Query the conflict forecasts from the ViEWS2 prediction models, generate data visualisations, and download the queried datasets.
Browse our publications to learn more about our research.
Access and download VIEWS data, explore our GIS resources, and consult the source code behind the VIEWS models and their data infrastructure.
NEWS & PUBLICATIONS
Recent news
Recent publications
RESEARCH & DEVELOPMENT
Current projects
DEMSCORE
in collaboration with leading Swedish universities
About
In a collaboration between some of Sweden’s largest universities, Demscore is building an e-infrastructure with harmonized, publicly available and user-friendly data from several of the world’s largest datasets.
Together we offer access to more than 20,000 variables on Democracy, Environment, Migration, Social Policy, Conflict and Representation – open source and free of charge.
MISTRA GEOPOLITICS
in collaboration with Stockholm Environment Institute
About
The Mistra Geo-Politics research program examines the interactions between geopolitics, human security, and global environmental change. The interdisciplinary research team seeks to develop strategies to navigate increasing geopolitical insecurity better while taking advantage of opportunities created by innovation and technological development.
THE “PROOF-OF-CONCEPT” PROJECT
in collaboration with representatives of our user groups
About
The ERC-funded “Proof-of-Concept” project sets out to explore how the output from the conflict prediction system VIEWS can be tailored to better meet the needs of different organisations across the international community.
In close collaboration with a key user group of representatives from NGOs, IGOs, and government ministries, the project will be used to compile a demonstration package of case studies, special reports, and tailor-made services that showcase an array of means to access and use the VIEWS data.
THE STABILITY AND CHANGE PROJECT
in collaboration with the Centre for Advanced Studies (CAS) in Oslo
About
The Stability and Change
project at CAS provides VIEWS the opportunity to collaborate with leading statisticians and peace-and-conflict researchers to delve deeper into the quantitative aspects of armed conflict. The project
aims to develop relevant statistical methods for testing stability, pin-pointing critical junctures when such have occurred, and a better understanding of the underlying mechanisms of conflict.
VIEWS-PIN
funded by CRAF’d
About
VIEWS-PIN is an academic research project set to provide early warnings of the need for humanitarian assistance for all months in a rolling three-year forecasting window, for all Low and Middle Income
Countries (LMICs).
GLOBAL MAPPING OF FORECASTING SYSTEMS
in collaboration with UNHCR
About
In a 2023 call for proposals, VIEWS was selected to develop a global mapping of existing early-warning systems for conflict and natural hazards to assist UNHCR in developing their own internal EWS.
SOCIETIES AT RISK and ANTICIPATE – predicting the impact of armed conflict on human development
in collaboration with Karolinska Institutet, CRED, ISDC, Barcelona School of Economics, University of Pittsburgh, University of Gothenburg, University of Cambridge
About
These multi-disciplinary programmes funded by Riksbankens Jubileumsfond and the European Research Council bring together scholars from economics, epidemiology, political science, and conflict research to study
the impacts of armed conflict on human development in much greater detail and comprehensiveness than earlier studies. Based at Uppsala University and Peace Research Institute Oslo, respectively, they take
a risk-analysis perspective, assessing the expected impact as a function of hazard, exposure, and vulnerability, and consider effects at both the macro and micro level on economies, health, water security,
political institutions and human rights, and forced migration.
The result of the two projects will be incorporated into the VIEWS forecasting system to also alert observers to the impacts of armed conflict on human development.
WHY VIEWS?
Advantages of the VIEWS forecasts
PUBLIC AVAILABILITY
All source code and output from the VIEWS system is publicly available.
ADAPTABILITY
The versatile VIEWS system can be extended and adapted to the needs of each user and organisation.
Contact us to learn more.
state-of-the-art methodology
VIEWS is built using state-of-the-art methods and machine learning techniques such as random forests, ensembling, and Extreme Gradient Boosting, which sets it apart from its competitors.
Performance Transparency
VIEWS offers full transparency about its predictive performance for informed decision-making. See e.g. the 2022 technical report on the
continuous prediction model, or the peer-reviewed 2021 JPR article on the
dichotomous model.
expert knowledge
The VIEWS network is large and interdisciplinary. Beyond the core team, ViEWS benefits from the expert knowledge of research associates at renowned universities and institutions across the globe; from valuable input from users in government ministries, IGOs, and NGOs; and from qualitative assessments from 70+ traditional country experts.
ACKNOWLEDGEMENTS
Funding
The research presented on this website is the outcome of projects that has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (Grant agreement No. 694640,
ViEWS) and Horizon Europe (Grant agreement No. 101055176, ANTICIPATE;
and 101069312, ViEWS (ERC-2022-POC1)), Riksbankens Jubileumsfond (Grant agreement No. M21-0002
, Societies at Risk), Uppsala University, Peace Research Institute Oslo, the United Nations Economic and Social Commission for Western Asia (
ViEWS-ESCWA), the United Kingdom Foreign, Commonwealth & Development Office (GSRA – Forecasting Fatalities in Armed Conflict
), the Swedish Research Council (DEMSCORE), the Swedish Foundation for Strategic Environmental Research (
MISTRA Geopolitics), the Norwegian MFA (Conflict Trends QZA-18/0227
), the United Nations High Commissioner for Refugees (the
Sahel Predictive Analytics project and Global Mapping of Forecasting Systems
), and the Complex Risk Analytics Fund (CRAF’d, VIEWS-PIN).
