'Complex-event-processing for emergency management in critical infrastructures', a was presented by the PUPIN staff at the US-Serbia & Data Science Workshop, organized in Belgrade, Serbia on 26-28 August 2018.
"Adopting the Linked Data approach for spatio-temporal analysis" was the title of the GIS and Remote Sensing 2018 (Berlin, 27-28.09.2018) presentation given by Valentina Janev (PUPIN).
Valentina Janev, Coordinator of the LAMBDA project
Strengthening and Widening of the European Infrastructure of Social Science Data Archives, 14-15 November 2018
Valentina Janev, Coordinator of the LAMBDA Project met CESSDA network members and discussed possibilities for future collaboration in the SwafS ‘Science with and for Society’ programme 2019. More about the event can be found on the CESSDA Website.
PUPIN Team participated at the “Reinventing the world-The power of Industry 4.0” Conference organized by the Science Technology Park Belgrade.
Visionary talks, workshops and panels that bring new ideas and knowledge on what shapes our future in 4.0 world were presented at the event.
The second CognitiveEng-Net consortium on 6-7 February 2019 was organized at Fraunhofer premises, Sankt Augustin, Germany.
Digital Transformation - Shaping the Future, October 2nd - 4th 2019, Varaždin, CroatiaThe aim of the Conference is to be the interface of researchers involved in the development and application of methods and techniques in the field of information and intelligent systems.
Session on Learning and Applying Big Data Analytics (LAMBDA)
This Session aims at bringing together researchers, industry experts, practitioners and potential users who are interested in different aspects of data science and analytics. The focus of the discussion will be on new research challenges related to Big Data processing taking into consideration characteristics like Volume, Velocity, Variety and Veracity, as well on on the best practice for development Big Data applications.
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 809965.
