The Planetary Nervous System is a large-scale distributed research platform that provides real-time social mining services as a public good. Existing Big Data systems threaten social cohesion as they are designed to be closed, proprietary, privacy-intrusive and discriminatory. In contrast, the Planetary Nervous System is an open, privacy-preserving and participatory platform designed to be collectively built by citizens and for citizens.
The Planetary Nervous System is enabled by Internet of Things technologies and aims at seamlessly interconnecting a large number of different pervasive devices, e.g. mobile phones, smart sensors, etc. For this purpose, several universal state-of-the-art protocols and communication means are introduced. A novel social mining paradigm shift is engineered: Users are provided with freedom and incentives to share, collect and, at the same time, protect data of their digital environment in real-time. In this way, social mining turns into a knowledge extraction service of public good.
The social mining services of the Planetary Nervous System can be publicly used for building novel innovative applications. Whether you would like to detect an earthquake, perform a secure evacuation or discover the hot spots of a visited city, the Planetary Nervous system makes this possible by collectively mining social activity of participatory citizens.
More information about the Nervousnet project can be found here.
- Evangelos Pournaras, Jovan Nikolic, Alex Omerzel, Dirk Helbing, Engineering Democratization in Internet of Things Data Analytics, in the proceedings of the 31st IEEE International Conference on Advanced Information Networking and Applications-AINA-2017, Taiwan, March 2017 © IEEE
- Federico Musciotto, Saverio Delpriori, Paolo Castagno and Evangelos Pournaras, Mining Social Interactions in Privacy-preserving Temporal Networks, in the proceedings of the 2nd International Workshop on Dynamics in Networks-DyNo 2016, San Francisco, CA, USA, August 2016
- Evangelos Pournaras, Jovan Nikolic, Pablo Velasquez, Marcello Trovati, Nik Bessis and Dirk Helbing, Self-regulatory Information Sharing in Participatory Social Sensing, The European Physical Journal Data Science, 5:14, 2016 © SpringerOpen [Presentation]
- Dirk Helbing and Evangelos Pournaras, Build Digital Democracy, Nature, Vol. 527, pp. 33-34, 2015 © Macmillan Publishers Limited
- Evangelos Pournaras, Izabela Moise and Dirk Helbing, Privacy-preserving Ubiquitous Social Mining via Modular and Compositional Virtual Sensors, in the proceedings of the 29th IEEE International Conference on Advanced Information Networking and Applications-AINA-2015, pages 332-338, Gwangju, South Korea, March 2015. © IEEE [Presentation]