10 projects
Status
Domain
Organization Type
PICC4COVID
PICC4COVID is an SaaS solution providing actionable knowledge for practitioners and researchers in medical and bioscience fields. By using semantic BERT AI analysis, it build an augmented knowledge map extracted from reports, research papaers and so on. Imagine if Italian physicians had had access to all accumulated knowledge right at the beginning of the crisis! PICC Software enable physicians and researchers to access actionable knowledge for resolved problems identified by the healthcare and research community.
COVID19 Literature Bio-Curation, Text-mining and Semantic Web Technologies
The world wide scientific response to COVID-19 pandemic is reflected in the ever-growing scientific literature. Enriching our current knowledge base (https://biokb.lcsb.uni.lu) with these publications requires joint efforts at each stage of the chain of process involved in the text-mining pipeline. This pipeline comprises several challenging tasks such as part-of-speech tagging, entity recognition and normalisation, or event extraction, which are essential to discover relevant knowledge in the form of entities, relations and events. Such knowledge is then made available to the public via se...
Short, mid-term and exit strategies predictions of the Covid-19 epidemic in Luxembourg
The main objective of this project is to continue developing mathematical models and predictions of the Covid-19 epidemic in Luxembourg to aid the Luxembourg COVID-19 Task Force in advising the Government. This entails the following specific aims: 1) Design and provide detailed short-term predictions on a daily basis; 2) Develop models to make reliable mid-term (exit strategies) projections considering the specific Luxembourgish circumstances including demographic, geographic and economics data; 3) Transfer knowledge from other countries into Luxembourg models. In particular, obtain data an...
ACTING NoW (A Control Tower for the early detectIoN of distress in loGistics NetWorks and essenti...
The overall goal of the project is to assess and monitor the performance of logistics networks and supply chains in Luxembourg to spot early signals of distress during the current crisis and future ones (new lockdowns caused by COVID-19, and other unforeseen situations). Two surveys designed by the WP13 of the Luxembourg COVID-19 task force under the leadership of LCL and LIST are being launched as we speak to collect qualitative data on the performance of logistics networks and essential supply chains. These surveys will be administered using a platform provided by Incert, in the full re...
INFODEMIC - Combating the Infodemic to Curb the Pandemic: A Step Towards a Reliable and Knowledg...
Building on SnT/Uni.lu expertise on text analytics and machine learning, we propose the INFODEMIC project to challenge fake news on social media. Our approach considers a holistic view in combating fake news. To that end, we develop three key work packages: (1) Archiving of viral fake news, where a wikipedia-like crowdsourcing approach is investigated for building a large and publicly-searchable repository of fake news; (2) Automating early detection of fake news, where transfer learning-based models are devised to flag potential fake news in a multilingual setting; (3) Integrating a relia...
Pandemic Simulation and Forecasting for an Empowered Policy-Making: Convergence of Machine Learni...
The COVID-19 pandemic has created a public health emergency unprecedented in this century. The lack of accurate knowledge regarding the outcomes of the virus has made it challenging for policymakers to decide on appropriate countermeasures to mitigate its impact on society, in particular the public health and the very healthcare system. Therefore, the PILOT project will support policymakers with simulation and forecasting tools of the pandemic. Similar tools have already been designed, as part of a collaborative endeavour of the Research Luxembourg taskforce, to assess the short-term imp...
Machine Learning to the Rescue: From Health Recovery to Economic Revival
REBORN is a data science project that focuses on the challenge of ensuring sustainable economic recovery in face of Covid-19. The project team will apply advanced Machine Learning and simulation techniques to yield recommendations of economic actions given different scenarios in which the lockdown is relaxed, partially or totally lifted. By interacting with other teams of the Luxembourg Task Force, this project targets high impact for the various sectors of the Luxembourg economy, through providing appropriate data-driven recommendations for political decision-makers. We expect that REBORN ...
Monitoring system for epidemiological exposure person to person
In case of epidemics, where human contacts are the main vector for spreading a contagion, there is a need to track human mobility patterns and interactions in order to trace back how an infected person interacted with other people over a certain time moment.
