Data and Web Science Lab (DATALAB A.U.Th.) is an active research group engaged in research and innovation on ICT complex data science and engineering technologies, offering end-to-end multi way and multi scope analytics.
Data and Web Science Lab can offer end-to-end solutions from raw data to insightful results and from low-level data management to advanced algorithms and applications. It fosters strong international collaborations with multi-disciplinary synergies (engineering, psychology, social sciences, arts, cultural studies, etc) providing data protection and EU GDPR consultancy and technical support. Our group consists of vibrant researchers and developers that encourage entrepreneurship and innovation, providing project management and coordination of research projects and novel ideas for extensive and advanced software and web development. We also support research and technology transfer to industry through multiple bilateral industry collaborations.
Datalab has strong expertise in the following research topics:
DATA MINING AND ANALYSIS FOR BIG DATA
massive data streams, and social networks with solutions for outlier detection, recommendations, collaborative filtering, incremental clustering, patterns detection, scientometrics, and sentiment analysis.
INFORMATION RETRIEVAL AND CORE DATA MANAGEMENT
technologies such as cloud, graph, spatial and spatiotemporal databases, query processing, community detection, distributed data engineering, and optimisation of data analytics flows.
STRONG THEORETICAL BACKGROUND
in fields underpinning modern data and web analytics: data structures, graph theory and applications, algorithmic complexity and computational geometry.
MASSIVELY PARALLEL SYSTEMS
including MapReduce, Spark, Flink and CUDA to support end-to-end big data science applications and runtime evolving analytics.
design and development for smart contract solutions based on blockchain technologies (such as Ethereum and Hyperledger Fabric).
DESIGN AND DEVELOPMENT
of collective social awareness and smart city platforms for creative ICT driven distributed applications, frameworks and services at which social, cultural and historical content is e-reflected and shared.