3,017 research outputs found
Reframing museum epistemology for the information age: a discursive design approach to revealing complexity
This practice-based research inquiry examines the impact of an epistemic shift, brought about by the dawning of the information age and advances in networked communication technologies, on physical knowledge institutions - focusing on museums. The research charts adapting knowledge schemas used in museum knowledge organisation and discusses the potential for a new knowledge schema, the network, to establish a new epistemology for museums that reflects contemporary hyperlinked and networked knowledge. The research investigates the potential for networked and shared virtual reality spaces to reveal new ‘knowledge monuments’ reflecting the epistemic values of the network society and the space of flows.
The central practice for this thesis focuses on two main elements. The first is applying networks and visual complexity to reveal multi-linearity and adapting perspectives in relational knowledge networks. This concept was explored through two discursive design projects, the Museum Collection Engine, which uses data visualisation, cloud data, and image recognition within an immersive projection dome to create a dynamic and searchable museum collection that returns new and interlinking constellations of museum objects and knowledge. The second discursive design project was Shared Pasts: Decoding Complexity, an AR app with a unique ‘anti-personalisation’ recommendation system designed to reveal complex narratives around historic objects and places. The second element is folksonomy and co-design in developing new community-focused archives using the community's language to build the dataset and socially tagged metadata. This was tested by developing two discursive prototypes, Women Reclaiming AI and Sanctuary Stories
Tradition and Innovation in Construction Project Management
This book is a reprint of the Special Issue 'Tradition and Innovation in Construction Project Management' that was published in the journal Buildings
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Sonic heritage: listening to the past
History is so often told through objects, images and photographs, but the potential of sounds to reveal place and space is often neglected. Our research project ‘Sonic Palimpsest’1 explores the potential of sound to evoke impressions and new understandings of the past, to embrace the sonic as a tool to understand what was, in a way that can complement and add to our predominant visual understandings. Our work includes the expansion of the Oral History archives held at Chatham Dockyard to include women’s voices and experiences, and the creation of sonic works to engage the public with their heritage. Our research highlights the social and cultural value of oral history and field recordings in the transmission of knowledge to both researchers and the public. Together these recordings document how buildings and spaces within the dockyard were used and experienced by those who worked there. We can begin to understand the social and cultural roles of these buildings within the community, both past and present
A Framework for Site-Specific Spatial Audio Applications
As audio recording and reproduction technology has advanced over the past five decades, increasing attention has been paid to recreating the highly spatialised listening experience we understand from our physical environment. This is the logical next step in the quest for increasing audio clarity, particularly as virtual reality gaming and augmented reality experiences become more widespread.
This study sought to develop and demonstrate a technical framework for the production of site-specific audio-based works that is user-friendly and cost effective. The system was intended to be used by existing content producers and audio programmers to work collaboratively with a range of site-based organisations such as museums and galleries to produce an audio augmentation of the physicality of the space.
This research was guided by four key aims:
1. Demonstrate a compositional method for immersive spatial audio that references the novel physical environment and the listener’s movement within it.
2. Describe a framework for the development and deployment of a spatial audio visitor technology system.
3. Prototype a naturalistic method for the delivery and navigation of contextual information via audio.
4. Deploy, demonstrate, and evaluate a spatial audio experience within a representative environment.
The resulting system makes use of a range of existing technologies to provide a development experience and output that meets a clearly defined set of criteria.
Furthermore, a case study application has been developed that demonstrates the use of the system to augment a selection of six paintings in a gallery space. For each of these paintings, a creative spatial composition was produced that demonstrates the principles of spatial composition discussed in this thesis. A spoken informational layer sits on top of this acting as a museum audio guide, featuring navigation using head gestures for a hands-free experience. This thesis presents a detailed discussion of the artistic intentions and techniques employed in the production of the six soundscapes, as well as an evaluation of the resulting application in use in a public gallery space
New Computational Methods for Automated Large-Scale Archaeological Site Detection
Aquesta tesi doctoral presenta una sèrie d'enfocaments, fluxos de treball i models innovadors en el camp de l'arqueologia computacional per a la detecció automatitzada a gran escala de jaciments arqueològics. S'introdueixen nous conceptes, enfocaments i estratègies, com ara lidar multitemporal, aprenentatge automà tic hÃbrid, refinament, curriculum learning i blob analysis; aixà com diferents mètodes d'augment de dades aplicats per primera vegada en el camp de l'arqueologia. S'utilitzen múltiples fonts, com ara imatges de satèl·lits multiespectrals, fotografies RGB de plataformes VANT, mapes històrics i diverses combinacions de sensors, dades i fonts. Els mètodes creats durant el desenvolupament d'aquest doctorat s'han avaluat en projectes en curs: Urbanització a Hispà nia i la Gà l·lia Mediterrà nia en el primer mil·lenni aC, detecció de monticles funeraris utilitzant algorismes d'aprenentatge automà tic al nord-oest de la PenÃnsula Ibèrica, prospecció arqueològica intel·ligent basada en drons (DIASur), i cartografiat del patrimoni arqueològic al sud d'Àsia (MAHSA), per a la qual s'han dissenyat fluxos de treball adaptats als reptes especÃfics del projecte. Aquests nous mètodes han aconseguit proporcionar solucions als problemes comuns d'estudis arqueològics presents en estudis similars, com la baixa precisió en detecció i les poques dades d'entrenament. Els mètodes validats i presentats com a part de la tesi doctoral s'han publicat en accés obert amb el codi disponible perquè puguin implementar-se en altres estudis arqueològics.Esta tesis doctoral presenta una serie de enfoques, flujos de trabajo y modelos innovadores en el campo