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Science Hub Unilodz
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  • ABOUT THE COMPETITION
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  • TIMELINE
  • ABOUT THE COMPETITION
  • WHO CAN APPLY?
  • TIMELINE

ABOUT THE COMPETITION

 

The project implemented as part of Science Hub UniLodz – IEEF Edition has an educational and research-oriented character. Its objective is for the selected team to develop a functional solution, i.e. a tool for visualizing financial flows based on account transaction history provided in a flat file (CSV).

Challenge details:

The input data, in tabular form, will include, among others: the transaction amount, transaction date, recipient (name or unique identifier), and transfer sender (name or unique identifier).

The output of the program should be a graphic (vector-based or in high resolution) presenting a selected diagram of financial flows. The tool should allow the analysis to be narrowed to a group of selected entities or a specified time range.

The tool should take the form of a script written in a high-level programming language (Python or R) and use only free modules and libraries. The script should include comments or brief documentation so that users with minimal programming knowledge are able to modify input parameters (path to input and output files, column names in the input file, scope of analysis, selected graphic parameters).

Challenge details:

The input data, in tabular form, will include, among others: the transaction amount, transaction date, recipient (name or unique identifier), and transfer sender (name or unique identifier).

The output of the program should be a graphic (vector-based or in high resolution) presenting a selected diagram of financial flows. The tool should allow the analysis to be narrowed to a group of selected entities or a specified time range.

The tool should take the form of a script written in a high-level programming language (Python or R) and use only free modules and libraries. The script should include comments or brief documentation so that users with minimal programming knowledge are able to modify input parameters (path to input and output files, column names in the input file, scope of analysis, selected graphic parameters).

 

WHO CAN APPLY?

It is essential that the students are enrolled in first- or second-cycle degree programmes at the University of Łódź (any mode of study, i.e. full-time or part-time).

The supervisor may be an academic staff member employed at the University of Łódź or a person approved by the IEEF.

Due to the nature of the challenge, it is preferred that both students and academic supervisors are affiliated with the following faculties: Economics and Sociology, Management, Physics and Applied Informatics, or Mathematics and Informatics.

Important:

● A team may consist of a maximum of three students and one supervisor.

● Each team may submit only one competition project proposal.

● A supervisor may be a member of only one team.

 

TIMELINE

22 August – 3 October 2025 Submission of applications

Files for download are available in the DOCUMENTS tab.

7 October 2025 Publication of the list of teams entered into the competition and announcement of the winner on the website: www.sciencehub.uni.lodz.pl

8–10 October 2025 Signing of contracts with members of the selected team

13–24 October 2025 Training sessions organized by the Technology Transfer Center (CTT) and consultations with an IEEF representative

The final stage of the training is a competency test, which team members are required to pass.

25 October – 23 November 2025 Project implementation

As part of this stage, the team is additionally required to:

● participate in one consultation with an IEEF representative towards the end of the project implementation (the date will be communicated to team members by email);

● prepare a final report and MVP documentation (guidelines for the report are included in the competition regulations).

24–28 November 2025 Final presentation

The exact date of the presentation will be communicated to team members by email.

WHO CAN APPLY?

It is essential that the students are enrolled in first- or second-cycle degree programmes at the University of Łódź (any mode of study, i.e. full-time or part-time).

The supervisor may be an academic staff member employed at the University of Łódź or a person approved by the IEEF.

Due to the nature of the challenge, it is preferred that both students and academic supervisors are affiliated with the following faculties: Economics and Sociology, Management, Physics and Applied Informatics, or Mathematics and Informatics.

Important:

● A team may consist of a maximum of three students and one supervisor.

● Each team may submit only one competition project proposal.

● A supervisor may be a member of only one team.

TIMELINE

 

22 August – 3 October 2025 Submission of applications

Files for download are available in the DOCUMENTS tab.

7 October 2025 Publication of the list of teams entered into the competition and announcement of the winner on the website: www.sciencehub.uni.lodz.pl

8–10 October 2025 Signing of contracts with members of the selected team

13–24 October 2025 Training sessions organized by the Technology Transfer Center (CTT) and consultations with an IEEF representative

The final stage of the training is a competency test, which team members are required to pass.

25 October – 23 November 2025 Project implementation

As part of this stage, the team is additionally required to:

● participate in one consultation with an IEEF representative towards the end of the project implementation (the date will be communicated to team members by email);

● prepare a final report and MVP documentation (guidelines for the report are included in the competition regulations).

24–28 November 2025 Final presentation

The exact date of the presentation will be communicated to team members by email.ABOUT THE COMPETITION

The project implemented as part of Science Hub UniLodz – IEEF Edition has an educational and research-oriented character. Its objective is for the selected team to develop a functional solution, i.e. a tool for visualizing financial flows based on account transaction history provided in a flat file (CSV).

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[translate to english:] ikony mediów społecznościowych

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