Tender Details

Country: Germany
Summary: Strategic Preview of Artificial Intelligence and Synthetic Biology (Ai-Synbio)
DET Ref No: 127105711
Deadline: 03 Nov 2025
Financier: Self Financed
Purchaser Ownership: Government
Tender Value: Refer Document
Notice Type: Tender
Document Ref. No.: 3525840100-BiT
Purchaser's Detail:
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Description:
The project aims to systematically analyze the current state of knowledge of AI applications in the area of genetic engineering in order to support both risk assessment and science -based political advice. Development of GVOS, the use of AI, risk assessment and regulatory requirements. the AI technology itself, but about the analysis of structural changes caused by the use of AI in genetic engineering, as well as whose Consequences for risk assessment, especially with regard to the environmental risk assessment in genetic engineering.
In work package 1, a profound literature search for AI applications in the area of GMO and synbio developments is initially carried out. Im Work package 2 is to be organized an international conference on which current AI GVO applications, trend developments and possible consequences for risk assessment are scientifically discussed. In-Silico Development of three GVO case examples. AI generated GVOS together. become can.
Documents:

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Strategic Preview of Artificial Intelligence and Synthetic Biology (Ai-Synbio) - Germany Tender

The FEDERAL OFFICE FOR NATURE CONSERVATION, a Government sector organization in Germany, has announced a new tender for Strategic Preview of Artificial Intelligence and Synthetic Biology (Ai-Synbio). This tender is published on GermanyTenders under DET Ref No: 127105711 and is categorized as a Tender. Interested and eligible suppliers are invited to participate by reviewing the tender documents and submitting their bids before the deadline on 2025-11-03.

The estimated tender value is Refer Document, and full details, including technical specifications and submission requirements, are provided in the official tender documents. Ensure all submissions meet the criteria outlined to be considered for evaluation.