A running list of projects Kevin and Spencer are working on together
Goal: An extractor for non-technical employees to find proposals and grants knowledge about LFC’s challenges and proposals
Status: in progress (2022)
Questions to answer about extraction:
What’s most effective to extract for LFC?
What fields are most commonly used for search/filter operations?
What’s most effective to extract for Philanthrobotics [🤖]?
We have a catalogue of views
We want predictive analytics that uses ML
What overlaps and gaps exist when comparing LFC data to other data?
For example: we both ran a competition on refugees, what organizations exist in both, and what organizations only appear in one?
Compare/contrast scoring/judging systems
What is the process for score normalization?
What data are we collecting, but not validating? What data are we not collecting at all? What data is superfluous?
Goal: Imagine an area where technical staff can go to pull down data to experiment on, to use in machine learning models & analytics.
Status: in progress (2022)
Questions to answer about web app:
Which functionalities do LFC staff need to work with their data
Which functionalities do 🤖 analysts need to work with LFC’s data?
Pipelines and abilities
Data enrichment by the click
Research methodologies on normalizing judges scores - ongoing as of January 6, 2022