Call for participation to the Summer School on AI Technologies for Trust, Interoperability and Autonomy in Industry 4.0

Dear Semantic Web community,

This is a *call for participation* to a summer school in a period when 
the Covid-19 crisis may not be over yet in many countries.
Please read carefully our plan to manage potential travel restrictions. 
The summer school will take place in late July in France, when a strong 
improvement in the situation related to Covid-19 is foreseen. However, 
in case some countries still have restrictions on travelling, we will 
propose an innovative on-line/off-line participation allowing 
participants to remotely attend the keynotes and courses, and to realise 
the practical exercises by accessing services that are deployed in 
factories running in three sites (Nuremberg,  Saint-Étienne, St Gallen). 
Students will participate to the deployment of distributed and 
decentralized connected Industry 4.0

AI for Industry 4.0: models and technologies
========================== CALL FOR PARTICIPATION =================
Call for participation to the Summer School on
AI Technologies for Trust, Interoperability and Autonomy in Industry 4.0
27th to 31st of July 2020
Saint-Étienne, France

We invite PhD students and early stage researchers from academia or 
industry to apply to the summer school we organise 27th to 31st of July 
2020 on the topic of AI Technologies for Trust, Interoperability and 
Autonomy in Industry 4.0, in a collaboration between French and German 
This summer school will have a unique format where participants will be 
intensively working on concrete industry use cases: we plan to dedicate 
most of the summer school to hands-on sessions while providing an 
overview of the theoretical foundations underlying the practical work.

The summer school will address various aspects of AI in Industry 4.0 (or 
Industry of the future) with a particular focus on:
* knowledge graphs
* the web of things
* decentralised AI
* responsible AI
Each of these topics will be covered in lectures and practical sessions, 
then applied to the industry use cases to devise potential solutions.

Expected candidates and benefits
We welcome applications from PhD students and early stage researchers 
that have already some knowledge in at least one of the topics above, 
but want to broaden their perspective and have a chance to apply their 
skills on real problems. The benefits for the participants are:
* learn or improve knowledge in several areas of Artificial Intelligence
* get in touch with high profile researchers and professors
* build a network with other talented young researchers
* hack together plausible solutions to stimulating real-life problems
* have the opportunity to further develop your approach in collaboration 
with industry partners

How to apply

We will limit the number of participants to 30 people. Therefore, in 
case we receive too many applications, we will select attendees based on 
their résumés and cover letter. Please use the form at to submit them in a 
single file.

The registration fees are 300 € including meals, coffee breaks, lunches 
and special event dinner and accommodation at the student residence of 
Mines Saint-Étienne, for those participating on site. Reduced fees for 
remote participants will be 150 €. Thanks to our sponsorships, some fees 
may be waived. If you need a fee waiver, please send us a motivation 
letter, and we will consider your request in the limit of our budget.

* Opening of application for participation: 27 February 2020
* End of application: 15 May 2020
* Notification of acceptance: 20 May 2020
* Deadline for registration: 15 June 2020
* Summer school: 27-31 July 2020

Contact and organising institutions
Main contact:
Mines de Saint-Étienne
Université Jean Monnet Saint-Étienne
Friedrich-Alexander-Universität Erlangen-Nürnberg
Fraunhofer IIS-SCS

Antoine Zimmermann
ISCOD / LSTI - Institut Henri Fayol
École Nationale Supérieure des Mines de Saint-Étienne
158 cours Fauriel
42023 Saint-Étienne Cedex 2
Tél:+33(0)4 77 42 66 03
Fax:+33(0)4 77 42 66 66

Received on Tuesday, 21 April 2020 07:01:56 UTC