We will have another workshop with extended scope in January 2025:
https://events.icecube.wisc.edu/event/243/
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 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.
Zoom Link (passcode will be sent to participants)
https://udel.zoom.us/j/93931346766
Hybrid Mode: on site + 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:
We will have a number of invited and contributed talks. To allow for plenty of time for discussion, talks should be planned including 10 minutes of questions, so 35+10 or 20+10. 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. We also have a few flash talks for students of 10+5 min duration.
Proceedings:
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.
https://zenodo.org/communities/ml-airshowers-bartol2022/
Location (changed):
Embassy Suites by Hilton Newark Wilmington South
654 S College Ave, Newark, DE, US
(Do to recent Covid restrictions, the workshop has moved to the Embassy Suites hotel which is close to the University of Delaware stadium.)
Travel:
Recommended airport is Philadelphia (PHL), but other airports are possible, in particular, if you rent a car to come to Newark DE (not Newark NJ).
From PHL you can take an airport shuttle:
Delaware Express Shuttle https://delexpress.com/reservations ; use Group Discount code 114906
Further travel information is available here: http://www.udel.edu/visitus/
Hotel:
You are responsible for your room reservation / cancellations.
Here is a link to the new conference hotel. You may be able to get better deals by thirdparty websites.
https://www.hilton.com/en/hotels/newdees-embassy-suites-newark-wilmington-south/
The "Baymont by Wyndham Newark I-95 at University of Delaware" is a cheaper hotel option right next to the conference hotel.
If you stay somewhere else (e.g., at the Marriott): because the workshop is not held on campus, you are not allowed to use the UD shuttle which is free of charge and has a stop at the stadium close to the hotel.
Dining:
There are limited options available at and close by the conference hotel. More options are available downtown at Main Street (see bottom right).
Conference Fee:
We plan to charge a small fee of 100 USD for participation on site and of 50 USD for remote participation to cover local and administrative cost (sorry, no reimbursements possible).
Pay here: http://www.udel.edu/machinelearning
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 (N95 mask or equivalent recommended)
- Vaccination mandate including a booster for those eligible (or a PCR test within taken within the last 72 hours; a delayed test result is your risk and would exclude you from any in-person events).
- Fill a daily health questionaire and only participate in the workshop if you get cleared: http://covidcheck.udel.edu
Contact:
Feel free to reach out to the organisation committee if you have any questions.
