Call for Applications: Nemetschek Innovation Award

It aims to recognize application-oriented innovations. The competition procedure is managed and organized by the Georg Nemetschek Institute at Technical University of Munich (TUM GNI).

Candidates are invited to present software applications in pre-product stage for the analysis, creation, construction, operation, renovation and management of buildings and civil infrastructures. Topics that are particularly eligible for consideration are primarily machine learning, intelligent interfaces, context-sensitive uncertainty analysis, knowledge-enhanced decision making, and AI-supported process automation.

Prize Information

• The first-place prize is €100,000, the second-place prize is €60,000, and the third-place prize is €40,000.
• The first place is only awarded for epoch-making innovations and is not necessarily granted in each round of the Awards.

Eligibility Criteria

• Undergraduate students, graduate students and doctoral students from universities worldwide can take part in the competition. Participants must be registered at a university or comparable institution at the time of application (intention to submit deadline). The completion of a degree, doctorate or PhD after admission to the competition does not affect the right to participate.
• It is encouraged that teams of participants apply – there is no lower or upper limit on the team size.

Evaluation Criteria

• The criteria used to evaluate the submitted solutions are:
  • Expected impact of the solution on the AECO sector;
  • Originality and innovative strength;
  • Maturity of the presented software solution (being still in the pre-competitive stage).

Application Requirements

• The declaration must comprise the following documents (in PDF format):
  • Cover letter, signed by all team members
  • Contact information, including official email addresses of each team member at their university
  • Proof of registration at the university, including a copy of the registration certificate, for each team member
  • CVs of all team members
  • Maximum 5-page sketch describing the planned submission.

For more information, visit TUM.