de la arqueologÃa computacional para la detección automatizada a gran escala de yacimientos arqueológicos. Se introducen nuevos conceptos, enfoques y estrategias, como lidar multitemporal, aprendizaje automático hÃbrido, refinamiento, curriculum learning y blob analysis; asà como diferentes métodos de aumento de datos aplicados por primera vez en el campo de la arqueologÃa. Se utilizan múltiples fuentes, como lidar, imágenes satelitales multiespectrales, fotografÃas RGB de plataformas VANT, mapas históricos y varias combinaciones de sensores, datos y fuentes. Los métodos creados durante el desarrollo de este doctorado han sido evaluados en proyectos en curso: Urbanización en Iberia y la Galia Mediterránea en el Primer Milenio a. C., Detección de túmulos mediante algoritmos de aprendizaje automático en el Noroeste de la PenÃnsula Ibérica, Prospección Arqueológica Inteligente basada en Drones (DIASur), y cartografiado del Patrimonio del Sur de Asia (MAHSA), para los que se han diseñado flujos de trabajo adaptados a los retos especÃficos del proyecto. Estos nuevos métodos han logrado proporcionar soluciones a problemas comunes de la prospección arqueológica presentes en estudios similares, como la baja precisión en detección y los pocos datos de entrenamiento. Los métodos validados y presentados como parte de la tesis doctoral se han publicado en acceso abierto con su código disponible para que puedan implementarse en otros estudios arqueológicos.This doctoral thesis presents a series of innovative approaches, workflows and models in the field of computational archaeology for the automated large-scale detection of archaeological sites. New concepts, approaches and strategies are introduced such as multitemporal lidar, hybrid machine learning, refinement, curriculum learning and blob analysis; as well as different data augmentation methods applied for the first time in the field of archaeology. Multiple sources are used, such as lidar, multispectral satellite imagery, RGB photographs from UAV platform, historical maps, and several combinations of sensors, data, and sources. The methods created during the development of this PhD have been evaluated in ongoing projects: Urbanization in Iberia and Mediterranean Gaul in the First Millennium BC, Detection of burial mounds using machine learning algorithms in the Northwest of the Iberian Peninsula, Drone-based Intelligent Archaeological Survey (DIASur), and Mapping Archaeological Heritage in South Asia (MAHSA), for which workflows adapted to the project’ s specific challenges have been designed. These new methods have managed to provide solutions to common archaeological survey problems, presented in similar large-scale site detection studies, such as the low precision in previous detection studies and how to handle problems with few training data. The validated approaches for site detection presented as part of the PhD have been published as open access papers with freely available code so can be implemented in other archaeological studies
2023-2024 academic bulletin & course catalog
University of South Carolina Aiken publishes a catalog with information about the university, student life, undergraduate and graduate academic programs, and faculty and staff listings
2023-2024 Undergraduate Catalog
2023-2024 undergraduate catalog for Morehead State University
Outdata-ed museums: creating ethical and transparent data collection processes in museums
UK museums are contradictory sites of education and community outreach, and emblems of colonial legacy and elitism. Physical and socioeconomic barriers prevent meaningful engagement for audiences, but particularly marginalised peoples. To identify and overcome these barriers, museums and cultural institutions are seeking technological solutions that capture and analyse personal data. However, current legislation and attitudes towards personal data also risk perpetuating exclusionary barriers. Many governments and organisations use personal data to suppress, undermine, and violently target minoritised or marginalised communities whilst upholding the status quo that marginalised them in the first place. This inequality is further entrenched by the powerlessness most people feel in the face of how data is collected and used on a day-to-day basis.
Drawing on Human Computer Interaction, Human Geography and New Museology, this PhD thesis seeks a solution to these concerns that empowers museums to safely collect the data they need whilst enabling audiences to become active in their own data curation. Using co-creative principles, input is sought from museums and audiences to answer three questions:
• How are discourses and practices surrounding personal data negotiated, defined, perpetuated, and resisted in museums?
• What is the value of personal data to museums and audiences?
• Can mutually beneficial and transparent data exchange foster meaningful, long-term relationships between museums and audiences?
To address these questions, a novel theoretical framework that explores museums as place, technology as mediator, and relational personal data through a lens of power is generated. Four sequential studies are then conducted utilising a post-structural feminist epistemology. The first study presents a content analysis of privacy policies to explore what data museums typically collect and how that information is conceptualised and shared with audiences, showing that museums collect a broad range of quantitative data but inadequately express to audiences what, how, or why. The second study presents a workshop with museum staff to determine what data would benefit the museum and what prevents it from being captured. It shows that museums seek qualitative, behavioural data but are limited by resource constraints. The third study uses workshop style activities to ask audiences to conceptualise the value of their desirable data and speculate different ways for their data to be used in the museum. The study highlights barriers to data engagement including fatigue and lack of understanding, and shows trust and transparency to be key motivators in data sharing. The fourth study uses a novel methodology to speculate a data-enabled museum visit, from which a technology probe called ‘MuNa’ is developed and tested in a virtual museum visit with real audiences. Evaluation shows how transparency and trust can be synchronously developed through meaningful engagement with data. This is shown to increase the engagement of audiences with both museum and data, fostering long-term, meaningful relationships between venue and visitor and the creation of data subjects able to advocate for their own data rights.
The implications of this research reach across each of its disciplines and into the everyday practices of cultural organisations and audiences. Contributing novel paradigms of understanding surrounding the museum visit experience including different stakeholder perspectives addressing museums, technology, and personal data, the thesis presents evidence of an equitable and sustainable, data-enabled future
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