Mirco Nanni from Track & Know partner CNR presented his recent paper titled 'Vehicle mobility data analysis and Individual Mobility Networks for crash prediction.' (authors: Mirco Nanni - CNR, and Leonardo Longhi - SIS) at I-CiTies 2019, the 5th Italian conference on ICT for Smart Cities and Communities". The conference currently takes place in Pisa, Italy.
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Track & Know results presented at BigMedilytics event in Valencia
On September 4 and 5, the intermediate results from the Track & Know project will be presented at the BigMedilytics event titled 'Big Data: Fueling the transformation of Europe’s Healthcare Sector' which is held at the Polytechnic City of Innovation in Valencia (Spain). Jenny Rainbird from Inlecom System (coordinator Track & Know Project) will be presenting Track & Know results.
The event will involve organizations covering the key players in the healthcare sector such as heal...
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Track & Know story reached shortlist “Success Story Awards 2019”
Next to participating and showcasing the Track & Know project at the BDV PPP summit 2019 in Riga, Track & Know also reached the shortlist of the "success stories awards", organized by BDVE Project and BDVA. Track & Know partner project Transforming Transport ended up scoring the first prize.
The Track & Know consortium submitted two stories for this contest of which one story, titled ‘‘Sleep well – drive safely – a tale of mobility tracking and Big Data’’, successfully made ...
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Track & Know stories strive for “Success Story Award” by BDVE Project and BDVA
Along with participating and showcasing the Track & Know project at the upcoming BDV PPP summit 2019 in Riga, Track & Know has also submitted two success stories in a contest organized by BDVE Project and BDVA.
The BDV PPP Summit is the primary event for driving European innovation in Big Data and Artificial Intelligence. Key European industry, academia and policy-making players will gather on June 26 to 28 in Riga to foster cross-sector collaboration and shape strategies...
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Health pilot case: Network lunch session in Cambridge to engage with stakeholders
On June 17, Royal Papworth OSA service and Cambridge Medical Academy team (as project partners of Track & Know) organised a network lunch session to engage with stakeholders. The event was held at Cambridge Biomedical Campus (UK).
The seminar attracted new stakeholders for feedback and further project engagement, such as an Operations Manager of OSA ( Obstructive Sleep Apnea) sleep services, a CPAP ( Continuous Positive Airway Pressure) practitioner (OSA therapy machine), a Philips...
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Track & Know project flyer
Discover everything about the Track & Know project through this comprehensible triptych flyer. Please click on the below images for the full PDF version.
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Prof. Yannis Theodoridis (UPRC) delivered a lecture at the Austrian Institute of Technology
As part of an AIT lecture series, Prof. Yannis Theodoridis has delivered a lecture on ‘’Learning from movements- A roadmap towards mobility data analytics’’ on the 6th of June 2019. More details can be seen here.
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Mid-term event: special Track & Know session jointly with ANT Conference 2019
As part of the dissemination goals of the project, a mid-term event was held on May 2nd, 2019 as a special technical session within a reputed international conference on Ambient Systems, Network and Technologies (ANT) to gain attention of a wider and more related audience. This conference is held every year and is a leading international conference for researchers and industry practitioners to share their new ideas, original research results and practical development experiences from Big data a...
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3rd Issue Track & Know newsletter online
Catch up on all there is to know about this Horizon 2020 project in the latest issue of the Track & Know newsletter.
Want to stay up to date? Register now and receive the Track & Know newsletter via email.
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Track & Know partners develop online tool indicating road conditions and nearby fuel stations.
Track & Know partners at the University of Piraeus, Greece have built an online tool that takes as input streaming data and enriches them with selected weathers attributes indicating road conditions (e.g. wind, rain or ice) and nearby fuel stations.
This enrichment of positional data is useful to improve mobility data analysis tasks in several use case scenarios in pilots related to mobility and insurance within the project. It will help improve the accidents risks estimation, hot spot ...
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