Progressives know we need to work together beyond our usual “silos,” yet effective collaboration is the exception rather than the rule. Even as movement leaders increasingly realize how important this is, most lack the skills and tools to make it work. Luckily, some very smart people are on the case.
KPI's and goals are fully open and transparent to all employees, which in turn is depolarizing the company. Employees are able to self-select projects or even create new ones with less, or even no, top down approval. Self-organizing teams and decentralized authority for individual employees is the standard. The use of short feedback cycles and goals have a motivating impact for employees and teams. Social technologies are woven into all corners of the organization, using activity streams, file sharing, wikis, task management and even teleprescence robots. Curiosity is supported by embracing experimentation Employees and partners are proud to be a part of an organization due to its higher purpose -- how its products are creating a better world in ecological, health and/or social terms.
In such different domains as statistical physics and spin glasses, neurosciences, social science, economics and finance, large ensemble of interacting individuals taking their decisions either in accordance (mainstream) or against (hipsters) the majority are ubiquitous. Yet, trying hard to be different often ends up in hipsters consistently taking the same decisions, in other words all looking alike. We resolve this apparent paradox studying a canonical model of statistical physics, enriched by incorporating the delays necessary for information to be communicated. We show a generic phase transition in the system: when hipsters are too slow in detecting the trends, they will keep making the same choices and therefore remain correlated as time goes by, while their trend evolves in time as a periodic function. This is true as long as the majority of the population is made of hipsters. Otherwise, hipsters will be, again, largely aligned, towards a constant direction which is imposed by the mainstream choices. Beyond the choice of the best suit to wear this winter, this study may have important implications in understanding dynamics of inhibitory networks of the brain or investment strategies finance, or the understanding of emergent dynamics in social science, domains in which delays of communication and the geometry of the systems are prominent.
The hipster effect: When anticonformists all look the same Jonathan Touboul
Note from Beth: How do we build networks and movements around important social change issues. A generative social impact network links people together through relationships. They create social capital or value by making their skills, resources, and knowledge available to each other.
The percolation properties of networks are strongly affected by their topological features. A new study shows that percolation can proceed at different rates in the core and periphery of a complex, clustered network.
Recent empirical studies using large-scale datasets have validated the Granovetter hypothesis on the structure of the society in that there are strongly wired communities connected by weak ties. However, as interaction between individuals takes place in diverse contexts, these communities turn out to be overlapping. This implies that the society has a multi-layered structure, where the layers represent the different contexts. To model this structure we begin with a single-layer weighted social network (WSN) model showing the Granovetterian structure. We find that when merging such WSN models, sufficient amount of inter-layer correlation is needed to maintain the relationship between topology and link weights but these correlations destroy the enhancement in the community overlap due to multiple layers. To resolve this, we devise a geographic multi-layer WSN model, where the indirect inter-layer correlations due to the geographic constraints of individuals enhance the overlaps between the communities and, at the same time, the Granovetterian structure is preserved.
Learning and knowledge rests in diversity of opinions. Learning is a process of connecting specialized nodes, or information sources. Learning may reside in non-human appliances: learning can rest in a community, a network, or a database. Learning is more critical than knowing. Maintaining and nurturing connections is needed to facilitate continual learning. Perceiving connections between fields, ideas and concepts is a core skill. Currency – as accurate, up-to-date knowledge – is the intent of learning activities. Decision-making is in itself a learning process. Choosing what to learn and the meaning of incoming information is seen through the lens of a shifting reality.
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