In an era of rampant platformization, the deplatformed - like Alex Jones and Donald Trump - have emerged as a rarefied class of media celebrity, conspicuous by their absence on mainstream social media.
The proliferation of AI in many aspects of human life from personal leisure, to collaborative professional work, to global policy decisions poses a sharp question about how to prepare people for an interconnected, fast-changing world which is increasingly becoming saturated with technological devices and agentic machines. What kinds of capabilities do people need in a world infused with AI? How can we conceptualise these capabilities? How can we help learners develop them? How can we empirically study and assess their development? With this paper, we open the discussion by adopting a dialogical knowledge-making approach. Our team of 11 co-authors participated in an orchestrated written discussion. Engaging in a semi-independent and semi-joint written polylogue, we assembled a pool of ideas of what these capabilities are and how learners could be helped to develop them. Simultaneously, we discussed conceptual and methodological ideas that would enable us to test and refine our hypotheti
The largest land-dwelling mammal in America, bison aid in balancing and maintaining a healthy ecosystem and help to create habitat for many species, including plants and birds. Their hooves aerate the soil, dispersing seeds and helping plants to grow. Widespread restoration of bison to Northern Great Plains Tribal lands can help support food sovereignty and aid in the restoration of the prairie ecosystem.
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The ease with which anyone can create online content for free, especially on social media, has led to superabundance of information being one of the defining characteristics of today s communication systems. This situation has resulted in increasingly intense competition for attention, which has become a scarce good. The researchers from the Complex Systems group (CoSIN3) at the UOC s Internet Interdisciplinary Institute (IN3) María José Palazzi and Albert Solé professor at the Faculty of Computer Science, Multimedia and Telecommunications? , led by Javier Borge, have participated in the design of an ecology-inspired mathematical model that makes it possible to break down and predict interaction patterns in a system as complex as the Twitter social network.