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AI and Data Democratisation for Intelligent Energy Management
2021
Energies
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However, things have started to change, owing to the increased adoption of data democratisation processes, and the capability offered by emerging technologies for data sharing while respecting privacy, ...
A data democratisation framework for intelligent energy management is presented. ...
Section 3 presents the Energies 2021, 14, 4341 3 of 14 growing importance of AI and data democratisation through different applications for insights-driven decisions. ...
doi:10.3390/en14144341
fatcat:ne6kxyobjna4hlwck4nyyrxrsm
Spatial data and technologies for geomonitoring of land use under aspect of mineral resource sector development
2020
Eurasian Mining
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The development of systems for the acquisition, processing and analysis of spatial data and technologies makes it possible to develop reliable models to support mining planning decisions and, in the future ...
for integrated dynamic models to enhance policy, planning and monitoring in the mining sector. ...
doi:10.17580/em.2020.01.14
fatcat:jowxjkxby5ahjeofvzuacbh5na
Platformisation in game development
2020
Internet Policy Review
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We contrast Unity's technologically deterministic claim of democratising videogame development with the community-driven practices of platformisation associated with Twine. ...
Jennifer Whitson argues that these promises are consonant with a "new spirit of capitalism" in the videogame industry, wherein democratised and data-driven design tools "promise access to autonomous and ...
doi:10.14763/2020.4.1515
fatcat:bmbp7fry6jbfpegl7grz3fmcny
Why have Anti-Offshore Tin Mining Movements Failed in Bangka but Succeeded in East Belitung? Political Opportunity Structures and Political Settlement in the Context of Indonesia's Democratic Future
2021
PCD Journal
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Civil society movements have occupied an important position in Indonesia's democratisation. ...
This article seeks to determine why anti-offshore tin mining movements in the post-authoritarian era failed in Bangka but succeeded in East Belitung, an area where tin mining has historically been important ...
The country's democratisation has resulted in the duplication of local predatory elites, who have co-opted democracy for their own purposes. ...
doi:10.22146/pcd.v8i2.1483
fatcat:ijemnvowpjfd3mdqhuqg3pkjhm
Data and agency
2015
Big Data & Society
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Building on these contributions, we conclude that as data acquire new power, it is vital to explore the space for citizen agency in relation to data structures and to examine the practices of data work ...
such data back to users, enabling them to orient themselves in the world. ...
Kennedy and Moss argue that together, these three ways of democratising data mining point us towards ways in which knowing rather than known publics might surface through alternative data arrangements. ...
doi:10.1177/2053951715621569
fatcat:nc4w7fkgfzdmrfvahjvlof2eka
Critical theory and contemporary paradigm differentiation
2017
Acta Commercii
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The principles of swarm intelligence are already in use across areas like data mining, electronic engineering, robotics and molecular biology (Yesodha & Amudha 2012) . ...
Critical theory of technology was considered an important perspective in that it incorporates the potential for the democratisation of science to hold research to account. ...
doi:10.4102/ac.v16i2.421
fatcat:p453newtm5b6rcjyelhelu5qni
Why democratise bioinformatics?
2016
BMJ Innovations
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Acknowledgements The authors are indebted to the staff of the AIMES Grid Service Providers . for the establishment of the UK pilot for cardioinformatics. ...
JCM is responsible for the overall content. Disclaimer The views expressed are those of the authors and not necessarily those of the NHS, the NIHR or the Department of Health. ...
sets mined from within the EHRs using big data tools rather than simply limiting the research model to data collection by individual groups. ...
doi:10.1136/bmjinnov-2016-000129
fatcat:jkmi24nt3fgypm37msqs5abzzq
Beyond Privacy: Protecting Data Interests in the Age of Artificial Intelligence
2021
Law, Technology and Humans
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Serious challenges are raised by the way in which technology companies like Facebook and Google harvest and process user data. ...
Companies in the modern data economy mine troves of data with sophisticated algorithms to produce valuable behavioural predictions. ...
I propose that users of technology platforms have a social interest in how their friends and family's data are mined for insights about them. ...
doi:10.5204/lthj.1595
fatcat:coi4hhb2gfclzos2j2b5ncoclq
Towards a global participatory platform
2012
The European Physical Journal Special Topics
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within the system, serving the functions of (i) sensing the environment in order to pool data, (ii) mining the resulting data for patterns in order to model the past/present/future, and (iii) sharing ...
