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DATASOUND

DATASOUND: Understanding data with sound

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EC-Contrib. €

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Partnership

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Project "DATASOUND" data sheet

The following table provides information about the project.

Coordinator
IMPERIAL COLLEGE OF SCIENCE TECHNOLOGY AND MEDICINE 

Organization address
address: SOUTH KENSINGTON CAMPUS EXHIBITION ROAD
city: LONDON
postcode: SW7 2AZ
website: http://www.imperial.ac.uk/

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 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

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    IMPERIAL COLLEGE OF SCIENCE TECHNOLOGY AND MEDICINE UK (LONDON) coordinator 195˙454.00

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 Project objective

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.

 Publications

year authors and title journal last update
List of publications.
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.

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