bigdata

"Entrepreneurship in the Covid Era" workshop

Entrepreneurship in the Covid Era Workshop

During the “Entrepreneurship in the Covid Era” workshop organized today by the Employouth Project and the Επιμελητήριο Ν. Σερρών, #DatalabAuth‘s group leader Athena Vakali shared her insights on utilizing #Data and #DataScience as a source of #innovation and growth. She presented the lab’s scientific excellence, technological expertise and #research activities and summarized the trends and …

Entrepreneurship in the Covid Era Workshop Read More »

ENCASE: ENhancing seCurity and privAcy in the Social wEb (Η2020)

ENCASE

ENCASE will leverage the latest advances in usable security and privacy to design and implement a browser-based architecture for the protection of minors from malicious actors in online social networks. The overall vision of the project is to provide research and innovation contributions to end-user experience assessment, large scale data processing, machine learning and data …

ENCASE Read More »

cHiPSet: High-performance modelling and simulation for big data applications

cHiPSet

The Big Data era poses a critically difficult challenge and striking development opportunities in High-Performance Computing (HPC): how to efficiently turn massively large data into valuable information and meaningful knowledge. Computationally effective HPC is required in a rapidly-increasing number of data-intensive domains, such as Life and Physical Sciences, and Socioeconomic Systems. Modelling and Simulation (MS) …

cHiPSet Read More »

OSWINDS

EGI | How to predict social media trends?

Social networks nowadays are big data production engines. Their analytics can produce insights on trending topics that can be used in various domains, from advertising to politics. Social media trends are also indicators for various phenomena, from opinion shifts to emergency situations and even disease outbreaks. However, the prediction of a social network’s topic as …

EGI | How to predict social media trends? Read More »

IEEE BigData 2016

Participation in IEEE BigData 2016

OSWINDS participates in IEEE BigData 2016 Workshop on ” Real-time and Stream Analytics in Big Data” presenting the work “A multi-layer software architecture framework for adaptive real-time analytics” (pdf here) by Athena Vakali, Paschalis Korosoglou, and Pavlos Daoglou.