Author Archives: Alexander Mikroyannidis

The new EDSA dashboard has been launched

EDSA has launched a brand new dashboard that allows users to explore both the current data science skills demand and supply. In particular, the new dashboard enables users to: View the current demand for data science jobs across Europe. Filter demand by required skills and region. View trends and statistics regarding data science jobs and skills for […]

EDSA at the Open Education Global conference

The Open Education Global conference took place last week in the beautiful city of Cape Town. The European Data Science Academy was represented by Alexander Mikroyannidis (The Open University, UK). Alexander presented a paper describing the project’s approach in using open courseware in order to bridge the Data Science skills gap across Europe. The European Data […]

Smart Cities: New MOOC launched by the Open University

The Open University has just launched the FutureLearn MOOC Smart Cities. This free online course will help learners navigate their own path through the complex landscape of smart cities. Learners will hear from smart city innovators and entrepreneurs, city leaders, communities and business, connecting with learners from around the world to reflect on issues facing smart cities […]

New EDSA courses published

Two new self-study courses have been published by EDSA: Distributed Artificial Intelligence and Intelligent Agents Peer-to-Peer, Cloud Computing and Big Data The courses have been produced by EDSA partner KTH. The first course provides knowledge about basic methods and techniques of Distributed AI and agent technology to be applied to data intensive systems. The second […]

EDSA organises the 6th ESWC Summer School

The 6th ESWC Summer School will run in Dubrovnik, Croatia from the morning of Monday, September 5th to midday Saturday, September 10th 2016. The overall goal for this event is to provide intensive training and networking opportunities for the next-generation of scientists and researchers in the digital age. In particular we wish to facilitate the creation […]

New EDSA course: Big Data Analytics

EDSA has launched a new course on Big Data Analytics. The course has been produced by Fraunhofer and provides an overview of approaches facilitating data analytics on huge datasets. Different strategies are presented including sampling to make classical analytics tools amenable for big datasets, analytics tools that can be applied in the batch or the speed […]

The EDSA courses are now available via OAI-PMH 2.0

The courses offered by the EDSA Online Courses portal are now exposed via OAI-PMH 2.0. The Open Archives Initiative Protocol for Metadata Harvesting (OAI-PMH) offers a simple technical option for catalogue and repository services to make their metadata available to other services, based on the HTTP and XML standards, resulting in facilitated discovery of distributed resources. In this way […]

EDSA at the EDISON workshop on Data Infrastructure Competences and Skills

The EDISON project organised and delivered on February 9th in Brussels a workshop entitled: “Data Infrastructure Competences and Skills Framework: a European and Global Challenge”. The main objective of this event was to take stock of the main initiatives and projects in the digital infrastructure ecosystem and map their contributions to the definition of an ambitious […]

EDSA launches self-study courses

EDSA has launched a set of self-study courses covering the following topics: Foundations of Data Science Foundations of Big Data Big Data Architecture Distributed Computing Process Mining Essentials of Data Analytics and Machine Learning The courses are available in the EDSA online courses portal, where learners can enrol and study the learning materials at their own pace. […]

ICT 2015 Networking Session: Addressing the Big Data and Data Science Skills Gap

EDSA is organising a Networking Session in ICT 2015, entitled: “Addressing the Big Data and Data Science Skills Gap”. The objective of this session is to generate an action plan for addressing the Big Data and Data Science skills gap by bringing together researchers and key industrial players. The session will be comprised of 3 talks representing the Market, Industry […]