Explore the words cloud of the NOESIS project. It provides you a very rough idea of what is the project "NOESIS" about.
The following table provides information about the project.
Coordinator |
ORTELIO LTD
Organization address contact info |
Coordinator Country | United Kingdom [UK] |
Project website | https://noesis-project.eu |
Total cost | 1˙197˙831 € |
EC max contribution | 1˙197˙831 € (100%) |
Programme |
1. H2020-EU.3.4. (SOCIETAL CHALLENGES - Smart, Green And Integrated Transport) |
Code Call | H2020-MG-2017-SingleStage-INEA |
Funding Scheme | CSA |
Starting year | 2017 |
Duration (year-month-day) | from 2017-11-01 to 2019-10-31 |
Take a look of project's partnership.
# | ||||
---|---|---|---|---|
1 | ORTELIO LTD | UK (COVENTRY) | coordinator | 314˙875.00 |
2 | TECHNISCHE UNIVERSITAET MUENCHEN | DE (MUENCHEN) | participant | 187˙375.00 |
3 | UNIVERSIDAD POLITECNICA DE MADRID | ES (MADRID) | participant | 135˙625.00 |
4 | KUNGLIGA TEKNISKA HOEGSKOLAN | SE (STOCKHOLM) | participant | 132˙562.00 |
5 | COVENTRY UNIVERSITY ENTERPRISES LIMITED | UK (COVENTRY) | participant | 132˙375.00 |
6 | Univerzitet u Beogradu - Saobracajni fakultet | RS (Belgrade) | participant | 125˙031.00 |
7 | BAYERISCHE AKADEMIE DER WISSENSCHAFTEN | DE (MUENCHEN) | participant | 93˙706.00 |
8 | MACOMI BV | NL (DEN HOORN) | participant | 76˙281.00 |
NOESIS project will identify the critical factors/features which lead to successful implementation of Big Data technologies and services in the field of transport and logistics with significant value generation from a socioeconomic viewpoint. This will be achieved through the examination of areas and contexts throughout Europe, in which ICT investments and exploitation of data should be implemented. The impact of Big Data will be evaluated in a series of transportation use cases (Big Data in Transport Library) by developing and applying a ‘Learning framework’ and a Value Capture mechanism which will estimate the expected benefits and costs.
Policy briefs | Documents, reports | 2020-04-24 04:31:03 |
Data Benefit Analysis and Impact Assessment Methodologies (IAM) for appraising big data solution in transport | Documents, reports | 2020-04-24 04:31:03 |
Exploitation Plan | Documents, reports | 2020-04-24 04:31:03 |
Technological and policy roadmaps | Documents, reports | 2020-04-24 04:31:03 |
Development and validation of the NOESIS Decision Support tool (DST) | Documents, reports | 2020-04-24 04:31:03 |
Suitability of business and organizational models for the successful implementation of big data in transport solutions | Documents, reports | 2020-04-24 04:31:03 |
Dissemination , communication and exploitation plan | Documents, reports | 2020-04-24 04:31:03 |
Handbook on Key Lessons Learnt and Transferable Practices | Documents, reports | 2020-04-24 04:31:03 |
Big Data implementation context in transport | Documents, reports | 2020-04-24 04:31:02 |
Data governance and institutional issues | Documents, reports | 2020-04-24 04:31:03 |
Big Data in Transport Library | Documents, reports | 2020-04-24 04:31:02 |
Learning Framework methodology and architecture | Documents, reports | 2020-04-24 04:31:03 |
Summary to Practitioners on Laws, Regulations, and Directives on Data Privacy, Security and Openness | Documents, reports | 2020-04-24 04:31:03 |
Big Data and emerging transportation challenges | Documents, reports | 2020-04-24 04:31:03 |
Take a look to the deliverables list in detail: detailed list of NOESIS deliverables.
year | authors and title | journal | last update |
---|---|---|---|
2019 |
Xiang Fei, Nazaraf Shah, Nandor Verba, Kuo-Ming Chao, Victor Sanchez-Anguix, Jacek Lewandowski, Anne James, Zahid Usman CPS data streams analytics based on machine learning for Cloud and Fog Computing: A survey published pages: 435-450, ISSN: 0167-739X, DOI: 10.1016/j.future.2018.06.042 |
Future Generation Computer Systems 90 | 2020-04-24 |
2018 |
Slađana Janković, Snežana Mladenović, Dušan Mladenović, Slavko Vesković, Draženko Glavić Schema on read modeling approach as a basis of big data analytics integration in EIS published pages: 1180-1201, ISSN: 1751-7575, DOI: 10.1080/17517575.2018.1462404 |
Enterprise Information Systems 12/8-9 | 2020-04-24 |
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The information about "NOESIS" are provided by the European Opendata Portal: CORDIS opendata.