The University of Athens is one of the major higher degree public educational institutions in Greece. The Department of Informatics and Telecommunications belongs to the Faculty of Applied Sciences. Department staff consists of 42 academic staff members and over 100 PhD candidates and research associates. The faculty, research staff and students participate in a large number of projects of national and international scale, funded by major programmes such as FP7.
The department has a rich and long experience in several topics of Computer Science such as Software Engineering, Databases and Knowledge Bases; Experiment Management Systems; Workflow Management Systems; Digital Libraries; User Interfaces; Personalization and Usage Statistics; Data Warehouses; Data Mining; and Distributed Systems and has participated in several relevant research and development projects.
UoA is highly involved in Open Science and by coordinating OpenAIRE Infrastructure, it has key personell that are members of the Management of Data, Information, & Knowledge Group (http://madgik.di.uoa.gr/), and have a rich and long experience in several topics of Computer Science such as Database and Information Systems (Distributed Query Processing & Optimization, Heterogeneous Systems, Intelligent Databases), Data Analytics (Machine Learning, Knowledge Discovery, Text and Data Mining, Data Warehouses, Workflow Management), Scientific Systems (eHealth Systems, Scientific Experiment Management, Scientific Database Systems), Social Information Systems (Personalization, Social Networking, Sentiment Analysis), Digital Libraries (Information Integration and Access, Grid-Services, Cultural Heritage Systems), Human-Computer Interaction (Database User Interfaces, Complex Data Visualization).
They participate in a large number of national and European projects on the above areas and deal with a wide variety of applications, such as agricultural science, medicine, cultural heritage, space sciences, and others. The Department of Informatics and Telecommunications (http://www.di.uoa.gr and http://www.madgik.di.uoa.gr) belongs to the Faculty of Applied Sciences. Department staff consists of 40 academic staff members and over 100 PhD candidates and research associates. The research and development activities within the Department cover a wide spectrum of Information and Communication technologies. The department maintains expertise in several topics of Computer Science such as Databases and Knowledge Bases, Data Mining, Digital Libraries, User Interfaces, Personalization, Data Warehouse, Cloud-Computing, Distributed and Web Information Systems, GIS-based Management and Workflow Systems, and Software Engineering.
The department is home to four ERC Research Grants and is involved in several funded ICT research and development projects. The faculty, research staff and students participate in a large number of projects (more than 100) of European and national scale, funded by EU Programmes (H2020 and previously FP6 and FP7) as well as the Operational Program for Education and Initial Vocational Training funded by the Greek Ministry of Education.
The selected AGINFRA+ Use Cases will illustrate the benefits of applying the Science as a Service approach to pressing research questions from the corresponding research communities.
AGROCLIMATIC AND ECONOMIC MODELLING
This community focuses on use cases aim to support the workflow of researchers, intermediaries and business analysts working on crop modelling, crop phenology estimation and yield forecasting, as well as related activities in the area of policy and decision support in food security, farm management advice and related activities.
This community focuses on use cases to support scientists in the multidisciplinary field of risk assessment and emerging risk identification as there is currently a strong need to create new technology-supported solutions that facilitate the knowledge integration processes relevant for these tasks.
This community focuses on use cases related to the high-throughput phenotyping large amount of data which need to be analyzed immediately for decision making. This aims to support phenomics researchers to select plant species and varieties which are the most adapted to specific environments and to global changes.
AGINFRA+ - Accelerating user-driven e-infrastructure innovation in Food & Agriculture has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 731001.
Disclaimer: The sole responsibility of the material published in this website lies with the authors. The European Union is not responsible for any use that may be made of the information contained therein..