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QROWD - Because Big Data Integration is Humanly Possible

Objective

Big Data integration in European cities is of utmost importance for municipalities and companies to offer effective information services, enable efficient data-driven transportation and mobility, reduce CO2 emissions, assess the efficiency of infrastructure, as well as enhance the quality of life of citizens. At present this integration is substantially limited due to the following factors: 1) Urban Big Data is locked in isolated industrial and public sectors, and 2) The actual Big Data integration is an extremely hard technical problem due to the heterogeneity of data sources, variety of formats, sizes, quality as well as update rates, such that the integration requires significant human intervention.

QROWD addresses these challenges by offering methods to perform cross-sectoral streaming Big Data integration including geographic, transport, meteorological, cross domain and news data, while capitalizing on human feedback channels. The main objectives of QROWD are: (1) Facilitating cross-sectoral Big Data stream integration for urban mobility including real-time data on individual and public transportation combined with further available sources, such as weather conditions and infrastructure information to create a comprehensive overview of the city traffic; (2) Supporting participation and feedback of various stakeholder groups to foster data-driven innovation in cities; and (3) Building a platform providing hybrid computational methods relying on efficient algorithms complemented with human computation and feedback.

The main outcomes of QROWD are: (1) Two data value chains in the sectors of urban mobility and public transportation using a mix of large scale heterogeneous multilingual datasets; and (2) Cross-sectoral and cross-lingual technology, including algorithms and tools covering all phases of the cross-sectoral Big Data Value Chain building on W3C standards and capitalizing on a flexible and efficient combination of human and machine-based computation.

Call for proposal

H2020-ICT-2016-1
See other projects for this call

Funding Scheme

IA - Innovation action

Coordinator

UNIVERSITY OF SOUTHAMPTON
Address
Highfield
SO17 1BJ Southampton
United Kingdom
Activity type
Higher or Secondary Education Establishments
EU contribution
€ 651 504,99

Participants (8)

ATOS SPAIN SA
Spain
EU contribution
€ 336 437,50
Address
Calle De Albarracin 25
28037 Madrid
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
TOMTOM DEVELOPMENT GERMANY GMBH

Participation ended

Germany
EU contribution
€ 181 728,38
Address
Inselstrasse 22
04103 Leipzig
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
COMUNE DI TRENTO
Italy
EU contribution
€ 249 375
Address
Belenzani 19
38122 Trento
Activity type
Public bodies (excluding Research Organisations and Secondary or Higher Education Establishments)
AI4BD GMBH
Switzerland
EU contribution
€ 0
Address
Michael-maggi-strasse 16
8046 Zurich
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
INMARK EUROPA SA
Spain
EU contribution
€ 219 100
Address
Calle Rafael Calvo 9
28010 Madrid
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
INSTITUT FUR ANGEWANDTE INFORMATIK (INFAI) EV
Germany
EU contribution
€ 753 250
Address
Goerdelerring 9
04109 Leipzig
Activity type
Research Organisations
UNIVERSITA DEGLI STUDI DI TRENTO
Italy
EU contribution
€ 376 625
Address
Via Calepina 14
38122 Trento
Activity type
Higher or Secondary Education Establishments
TOMTOM LOCATION TECHNOLOGY GERMANY GMBH
Germany
EU contribution
€ 201 346,63
Address
An Den Treptowers 1
12435 Berlin
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)