Call for Papers: Crisis Forecasting Symposium 7-8 November at the Bundeswehr University Munich

OC
Oswald, Christian
Tue, Jun 28, 2022 6:11 PM

"Thinking ahead: Avenues and Challenges in Crisis Forecasting" Symposium
November 7-8, 2022 at the Center for Crisis Early Warning, Bundeswehr University Munich
Deadline for abstract submission: 01 August, 2022

We are pleased to invite you to our second event "Thinking ahead: Avenues and Challenges in Crisis Forecasting".
During our in-person symposium from Monday, 7 to Tuesday, 8 2022 speakers will share their thoughts on challenges and chances of crisis early warning in form of keynote speeches, academic panels, and moderated discussion rounds with policy relevant stakeholders.
Our key questions center around transnational aspects of conflict, the behavior of actors, advances in Machine Learning, data visualization as well as the advantages of novel data sources.
The Call for Papers and further information can be accessed via the following link: https://go.unibw.de/symposium2022.

We are looking forward to welcoming you at the Center for Crisis Early Warning in November.


Christian Oswald
Research Associate

Center for Crisis Early Warninghttps://www.unibw.de/ciss-en/kompz-kfe/
University of the Federal Armed Forces Munichhttps://www.unibw.de/home-en

Personal websitehttps://christianoswald.net/

"Thinking ahead: Avenues and Challenges in Crisis Forecasting" Symposium November 7-8, 2022 at the Center for Crisis Early Warning, Bundeswehr University Munich Deadline for abstract submission: 01 August, 2022 We are pleased to invite you to our second event "Thinking ahead: Avenues and Challenges in Crisis Forecasting". During our in-person symposium from Monday, 7 to Tuesday, 8 2022 speakers will share their thoughts on challenges and chances of crisis early warning in form of keynote speeches, academic panels, and moderated discussion rounds with policy relevant stakeholders. Our key questions center around transnational aspects of conflict, the behavior of actors, advances in Machine Learning, data visualization as well as the advantages of novel data sources. The Call for Papers and further information can be accessed via the following link: https://go.unibw.de/symposium2022. We are looking forward to welcoming you at the Center for Crisis Early Warning in November. --- Christian Oswald Research Associate Center for Crisis Early Warning<https://www.unibw.de/ciss-en/kompz-kfe/> University of the Federal Armed Forces Munich<https://www.unibw.de/home-en> Personal website<https://christianoswald.net/>