The FuturICT project seeks to use the power of big data, analytic models grounded in complexity science, and the collective intelligence they yield for societal benefit. ...
Data protection technology needs to be developed in tandem with data mining techniques and Esocial science. ...
doi:10.1140/epjst/e2012-01690-3
fatcat:eqbwhblv3jeztjragvf4uuhb6i
How the Internet of Things changes everything: The next stage of the digital revolution
2014
Australian Journal of Telecommunications and the Digital Economy
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This tracking and storage of usage data for Internet of Things devices and applications enables the use of big data to mine the data and determine useful insights into consumer behaviour. ...
Users can be tempted to trade convenience for their data, as evidenced by the popularity of Facebook and its personal data fuelled revenue model. ...
doi:10.7790/ajtde.v2n4.69
fatcat:5bx24l4x7zbjfde6nw2bev3dje
The Aisles Have Eyes: How Retailers Track Your Shopping, Strip Your Privacy, and Define Your Power
2017
SCRIPTed: A Journal of Law, Technology & Society
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He is right -but I think Aldous Huxley's Brave New World captures the democratisation of convenience and desire for personalisation accurately. ...
Turow complements his analysis of these innovations with anecdotes from interviews; he also provides illustrations of the ideas shaping the retailing industry and concerns about the increasing role of data-driven ...
doi:10.2966/scrip.140217.381
fatcat:tasuytnthfdzhpdc37sz5amdlm
Citizen curation and NLP technologies for museums in the SPICE Project
[chapter]
2021
Zenodo
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In this paper, we will focus on the topic of multilinguality, connected with Natural Language Processing (NLP) and semantic technologies, and the case study located in the Turin Gallery of Modern Art ( ...
briefly present some aspects of the EU H2020 Research & Innovation project "SPICE - Social cohesion, Participation, and Inclusion through Cultural Engagement" (2020-2023), which aims to develop methods and technologies ...
and social media platforms in order to avoid a technologically driven fragmentation of contributions. ...
doi:10.5281/zenodo.4948082
fatcat:xakoaafr5ng6xfrvu7ne2kbb74
Assessment: What Drives Innovation?
2008
Journal of University Teaching and Learning Practice
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The developing discourse which moves assessment away from a measurement model towards one of learner empowerment and the development of assessment for lifelong learning sets the context for this paper. ...
Using data from a recent UK Higher Education Academy (HEA) funded literature review, we examined six different types of innovation in assessment. ...
The use of new technology in assessment was often driven by a review of established practice or the need to make use of new online learning environments or technology. ...
doi:10.53761/1.5.1.5
fatcat:ybchxva74jbexhnjlmnuqbjw6u
CREATIVITY FORWARD: A FRAMEWORK THAT INTEGRATES DATA ANALYSIS TECHNIQUES TO FOSTER CREATIVITY WITHIN THE CREATIVE PROCESS IN USER EXPERIENCE CONTEXTS
2021
Creativity Studies
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The proposed model: data-driven design model, enhances the exploratory design of problem space and assists in the creation of ideas during the conceptual design phase. ...
The latest technological advancements allow users to generate a large volume of data related to their experiences and needs. ...
New emerging data-driven models, including using data mining and machine learning, are therefore increasingly needed, according to the literature that increasingly examines them as enablers for product ...
doi:10.3846/cs.2021.12933
fatcat:3ur2ovppirhipniyjkizxu4jnq
Data Science for Engineers: A Teaching Ecosystem
[article]
2021
arXiv
pre-print
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We describe an ecosystem for teaching data science (DS) to engineers which blends theory, methods, and applications, developed at the Faculty of Physical and Mathematical Sciences, Universidad de Chile ...
The open challenges and future plans for our ecosystem are also discussed at the end of the article. ...
This work was supported by the following ANID grants: AFB170001 Center for Mathematical Modeling, AFB0008 Advanced Center of Electrical and Electronic Engineering, ICN17 002 Millennium Institute for Foundational ...
arXiv:2101.06119v1
fatcat:522bsf5vmjdfnj4kseje3lkvbi
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