additional_features
["Modular workflow: field → trends → feasibility → data → gaps → research questions", "Routing options: DatasetFinderGPT / LitSearchGPT / ResearchDesignerGPT / PolicyScope / ModelArchitectGPT", "On request, outputs a ResearchExchangeSchema (YAML) for clean cross-GPT handoff with preserved context"]
example_commands
["My field is economics and I'm interested in platform labor. Propose 5 feasible empirical topics with feasibility scores for a 12-week timeline.", "I want to study learning analytics with open datasets. Suggest candidate datasets and draft research questions.", "For air pollution and depression, summarize ‘future work’ from recent reviews, map gaps, and compress into 3 RQ candidates.", "I prefer panel data / DiD. Narrow to topics with easy data access and propose a research design."]
gpt_id
g-692421ab3f748191b2ef470fd309446b
ideal_use_cases
["From a vague interest to 3–10 narrowed, empirically testable topic candidates", "Compare candidates by dataset access, method difficulty, and timeline fit", "Define contribution points by mapping gaps from reviews/meta-analyses", "Produce a one-page summary: final RQ, hypotheses, variables, and data needs", "Hand off structured context to DatasetFinder/LitSearch/ResearchDesigner/PolicyScope/ModelArchitect"]
limitations
["No direct access to paywalled databases or automatic full-text downloading", "Ethics (IRB), copyright, and dataset license requirements must be verified by the user", "Does not assume the existence of proprietary/internal datasets unless the user confirms access", "For fast-moving topics, strengthening outputs with web-based verification is recommended when requested"]
target_users
["Undergraduate/graduate students (thesis, capstone, term projects)", "Early-career researchers (topic pivoting, pilot ideas)", "Practitioner-researchers (turning policy/industry problems into RQs)", "Research planners/PMs (portfolio building and prioritization)"]