Hosted by the Big Social Data Group at King’s College, during the morning session the workshop introduced and explored with participants a series of key concepts, in particular:
- the conceptual frame of the Human Ecosystems project, describing how multiple types of public data coming from social networks, sensors, open data sources, energy use, census and more can be captured, processed using multiple techniques (from Natural Language Processing, to Machine Learning, Network Analysis, Emotional Analysis and Geographic Analysis) to produce a set of large Data Commons, which can be used for multiple purposes including research, policy making, citizen action, collaboration, participatory and peer-to-peer organizational models, development of novel forms of economies, creation of services, artworks, designs, information visualizations, interactive experiences, digital toys, data-reactive devices and more;
- the concept of the Relational Ecosystem, describing how these massive data capturing techniques can lead to forming large linked data patterns which, in turn, lead to the possibility to understand how communities form and transform over time and place, by understanding information, knowledge, opinion, emotion and behavior flows in cities. We also focused on the many characteristics of these human networks and of their participants, including their characterization as influencers, experts, hubs, bridges among different communities, and the ways in which to create new characterizations, using network science;
- the many implications of these practices, at levels which are social, political, economic, exploring the resulting modifications of the factual and perceived concepts of public, private and intimate spheres, and the further transformations to citizens’ awareness and action which could be brought on by the availability of such a large Data Commons, and of the tools to use it, of the related education processes, of the information visualizations and on the participatory practices which could develop.
During the afternoon session:
- a series of tools from the Human Ecosystems platform was installed, giving participants the possibility to autonomously start their own data harvesting processes;
- a complete social network harvesting process for the city of London was started. The group watched the results using a variety of information visualizations which are present in the current HE toolkits (geographic, relational, networked, time-based, artistic, and more). We explored the principal steps which are required to create new ones (the structure of the data sources in the commons produced through Human Ecosystems, the many tools, libraries and Human Ecosystems API calls which can be used for this purpose).
- we finally focused on some of the participants’ projects and activities to suggest ways in which the Human Ecosystems could be used in their cases, also establishing a number of possible partnerships and opportunities which need to be explored further.
Special thanks to Mark Coté and the whole Big Social Data Group at Kink’s College to make it happen.