developed using agent-based modeling technology. Individuals' tendencies and preferences as well as the behavior of cultural objects in the transformation of cultural information are taken into consideration. In addition, the effect of local interactions at different scales over time and space is visualized through the VCL interface. Information repositories, cultural items, borders, population size, individual' tendencies and other features are determined by the user. Finally, the researcher can also isolate specific factors whose effect on the global system might be of interest to the researcher. All the code can be found at http://projects.cultureplex.ca/Cultural Dynamics, Cultural Complexity, Multi-Agent Based Simulation, Netlogo, Virtual Laboratory

A methodology for gamifying of the educational process

Abstract—In this research study, the authors designed

AstroDance: Engaging Deaf and Hard-of-Hearing Students in Astrophysics via Multimedia Performances

The dynamics of gravitating astrophysical systems such as black holes and neutron stars are fascinatingly complex, offer some of nature\u27s most spectacular phenomena, and capture the public\u27s imagination in ways that few subjects can. Here, we describe AstroDance, a multi-media project to engage deaf and hard-of-hearing (DHH) students in astronomy and gravitational physics. AstroDance incorporates multiple means of representation of scientific concepts and was performed primarily for secondary and post-secondary audiences at ~20 venues in the northeastern US prior to the historic first detection of gravitational waves. As part of the AstroDance project, we surveyed ~1000 audience members roughly split evenly between hearing and DHH audience members. While both groups reported statistically equivalent high-rates of enjoyment of the performance, the DHH group reported an increase in how much they learned about science at a statistically significant rate compared to the hearing audience. Our findings suggest that multi-sensory approaches benefit both hearing and DHH audiences and enable accessible participation for broader groups

Remotely Close Associations: Openness to Experience and Semantic Memory Structure

Openness to experience—the enjoyment of novel experiences and ideas—has many connections to cognitive processes. People high in openness to experience, for example, tend to be more creative and have broader general knowledge than people low in openness to experience. In the current study, we use a network science approach to examine if the organization of semantic memory differs between high and low groups of openness to experience. A sample of 516 adults completed measures of openness to experience (from the NEO Five-Factor Inventory-3 and Big Five Aspect Scales) and a semantic verbal fluency task. Next, the sample was split into half to form high (n = 258) and low (n = 258) openness to experience groups. Semantic networks were then constructed on the basis of their verbal fluency responses. Our results revealed that the high openness to experience group's network was more interconnected, flexible, and had better local organization of associations than the low openness to experience group. We also found that the high openness to experience group generated more responses on average and provided more unique responses than the low openness to experience group. Taken together, our results indicate that openness to experience is related to semantic memory structure

Analysis of Global Banking Network

The outbreak of the Global Pandemic Covid-19 that spread terribly across various countries from the end of 2019, has severely altered people’s life and economy. Various reports across papers and news articles on how each government was managing the costs of vaccines, medical equipment, and necessities. The world saw shifts in stock markets, unemployment, the tourism industry completely coming to a standstill, and more. Has this Covid Pandemic which played a crucial role within geographical boundaries altered the financial transactions across countries on a higher level? With the help of the statistics available with the Bank of International Settlements, this project aims to analyze the cross-border lending pattern across countries. This can be analyzed with the help of Complex Network analysis. The network reflects the data where the nodes are the countries and bilateral links correspond to credit linkages. Using various topological network measures such as Degree, Strength, Clustering coefficient, and Polya Filter, we can analyze the financial interconnectedness and the possibility of change in network patterns during times of crisis such as Covid-19. This will help to find a correlation between this sudden worldwide crisis and the lending market among banks