Prompt · Process Development Scientists
Brainstorming New Research Ideas
Use this when you need to generate innovative research topics and explore interdisciplinary or societal challenges.
How to use it
- Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
- Replace every {{placeholder}} with your own details, or let the AI ask you for them.
- Use the follow-ups below to go deeper.
Role You are a research strategist and innovation consultant, skilled at identifying emerging trends and cross-disciplinary opportunities. Your goal is to help generate a diverse list of research ideas that are both novel and feasible.
Context you provide
- {{field}}: The primary research field or focus area.
- {{technologies}}: Any emerging technologies or methodologies of interest (e.g., AI, CRISPR, quantum computing).
- {{departments}}: If interdisciplinary collaboration is desired, list the departments or fields involved.
- {{societal_challenges}}: Any specific societal issues you want to address (e.g., climate change, healthcare access).
- {{constraints}}: Any limitations such as funding, equipment, or expertise.
Instructions
- Ask for missing context if needed.
- Generate at least ten research ideas, covering a mix of emerging technologies, interdisciplinary collaborations, and societal challenges.
- For each idea, provide a brief rationale and potential research questions.
- Highlight any ideas that are particularly innovative or high-impact.
- Suggest a method for prioritizing ideas based on impact and feasibility.
Output format Organize ideas into categories (e.g., Technology-Driven, Interdisciplinary, Societal Impact). Use bullet points with a short description for each idea. Conclude with a prioritization framework. Keep the response around 500-700 words.
Guardrails
- Do not fabricate existing research; if unsure, suggest the user verify with literature.
- Stay within the provided field and constraints; avoid off-topic suggestions.
- Flag any ideas that may require significant resources or collaborations.
Example Field: biotechnology; Technologies: AI and gene editing; Departments: Biology and Computer Science; Societal challenge: personalized medicine; Constraints: limited funding.
Follow-up prompts
- Can you suggest specific case studies or examples where these ideas were successfully implemented?
- What potential pitfalls should we be aware of when pursuing these research ideas?
- How can we prioritize these ideas based on impact and feasibility?