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Systematic Uncertainties

Today I am traveling to Banff, a pleasant mountain resort in western Canada, to attend a workshop on systematic uncertainties. Yes, you heard that right - a bunch of physicists and statisticians will be gathering in a secluded location for a whole week, with the sole purpose of debating on that exotic topic. How weird is that? ....

Tommaso Dorigo , University Of Padova , Machine Learning , Lukas Layer ,

2020 Review, 2021 Agenda


Everybody would agree that 2020 was a difficult time for all of us - the pandemic forced on us dramatic changes in our way of living, working, and interacting with one another; and let s leave alone the horrible, avoidable death toll that came with it. Notwithstanding, for some reason it was a productive year for me, and one which has potentially paved the ground for an even more productive future. Below I will summarize, if only for myself, the most important work milestones of the past year, and the ones that lay ahead in the forthcoming months. But I will also touch on a few ancillary activities and their outcome, for the record. ....

New York , United States , Bruno Scarpa , Martina Fumanelli , Jan Kieseler , Schumann Kreisleriana , Giovanni Bianchi , Marta Felcini , Matteo Galzigna , Chiara Maccani , Murray Gell Mann , Andrea Idini , Castro Manzano , Hevjin Yarar , Thesis Award Committee , Artificial Intelligence For Physics Research , Statistics Department , Nuclear Physics News International , International Data Analysis Olympiad , Carnegie Mellon University , Statistics Committee , Machine Learning Optimization , Physics News , Steering Board , Pablo De Castro Manzano , Artificial Intelligence ,