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Digital Developments Harbingers of Humanitarian Change?

Information and communication technologies have arguably improved refugees’ lives, and by some measures, improved humanitarian assistance (e.g. aid delivered via mobile money), yet they can potentially cause harm. This paper discusses three interrelated digital...

Predicting Forced Population Displacement Using News Article

This paper proposes an approach for analyzing a collection of news articles to extract ‘signals of violence’, which can be used in prediction models to forecast forced displacement. The authors test their proposed approach using news articles drawn from the Expanded...

The Return to Big City Experience: Evidence from Danish Refugees

The authors exploit the random settlement policy for refugees in Denmark between 1986-1998 to examine the effect of locations on refugees’ wages. During this period, the Danish government assigned 80,000 refugees across 271 municipalities, in proportion to local...

Dynamic Refugee Matching

Asylum seekers are often assigned to a locality in their host country based on uninformed random mechanisms, which do not consider the characteristics of the asylum seekers in the matching process. Consequently, this approach may lead to an inefficient and unfair...

JDC Seventh Newsletter, 2020

Evidence-based responses to the COVID-19 emergency Dear Colleagues, August 2020 marked the third anniversary of the events leading to the displacement of more than 700,000 members of the Rohingya community into Bangladesh. This humanitarian crisis has attracted the...

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