44 projects
Status
Organization Type
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...
Luxembourg Weizmann Initiative
Contribution to data collection effort to inform the decision making process on the pandemic exit scenario based on the Weizmann initiative adapted to Luxembourg
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 ...
Development of a high performance COVID-19 immunoassay to assess population-based viral immunity
The current situation of lock-down in many countries creates a strong need for large screening efforts in order to assess the immune status of the population and to advice decision makers on measures to relaunch social and economic activites. Due to the need for serological testing on high numbers of individuals over several months, shortages are predictable and a major threat to society. The present proposal aims at the setup of a diagnostic assay using an immunodetection technique and recombinant viral surface proteins expressed and purified in Luxembourg. This assay will allow Luxembourg...
Phylodynamic real-time monitoring of SARS-CoV-2 genomes
The current Covid-19 pandemic caused by the SARS-CoV-2 visus is an extreme world wide challenge to mankind's health. Current approaches to manage this challenge rely on reliable testing as well as the development of vaccination which both depend on the stability of specific sequences of the viral genome. Sequencing of viral genomes from patient samples provides deep insights on pathogen dynamics in terms of phylogeny and evolution allowing for spreading analysis and adaptation of molecular diagnostic and prevention strategies. Hence, the automatic dynamic analysis of data derived from v...
The cultural determinants of the Covid-19 diffusion
The aim of our research proposal is to undertake an empirical approach that will allow us to understand the cultural determinants of COVID-19 spread in all European countries, USA, China and Canada. The project will identify and quantify the impact of a number of cultural determinants on the virus diffusion such as interpersonal trust, trust in government, political parties and institutions, gender roles in society given that men and women have different degrees of risk aversion, compliance to rules, the degree of socialization and of integration of old people in societies. In view of the d...
DICO-Lux: DIgital Covid-19 Observatory In LUXembourg: An Open Tool For SARS-COV-2 Crisis Manageme...
Monitoring online activities for public health purposes has been investigated since the first days of the digital epidemiology field early 2010s, with the objective of capturing health-related trends and model disease outbreaks. Most famous examples of internet surveillance were developed for the flu, influenza AH1N1, the Zika virus or Ebola. We now have the opportunity to leverage both the digital data available online and the appropriate Natural Language Processing (NLP) and Text Mining methods to fight the Covid-19 pandemic. The main objective of the DICO-LUX project is to rapidly d...
