Explore the words cloud of the DATASOUND project. It provides you a very rough idea of what is the project "DATASOUND" about.
The following table provides information about the project.
Coordinator |
IMPERIAL COLLEGE OF SCIENCE TECHNOLOGY AND MEDICINE
Organization address contact info |
Coordinator Country | United Kingdom [UK] |
Project website | http://datasound.eu/ |
Total cost | 195˙454 € |
EC max contribution | 195˙454 € (100%) |
Programme |
1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility) |
Code Call | H2020-MSCA-IF-2016 |
Funding Scheme | MSCA-IF-EF-ST |
Starting year | 2017 |
Duration (year-month-day) | from 2017-06-01 to 2019-05-31 |
Take a look of project's partnership.
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1 | IMPERIAL COLLEGE OF SCIENCE TECHNOLOGY AND MEDICINE | UK (LONDON) | coordinator | 195˙454.00 |
More and more, organizations are generating huge amounts of data, which need to be stored and processed in order to gain useful insights and achieve competitive advantage. While the storage and analysis are nowadays mostly carried out by computers, the interpretation of data is still performed by humans through visual means.
This research project proposes a novel and complementary approach to data interpretation by means of sound, and aims to address the scientific question of “Can sound be used for Data Science?”. Its results will be of relevance to identify patterns in real-time continuous data, and it will be tested in the context of real-time energy monitoring in a building. The project will provide the researcher the resources and training for creating and managing a pioneering research lab on data Sonification at the Data Science Institute, Imperial College London.
year | authors and title | journal | last update |
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2018 |
David Dolan, Henrik J. Jensen, Pedro A. M. Mediano, Miguel Molina-Solana, Hardik Rajpal, Fernando Rosas, John A. Sloboda The Improvisational State of Mind: A Multidisciplinary Study of an Improvisatory Approach to Classical Music Repertoire Performance published pages: , ISSN: 1664-1078, DOI: 10.3389/fpsyg.2018.01341 |
Frontiers in Psychology 9 | 2019-09-30 |
2019 |
R. Rueda, M. Cuéllar, M. Molina-Solana, Y. Guo, M. Pegalajar Generalised Regression Hypothesis Induction for Energy Consumption Forecasting published pages: 1069, ISSN: 1996-1073, DOI: 10.3390/en12061069 |
Energies 12/6 | 2019-09-30 |
2018 |
Julio Amador Diaz Lopez, Miguel Molina-Solana, Mark T. Kennedy foo.castr: visualising the future AI workforce published pages: , ISSN: 2058-6345, DOI: 10.1186/s41044-018-0034-z |
Big Data Analytics 3/1 | 2019-09-30 |
2018 |
Juan Gómez-Romero, Miguel Molina-Solana, Axel Oehmichen, Yike Guo Visualizing large knowledge graphs: A performance analysis published pages: 224-238, ISSN: 0167-739X, DOI: 10.1016/j.future.2018.06.015 |
Future Generation Computer Systems 89 | 2019-09-30 |
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The information about "DATASOUND" are provided by the European Opendata Portal: CORDIS opendata.