Participants

• @jamey_sharp
• @stagedtheology
• @tklee
• @galgeek
• @edrex

Raw Data

...is what this repository contains.

Also here's the proposal json converted to a spreadsheet: https://docs.google.com/spreadsheets/d/1XZfB3b9_TfQ855yhBCEFHxtTeI9AX00rvj74py-vRp0/edit?usp=sharing

Questions

• Can we find like-minded people based on favorites?
• Can we generate BOF sessions in advance?
• Can we design a schedule to minimize conflicts among sessions?
  • Cost assignment (based on timestamp?)
  • HARD CONFLICTS: Speaker can't appear in multiple locations
• Can we optimize room size based on favorites?
• Do favorites predict attendance?
• Do clickthroughs on description predict attendance? (We don't have data, but maybe!)
• Can we (from full text description) predict:
  • level?
  • attendance?
  • # of favorites?
  • track?
  • which talks will be accepted?

Tools

• cplex
• linear programming: AMPL
• http://www.neos-server.org/neos/solvers/ <- web interface to solve LP/NLP/MILP directly
• ibm ilog studio
• coin or (repository)
• informs
• SMT solvers (e.g., solve sudoku puzzle based on initial values)
• Bayes' theorem!
• Tabu search: https://en.wikipedia.org/wiki/Tabu_search