Research school list
Budget: $30 – $250 USD
We are looking for an experienced online researcher specialist to help us build the most comprehensive possible list of people who have attended a specific school over its lifetime. (No Placeholder bids)
Objective
Create an advanced alumni name list by identifying as many former attendees as possible using ethical methods
Scope of Work
The freelancer will:
Research publicly available sources to identify alumni names, including:
websites like discord and luma
Articles, blogs, interviews
Event pages
Alumni posts and testimonials
Identify patterns, cohorts, timelines, and name variants
Build a clean, structured database of names with source references
Confirmed attendees
Probable attendees
Unverified mentions
Allowed & Expected Methods
Manual and automated data gathering from publicly accessible sources
Platform-compliant data collection
Name matching and de-duplication
Source attribution for every entry
Deliverables
A structured alumni database (CSV / Google Sheet)
Fields to include:
Full name
Known aliases / nicknames (if public)
Timeframe / cohort (if available)
Source link(s)
Confidence level (confirmed / likely / possible)
Short methodology summary explaining how data was gathered
Objective
Create an advanced alumni name list by identifying as many former attendees as possible using ethical methods
Scope of Work
The freelancer will:
Research publicly available sources to identify alumni names, including:
websites like discord and luma
Articles, blogs, interviews
Event pages
Alumni posts and testimonials
Identify patterns, cohorts, timelines, and name variants
Build a clean, structured database of names with source references
Confirmed attendees
Probable attendees
Unverified mentions
Allowed & Expected Methods
Manual and automated data gathering from publicly accessible sources
Platform-compliant data collection
Name matching and de-duplication
Source attribution for every entry
Deliverables
A structured alumni database (CSV / Google Sheet)
Fields to include:
Full name
Known aliases / nicknames (if public)
Timeframe / cohort (if available)
Source link(s)
Confidence level (confirmed / likely / possible)
Short methodology summary explaining how data was gathered