IN2P3 School of Statistics 2026

Enquête

SOS2026 Survey

About you

You work in (check all relevant boxes)*

accelerator physics

nuclear physics

theory

particle physics

high-energy astrophysics

cosmology

neutrino

private company

other

if you chose "other", please specify:

Your position*

Lecturer/Professor

Staff researcher

Engineer/technician

Postdoctoral researcher

PHD student

Undergraduate

Other

if you chose "other", please specify:

How have you been made aware of the school?*

colleagues

announcement email

Lettre IN2P3

other

If you chose "other", please specify:

What are the reasons for which you attended the school?*

School organisation

Did you get all needed information before coming to the school?*

yes

no

Did you find all necessary information on the indico page?*

yes

no

Do you know about the sos.in2p3.fr website?*

yes

no

Suggestions to improve communication:

How easy was it to reach the school location?*

Awful

OK

Easy

How did you find the quality of the accommodation?*

Awful

Poor

Average

Good

Very good

How did you find the quality of the meals?*

Awful

Poor

Average

Good

Very good

How did you find the quality of the coffee breaks?*

Awful

Poor

Average

Good

Very good

How did you find the school environnement (location, amenities, etc)?*

Awful

Poor

Average

Good

Very good

How did you find the room and equipment in the lecture room?*

Awful

Poor

Average

Good

Very good

Any suggestions/remarks about the practical organisation and quality of accomodation?

About the daily amount of lectures*

Too high

Adequate

Too low

About the duration of lectures*

Too long

Adequate

Too short

About the duration of breaks*

Too long

Adequate

Too short

Any comment/suggestions about the schedule?

About the possibility to ask questions to lecturers*

It was easy

It was difficult

There was not enough time

School content

How did you find the balance between basic concepts and advanced methods?*

I would have preferred to spend more time on basics

I would have preferred to spend more time on advanced methods

The balance was good

How did you find the balance between lectures and hands-on sessions?*

I would have preferred to spend more time on lectures

I would have preferred to spend more time on hands-on sessions

The balance was good

Rate the variety of subjects addressed over the different sessions*

Satisfactory

Too few subjects

Too many subjects

Balance between machine learning lectures and other subjects*

Good balance

Too much machine learning

Not enough machine learning

Provide suggestions of subjects for the next school editions

Do you think the school will help you in your day to day research work?*

maybe

yes

no

Suggestions to improve the school in general

Lectures on fundamental concepts

Level of lectures on basic concepts (Romain Madar)*

Too high

High

Average

Low

Pedagogy of lectures on basic concepts*

Good

Average

Low

Any suggestions/comments on the basic concepts lectures

Level of lectures on intervals and limits (Nicolas Berger and Lydia Brenner)*

Too high

High

Average

Low

Pedagogy of lectures on intervals and limits*

Good

Average

Low

How did you find the group activities (throwing balls at a target)?*

Useful

Interesting

Interactive

Not guided enough

Too long

Too short

Adapted

Not adapted

Any suggestions/comments on the intervals and limits lectures?

Lectures on machine learning

Level of introductory lecture on Machine learning (Vincent Barra)*

Too high

High

Average

Low

Pedagogy of introductory lecture on Machine learning*

Good

Average

Low

Additional comments on the introductory lecture on machine learning

Level of boosted decision trees lecture (Yann Coadou)*

Too high

High

Average

Low

Pedagogy of boosted decision trees lecture*

Good

Average

Low

Additional comments on the boosted decision trees lecture

Level of introduction to deep learning lecture (Florian Ruppin)*

Too high

High

Average

Low

Pedagogy of deep learning lecture*

Good

Average

Low

Additional comments on the deep learning lecture

Lectures on advanced statistics methods

Level of "Bayesian statistics and sampling techniques" lecture (Florian Ruppin and Cyrille Doux)*

Too high

High

Average

Low

Pedagogy of "Bayesian statistics and sampling techniques" lecture*

Good

Average

Low

Additional comments on the "Bayesian inference with Markov chains" lecture

Level of "Simulation based inference" lecture (Cyrille Doux)*

Too high

High

Average

Low

Pedagogy of "Simulation based inference" lecture*

Good

Average

Low

Additional comments on "Simulation based inference" lecture

Hands-on sessions

Before the school, you were already familiar with:

python basics

pythonic coding (list comprehension, lambda function, zip, generators, iterators)

jupyter notebooks

numpy, matplotlib, pandas

scipy

scikit-learn

BDT (any flavour)

tensorflow

pytorch

Google Colab

running on your own PC (conda)

During the hands-ons, you chose to use*

Colab

local environment (anaconda, etc)

How convenient was Google Colab for you?*

Very inconvenient

Inconvenient

Convenient

Great

I used a local installation instead

Did you attend the preparatory python lessons before school? (Romain Madar)*

Oui

Non

Additional comments on "Python tutorial" session

Level of statistics hands-on session (Nicolas Berger and Lydia Brenner)*

Too high

High

Average

Low

Pedagogy of statistics hands-on session*

Good

Average

Low

Any technical difficulties on statistics hands-on or additional comments?

Level of basics machine leaning hands-on session (Yann Coadou)*

Too high

High

Average

Low

Pedagogy of basics machine leaning hands-on session*

Good

Average

Low

Any technical difficulties on basics machine learning hands-on session or additional comments?

Level of deep learning hands-on session (Florian Ruppin)*

Too high

High

Average

Low

Pedagogy of deep learning hands-on session*

Good

Average

Low

Level of bayesian statistics hands-on session (Florian Ruppin and Cyrille Doux)*

Too high

High

Average

Low

Pedagogy of bayesian statistics hands-on session*

Good

Average

Low

Any technical difficulties on deep learning hands-on session?

Additional general comments on Hands-ons

• Were these as you expected?
• Do you think they will be useful in practice for your projects?
• Any improvements to suggest on the content or format?

Opening lectures

How did you find the lecture on the impacts of AI? (Steven Schramm)*

Appropriate for the school

Not appropriate

Interesting

Not interesting

Useful

Not useful

How did you find the lecture on foundation models? (François Lanusse)*

Appropriate for the school

Not appropriate

Interesting

Not interesting

Useful

Not useful

Any other comments?

Hackathon

We experimented this year by proposing a mini-hackathon and would like your feedback.

Were you aware of the hackathon before the school?*

Oui

Non

Did you know you could provide your own problems?*

Oui

Non

How did you find it overall?

Useful

Not useful

Appropriate

Not appropriate

Clearly organized

Poorly organized

The time devoted to the hackathon was

Pas de sélection

Adequate

Too long

Too short

Final comments, remarks and suggestions

Positive aspects

Negative aspects

Any other remark or suggestion?

How likely is it that you would recommend SOS 2028 to a colleague or student ?

Pas de sélection

very unlikely

unlikely

likely

very likely

certain

Vos réponses seront envoyées anonymement.