STFC School on Data Intensive Science 2020

from Monday, 12 October 2020 (09:00) to Friday, 16 October 2020 (16:00)
Zoom Meeting

        : Sessions
    /     : Talks
        : Breaks
12 Oct 2020
13 Oct 2020
14 Oct 2020
15 Oct 2020
16 Oct 2020
AM
09:00 Welcome and Introduction - Philip James Carsten Welsch (University of Liverpool)   ()
09:15 No Silver Bullet -- Pitfalls and Limitations in Machine Learning - Kurt Rinnert   ()
10:00 --- Break ---
10:30
Parallel Session ML/AI (until 12:30) ()
10:30 HEP NN training - Gregor Ksieczka   ()
10:30 Introduction to ML - Meirin Oan Evans   ()
10:30 Scikit/Keras - Adrian Bevan   ()
09:00 Human-aware AI - Paulo Lisboa   ()
10:00 --- Break ---
10:30
Parallel Session Data Analysis (until 12:30) ()
10:30 Big Data Python ecosystem for HEP - Eduardo Rodrigues   ()
10:30 Demystifying "Big Data" - Andy Newsam   ()
10:30 Preparation of large datasets for machine learning - Isabell Melzer-Pellmann   ()
09:00 Making data work for you - Louise Butcher   ()
10:00 --- Break ---
10:30
Parallel Session: Distributed programming (until 12:30) ()
10:30 Git Demystified - Mark Dawson   ()
10:30 Virtual universes vs. the real thing - Andreea Font Ian McCarthy   ()
09:00
Careers in data science - case studies (until 10:00) ()
09:00 Case Study 1 - Edward Jones   ()
09:15 --- Q&A ---
09:20 Case Study 2 - Paul Graham   ()
09:35 --- Q&A ---
09:40 Case Study 3 - Sunil Mistry   ()
09:55 --- Q&A ---
10:00 --- Break ---
10:30
Parallel Session (until 12:30) ()
09:00
Kaggle competition (until 12:15) ()
PM
12:30 --- Break ---
13:30
Parallel Session ML/AI (until 15:30) ()
13:30 HEP NN training - Lisa Benato Gregor Ksieczka   ()
13:30 Introduction to ML - Meirin Oan Evans   ()
13:30 Scikit/Keras - Adrian Bevan   ()
15:30 --- Break ---
15:45
Poster Presentations (until 17:00) ()
12:30 --- Break ---
13:30
Parallel Session Data Analysis (until 15:30) ()
13:30 Big Data Python ecosystem for HEP - Eduardo Rodrigues   ()
13:30 Demystifying "Big Data" - Andy Newsam    ()
13:30 Preparation of large datasets for machine learning - Isabell Melzer-Pellmann   ()
15:30 --- Break ---
15:45
Poster Presentations (until 17:00) ()
19:00
Public talk on Options and Opportunities for Health Data Science (until 20:00) ()
12:30 --- Free afternoon ---
20:00
Live astronomy with the Liverpool Telescope (until 22:00) ()
12:30 --- Break ---
13:30
Parallel Session (until 15:30) ()
15:30 --- Break ---
16:00
Industry Careers Workshop (until 18:00) ()
18:20 Online Escape Room   ()
12:15 A student's placement experience - Alexander Hill   ()
12:30 --- Break ---
13:00
Prize ceremony and Close - David Hutchcroft (University of Liverpool) (until 13:30) ()