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VIEWS logo, links to homepage ViEWS logo
  • Home
  • Dashboard
  • About
    • VIEWS research consortium
    • Current projects
      • ANTICIPATE
      • DEMSCORE
      • ERC “Proof-of-Concept”
      • Global Mapping of Forecasting Systems
      • Mistra Geopolitics
      • Societies at Risk
      • Stability and Change at CAS
      • UFFAC
      • About VIEWS-PIN
    • Previous projects
      • Sahel Predictive Analytics (UNHCR)
      • ViEWS (the pilot EWS)
        • Country Expert Survey
      • VIEWS-ESCWA
      • ViEWS-UK FCDO
    • Staff & contributors
    • Funding
  • Methodology
    • Definitions
    • VIEWS2 (2020-2021)
      • Forecasting procedure
      • The models
      • Evaluation
    • VIEWS3 (2022 – )
      • Model overview
      • Input data
      • Model training
      • Data infrastructure
  • Resources
    • Publications
    • Downloads
    • Source code
    • Mediakit
  • News
  • Prediction Challenge

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  1. News
  2. ViEWS featured in the MIT Technology Review

News & publications

The latest news

EventsGeneralSocieties at Risk

Presentations on Climate, Environment and Conflict – Upcoming and past events

October 3, 2023
Read more
GeneralPublications

PUBLICATION | “Could vote buying be socially desirable? Exploratory analyses of a ‘failed’ list experiment”

October 3, 2023
Read more
GeneralPublications

PUBLICATION | “Predicting armed conflict using protest data”

September 29, 2023
Read more
Research & development

R package evinf: Inference with Extreme Value Inflated Count Data

September 29, 2023
Read more
General
August 27, 2020

ViEWS featured in the MIT Technology Review

“A newer model called ViEWS, built by researchers at Uppsala University, provides a huge boost in granularity. Focusing on conflict in Africa, it offers monthly predictive readouts on multiple regions within a given state. Its threshold for violence is a single death.”

Read the full article here.

Related

Recent news
  • Presentations on Climate, Environment and Conflict – Upcoming and past events
  • PUBLICATION | “Could vote buying be socially desirable? Exploratory analyses of a ‘failed’ list experiment”
  • PUBLICATION | “Predicting armed conflict using protest data”
  • R package evinf: Inference with Extreme Value Inflated Count Data
  • New VIEWS Team Members
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