Strengthen the link between innovation and research

Analysis and data processing

The purpose of the “Analysis and Data Processing” MiniLab is to analyze Big Data. It currently focuses on two all-encompassing issues that are data optimization and reliability. To respond to the need to optimize databases, researchers affiliated with the MiniLabs develop tools and methods for grouping databases from different sources in a complementary, coherent, consolidated way, and based on which relevant, robust analyses can be conducted. This first challenge piggybacks on a second issue—that of data reliability. In that respect, the MiniLab is fostering thinking about measuring the degree of uncertainty that results from a lack of data reliability in simulations and forecasting, especially as pertains to natural and meteorological risks.

Co-facilitators Stève Bernadin : steve.bernardin@enpc.fr Sophie Laruelle : sophie.laruelle@u-pec.fr

Captors and uses

Le MiniLab « Analyse et Traitement de données » se consacre à l’analyse de BigData. Il est structuré, pour l’heure, autour de deux problématiques englobantes que sont l’optimisation et la fiabilisation des données. Pour répondre à cette volonté d’optimiser les bases de données, les chercheurs affiliés aux MiniLab développent des outils et méthodes permettant de regrouper des bases de données issues de différentes sources dans un ensemble complémentaire, cohérent et regroupé à partir duquel des analyses pertinentes et robustes pourront être menées. Cette première problématique fait ainsi le lien avec la seconde problématique propre à la question de la fiabilisation des données. Dans cette perspective, le MiniLab engage des réflexions sur la mesure de l’incertitude générée par l’absence de fiabilité des données dans la simulation/prévision, notamment des risques naturels et météorologiques.

Co-facilitators Kostas Chatzis : kostas.chatzis@enpc.fr Eva Dokladalova : eva.dokladalova@esiee.fr

Visualizations

Visualization describes both a science and techniques for designing and using information that, once processed, can give way hypotheses, allowing for the development of solutions and/or building knowledge. However, visualization in times of crisis differs from visualization during researchers’ more typical down time. Decision makers must have access to information quickly and in a way that is understandable. The visualization display must therefore be functional immediately. To meet this challenge, the “Visualizations” MiniLab centers on three scientific considerations: 1) the representation of complex data, including probabilistic information; 2) co-design and co-creation with users, so that the visualization meets the requirements and skills of the latter, and; 3) extraction and use of textual information and images. The MiniLab’s research aims to:

  • Co-build knowledge of territories;
  • Co-build the visualization tools with the end user;
  • Produce of geovisualization that is useful for analysis and decision-making.
Co-facilitators Sidonie Christophe : sidonie.christophe@ign.fr Florence Jacquinod : jacquinod@gmail.com

Information flow in a degraded conditions

As the causes of deterioration can be multiple (flooding, earthquakes, terrorist attacks, crowd movements, etc.), the “Information flow in degraded conditions” MiniLab incorporates technological and societal issues. The MiniLab strives to address a variety of topics, including the needs of target users, the quality of the data, the interpretation and transfer of information in crisis situations, and even the societal impact of deteriorated information (fake news, etc.). Although the MiniLab focus on deteriorated conditions, per its title, thinking on information flows prior to crisis situations is being enacted, notably with regard to flood prevention. In this way, the goals of the research being conducted in this MiniLab are extremely diverse:

  • Top-down warning system;
  • Prioritization, assembly and synthesis of information for emergency services;
  • Communication under stress and during crises;
  • The sharing and misinterpretation of information;
  • The link between information, visualization and interpretation;
  • Reconstitution of damaged texts.
Co-facilitators Bruno Barroca : bruno.barroca@u-pem.fr Laurent George : Laurent.george@esiee.fr