Length: ~ 15 – 20min
What to Cover
- Introduce the conceptual problem and background
- Model design overview
- Agents, environments (where applicable), topology, initialization, schedule
- Model run (actual or example of outputs)
- Initial results and analysis
- First pass parameter sweep, statistical descriptions and tests, visual aids
- Outstanding questions and next steps
Tuesday, April, 3
- Michael Borsellino
- Kristefer Stojanovski
- Harrison Smith
Thursday, April, 5
- Iris Rivera
- Ali Turfah
- Mana Heshmati
Tuesday, April, 10
- Lixi Liu
- Meira Chefitz
- Joe Brenner
Thursday, April, 12
- Nicholas Medina
- John Meluso
- Karthick Krishnan
- Todd Lehman
Tuesday, April, 17
- Yingying Zeng
- Divyanish Saini
- Matt Nelson
- Anant Marur