Human decisions are prone to biases, and this is no less true for decisions made within data visualizations. Bias mitigation strategies often focus on the person, by educating people about their biases, typically with little success. We focus instead on the system, presenting the first evidence that altering the design of an interactive visualizati...
The aim of this master thesis is to investigate the affordances and limitations of using information visualization methods to visualize errors in real-time video streaming data. The study was carried in Red Bee Media company by following several steps including user research, prototyping, and user evaluation. The user research produced design requi...
We contribute a systematic review of online visualizations of the Bitcoin blockchain. Bitcoin is currently the most active cryptocurrency with the largest market share among other cryptocurrencies. It has attracted a large user base and more and more businesses are beginning to accept Bitcoin as payment. While there are still relatively few visuali...
De nombreux documents concernant l'émergence, la propagation ou le suivi de maladies humaines et animales sont quotidiennement publiés sur le Web. Afin de prévenir l'expansion des maladies, les épidémiologistes doivent constamment rechercher ces documents et les étudier afin de détecter les foyers de propagation le plus tôt possible. Dans cette thè...
L'analyse de données de plus en plus complexes, volumineuses et issues de différentes sources (e.g. internet, médias sociaux, etc.) est une tâche difficile. Elle reste cependant cruciale dans de très nombreux domaines d'application. Elle implique, pour pouvoir en extraire des connaissances, de mieux comprendre la nature des données, leur évolution ...
L'analyse de données de plus en plus complexes, volumineuses et issues de différentes sources (e.g. internet, médias sociaux, etc.) est une tâche difficile. Elle reste cependant cruciale dans de très nombreux domaines d'application. Elle implique, pour pouvoir en extraire des connaissances, de mieux comprendre la nature des données, leur évolution ...
Published in Journal of Big Data
In the era of Big Data, with the increasing use of large-scale data-driven applications, visualization of very large high-resolution images and extracting useful information (searching for specific targets or rare signal events) from these images can pose challenges to the current display wall technologies. At Bellarmine University, we have set up ...
Published in BMC Medical Informatics and Decision Making
BackgroundPharmacovigilance consists in monitoring and preventing the occurrence of adverse drug reactions (ADR). This activity requires the collection and analysis of data from the patient record or any other sources to find clues of a causality link between the drug and the ADR. This can be time-consuming because often patient data are heterogene...
Published in Landscape Ecology
ContextPlant invasions of native ecosystems are one of the main causes of declines in biodiversity via system-simplification. Restoring native biodiversity can be particularly challenging in landscapes where invasive species have become dominant and where a new set of feedbacks reinforce an invaded state and preclude restoration actions. We lack an...
The citizen science paradigm and the practices related to it have for the last decade called a wide attention, beyond academics, in many application fields with as a result a significant impact on discipline-specific research processes and on information sciences as such. Indeed, in the specific context of minor heritage (tangible and intangible cu...
