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Whatever societies accept as ‘knowledge’ is embedded in epistemological, institutional, political, and economic power relations. How is knowledge produced under such circumstances? What is the difference between general knowledge and the sciences? Can there be science without universal truth claims? Questions like these are discussed in eleven essays from the perspective of Sociology, Law, Cultural Studies, and the Humanities.

Knowledge-based society --- cognition --- rationality

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The result of a workshop bringing together an international advisory board of experts in science, satellite technologies, industry innovations, and public policy, this book addresses the current and future roles of satellite Earth observations in solving large-scale environmental problems. The book showcases the results of engaging distinct communities to enhance our ability to identify emerging problems and to administer international regimes created to solve them. It also reviews the work of the Policy and Earth Observation Innovation Cycle (PEOIC) project, an effort aimed at assessing the impact of satellite observations on environmental policy and to propose a mission going forward that would launch an “innovation cycle”. The achievements of such a mission would feed back to innovations in next-generation observation technology, thus contributing to global policy demand for policy-relevant information.

observation-based policy --- environment --- big data

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Experimentieren --- Experimentierfähigkeiten --- Validität --- Assessment --- argument-based approach

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The paper presents a model of university teaching where students are involved in concrete activities and collaborate while developing key competences for the academic and working future. 52 students of the Degree Course in Psychology at the Sapienza University of Rome participated to the activity. The method of data collection and analysis combines qualitative and quantitative approach. Results show a general perception of skills enhancement and a good appreciation of the course, especially in comparison with traditional learning modes

skills --- collaborative learning --- project-based learning --- technologies

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Neuromorphic engineering has just reached its 25th year as a discipline. In the first two decades neuromorphic engineers focused on building models of sensors, such as silicon cochleas and retinas, and building blocks such as silicon neurons and synapses. These designs have honed our skills in implementing sensors and neural networks in VLSI using analog and mixed mode circuits. Over the last decade the address event representation has been used to interface devices and computers from different designers and even different groups. This facility has been essential for our ability to combine sensors, neural networks, and actuators into neuromorphic systems. More recently, several big projects have emerged to build very large scale neuromorphic systems. The Telluride Neuromorphic Engineering Workshop (since 1994) and the CapoCaccia Cognitive Neuromorphic Engineering Workshop (since 2009) have been instrumental not only in creating a strongly connected research community, but also in introducing different groups to each other’s hardware. Many neuromorphic systems are first created at one of these workshops. With this special research topic, we showcase the state-of-the-art in neuromorphic systems.

neuromorphic engineering --- event-based --- dynamic vision sensor --- Floating gate --- spike-based --- network --- simulation --- Learning --- Neural Network