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Data, Predictions, and Decisions in Support of People and Society
Published on 2014-10-078797 Views
Deep societal benefits will spring from advances in data availability and in computational procedures for mining insights and inferences from large data sets. I will describe efforts to harness data f
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Presentation
Data, Predictions, and Decisions in Support of People and Society00:00
Data Science for Social Good00:15
Inference for high-stakes challenges00:31
Image00:45
Predictions to Decisions00:52
Exciting Times01:44
Rise of Rich Representations - 101:50
Rise of Rich Representations - 202:21
Rise of Rich Representations - 302:52
Renaissance of Familiar Methods - 102:56
Renaissance of Familiar Methods - 205:32
Data, Learning, and Systems06:22
Beauty and the Bottleneck06:25
Inference about Traffic07:44
Forecasting Future Traffic - 108:24
Forecasting Future Traffic - 208:29
Clearflow - 109:02
Clearflow - 210:07
Clearflow - 310:27
Article - The New York Times10:30
Traffic-Sensitive Routing - 110:39
Traffic-Sensitive Routing - 210:57
Community Sensing - 111:08
Community Sensing - 212:32
Community Sensing - 313:33
Aiming for the Sky: Aviation14:21
Thousands of Wind Sensors14:28
Studies14:58
Windflow15:35
Clinical Medicine17:21
Readmissions Challenge18:26
Predictive Model for Readmission18:57
Going Live19:02
At hospitals around the world…19:17
Challenge: Interpretability19:25
Interpretability21:21
Interpretability--Power Tradeoff - 121:49
Interpretability--Power Tradeoff - 222:11
Capturing Key Interactions22:34
Insights about Interactions22:41
Decisions - 122:56
Decisions - 223:44
Example: Heart Failure23:54
Utility Model 25:04
Exploration with Decision Pipeline25:38
Decision Pipeline Visualization - 126:54
Decision Pipeline Visualization - 227:48
Errors, Adverse Events, and Deaths28:05
Detecting Errors28:41
Hospital-Associated Infection31:36
Data on Time and Space - 133:24
Data on Time and Space - 233:49
Data on Time and Space - 334:11
Temporal Models and Prediction35:19
Causal Discovery - 135:42
Causal Discovery - 236:54
Web for Planetary-Scale Sensing37:50
Signals on Medication Adverse Effects - 138:43
Signals on Medication Adverse Effects - 239:38
Web-Scale Pharmacovigilance40:27
Characterizing Sensor Error41:13
Rare, Serious Adverse Effects41:58
Complementarity of Signals43:11
Wide Range of Studies 43:29
Diet & Illness: Heart Failure45:01
Disruption and Recovery - 146:50
Disruption and Recovery - 247:25
Cell Tower Call Densities in Rwanda47:49
Assumptions48:20
Detecting the Earthquake48:55
Inferring the Epicenter49:02
Determining the Epicenter - 149:33
Determining the Epicenter - 249:38
Determining the Epicenter - 349:48
Inferring Opportunities to Assist - 150:07
Inferring Opportunities to Assist - 250:12
Value of Survey50:18
AI-D - 151:06
AI-D - 251:20
Video - 152:07
Video - 252:13