AI meets Finance

In the data analysis competition of the Cognitive Systems Lab (University of Bremen), participants will compete throughout March for prize money of 1500 euros and attractive material prizes.

The Student Track is aimed at students.

News

Ablauf

BBDC_schedule

Prizes

1. Prize 500€

Individual trophy, hoodie, and bottle

2-4. 400-100€

Medal & Hoodie/T-Shirt

5-30. Platz

T-Shirts & Sticker​

We also provide each participant with a certificate of participation upon request.

Participation

Sign Up Info

  • The registration of a team takes place via the Abgabesystem
  • he team name must be at least 3 characters long
  • For registration, the following details must be provided for all team members:
    • Full Name
    •  Affiliation
    • Personal E-Mail-Address
  • If you encounter any issues with registration or login, you can contact us at bbdc@uni-bremen.de.

Task Files

  • You can find the task files and more in the login area.
  • To submit a solution, use the Abgabesystem 
  • Use the login credentials you registered with for this: Teamname and Teampasswort.
  • There, you can directly upload a text file (in UTF-8 format) that should comply with the format described in the task description. 
  • Otherwise, it will be considered invalid, and you will receive an appropriate error message 
  • For a valid submission, you will see the score for this and all previous submissions 
  • The leaderboard, on the other hand, is based only on your best submission.

Submission Attempts

  • The number of submission attempts is limited. 
  • At the beginning of each week of the challenge (i.e., on March 1st, March 8th, March 15th, etc.), you will receive 3 new submission attempts, which you can also save up over several weeks. 
  • If you have used up all your attempts, you will not be able to make any further submissions until the beginning of the next challenge week. 
  • An invalid submission does not consume a token. If you join the challenge later, you will still have all the attempts from the previous week available (i.e., if you register on March 9th, you will immediately have 6 attempts).

Conditions for Student Track

  • Only students who are enrolled at universities are allowed to participate in the Student Track. 
    • For the award ceremony, each winner must present a valid enrollment certificate for the duration of the challenge.
    • Individuals and teams of up to 3 members are allowed to participate (hereinafter, the term 'team' also refers to individuals). 
      • Each person is only allowed to participate in one team. Consent to the confidentiality agreement (regarding the provided data) is required for each participant 
      • This declaration is given before the competition by agreeing with a checkbox during registration and is digitally stored. 
  • Individuals who, in the course of their activities (e.g., thesis, student assistant position, or employment), have access to the explicit task description or data of one of the tracks are excluded from participation. Similarly, any violation of the terms and conditions will result in the exclusion of the team from the competition.
  • IData exchange and collaboration between teams is allowed and encouraged. It is also permitted to use related data sources, but the use of exact solution data (the data with which the submissions are evaluated), whether received or applied, is prohibited.
  • To determine the winners, the prediction error of each submitted solution is calculated according to the criteria described in the task description. All submitted solutions are sorted in ascending order by this error measure. In case of a tie, a panel of experts will decide. The team ranked first on this list wins the Student Track. Other positions may also win prizes. The winners will be notified by email after the end of the challenge.
  • We reserve the right to only accept solutions that can be fully traced for examination. In addition to the actual program, this also includes the libraries used and the additional data sources that have been used beyond the data provided. Incomprehensible submissions and suspicions of plagiarism are reviewed by an independent jury of experts, which can pronounce an exclusion.

Leaderboard

FAQ

In the Student Track: All students in their Bachelor's or Master's program. For more information: Terms and Conditions.

Either individually or in a team of up to 3 people.

From February 1st to March 31st, via the submission system. Even with later registration, the full number of tokens will be available.

See Prizes

Students of the University of Bremen can have their BBDC solution credited as a practical part in the BBDC seminar (summer semester). More information on Stud.IP or via email:bbdc@uni-bremen.de.

No prior experience in the field of Big Data is required for participation. However, solid programming skills in any programming language are expected.

The challenge will take place from March 1, 2025, to March 31, 2025
Then simply subscribe to the newsletter by sending a blank email to bbdc-join@mailman.zfn.uni-bremen.de send. Unsubscribe via bbdc-leave@mailman.zfn.uni-bremen.de.
 
From the network of the University of Bremen, the Newsletter Link can be used.
 
 
The just send an email to bbdc@uni-bremen.de or ask on out Discord Server.

Privacy Notice

All personal data collected as part of the competition (name, email address, and university or employer of the participants, as well as IP addresses) will only be processed and stored within the University of Bremen and solely for the purposes of the competition. The names of the competition winners will be published with their consent

Event Day

Kooperationen

Im Rahmen der Bremen Big Data Challenge 2024 arbeitet die BBDC mit dem Human Centered Systems Lab (H-Lab) des Karlsruher Instituts für Technologie (KIT) zusammen. Diese Kooperation ermöglicht es uns, hochwertige Daten für die Aufgabenstellung der Multi-Klassen Klassifikation bereitzustellen.

Die Aufgabe der Challenge besteht darin, anhand von Biosignalen Emotionen und Kontext-Informationen vorherzusagen. Diese Daten wurden auf vier Jobmessen mit Smartwatches von 54 Proband:innen erfasst. Die Smartwatches zeichneten kontinuierlich Bewegungsdaten über Beschleunigungssensoren auf und erfassten Photo-Plethysmographie (PPG) Daten, aus denen die Herzrate und die „inter beat intervals“ (Ibi) berechnet wurden. Während des Messebesuchs wurden die Proband:innen zudem regelmäßig nach ihren Emotionen und dem entsprechenden Kontext gefragt.