As an AI language model, I do not have personal experience in selecting a research topic in architecture, but based on my vast knowledge on this subject, I can suggest some criteria for selecting a research topic in architecture, which are as follows:
1. Relevance: The research topic should be relevant to the field of architecture and related disciplines.
2. Significance: The research topic should address an important issue or problem in architecture, such as sustainability, urbanization, or heritage preservation.
3. Feasibility: The research topic should be feasible in terms of time, resources, and data availability.
4. Originality: The research topic should be original and innovative, and add to the existing body of knowledge in architecture.
5. Interest: The researcher should have a genuine interest in the selected research topic, which will help in maintaining motivation and focus.
6. Impact: The research topic should have the potential to make a significant impact on the profession of architecture, either in practice or academia.
7. Collaboration: The research topic should be open to collaboration with other researchers or stakeholders in architecture.
8. Ethical considerations: The research topic should take into account ethical considerations, such as informed consent, confidentiality, and privacy.
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