Diversity is part of our everyday life. Technology, despite its evolution, still struggles when it comes to helping develop and maintain social relationships that transcend geographical and cultural backgrounds. WeNet addresses this gap by providing a diversity-aware, machine-mediated paradigm for social interactions. WeNet platform and its ecosystem allow to get insights on these topics through the WeNet Online Course.
The course is designed as a self-paced online course, free and open to anyone, to give the opportunity to participants to study at the time and place that better suit their personal needs. Moreover, the course offers the opportunity to get badges and a certificate at the end of the course upon successful completion of the assessment activities.
The course tracks
You can choose any or all of the available tracks to enrol:
- Track 1: An introduction to the basic scientific and research notions which are core to the WeNet vision such as diversity, social interactions, social relations, incentives, ethics, service design.
- Track 2: Introduction to the WeNet research infrastructure. Learners are introduced on how to organize data collection campaigns that are able to, securely and in a privacy-aware way, generate diversity preserving datasets. How to prepare, analyse and catalogue these datasets for the previous purposes will also be introduced and demonstrated.
- Track 3: Introduction to the WeNet Platform. Learners are presented with a more technical approach on how to build applications on top of the WeNet Platform. Learners get to know how to build diversity-aware applications. In this track learners are guided through the whole process of building apps using the WeNet platform, frameworks and tools.
The WeNet consortium includes experts from many different scientific fields. More than 15 researchers and practitioners worked to prepare the learning material of the course. Among these, we have experts who excel in their scientific field of research and provide valuable knowledge and insights for the project:
George Gaskell | London School of Economics
Fausto Giunchiglia | University of Trento
Carles Sierra | Artificial Intelligence Research Institute (IIIA) of the Spanish National Research Council (CSIC)
Daniel Gatica-Perez | Idiap Research Institute (EPFL)
Loizos Michael | Open University of Cyprus
Kobi Gal | Ben-Gurion University of the Negev
Ivano Bison | University of Trento
Amalia de Götzen | Aalborg University
Jessica Heesen | University of Tübingen
Ronald Chenu Abente Acosta | University of Trento
Daniele Miorandi | U-Hopper