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International Training Network of Statistics for High Energy Physics and Society

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Media

New articles about Insights

  • Il progetto Insights alla Federico II, La Repubblica, Napoli, May 2019
  • The rise of deep learning, CERN Courier, July 2018

 

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Authors

  • Daria Morozova
    • Meet the ESRs: Daria Morozova
  • diegofdv
    • Meet the ESRs: Diego Fernandez
  • dorigo
    • INSIGHTS ITN Blog – Post Zero
  • fpriuli
    • European Researchers’ Night @ Rome
    • Subjective probability and data-driven decision making
    • Data-driven decision making
    • Pangea Formazione INSIGHTS @ Rome
  • glendouglascowan
    • Walking, talking, and quacking like a Higgs boson
  • Vasyl Hafych
    • Meet the ESRs: Vasyl Hafych
  • Luca Lista
    • INFN School of Statistics
    • INFN School of Statistics
    • Insights now on Facebook
    • INFN School of Statistics 2019
  • lukaslayer
    • Exploring Stromboli volcano with unsupervised Machine Learning
  • mfauccig
    • The value that is keeping Italy in lockdown
    • Not an exponential curve fit: a data analysis exercise on COVID-19 Italian data trying to estimate the number of infected people
    • Generating events with GANs
    • University of Edinburgh
  • Nathan Simpson
    • Meet the ESRs: Nathan Simpson
  • pimverschuuren
    • Visiting the Dutchies: A Statistical Modeling Workshop
    • Meet the ESRs: Pim Verschuuren
  • rahulb95
    • Meet the ESRs: Rahul Balasubramanian
  • spalazzo89
    • Meet the ESRs: Serena Palazzo
  • uuap077
    • Infections and identified cases of COVID-19 from random testing data – Allen Caldwell, Max Planck Institute for Physics, Munich
  • vindex10
    • Meet ESR: Victor Ananyev
  • Sitong An
    • Meet the ESRs: Sitong An
    • INSIGHTS visits DESY: the first Terascale School of Machine Learning

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Upcoming Events

  • INSIGHTS Team Meeting February 10, 2023 at 2:00 pm – 3:00 pm
  • INSIGHTS Team Meeting February 10, 2023 at 2:00 pm – 3:00 pm

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Insights is funded by the European Union’s Horizon 2020 research and innovation programme, call H2020-MSCA-ITN-2017, under Grant Agreement n. 765710.
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