The project has achieved significant scientific progress as shown by the already published top-level research in relation to the 3 scientific Work-packages. In particular, research breakthroughs have been achieved on Dimensionality reduction by randomized linear projections, sampling and geometric random walks, Deep learning, Road segmentation / clustering, and risk assessment by anomaly detection. Articles and posters have been published in internationally established scientific journal or conferences with peer-reviewed proceedings. Workshops have been organized by the Consortium according to the provisions of the Grant Agreement.
The impact of the project can be summarized to the following points:
• Secondments have been undertaken between all members and partners. Career development of secondees (contacts with industry, experience of both sectors) has been significant. Transfer of Knowledge has been satisfactory, both intersectoral and intercontinental, mainly by means of secondment visits but also by discussion and plans for further collaboration.
• Communication is strong, given the current rate of publications as well as further activities such as use of LAMBDA to enhance course material and propose course projects, presentations in high-schools and University-level schools, general public talks. Some dissemination has occurred via LinkedIn, as well as at events targeting the wider public (the coordinator has participated in two general scientific conferences on Open Science, and on Math education).
• One industrial participant has showcased and exploited participation in LAMBDA in a recent funding round. An NDA was signed between an industrial and an academic member. Exploitable results elaborated and selected for EU's Innovation Radar concerning prospects for further innovation activities and transfer of technology in Shape representation, Geometric learning, Road segmentation / clustering, Driving behavior, anomaly detection. Joint software is being developed between academic and industrial members, and joint participation in new projects has been achieved.
Actions and deliverables relating to the LAMBDA project continue to take into account data privacy and confidentiality concerns, in order to ensure compliance with the relevant EU legislation. To that end, anonymisation and encryption techniques continue to be used, where appropriate, and specific privacy related information is not disclosed outside the context of the Project. Access restrictions to IT systems and storage such as password protection and ‘need-to-know’ access also continue to be in place, in accordance with the applicable legislation. All stakeholders in the consortium are aware of the relevant data privacy and confidentiality concerns and requirements, notably those arising from the General Data Protection Regulation (GDPR).
