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Report on the First International Workshop on Personal Data Analytics in the Internet of Things (PDA@IOT 2014)

Vassilis Christophides, Themis Palpanas
2015 SIGMOD record  
ACKNOWLEDGMENTS Special thanks go to Technicolor R&I Center (France) for their support in the organization of this workshop.  ...  project aiming at integrating, aggregating, and analyzing heterogeneous personal data streams to build a persona, and use it to recognize evolving personal situations.  ...  They stressed that the interrelation of such heterogeneous data sources opens new directions for providing a comprehensive picture related to health, thus triggering interventions by medical staff when  ... 
doi:10.1145/2783888.2783905 fatcat:7coqjhbnfng7thhi2ne2anofpq

Grand Challenges in Digital Health

Patty Kostkova
2015 Frontiers in Public Health  
In order to truly embrace these opportunities and transform healthcare and improve well-being, we need a new approach to science and health research.  ...  However, the successful development, integration and implementation of new technology and methods require a radical shift from traditional and single-disciplinary academic and clinical approaches.  ...  Personal and Population Data -To Share or Not to Share?  ... 
doi:10.3389/fpubh.2015.00134 pmid:26000272 pmcid:PMC4419711 fatcat:prl45bhbczbuvj4xid2v5wck2i

Learning from the COVID-19 pandemic in governing smart cities

Manuel Pedro Rodríguez Bolívar
2022 Journal of Smart Cities and Society  
The emergence of new technologies has the potential to redesign more robust governance models using Open Government mechanisms to be more effective in the fight again health pandemic and disaster management  ...  to achieve more collaborative and resilient smart cities.  ...  P20_00314 and B-SEJ-556-UGR20) and the Centre of Andalusian Studies (PR137/19).  ... 
doi:10.3233/scs-210118 fatcat:r6jutj6hf5e3hdhywpkn2wf3au

Quantified Flu: an individual-centered approach to gaining sickness-related insights from wearable data [article]

Bastian Greshake Tzovaras, Enric Senabre Hidalgo, Karolina Alexiou, Lukasz Baldy, Basile Morane, Ilona Bussod, Melvin Fribourg, Katarzyna Wac, Gary Wolf, Mad Ball
2021 medRxiv   pre-print
Objective: We explore how a co-creation process involving a heterogeneous community of personal science practitioners can develop a collective self-tracking system to monitor symptoms of infection alongside  ...  Conclusions: As shown by the high level of user engagement and iterative development, an open co-creation process can be successfully used to develop a tool that is tailored to individual needs, decreasing  ...  Acknowledgements The authors thank all participants of the Open Humans community calls and the Quantified Self and OpenCovid19 communities for their input and support.  ... 
doi:10.1101/2021.03.10.21252242 fatcat:tao3xamuujh5xmbpvy3ow22nha

Measuring School Contexts

Chandra L. Muller
2015 AERA Open  
Next, I discuss new approaches and opportunities for measurement, and special considerations related to diverse populations and youth development.  ...  I begin with an overview of the conceptual underpinnings related to measuring contexts, briefly describe the initiatives at the National Center for Education Statistics to measure school contexts, and  ...  data-and must still be acquired from self-reports.  ... 
doi:10.1177/2332858415613055 pmid:27158640 pmcid:PMC4857856 fatcat:p4jz4bve2rgzvosnv2qja6bvo4

Self-tracking cultures

Deborah Lupton
2014 Proceedings of the 26th Australian Computer-Human Interaction Conference on Designing Futures the Future of Design - OzCHI '14  
Contributors to this literature tend to take a cognitive or behavioural psychology approach to theorising and explaining selftracking.  ...  The discussion focuses on the following topics: self-optimisation and governing the self; entanglements of bodies and technologies; the valorisation of data; data doubles; and social inequalities and self-tracking  ...  on self-tracking and the design of future prototypes of self-tracking devices.  ... 
doi:10.1145/2686612.2686623 dblp:conf/ozchi/Lupton14 fatcat:5lnk5flyifculcc5lyvg5alxri

Review on Integrating Geospatial Big Datasets and Open Research Issues

Sohaib Al-Yadumi, Tan Ee Xion, Goh Wei Wei, Patrice Boursier
2021 IEEE Access  
For instance, risk management datasets related to healthcare and the environment are heterogeneous and disparate.  ...  A wide spectrum of GIS applications interacts with the continuous growth of geospatial big data sources to drive precise and informed decisions.  ...  Conventional approaches to data access, discovery and integration are revolutionized by linked data [10] .  ... 
doi:10.1109/access.2021.3051084 fatcat:5rm6koonszaafkom24tufnkamq

Quantified Bodies in the Checking Loop: Analyzing the Choreographies of Biomonitoring and Generating Big Data

Jaana Parviainen
2016 Human Technology: An Interdisciplinary Journal on Humans in ICT Environments  
Health informatics data as economic and political assets are illustrated based on netnography. Netnographic methodology pays close attention to online fieldwork and media texts.  ...  In applying phenomenology of the body, discussions of choreography, and Latour's actor-network theory, I seek to evolve a choreographybased approach that can outline feedback systems between embodied practices  ...  Self-tracking data bring to the foreground a new level of quantifiable health parameters that, in the long-run, could become new sources of health routines.  ... 
doi:10.17011/ht/urn.201605192620 fatcat:2vhqi65bdngf3a3pl4gpehlkiq

