Monitoring, Evaluation and Impact Analysis
In year 2020, as part of LAMBDA activities, a Foresight Exercise was organized that brought together leading experts in the West Balkan region together with European and international experts.
One of the early preparatory steps was to contact and collect information (Preparatory activities (via Interviews, Questioners) in different level about:
This deliverable aims to present an Action plan for scientific excellence and innovation capacity building of the PUPIN Institute in the domain of Big Data Analytics for the following five years (2021-2025). It builds upon the LAMBDA Deliverable 5.9 Sustainability Measures and Activities, Innovation and IPR Management (Report) and the Research and Development Program of the Mihajlo Pupin Institute (2020-2025).
On 4th September 2020, the University of Oxford co-organized the workshop ‘Knowledge Representation & Representation Learning (KR4L)’ together with the University of Bonn and Fraunhofer IAIS, see also call for papers. It was held in conjunction with the 24th European Conference on Artificial Intelligence (ECAI 2020).
The overall objectives of the LAMBDA (Learning, Applying, Multiplying Big Data Analytics, http://www.project-lambda.org/) project are to
In this deliverable we report about the LAMBDA networking and brainstorming events where different aspects of Big Data have been discussed and challenges identified. Results of discussions have been integrated in LAMBDA researchers’ scientific publications, please check https://project-lambda.org/Publications.
In this deliverable we report about the Foresight Exercise of the LAMBDA project. It brings together leading experts in the West Balkan region together with European and international experts. We report on the extensive preparations, the Foresight Exercise itself, and give a detailed discussion of its outcome.
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 809965.
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