Month: July 2019
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Data Science for Social Good (DSSG) Summer Fellowship programme
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High-profile data horror stories are becoming increasingly common, from Facebook’s relationship with Cambridge Analytica to the leak of UK diplomatic cables and massive security breaches at some of the world’s biggest companies.
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Scale interactions and anisotropy in stable boundary layers
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Some of the strongest challenges for numerical weather prediction come from the unsteady nature of certain flows, in particular nocturnal and stable boundary layers.
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Condensation of degrees emerging through a first-order phase transition in classical random graphs
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When steam condenses from vapour into liquid, the water molecules move closely together and the system, from a mathematical point of view, comes to reside in an extremely small portion of the conceptually available phase space.
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Effective bandwidth of non-Markovian packet traffic
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Telecommunications engineers and operations researchers aim to manage complex and fluctuating traffic flows through extended networks. Among other techniques, they have exploited results from the theory of large deviations to estimate the likelihood that a demand in service will overflow the available […]