The main aims of the project are:- to understand the process of collective emotions formation in e-communities as a spontaneous emergent behaviour occurring at complex techno-social networks- to create decentralized adaptive tools to amplify positive or suppress negative collective emotions in e-societies and will take into account heterogeneity of interacting humans- to create theoretical background for the development of the next generation emotionally-intelligent ICT services using models of self-organized active agents models, and sociophysics methods.The project focuses on the role of collective emotions in creating, forming and breaking-up of e-communities. Understanding these phenomena is important in view of the growing role of ICT-mediated social interactions and specific features of e-communities.The challenge of this interdisciplinary project is to combine both: psychological models of emotional interactions and algorithmic methods for detection and classification of human emotions in the Internet with probabilistic models of complex systems and data driven simulations based on heterogeneous emotionally reacting agents approach. Theoretical foundations will mainly base on statistical physics applied for study of emergent properties of many-object systems interacting in self-organized evolving networks.Empirically, we concentrate on the issue of how to support and maintain emotional climates of security, trust, hope, and freedom in future techno-social communities and how to prevent and resolve conflicts in them. Data on human emotions as well as on their influence on the structure of sustainable cooperative communities will be received from Blogoshere, newsgroups and Internet discussion forums and compared to computer simulations based on active agents models. Finally, we plan to develop artificial agents that can help to influence emotional states of the members of e-communities and can act as cyber-advisers.