The Fablab for geodata-driven innovation - by leveraging Space data in particular, in Universities 2.0 | FabSpace 2.0 | Project | Results | H2020 | CORDIS

Livrables

Project Presentation: Project Presentation in MS Word and PDF formats

Describes the support for entrepreneurs/start-ups to turn their concept into a start-up

Details the internal organisation and animation of the FabSpaces that ensure the co-creation, open innovation, and networking between various stakeholders with various backgrounds

Report on first daily FabSpace animations

First Report on the first round of Animation and Networking including the details of the Local and European workshop

Descriptions of entrepreneurship programmes led in 2016-17

Descriptions of entrepreneurship programmes led in 2017-18

Report on Third Bootcamp

Describes the support for entrepreneurs/start-ups to turn their concept into a start-up

Innovation leadership training programme descriptions

Designing new training programmes on innovation leadership knowledge for researchers' life-long learning.

Report on the second round of Animation and Networking

Report on the second round of Animation and Networking (Second execution of Space Science Shops and Innovation Actions/Events)

Report on Second Bootcamp

Describes the support for entrepreneurs/start-ups to turn their concept into a start-up

Descriptions of entrepreneurship-programmes led in 2017-18

Descriptions of entrepreneurship-programmes led in 2018-19

Report on the third round of Animation and Networking

Report on the third round of Animation and Networking including the details of the Local and European Innovation Actions/Events

FabSpace online platform

Online support for users including MOOC agregator, FabSpace users networking, and hotline.

Data management infrastructure

The data management infrastructure ready to operate with a first set of data, in each university partners facilities.

Publications

Solving “Smart City” Transport Problems by Designing Carpooling Gamification Schemes with Multi-Agent Systems: The Case of the So-Called “Mordor of Warsaw”

Auteurs: Robert Olszewski, Piotr Pałka, Agnieszka Turek
Publié dans: Sensors, Numéro 18/2, 2018, Page(s) 141, ISSN 1424-8220
Éditeur: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/s18010141

Jeux de Données d’Observation de la Terre pour la Détection des Changements dans les Forêts

Auteurs: Julius Akinyemi, Josiane Mothe, Nathalie Neptune
Publié dans: Recherche d’information, document et web sémantique, Numéro 2/1, 2019, ISSN 2516-3280
Éditeur: ISTE Ltd
DOI: 10.21494/iste.op.2019.0337

Overview of ImageCLEF 2017: Information Extraction from Images.

Auteurs: Bogdan Ionescu, Henning Müller, Mauricio Villegas, Helbert Arenas, Giulia Boato, Duc-Tien Dang-Nguyen, Yashin Dicente Cid, Carsten Eickhoff, Alba G. Seco de Herrera, Cathal Gurrin, Bayzidul Islam, Vassili Kovalev, Vitali Liauchuk, Josiane Mothe, Luca Piras, Michael Riegler, Immanuel Schwall
Publié dans: Jones G. et al. (eds) Experimental IR Meets Multilinguality, Multimodality, and Interaction. CLEF 2017. Lecture Notes in Computer Science, vol 10456., 2017, Page(s) 315-337, ISBN 978-3-319-65812-4
Éditeur: Springer International Publishing
DOI: 10.1007/978-3-319-65813-1_28

The FABSPACE 2.0 Project For Geodata-Driven Innovation (regular paper)

Auteurs: Fabio Del Frate, Francesco Carbone, Josiane Mothe, Aurélie Baker, Iosif Paraskevas, Dimitrios Soundris, Aurélie Fumel, Christian Barbier, Bayzidul Islam, Matthias Becker, Robert Olszewski, Anna Bialczak
Publié dans: 2017
Éditeur: ESA Earth Observation Open Science
DOI: 10.5281/zenodo.2602628

FabSpace 2.0: Universities Fostering Open Innovation Enabled by Earth Observation and Geo-spatial Information

