research-ethics

What problem does it solve?

Research ethics planning often stalls social science work because teams must translate ethical principles into concrete IRB-ready documents, consent language, and data privacy controls, especially when using human subjects, sensitive data, deception, or AI-assisted workflows.

Core Features & Use Cases

• IRB protocol support: Helps you determine likely review level and assemble an application-ready structure covering purpose, recruitment, risks/benefits, data management, privacy/confidentiality, and compensation.
• Informed consent drafting: Produces complete consent form elements (plain-language purpose, procedures, risks, confidentiality, voluntariness, withdrawal, incentives, and contacts) with a reusable template.
• Data privacy compliance guidance: Maps GDPR/PIPL/HIPAA/Common Rule expectations into practical checklists, including minimization, retention, security measures, and cross-border transfer considerations.
• High-risk scenario coverage: Addresses vulnerable populations, deception-with-debriefing requirements, and ethics for social media/scraped data (anonymization, transparency, and context harm).
• AI ethics guardrails: Guides disclosure of AI use, validation against human coding, bias assessment, human oversight, and protecting participant data from unsafe external processing.
• When to use: Planning human-subject studies, handling PII/sensitive social data, preparing ethics submissions, and aligning study design with compliance requirements.

Quick Start

Use the research-ethics skill to draft an IRB application package for my study by listing the participant population, describing recruitment and consent procedures, and producing privacy and data-retention commitments aligned with GDPR or PIPL.