Concept
Gouvernance des données
Publications associées (38)
Extensions of Peer Prediction Incentive Mechanisms
As large, data-driven artificial intelligence models become ubiquitous, guaranteeing high data quality is imperative for constructing models. Crowdsourcing, community sensing, and data filtering have long been the standard approaches to guaranteeing or imp ...
EPFL2024Artificial intelligence of things for synergizing smarter eco-city brain, metabolism, and platform: Pioneering data-driven environmental governance
Jeffrey Huang, Simon Elias Bibri
Emerging smarter eco-cities, inherently intertwined with environmental governance, function as experimental sites for testing novel technological solutions and implementing environmental reforms aimed at addressing complex challenges. However, despite sign ...
Elsevier2024High-Quality Data Enabling Universality of Band Gap Descriptor and Discovery of Photovoltaic Perovskites
Alfredo Pasquarello, Haiyuan Wang, Wei Chen
Extensive machine-learning-assisted research has been dedicated to predicting band gaps for perovskites, driven by their immense potential in photovoltaics. Yet, the effectiveness is often hampered by the lack of high-quality band gap data sets, particular ...
Amer Chemical Soc2024Methodology for selecting measurement points that optimize information gain for model updating
Information collected through sensor measurements has the potential to improve knowledge of complex-system behavior, leading to better decisions related to system management. In this situation, and particularly when using digital twins, the quality of sens ...
2023incentive Mechanism Design for Responsible Data Governance: A Large-Scale Field Experiment
A crucial building block of responsible artificial intelligence is responsible data governance, including data collection. Its importance is also underlined in the latest EU regulations. The data should be of high quality, foremost correct and representati ...
2023Improved antibody pharmacokinetics by disruption of contiguous positive surface potential and charge reduction using alternate human framework
Andrea Pfeifer, Florence Gauye, Tariq Afroz, Monisha Ratnam
Optimal pharmacokinetic (PK) properties of therapeutic monoclonal antibodies (mAbs) are essential to achieve the desired pharmacological benefits in patients. To accomplish this, we followed an approach comprising structure-based mAb charge engineering in ...
TAYLOR & FRANCIS INC2023Quantitative assessment of research data management practice - 2021
Francesco Varrato, Chiara Gabella, Eliane Ninfa Blumer
This survey aims to investigate research data management practices at EPFL and integrate their results into specific academic services. The previous two editions, in collaboration with TU Delft, Cambridge University and Illinois University, were carried ou ...
2022Sensing Eating Events in Context: A Smartphone-Only Approach
Daniel Gatica-Perez, Lakmal Buddika Meegahapola
While the task of automatically detecting eating events has been examined in prior work using various wearable devices, the use of smartphones as standalone devices to infer eating events remains an open issue. This paper proposes a framework that infers e ...
2022Practical issues with modeling extreme Brazilian rainfall
Anthony Christopher Davison, Isolde Santos Previdelli, Paulo Vitor Da Costa Pereira
Accurately quantifying extreme rainfall is important for the design of hydraulic structures, for flood mapping and zoning and for disaster management. In order to produce maps of estimates of 25-year rainfall return levels in Brazil, we selected 893 shorte ...
BRAZILIAN STATISTICAL ASSOCIATION2021Risk governance and the rise of deepfakes
Deepfakes first came to prominence less than five years ago. Since then, they have surged in quantity and quality, becoming both a source of viral entertainment and of concern about the dark side of digital life. In this article, we provide a risk governan ...
International Risk Governance Center2021