An Ecological Approach to Collaborative Knowledge Management in Small Professional Communities: Sustainable Information Practices for Sustainable Work [chapter]

Anne Lehmans
2015 Communications in Computer and Information Science  
Open data have special characteristics in the information economy, being heterogeneous, free (even if they have a production cost for the community), open and usable, but may have no cognitive value without  ...  A training device can include several types of abilities: tracking and collection, selection and evaluation, organization and recording (personal memories and shared work), implementation, rewriting, self-evaluation  ... 
doi:10.1007/978-3-319-28197-1_12 fatcat:ufkifzkxrndt3e3luvahk4esvm

Embodiment and Agency through Self-tracking Practices of People Living with Diabetes [chapter]

Giada Danesi, Mélody Pralong, Vincent Pidoux
2018 Metric Culture  
Rosa links resonance to the idea of the 'good life' itself and sees it as the antidote of accelerated modernity of which self-tracking is an example, according to him.  ...  and extend to the Quantified Self community as a whole through its knowledge-sharing activities.  ... 
doi:10.1108/978-1-78743-289-520181007 fatcat:bkvohndomjc2fbosazvzdc5r2q

Building portable middleware services for heterogeneous cyber-physical systems

Kirill Mechitov, Gul Agha
2012 2012 Third International Workshop on Software Engineering for Sensor Network Applications (SESENA)  
We demonstrate how adopting a service-oriented computing approach to WSN middleware services improves portability and enables the creation of heterogeneous sensor networks and cyber-physical systems.  ...  We propose breaking the tight integration between middleware services and the operating system.  ...  This research was conducted as part of the Illinois Structural Health Monitoring Project, led by Professor Gul Agha (Department of Computer Science) and Professor Bill Spencer (Department of Civil and  ... 
doi:10.1109/sesena.2012.6225732 dblp:conf/sesena/MechitovA12 fatcat:zb33msilnfe7zldb6kcwzv4vpm

Recommender systems for IoT enabled quantified-self applications

Seda Polat Erdeniz, Andreas Menychtas, Ilias Maglogiannis, Alexander Felfernig, Thi Ngoc Trang Tran
2019 Evolving Systems  
Virtual Coach works like a real fitness coach to recommend personalized work-out plans whereas Virtual Nurse considers the medical history and health targets of a user to recommend a suitable physical  ...  In this paper, we propose three new recommendation approaches for QS applications: Virtual Coach, Virtual Nurse, and Virtual Sleep Regulator which help QS users to improve their health conditions.  ...  distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were  ... 
doi:10.1007/s12530-019-09302-8 fatcat:4gtq3rnnbnfgtf6njd7kwiyh7e

Brain-CODE: A Secure Neuroinformatics Platform for Management, Federation, Sharing and Analysis of Multi-Dimensional Neuroscience Data

Anthony L. Vaccarino, Moyez Dharsee, Stephen Strother, Don Aldridge, Stephen R. Arnott, Brendan Behan, Costas Dafnas, Fan Dong, Kenneth Edgecombe, Rachad El-Badrawi, Khaled El-Emam, Tom Gee (+14 others)
2018 Frontiers in Neuroinformatics  
data types across several brain disorders, as a means to understand common underlying causes of brain dysfunction and develop novel approaches to treatment.  ...  and (3) interoperable and extensible systems that support harmonization, integration, and query across diverse data modalities and linkages to external data sources.  ...  AUTHOR CONTRIBUTIONS All authors contributed to the development of Brain-CODE and commented on/revised the manuscript at all stages.  ... 
doi:10.3389/fninf.2018.00028 pmid:29875648 pmcid:PMC5974337 fatcat:cy4pgx25gvezjmq37ibolvzrk4

Connected Health in Hypertension Management

Stefano Omboni
2019 Frontiers in Cardiovascular Medicine  
e-health is defined as the use of communication and information technologies (ICT) to manage patients and their health in a more efficient way, with the aim of improving the overall quality of care.  ...  These applications allow the exchange of medical data between patients and their doctors or among healthcare professionals, mainly through the Internet, and are used to provide healthcare services remotely  ...  and fitness data which can be exchanged between patients and healthcare professionals, hospitals, health insurances, etc. • Health data aggregator: tools to allow access to structured health data and  ... 
doi:10.3389/fcvm.2019.00076 pmid:31263703 pmcid:PMC6584810 fatcat:2itg4k3brrb2hk2vyxs7ncafjq

Why Big Data Won't Cure Us

Gina Neff
2013 Big Data  
Data-intensive approaches to medicine based on predictive modeling hold enormous potential for solving some of the biggest and most intractable problems of health care.  ...  The biggest challenge for the use of "big data" in health care is social, not technical.  ...  Acknowledgment The author's work on consumer biosensing is supported by a gift from Intel.  ... 
doi:10.1089/big.2013.0029 pmid:25161827 pmcid:PMC4114418 fatcat:ljshasgdt5gqtckzsbqhyxr5ma
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