Tristan McIntosh's project data from 2026 involves stakeholder engagement to address ethical challenges in neurotechnology academia-industry partnerships. The dataset likely contains survey responses from seven distinct stakeholder groups, including patients, neuroethicists, and industry representatives. Data collection procedures included screening and demographic surveys.
Use Cases
- Analyzing stakeholder perspectives on ethical challenges based on the described participant groups
- Comparing institutional mission conflicts between academia and industry based on the project's stated focus
- Mapping demographic characteristics of neurotechnology stakeholders based on the screening survey mentioned
Strengths
- Engaged seven distinct stakeholder groups with defined sample sizes (e.g., Patients N=16)
- Focuses on a specific, high-impact domain: neurotechnology ethics in partnerships
- Project description provides clear context for the data's purpose and collection method
Limitations
- Column-level documentation is absent; field semantics must be inferred after download
- Row count is unknown, which may limit suitability assessment
- Description metadata is limited; actual data quality requires manual inspection after download
Provenance
- Source
- QDR Harvested Dataverse
- Collection Method
- Likely contains survey responses from stakeholder groups recruited via ResearchMatch and snowball sampling.
- Freshness
- Last updated 2026-05-04 07:13:08; freshness should be verified
- Geography
- Stakeholders located across the United States.