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We propose a standardized approach for performance assessment and quality-control of the novel VASCOVID system based on optical phantoms. This approach is tailored to meet the requirements of the Medical Device Regulation, and is extendable to other biophotonics devices.

Our motivating application is a real-world problem: COVID-19 classification from CT imaging, for which we present a explainable Deep Learning approach based on a semi-supervised classification pipeline that employs variational autoencoders to extract efficient feature embedding. We have optimized the architecture of two different networks for CT images: (i) a novel conditional variational autoencoder (CVAE) with a specific architecture that integrates the class labels inside the encoder layers and uses side information with shared attention layers for the encoder, which make the most of the contextual clues for representation learning, and (ii) a downstream convolutional neural network for supervised classification using the encoder structure of the CVAE. With the explainable classification results, the proposed diagnosis system is very effective for COVID-19 classification. Based on the promising results obtained qualitatively and quantitatively, we envisage a wide deployment of our developed technique in large-scale clinical studies.

This document summarizes the availability and market readiness of the MONOCLE reference sensor collection, which consists of high-end radiometry sensors and supporting platforms for field deployment to register hyperspectral reflectance (water colour) and atmospheric conditions. The original targets for each of the three sensor systems were met in two cases (HSP-1 and So-Rad) whereas the WISP-M is still under development, with a timeline to completion provided for marketing purposes. The demonstration of this deliverable is provided through the project website, which provides user guidance, cost/pricing (where available) or information on the pathway to market. Additional materials targeted at specific user groups, such as instructional videos, build guides, manuals and software tools, are also collected there, either as part of this deliverable or the associated D8.5 “Set of MONOCLE documentation per stakeholder audience” and D6.3 “Software library for data inspection and statistical information extraction”. Despite some production issues, often related to the 2020/2021 COVID-19 pandemic, prototypes of each of the three systems (the WISPStation representing the WISP family of sensor systems) has had long-term field exposure, generating data sets and supporting the development of operational, standardardized data flows. This has resulted in the achievement of TRLs near, at or beyond the initially planned targets. All sensor systems now move forward into the last phase of the project which is focussed on demonstrating new and improved capabilities in the in situ segment of Copernicus, with and for selected end-user communities.

Purpose and scope of the deliverable: This is a framework report on Policies, Practices and Strategies. All partners have contributed material used in the production of the report which is described in the Work Programme as D2.1. This report seeks to establish a benchmark. With so much in flux, a starting point for identifying sig-nificant policy change is necessary. The benchmark is set at the outset of the project, approximately Q1 (January to March 2020), before the impact of COVID-19 and before the onset/impact of the new Programming Period. As a benchmark, the report seeks to be descriptive; there is no attempt at this stage to introduce any evaluation into the document; nor is there an intention to ’cluster’ case studies or countries – each case stands on its own merit. The attention to policy detail at Case Study level is relatively light. Here we are describing the Policy Framework. Detailed work on the Case Studies will take place later in the project when we have access to survey data and can view the emerging policies following the current hiatus in tourism. This is the first stage of the policy theme running through the three years of SPOT - the Social and Innovative Platform on Cultural Tourism and its Potential towards Deepening Europeanisation. This Framework Paper consists of four parts: Part One: The Executive Summary Part Two: The report on Policies, Practices and Strategies for each of the 15 partners (= Appendix A – Exploration of the Policy Framework) Part Three: A spreadsheet showing broad themes for each of the partners (= Appendix B) Part Four: A list of the sources used in preparing the report

With the increasing number of platforms, grids and infrastructures in the wider area of Language Technologies (LT), NLP, NLU, speech, interaction and language-centric AI, there is also a growing need for sharing experiences, approaches and best practices to learn and benefit from the work of others and also, practically, to start a collaboration towards platform interoperability. The 1st InternationalWorkshop for Language Technology Platforms (IWLTP 2020) addresses all smaller and larger language grids, language-related infrastructures, platform initiatives as well as collaborative research projects that touch upon LT platforms, especially platform interoperability and related topics, both in Europe and world-wide. Its objective is to exchange and discuss observations, experiences, solutions, best practices as well as current and future challenges. The workshop also addresses the issue of fragmentation in the Language Technology landscape. Instead of “platform islands” that simply exist side by side, possibly even competing with each other, initiatives should discuss how their platforms can be made interoperable and how they can interact with one another to create synergies towards a productive LT platform ecosystem. The EU project European Language Grid (ELG; 2019-2021) is creating a platform that will provide thousands of data sets and hundreds of LT services. ELG aims to promote technologies tailored to all European languages and cultures, adapted to their social and economic needs. At the same time, there are several established platforms or infrastructure-related initiatives as well as emerging new ones, both on the European but also on the national level as well as on other continents. Some of the initiatives are more language-related and have a strong industry focus, others are mainly research-oriented. Moreover, there are digital public service initiatives, and platforms, in which language is only one aspect of many. With all these established and emerging initiatives, there is a risk of even stronger fragmentation in the Language Technology field, which is already highly fragmented, at least in Europe. Our approach is to bring these initiatives together to discuss ways not only of preventing further fragmentation but, crucially, of reversing it. This will only be possible if interoperability and mutual data exchange is ensured and if metadata formats and technical requirements are compatible, among others. A total of 30 papers were submitted to IWLTP 2020, 17 of which were accepted (acceptance rate: 56.7%). The organisers would like to thank all contributors for their valuable submissions and all members of the Programme Committee for reviewing the submitted papers. Due to the ongoing SARSCoV-2 pandemic, the workshop cannot be held as originally foreseen. Together with the organisers of LREC 2020 we will explore if we can organise the workshop at a later point in time or if we can organise it as a virtual event. G. Rehm, K. Bontcheva, K. Choukri, J. Hajic, S. Piperidis, A. Vasil,jevs May 2020 iii

This white paper targets individuals interested in cybersecurity in the context of 5G networks and beyond. Accordingly, it addresses the challenges and tendencies in state-of-the-art security solutions and exemplifies the use of these solutions to daily and understandable threats. It goes in depth into the selected solutions with special emphasis on Chief Information Security Officers (CISO) as well as Chief Technology Officers and other decision-making roles putting them into context thanks to the analysis of threat evolution and tendencies in security including the effects produced by COVID-19 pandemic.

Abstract presented at the 16th World Congress on Public Health 2020

A website containing information about surgical mask testing

The COVID-19 pandemic has highlighted the need for FAIR (Findable, Accessible, Interoperable, and Reusable) data more than any other scientific challenge to date. We developed a flexible, multi-level, domain-agnostic FAIRification framework, providing practical guidance to improve the FAIRness for both existing and future clinical and molecular datasets. We validated the framework in collaboration with a wide range of public-private partnership projects, demonstrating and implementing improvements across all aspects of FAIR, using a variety of datasets, to demonstrate the reproducibility and wide-ranging applicability of this framework for intra-project FAIRification.