Fuelling War or Buying Peace: The Role of Corruption in Conflicts

conflict, corruption, structural change

Resources for Peace? Managing Revenues from Extractive Industries in Post-Conflict Environments

Revenues from extractive sectors such as oil and gas, minerals, and logging play an important role in many post-conflict environments, often providing more than 30% of state fiscal receipts. When managed well, these revenues can help to finance postwar reconstruction and other vital peace-related needs. When mismanaged, however, resource revenues can undermine both economic performance and the quality of governance, thereby heightening the risk of renewed violence. This paper offers a number of proposals for managing revenues from extractive industries to better support peacebuilding.Extractive resources; oil revenues; peacebuilding; revenue-sharing

Conflict In Africa: The Cost of Peaceful Behaviour

aid, conflict, natural resources, sub-Saharan Africa

Finance in Conflict and Reconstruction

aid, conflict, financial development, sub-Saharan Africa

Financial Reconstruction in Conflict and 'Post-Conflict' Economies

aid, conflict, financial development, sub-Saharan Africa

Fish crimes in the global oceans

This study provides a global assessment of the linkages between observed fisheries-related offenses across the world’s oceans between 2000 and 2020. We analyze data from the largest existing repository with 6853 events reporting offenses across 18 fishing-related categories, including illegal fishing, human rights abuses, and smuggling. We find that at least 33% of all recorded offenses are associated with 450 industrial vessels and 20 companies originating from China, the EU, and tax haven jurisdictions. We observe links between various types of offenses for 779 vessels, with such “transversal criminality” involving 2000 offenses and crimes globally. This study demonstrates the ability to identify offenders and patterns of behaviors threatening fisheries sustainability at a global level and countries most vulnerable to transversal criminality. In light of concerns for widespread underreporting and impunity, we call for greater information sharing, interagency cooperation, and stringent enforcement to bring to account major offenders

Pulse Rate Analysis in Case of Central Sleep Apnea: A New Algorithm for Cardiac Rate Estimation

Annual International Conference of the IEEEInternational audienceThis paper first describes the AM-FM demodulation of an arterial pressure signal. Although it is known to be efficient on signals modulated by breathing, we demonstrate that in case of lack of respiratory modulation (central sleep apnea), the AM-FM algorithm doesn't perform well in heart rate extraction. We introduce then a new algorithm based on Singular Spectrum Analysis eigen values which performs better cardiac frequency estimation in this context. The error for cardiac frequency estimation is around 0.2 BPM (Beats Per Minute) versus 5.5 BPM for the AM-FM demodulation. Further experimentations will be performed (with this time both cardiac and respiratory assessments) and will deal with real sleep apnea cases