Auteurs: M. Maranesi, J. Mothe, C. Barbier, M. B. Islam, A. Turek, C. Marantos
Publié dans: 2018
Éditeur: Proceedings of the University Industry Innovation Network 2018 Conference
DOI: 10.5281/zenodo.2557661

Convolutional Expectation Maximization for Population Estimation

Auteurs: Andrea Pomente, David Aleandri
Publié dans: 2017
Éditeur: CLEF
DOI: 10.5281/zenodo.2583055

FPGA acceleration of hyperspectral image processing for high-speed detection applications

Auteurs: Simon Vellas, George Lentaris, Konstantinos Maragos, Dimitrios Soudris, Zacharias Kandylakis, Konstantinos Karantzalos
Publié dans: 2017 IEEE International Symposium on Circuits and Systems (ISCAS), 2017, Page(s) 1-4, ISBN 978-1-4673-6853-7
Éditeur: IEEE
DOI: 10.1109/ISCAS.2017.8050773

Fouille de publications scientifiques pour une analyse bibliométrique de l'activité de recherche sur la déforestation

Auteurs: Nathalie Neptune, Josiane Mothe, Julius Akinyemi
Publié dans: EGC - Atelier Fouille du Web, 2018
Éditeur: Association Internationale Francophone d'Extraction et de Gestion des Connaissances (EGC)
DOI: 10.5281/zenodo.2629629

Annotation automatique d'images : le cas de la déforestation

Auteurs: Duy Huynh, Josiane Mothe, Nathalie Neptune
Publié dans: Rencontres Jeunes Chercheurs en Recherche d'Information (RJCRI 2018), 2018
Éditeur: Association Francophone de Recherche d'Information et Applications (ARIA)

FabSpace 2.0, utilisation d’images d’observation de la Terre et des océans en classe

Auteurs: Josiane MOTHE, Guillaume RIEU
Publié dans: Ingénierie des systèmes d'information, Numéro 22/5, 2017, Page(s) 91-104, ISSN 1633-1311
Éditeur: Hermes Science Publishing Ltd
DOI: 10.3166/isi.22.5.91-104

News Dissemination on Twitter and Conventional News Channels

Auteurs: Agrima Seth, Shraddha Nayak, Josiane Mothe, Sangeeta Jadhay
Publié dans: Proceedings of the 19th International Conference on Enterprise Information Systems, 2017, Page(s) 43-52, ISBN 978-989-758-247-9
Éditeur: SCITEPRESS - Science and Technology Publications
DOI: 10.5220/0006264100430052

FABSPACE 2.0: THE OPEN-INNOVATION NETWORK FOR GEODATA-DRIVEN INNOVATION

Auteurs: Del Frate, F.; Mothe, J.; Barbier, C.; Becker, M.; Olszewski, R.; Soudris, D.
Publié dans: 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Numéro 1, 2017, Page(s) 353-356, ISBN 978-1-5090-4951-6
Éditeur: IEEE
DOI: 10.5281/zenodo.2602610

Application of Decision Trees in the Development of a Knowledge Base for a System of Support of Revitalisation Processes

Auteurs: Agnieszka Turek
Publié dans: Numéro 1, 2017
Éditeur: online
DOI: 10.5281/zenodo.2613905

Urban Gamification as a Source of Information for Spatial Data Analysis and Predictive Participatory Modelling of a City’s Development

Auteurs: Robert Olszewski, Agnieszka Turek, Marcin Łączyński
Publié dans: Proceedings of the 5th International Conference on Data Management Technologies and Applications, 2016, Page(s) 176-181, ISBN 978-989-758-193-9
Éditeur: SCITEPRESS - Science and Technology Publications
DOI: 10.5220/0006005201760181

"Application of the Spatial Data Mining Methodology and Gamification for the Optimisation of Solving the Transport Issues of the ""Varsovian Mordor"""

