DataNinja Spring School 2023
Spring School Information
8th to 10th of May 2023, Hybrid Event; A limited number of in-person seats are available, so we encourage you to register early to secure your spot!; Virtual attendees may join up until shortly before the event. There will be a poster session on 09th of May at 15:00 PM.DataNinja Spring School 2023
Organizers: Barbara Hammer, Ulrike Kuhl
We are excited to invite you to the 2nd Data-NInJA Spring School, which will take place from May 8th to May 10th, 2023 in hybrid mode. This year’s theme is “Trustworthy AI: Building Safe and Reliable Solutions”, and we have a fantastic line-up of speakers who will be sharing their insights on reinforcement learning, the social and ethical impact of Artificial Intelligence, with a special focus on sustainability, and causal inference in Machine Learning.
The Data-NInJA Spring School is aimed at PhD students, master students and interested researchers from the broad area of Artificial Intelligence and Machine Learning. At this event, participants will learn about latest trends and developments in trustworthy AI from leading experts in the field)
- Prof. Virgina Dignum (Umeå University, Sweden)
- Prof. Ann Nowé (Vrije Universiteit Brussel, Belgium)
- Prof. Christian Igel (University of Copenhagen, Denmark)
- Dr. Martin Riedmiller (Google DeepMind)
- Prof. Jonas Peters (University of Copenhagen, Denmark)
Lectures will be complemented by tutorial style talks, geared towards providing hands-on experience and application or transfer of methods to own tasks and problems. In addition, participants will have the opportunity to showcase their own work in a virtual poster session. This is a wonderful chance for students, researchers, and practitioners to share their ideas, get feedback, and network with others in the field. We strongly encourage all attendees to consider presenting a poster.
| Monday, 08.05.2023 | Tuesday, 09.05.2023 | Wednesday, 10.05.2023 | |
|---|---|---|---|
| 9:00 – 10:30 | Dr. Viktor Benks, LMU Munich | Prof. Christian Igel, University of Copenhagen | Dr. Martin Riedmiller, Google DeepMind |
| 10:30 | Coffee Break | Coffee Break | Coffee Break |
| 11:00 – 12:30 | Prof. Jonas Peters, University of Copenhagen | Prof. Virgina Dignum, Umeå University | Dr. Noémie Jaquier, Karlsruhe Institute of Technology |
| 12:30 | Break | Break | Break |
| 15:00 – 16.30 | Dr. Andrew Melnik, KI-Starter, Uni Bielefeld | Virtual poster session, gather.town | |
| 16:30 | Break | ||
| 17:00 – 18.30 | Prof. Ann Nowé, Vrije Universiteit Brussel |
Registration
We are happy to welcome a limited number of in-person participants on the campus of Bielefeld University. Alternatively, attendees may join virtually. Both, for joining in-person or virtually, attendance is free of admission, but advance registration is required via the following link:
https://uni-bielefeld.zoom.us/webinar/register/WN_FxCqf89gR9i6NtawCzQHaA
At registration, you will need to indicate whether you want to join in-person or virtually, and whether you plan to submit a poster.
Especially for in-person participants, we encourage you to register early to secure your spot as spaces are limited!
Important Dates
- until April 14 th , 2023, 00.00h CET: Abstract submission deadline for the virtual poster presentation and the KAI Travel Grant
- until April 21st , 2023, 00.00h CET: Poster acceptance notification
Poster Session
The virtual poster session will be held in gather.town. We look forward to hearing about your current work, be it planned, just finished, or already published. To qualify for the the poster session (and the chance to win the 2023 DataNinja Poster Prize), please
- indicate that you want to present a poster during the registration process, and
- submit a short extended abstract of up to two pages to contact@dataninja.nrw, until April 14th , 2023, 00:00h CET (note: for female in-person attendees who would like to apply for the KAI Travel Grant, also attach a CV, more information below)
Contributions will be reviewed and selected by the organizers. All workshop contributions will appear as online proceedings on our webpage.
Kunoichi in AI (KAI) Travel Grant
The Kunoichi in AI (KAI) Travel Grant is a program designed to support female attendees who wish to participate in person in the Data-NInJA Spring School. The grant provides financial assistance to cover travel and accommodation expenses, allowing more female up-and-coming scientisits to attend and benefit from this event.
To be eligible for the grant, applicants must identify as female and submit a poster for presentation at the Spring School. In addition, they must have a demonstrated interest or background in AI. Registration to the Spring School is mandatory for application.
To apply fort he KAI Travel Grant, please
- specify that you “hereby apply for the KAI Travel Grant“ within the body of the mail submitting the extended poster abstract
- also submit a CV together with the extended poster abstract
The organization committee reviews and evaluates each application based on several criteria. The KAI Travel Grant is an excellent opportunity for women to network with other professionals, learn about the latest developments in trustworthy AI, and gain exposure to new ideas and perspectives in their field.
Recipients of the (KAI) Travel Grant will be notified shortly before the event.
Expenses for travel and accommodation will be reimbursed (after the event) according to the specifications of the LRKG NRW.