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Data, Predictions, and Decisions in Support of People and Society
Published on Oct 07, 20148733 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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Chapter list
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
Data Science for Social Good07:30
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 the Epicenter49:53
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