Programme – ADA X

Stéphane Mallat

Collège de France

Frosso Doutsi

FORTH-ICS

Samuel Farrens

CosmoStat, CEA Paris-Saclay

Alan Heavens

Imperial College London

Elena Sellentin

Leiden University

François Lanusse

CosmoStat, CEA Paris-Saclay

Anna Bonaldi

SKAO project

Session 1	Tile	Speaker
9:00	Welcome	Organisers
9:15	Learning Physics from Data with Multiscale Interaction Models	Stéphane Mallat
10:30	Coffee break
11:00	Fundamentals of Image Processing - Part A	Frosso Doutsi
12:00	Lunch

Session 2	Tile	Speaker
14:00	Speed Networking
15:00	Fundamentals of Image Processing - Part B	Frosso Doutsi
16:30	Coffee Break
17:00	Fundamentals of Image Processing - Part C	Frosso Doutsi
18:00	End of Session
19:00	Welcome Cocktail

Session 3	Tile	Speaker
9:00	Scientific Software Development	Samuel Farrens
10:00	Coffee Break
10:30	Bayesian Methods - Part A [Materials]	Alan Heavens
12:00	Lunch

Session 5	Tile	Speaker
9:00	Euclid Mathematical & Processing Challenges	Elena Sellentin
10:00	Coffee Break
10:30	Introduction to Machine Learning - Part A	François Lanusse
12:00	Lunch

Session 6	Tile	Speaker
15:00	Introduction to Machine Learning - Part B	François Lanusse
16:30	Coffee Break
17:00	Introduction to Machine Learning - Part C	François Lanusse
18:00	End of Day

Session 7	Tile	Speaker
9:00	SKA and its Data Challenge	Anna Bonaldi
10:00	Coffee Break
10:30	Learning Slot (AMA)	Organisers
11:30	ADA-X Datathon Example project [GitHub]	Organisers
12:00	Lunch
15:00	Team Work/Free Time
18:00	End of Day

Speed Networking: To help participants break the ice, we will organise a 1-hour slot "Speed Networking" event on Monday afternoon. Everyone will be asked to split into pairs and introduce themselves to each other. After a few minutes, the participants will need to split into new pairs. We will repeat this a few times and encourage the participants to continue to get to know each other during the week.
Welcome Cocktail: On Monday evening the participants will be welcomed to the ADA X summer school with a cocktail. This will be great opportunity for socialising with the other participants and speakers.
Learning Slot: On Thursday morning we will organise a 1-hour "Learning Slot" (i.e. an ask-me-anything session). The objective of this session is to provide a safe space free of any judgement where the participants will be encouraged to ask any questions they want related to the week's sessions, in particular those that they would perhaps be too embarrassed to ask at a conference (e.g. "What is a redshift?").
ADA-X Datathon: Finally, on Thursday the participants will be given a team challenge to prepare a mock project proposal to be presented on Friday morning. The objective will be to split into teams of two or three people and come up with a plan to solve problem that will be described on Thursday morning. Participants will be given 5-min to present their plan and the everyone will act as an evaluation panel to vote on which project they would most like to fund.