Project Details


Diversity permeates our everyday life and covers many dimensions, such as competence, culture, gender or economic across humans and social relations. Technology has evolved to a point where humans from diverse backgrounds, cultures,
and experiences have an unprecedented ability to connect with each other. Yet technology does not in-and-by-itself provide support for developing and maintaining the social relationships that transcend geographical and cultural backgrounds.
WeNet addresses this gap by providing a diversity-aware, machine-mediated paradigm of social relations. The goal is connecting people that can support each other, and the key is leveraging their diversity. The WeNet paradigm includes a
family of computational diversity-aware models supporting human interaction. Learning models construct diversity profiles based on people's past behaviour and interactions. A diversity-aware search builds upon these profiles to connect the "right"
people together. To support people’s interactions, a diversity alignment mechanism lifts communication barriers to ensure
that messages between humans are interpreted correctly, and a diversity-aware incentive mechanism generates incentives
to motivate people to support each other. The entire paradigm is developed taking into consideration ethical guidelines. The WeNet platform provides the technological infrastructure to set out a series of studies that will be carried within universities
worldwide with diverse student populations, and with the final goal of improving students' quality of life inside and outside the academic environment. Beyond universities, WeNet's innovative paradigm impacts human interactions in general, especially those that may benefit from a collaborative approach (creative industries, medical diagnosis, ...). The WeNet consortium will develop a research infrastructure that will allow the exploitation of the project results and strengthen the European innovation eco-system in a worldwide perspective.
Effective start/end date01/01/201930/06/2023

Collaborative partners

  • University of Trento
  • Open University of Cyprus
  • Ben-Gurion University of the Negev
  • Martel GMBH
  • U-Hopper
  • Agencia Estatal Consejo superior de investigaciones cientificas
  • Fondation de l'institut de recherche
  • The London School of Economics and Political Science
  • Eberhard Karls Universität Tübingen
  • Universidad Católica Nuestra Señora de la Asunción
  • National University of Mongolia
  • Amrita Vishwa Vidyapeetham
  • Instituto Potosino de Investigacion Cientifica y Tecnologica
  • Jilin University


Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.
  • Generalization and Personalization of Mobile Sensing-Based Mood Inference Models: An Analysis of College Students in Eight Countries

    Meegahapola, Lakmal (Recipient), Droz, William (Recipient), de Götzen, Amalia (Recipient), Kun, Peter (Recipient), Nutakki, Chaitanya (Recipient), Diwakar, Shyam (Recipient), Ruiz-Correa, Salvador (Recipient), Song, Donglei (Recipient), Xu, Hao (Recipient), Bidoglia, Miriam (Recipient), Gaskell, George (Recipient), Chagnaa, Altangerel (Recipient), Ganbold, Amarasanaa (Recipient), Zundui, Tsolmon (Recipient), Miorandi, Daniele (Recipient), Hume, Alethia (Recipient), Zarza, Hose Luis (Recipient), Cernuzzi, Luca (Recipient), Bison, Ivano (Recipient), Rodas Britez, Marcelo (Recipient), Busso, Matteo (Recipient), Chenu-Abente, Ronald (Recipient), Gunel, Can (Recipient), Giunchiglia, Fausto (Recipient), Schelenz, Laura (Recipient) & Gatica-Perez, Daniel (Recipient), 11 Oct 2023

    Prize: Research, education and innovation prizes