Partners: Dr. Lora Aroyo (VU, Web & Media Group), Dr. Evangelos
Kanoulas (UvA), CrowdyNews and Beeld and Geluid. It aims to enable
modern information access systems to discover and understand
controversial topics and events by bringing together different types
of crowds (niches of experts, lay crowds and engaged social media
contributors) and machines in a joint active learning workflow for the
creation of adequate training data (real-time and offline).
*”Veracity of Big Data” project*:
Partners of this project are Dr. Davide Ceolin and Dr. Lora Aroyo (VU,
Web & Media Group), Prof. Milan Petkovic and Dr. Milan Mykola
Pechenizkiy (TU/e), LanceICT and SmartHomes. It tackles the problem of
reasoning on the basis of unreliable big data. In particular, the
project focuses on the impact of unreliable sensor data (from office
and domestic environments) on existing machine learning approaches and
on how quality information can be used to increase their performance
(accuracy of trained models).