During this mission, two main tasks were performed. First, we deployed two hydrophones in different environments and collected under-water sound samples from three different locations in Dakar, in the Sine-Saloum Estuary and over the continental shelf South of Dakar (main sardinella nursery area). A master student from UCAD was identified to work on these data, using deep learning algorithm for sound classification purposes, which may at first glance allow to build-up human sound (motors) index for the different areas/times. Biodiversity index may also be extracted from these data, although more complex analysis will be needed.

On the other side, several actors from CSRP and CRODT were contacted in order to gather qualitative information and data that may help building a spatial model to assess the impact of long-distance illegal, unreported and unregulated (IUU) fisheries may have on Senegalese and sub-regional fisheries dynamics (spatial distribution and intensity).