Auteurs: Robert Olszewski, Agnieszka Turek
Publié dans: Tan Y., Shi Y. (eds) Data Mining and Big Data. DMBD 2016. Lecture Notes in Computer Science, vol 9714, 2016, Page(s) 103-114, ISBN 978-3-319-40972-6
Éditeur: Springer International Publishing
DOI: 10.1007/978-3-319-40973-3_10

FabSpace 2.0: A platform for application and service development based on Earth Observation data

Auteurs: Charalampos Marantos, Iosif S. Paraskevas, Kostas Siozios, Josiane Mothe, Colette Menou, Dimitrios Soudris
Publié dans: 2017 6th International Conference on Modern Circuits and Systems Technologies (MOCAST), 2017, Page(s) 1-4, ISBN 978-1-5090-4386-6
Éditeur: IEEE
DOI: 10.1109/MOCAST.2017.7937657

Overview of the ImageCLEF 2017 Population Estimation (Remote) Task

Auteurs: Helbert Arenas, Md Bayzidul Islam, Josiane Mothe
Publié dans: International Conference of the CLEF Association, CLEF 2017 Labs Working Notes, Dublin, Ireland, 11/09/2017-14/09/2017, 2017
Éditeur: Linda Cappellato, Nicola Ferro, Lorraine Goeuriot, Thomas Mandl (Eds.)

Sentinel-2 Satellite Imagery based Population Estimation Strategies at FabSpace 2.0 Lab Darmstadt

Auteurs: Md Bayzidul Islam, Matthias Becker, Damian Bargiel, Kazi Rifat Ahmed, Philipp Duzak and Nsikan-George Emana
Publié dans: International Conference of the CLEF Association, CLEF 2017 Labs Working Notes, Dublin, Ireland, 11/09/2017-14/09/2017, Numéro Vol - 1866 urn:nbn:de:0074-1866-8, 2017
Éditeur: Linda Cappellato, Nicola Ferro, Lorraine Goeuriot, Thomas Mandl (Eds.)
DOI: 10.5281/zenodo.2576515

Regional Population Estimation Using Satellite Imagery

Auteurs: Katerina Koutsouri, Ilektra Skepetari, Konstantinos Anastasakis and Stefanos Lappas
Publié dans: International Conference of the CLEF Association, CLEF 2017 Labs Working Notes, Dublin, Ireland, 11/09/2017-14/09/2017, 2017
Éditeur: Linda Cappellato, Nicola Ferro, Lorraine Goeuriot, Thomas Mandl (Eds.)
DOI: 10.5281/zenodo.2533125

FabSpaces at ImageCLEF 2017 - Population Estimation (Remote) Task

Auteurs: Helbert Arenas, Aurélie Baker, Damian Bargiel, Matthias Becker, Anna Bialczak, Francesco Carbone, Gaildrat Véronique, Sascha Heising, Md Bayzidul Islam, Philippe Lattes, Charalampos Marantos, Colette Menou, Aude Nzeh Ngong, Josiane Mothe, Iosif S. Paraskevas, Miguel Penalver, Paulina Sciana, Dimitrios Soudris
Publié dans: International Conference of the CLEF Association, CLEF 2017 Labs Working Notes, Dublin, Ireland, 11/09/2017-14/09/2017, 2017
Éditeur: Linda Cappella, Nicola Ferro, Lorraine Goeuriot, Thomas Mandl (Eds.)

Fouille de publications scientifiques pour une analyse bibliométrique de l'activité de recherche sur la déforestation

Auteurs: Nathalie Neptune, Josiane Mothe, Julius Akinyemi
Publié dans: Journée commune AFIA-ARIA, 2017
Éditeur: ARIA
DOI: 10.5281/zenodo.2629627

Données, Systèmes d'information Généralisés, Apprentissage et Deep Learning

Auteurs: Geoffrey Roman Jimenez, Josiane Mothe
Publié dans: Journée deep learning, 2018
Éditeur: IRIT
DOI: 10.5281/zenodo.2599595

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The Fablab for geodata-driven innovation - by leveraging Space data in particular, in Universities 2.0

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