Paper Info
Title
EMBERS at 4 years:Experiences operating an Open Source Indicators Forecasting System
Abstract
EMBERS is an anticipatory intelligence system forecasting population-level events in multiple countries of Latin America. A deployed system from 2012, EMBERS has been generating alerts 24x7 by ingesting a broad range of data sources including news, blogs, tweets, machine coded events,currency rates, and food prices. In this paper, we describe our experiences operating EMBERS continuously for nearly 4 years, with specific attention to the discoveries it has enabled, correct as well as missed forecasts, lessons learnt from participating in a forecasting tournament, and our perspectives on the limits of forecasting including ethical considerations.
Year
DOI
Venue
2016
10.1145/2939672.2939709
KDD
Keywords
DocType
Volume
civil unrest,event forecasting,open source indicators
Conference
abs/1604.00033
Citations 
PageRank 
References 
2
0.42
12
Authors
17
Name
Order
Citations
PageRank
Sathappan Muthiah11117.80
Naren Ramakrishnan21913176.25
Patrick Butler317311.71
Rupinder Khandpur4702.63
Parang Saraf515511.98
Anil Kumar S. Vullikanti6113598.30
Achla Marathe720323.77
Graham Katz858941.68
Andrew Doyle921.43
Jaime Arredondo101014.60
Dipak Gupta11702.63
David Mares12243.51
Jose Cadena13987.53
Liang Zhao1438654.50
Nathan Self151019.65
Alla Rozovskaya1635022.71
Kristen Summers171025.98