Resilience

Resilience – defining a concept

Eline Rietberg defined the concept ‘resilience’ by studying it in the context of the internet technology Information-Centric Networking (ICN) and the context of sharing information in human collaboration. What is exchangeable and what isn’t? What would it be like if AI could support collaboration in future?

Focus internet
ICN is a network architecture with the focus on finding information(or content, data), in which resilience is mentioned as one of the advantages compared to the focus of conversation between two machines. An example is watching a movie on Netflix. By pressing play, you search for ‘content’, not the host server. Netflix has built their network in such a way that they don’t have to send movies from one huge data center to another. They choose caches installed by internet providers and send the movie from there. A hardware or software component that stores data so future requests for this data can be fulfilled faster in future. Data becomes independent from location, application, storage and ways of transportation as in-network caching and replication become possible. More efficient, better scalable regarding information and more robust in challenging communication scenarios. How does this form of resilience relate to social resilience and can these two worlds connect seamlessly?

Türing point
Eline Rietberg investigated the gap between digital appearance, human reality and sense making and looked into what is transferable. Nodes, connectivity, knowledge sharing, information caching. Eline Rietberg’s research focus was to find out at what point of complexity the analogy between digital networks and social networks will no longer hold. At what point of complexity professionals from both sides could learn from each other and at what point it is less efficient or leads to false positives. This led to a clear description of this analogy trade-off point. At this ‘Türing point’ one definitely sees the difference between human networks and digital networks.