“On the Accuracy (and Niceness) of Prediction: From Epidemics to Climate and Weather”

Please join us Friday, October 25 at 2pm in Wallace 300 for “On the Accuracy (and Niceness) of Prediction: From Epidemics to Climate and Weather,” a workshop unifying people working on predictability across Princeton, sponsored by the High Meadows Environmental Institute.

The goal is to stimulate discussion about similarities and differences in prediction problems across fields, including the limits to predictability, new prediction methods, and how predictions can support real-time decision making and policy.

SCHEDULE

2:00PM Bryan Grenfell, Barriers to predictability in acute immunizing infection dynamic
2:20PM Wyatt Madden, Mechanism-integrated machine learning for infectious disease dynamics prediction (over Zoom)
2:40PM Justin Lessler, The US Scenario Modeling Hub – what kinds of predictions do we need to manage infectious diseases, and how do we evaluate them?
3:00PM Break
3:10PM Maya Chung, ENSO forecasting and implications for infectious disease prediction
3:30PM Wei Peng, “Predicting” long-term energy decarbonization failures using large-scale scenario ensemble
3:50PM Gabriel Vecchi and Emily Howerton: Closing remarks

Times are approximate – discussion will be encouraged.

This workshop is for Princeton University ID holders only.

  • This event has passed.

“On the Accuracy (and Niceness) of Prediction: From Epidemics to Climate and Weather”

Event Date

Fri, Oct 25, 2024 ・ 2:00 PM - 4:00 PM

Location

Wallace Hall, Room 300

Category

Department

Please join us Friday, October 25 at 2pm in Wallace 300 for “On the Accuracy (and Niceness) of Prediction: From Epidemics to Climate and Weather,” a workshop unifying people working on predictability across Princeton, sponsored by the High Meadows Environmental Institute.

The goal is to stimulate discussion about similarities and differences in prediction problems across fields, including the limits to predictability, new prediction methods, and how predictions can support real-time decision making and policy.

SCHEDULE

2:00PM Bryan Grenfell, Barriers to predictability in acute immunizing infection dynamic
2:20PM Wyatt Madden, Mechanism-integrated machine learning for infectious disease dynamics prediction (over Zoom)
2:40PM Justin Lessler, The US Scenario Modeling Hub – what kinds of predictions do we need to manage infectious diseases, and how do we evaluate them?
3:00PM Break
3:10PM Maya Chung, ENSO forecasting and implications for infectious disease prediction
3:30PM Wei Peng, “Predicting” long-term energy decarbonization failures using large-scale scenario ensemble
3:50PM Gabriel Vecchi and Emily Howerton: Closing remarks

Times are approximate – discussion will be encouraged.

This workshop is for Princeton University ID holders only.