EMBERS at 4 years: Experiences operating an Open Source Indicators Forecasting System
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Abstract (arXiv)
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, and lessons learnt from participating in a forecasting tournament including our perspectives on the limits of forecasting and ethical considerations.
Key facts. Cited by 4 papers in the map (data through 13 Oct 2026). First posted on arXiv 31 Mar 2016.
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Citing papers per year: 2021: 1; 2022: 1; 2023: 1; 2024: 1.
4 papers.
- 2022Deep Spatial Domain Generalizationcited by 4
- 2023An Evaluation Framework for Mapping News Headlines to Event Classes in a Knowledge Graphcited by 1
- 2021A Survey on Societal Event Forecasting with Deep Learningcited by 0
- 2024WikiCausal: Corpus and Evaluation Framework for Causal Knowledge Graph Constructioncited by 0
- 2024WikiCausal: Corpus and Evaluation Framework for Causal Knowledge Graph Construction31 Aug 2024
- 2023An Evaluation Framework for Mapping News Headlines to Event Classes in a Knowledge Graph4 Dec 2023
- 2022Deep Spatial Domain Generalization3 Oct 2022
- 2021A Survey on Societal Event Forecasting with Deep Learning12 Dec 2021