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9:00 AM
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Registration
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9:30 AM
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Welcome presentations
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10:30 AM
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--- Break for Tea ---
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11:00 AM
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Introduction of High Energy Physics software and data analysis
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James Libby
James Libby
Verena Ingrid Martinez Outschoorn
(University of Massachusetts (US))
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9:30 AM
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Scientific Python
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Peter Elmer
(Princeton University (US))
David Lange
(Princeton University (US))
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11:00 AM
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--- Break for Tea ---
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11:30 AM
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Scientific Python
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David Lange
(Princeton University (US))
Peter Elmer
(Princeton University (US))
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9:30 AM
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Introduction of Machine Learning
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Michelle Kuchera
(Davidson College)
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11:00 AM
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Group Photo
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11:05 AM
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--- Break for Tea ---
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11:30 AM
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Introduction of Machine Learning
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Michelle Kuchera
(Davidson College)
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9:30 AM
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Introduction to Machine Learning (Bonus session)
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Michelle Kuchera
(Davidson College)
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11:00 AM
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--- Break for Tea ---
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11:30 AM
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Parallel: Introduction to Belle-II software and analysis
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Michel Hernandez Villanueva
(Brookhaven National Laboratory (US))
Giacomo De Pietro
(Karlsruhe Institute of Technology)
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11:30 AM
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Parallel: Topical AI/ML hackathon
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Jay Ajitbhai Sandesara
(University of Wisconsin Madison (US))
Abhishikth Mallampalli
(University of Wisconsin Madison (US))
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9:30 AM
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Belle II Software
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Giacomo De Pietro
(Karlsruhe Institute of Technology)
Michel Hernandez Villanueva
(Brookhaven National Laboratory (US))
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9:30 AM
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SBI/LLM hackathon
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Abhishikth Mallampalli
(University of Wisconsin Madison (US))
Jay Ajitbhai Sandesara
(University of Wisconsin Madison (US))
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10:15 AM
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Hackathon summaries
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10:45 AM
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--- Break for Tea ---
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11:15 AM
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Topical Lecture - What Enables Research in Experimental Particle Physics?
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Peter Elmer
(Princeton University (US))
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12:50 PM
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Getting connected
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1:00 PM
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--- Lunch ---
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2:00 PM
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Scientific Python
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Peter Elmer
(Princeton University (US))
David Lange
(Princeton University (US))
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3:30 PM
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--- Break for Tea ---
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4:00 PM
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Scientific Python
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Peter Elmer
(Princeton University (US))
David Lange
(Princeton University (US))
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5:30 PM
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Introductions
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1:00 PM
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--- Lunch ---
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2:00 PM
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Introduction to Machine Learning
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Michelle Kuchera
(Davidson College)
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3:30 PM
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--- Break for Tea ---
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4:00 PM
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Introduction to Machine Learning
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Michelle Kuchera
(Davidson College)
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1:00 PM
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--- Lunch ---
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2:00 PM
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Introduction to Simulation-Based Inference
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Jay Ajitbhai Sandesara
(University of Wisconsin Madison (US))
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3:30 PM
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--- Break for Tea ---
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4:00 PM
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Introduction to Belle-II software and analysis
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Giacomo De Pietro
(Karlsruhe Institute of Technology)
Michel Hernandez Villanueva
(Brookhaven National Laboratory (US))
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4:00 PM
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Parallel: Topical AI/ML hackathon
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Abhishikth Mallampalli
(University of Wisconsin Madison (US))
Jay Ajitbhai Sandesara
(University of Wisconsin Madison (US))
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7:30 PM
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Workshop Dinner
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1:00 PM
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--- Lunch ---
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2:00 PM
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Parallel: Introduction to Belle-II software and analysis
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Giacomo De Pietro
(Karlsruhe Institute of Technology)
Michel Hernandez Villanueva
(Brookhaven National Laboratory (US))
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2:00 PM
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Parallel: Topical AI/ML hackathon
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Abhishikth Mallampalli
(University of Wisconsin Madison (US))
Jay Ajitbhai Sandesara
(University of Wisconsin Madison (US))
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3:30 PM
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--- Break for Tea ---
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4:00 PM
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Parallel: Introduction to Belle-II software and analysis
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Giacomo De Pietro
(Karlsruhe Institute of Technology)
Michel Hernandez Villanueva
(Brookhaven National Laboratory (US))
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4:00 PM
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Parallel: Topical AI/ML hackathon
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Abhishikth Mallampalli
(University of Wisconsin Madison (US))
Jay Ajitbhai Sandesara
(University of Wisconsin Madison (US))
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12:15 PM
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Workshop Wrapup
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1:00 PM
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--- Lunch ---
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