31 January 2022 to 3 February 2022
US/Eastern timezone

Scope of the Workshop:

Machine Learning for the study of air showers is a raising topic, which meanwhile has reached all detection techniques: be it a higher precision for the reconstruction of particle-detector arrays, lowering the threshold or radio arrays, or improving the gamma-hadron separation. This workshop aims at bringing those together who actively work on machine learning in the context of air showers initiated by any type of primary particles (e.g., cosmic rays, gamma rays, or neutrinos). On purpose, we plan for a small workshop with max. 50 participants, which allows for longer talks, plenty of question time, and extended discussions over coffee and lunch break. All machine-learning methods are welcome, be it boosted decision trees, or any type of neural networks. In addition to contributed talks, we plan for invited highlight talks on recent successful applications in our field as well as machine-learning science and prevailing hardware and software techniques.


Hybrid Mode: on site (preferred) + online

Since the small workshop of the type we plan will benefit from all the informal discussions in the breaks and after the sessions, we prefer to have most participants attending on site. Nonetheless, we recognize that travelling may still be a challenge for some participants, which is why we plan for the option of online attendance at the talks.



Talks and posters:

We will have a number of invited and contributed talks. Also for contributed talks, we prefer to have longer talks with plenty of time for discussion. Please include in your presentations not simply the results, but also explain how you have achieved them, where have been problems, and what open questions are. Depending on the final number of participants, we are considering to offer students to present either a poster or a flash talk.



We plan to make abstracts and materials (e.g., PDF of any slides shown) available via this indico during the conference and afterwards upload them on Zenodo free of charge to make them available open access and to provide a citable DOI. By submitting your abstract, you agree to the Zenodo terms. If you do not want to share all of the materials shown, just upload a reduced version of the PDF instead containing only the publishable material.

There will be no written proceedings in a classical sense.



University of Delaware, Main Campus, Newark, DE 19716

(We are currently evaluating the option to have the workshop directly in the hotel instead of a university lecture room, as the hotel offers a large room which enables more than 3ft distancing.)



We have reserved rooms for a reduced price of 129 USD per night + taxes in the Courtyard by Marriott hotel close to the University Campus. The reserved rooms have two queen beds (only one breakfast is included in the rate). We also plan to have the welcome reception at this hotel.

You are responsible for your room reservation (and for potential cancellation and fees for late cancellation) at the Mariott until 31 Oct 2021.

Book your hotel here:


Booking by the end of October guarantuees you the reduced rate. After October, only the remaining rooms of a small contingent will be available on a first come first serve basis.

Slightly cheaper options may be available if you book somewhere else on your own. Ideally, you stay in short walking distance (it can be cold, rainy or snowy) or close to a UD shuttle stop.

(There is no guarantee that guests are permitted to the shuttle bus, but usually there is more than enough space and bus drivers are friendly.)


Conference Fee:

We plan to charge a small fee of 100 USD for participation on site (preferred) and of 50 USD for remote participation to cover local and administrative cost.



Please register until 31 Oct 2021. However, registrations are on a first come first serve basis and places are limited to 50 participants, only.

31 Oct 2021 is also the abstract deadline.

The deadline for the reduced hotel prices is not yet known.


Cancellation Policy:

Cancellations before 31 October will receive a full refund. We cannot guarantuee any refund for later cancellations. We are not responsible for any cancellation fee that may be charged by the hotel.


Covid Rules:

For the workshop you have to respect all Covid rules valid in Newark, Delaware and additional rules set by the University of Delaware. Currently these rules include among other measures:

  • Mask mandate indoors with only few exceptions (e.g. for vaccinated speakers while giving their talks).
  • All participants must be tested or fully vaccinated.
  • Fill a daily health questionaire and only participate in the workshop if you get cleared: http://covidcheck.udel.edu


Feel free to reach out to the organisation committee if you have any questions.

Bartol Research Institute, University of Delaware, Newark, DE
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We have submitted a request to NSF for support of this workshop. In case the request is granted, we expect to be able to offer financial travel support for a few participants. Thus, please indicate in the registration whether your participation would depend on such financial support.

The workshop is related to NSF EPSCoR T2 award (# 2019597) “RII Track-2 FEC: The IceCube EPSCoR Initiative (IEI) - IceCube and the Data Revolution”.

Acknowledgement: We thank the Univeristy of Delaware and its Departement of Physics and Astronomy for its organizational support and for the financial support by the Bartol Research Institute.

The call for abstracts is open
You can submit an abstract for reviewing.
Registration for this event is currently open.