On this page, we will shortly gather information about preventing the risk of corruption.
To improve its employees’ awareness and help them prevent conflicts of interest and risk of corruption, the university has compiled Guidelines on preventing, identifying and solving conflicts of interest and corruption-prone situations.
Based on clause 11 (3) 4) of the Anti-corruption Act, the senate of the University of Tartu has provided in clause 8 of the Regulations for secret votes that if a decision is made in a decision-making body and the secret vote decides a matter regarding a person connected with a member of the decision-making body as defined in the Anti-corruption Act, the member of the decision-making body has a right to remove him- or herself from the vote and the discussion of the matter The decision-making bodies in which this principle is followed are the university senate and councils of faculties, institutes, colleges and university institutions. Different principles have been taken into account when setting up decision-making bodies of the university, the most important of which are the representation of academic staff, professional and scientific expertise and administrative responsibilities. If all persons who are connected to the person who is currently subject to a decision (e.g. election to a position) within the meaning of the Anti-corruption Act are excluded from the decision-making body, the decision-making body may lose its substantive competence to make that decision at all. Therefore, all connected persons are not automatically removed from the decision-making body but are given the right to be removed from the decision making if they feel unable to remain impartial when making a decision.
On 10 July 2020, the University of Tartu and Apromore Pty Ltd concluded a research and development agreement (volume in the first year 132,400.80 euros), executed by Professor of Information Systems of the UT Institute of Computer Science Marlon Dumas. Prof. Dumas has declared his conflict of interests due to participation in the company contracting the development work. During the development project, the architecture and data mining algorithms of the Apromore business process analysis platform will be studied, planned and developed further. Prof. Dumas has the specific knowledge of these topics from the previous research cooperation with the University of Melbourne, of which Apromore Pyt Ltd is a spin-off. The University of Tartu can engage in the specific development of the Apromore platform only in cooperation with the aforementioned company, as the competitors of Apromore use their own solutions in which the Apromore-specific knowledge of prof. Dumas cannot be applied. Prof. Dumas leads the given field of research at the University of Tartu and is the only one to have the required level of knowledge about the architecture and data mining algorithms of Apromore. During the cooperation project, at least one student will have the opportunity to get the experience of developing the Apromore platform and participating in an industrial project. In addition, it is important to note that the previous joint research related to Apromore by Marlon Dumas and the researchers of the University of Melbourne can be further developed and commercialised only in cooperation with the spin-off company Apromore Pyt Ltd.