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As a Lead Machine Learning Engineer, you will play a crucial role in the deployment of our new pipeline. Collaborating closely with our team of data scientists and researchers, you will contribute to the development and implementation of the infrastructure. Additionally, you will work with, and potentially manage, external consultants during the initial phase of the project. Once the pipeline is successfully deployed, you will be responsible for the maintenance, monitoring, and deployment of new data sources and models developed by our research team.
VIEWS has been awarded USD 700 000 from the Complex Risk Analytics Fund (CRAF’d) to study and forecast the impact of armed conflict and climate shocks on humanitarian needs through […]
This morning marked the launch of the synthesis report “Moving from Reaction to Action: Anticipating Vulnerability Hotspots in the Sahel” in support of the United Nations Integrated Strategy for the […]
Dataset: fatalities001_2022_09_t01 Content: Learn more and access the data via the VIEWS API | Codebook
Presented at the “State of the science of “political futures”: Exploring how to improve the representation and usability of socio-political factors in the SSPs” workshop at the German Institute of […]
On Thursday, Nov 3rd, VIEWS Director Håvard Hegre participated as a speaker and panelist in a webinar on the technical feasibility of using conflict prediction models to support anticipatory action. […]
Join us for a webinar organised by the OCHA Centre for Humanitarian Data this Thursday, November 3, at 4-5 PM CET! Anticipatory action enables humanitarian organizations to get ahead of […]
On 13 October 2022, more than 30 representatives from a wide range of IGO agencies, NGOs, government ministries, and other organisations working across the triple nexus of humanitarian aid, peace-building […]
Did you miss the launch of Societies at Risk this spring and want to learn more about our research on the impacts of armed conflict on human development? Stream the […]
We are thrilled to announce the release of a new prediction model: the ‘fatalities’ model! The model moves from predicting dichotomous conflict/no conflict outcomes to also predicting the number of […]
Håvard Hegre has been awarded a European Research Council Advanced Grant of EUR 2.5 million for the project ANTICIPATE – Anticipating the impact of armed conflict on human development. This is Hegre’s second ERC […]
We are pleased to invite you to the launch of a new six-year research project at the Department of Peace and Conflict Research, Uppsala University: ‘Societies at Risk: the Impact […]
The article from the prediction competition we hosted in the fall of 2020 is now available. The competition invited researchers from different fields (political science, statistics, peace and conflict research, computer […]
Publication from the ViEWS-ESCWA collaboration. Title: Understanding the potential linkages between climate change and conflict in the Arab region Authors: Ole Magnus Theisen, Håvard Hegre, Halvard Buhaug, Stefan Döring, Remco […]
Title: Societies at Risk: Anticipating the Impact of Armed Conflict Time and date: 9 March 2022, 19:00-20:00 CET Speakers: Håvard Hegre, Dag Hammarskjöld Professor in Peace and Conflict Research, Uppsala […]
Save the date! On 20 May 2022, we invite you to join us for the launch of our new research project “Societies at Risk – Anticipating the Impact of Human […]
The results of the latest European Research Council (ERC) Proof of Concept grant competition have now been released, and we are thrilled to announce that ViEWS has been selected for the […]
Report from ViEWS and the Sahel Predictive Analytics Project, in support of the United Nations Integrated Strategy for the Sahel (UNISS). Title: Forecasting armed conflict in the Sahel: Forecasts for […]
Uppsala University awarded a 39.7M SEK grant from Riksbankens Jubileumsfond (RJ) to study the effect of armed conflict on human development Research programme: Societies at Risk – the effect of […]
ViEWS generates high-risk alerts for countries with a recent history of fatal political violence. By October 2021, 25 or more fatalities per month from at least one of the three […]
ViEWS generates high-risk alerts for countries with a recent history of fatal political violence. By August 2021, 25 or more fatalities per month from at least one type of violence […]
With the conflict threshold increased from at least 1 to a minimum of 25 fatalities, forecasted changes to the risk assessment of each country are far less pronounced in the […]
In the July run of the forecasting system at s = 3, we continue to forecast a high probability of state-based conict in countries that have a recent history of […]
“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 […]