Internal Cycle of Seminars at IMEDEA (CISI) consist on a cycle of seminar presentations given mainly by doctoral students, masters and junior postdocs, although it is not closed to other staff, such as visitors and staff, that take place every Friday from 4:00 p.m. to 4:30 p.m in the seminar room os IMEDEA.

This represents a great opportunity to learn more about the research carried out at the Institute and to bring those with less experience , the chance of increasing their presentation and public speaking skills. Afterwards, there will be soft drinks and beers for all attendees 😉 We strongly encourage you to participate. Join us!

Do you want to participate with a presentation? Please contact the organising team:

Next Seminars

Featured Seminars
Internal Cycle of Seminars IMEDEA - Amaya Álvarez- «Deep Learning inside the fish market»
  Abstract In this presentation, we will explore the various tasks undertaken by the Fish Ecology Lab at the Palma Fish Market since 2018. Our focus lies in automating the processes employed for extracting fish length measurements. The dynamic distribution of fish lengths plays a crucial role, not only in making informed short-term operational decisions within a fishery co-management framework but also in providing input for traditional fishery models that illuminate mid- and long-term trends in exploited stocks. Traditionally, the estimation of fish length in most fisheries has been a manual endeavor, resulting in precise measurements at the individual fish level. However, due to the high cost and inefficiency associated with supervised sampling, the sample size tends to be limited. Consequently, the precision of population-level estimates often falls short, and biases may arise, especially when adequately stratified sampling programs are economically unfeasible. Conversely, the application of machine learning and artificial intelligence in fisheries science presents a promising avenue for large-scale, unbiased sampling of fish catches. The Fish Ecology Lab has been working with the daily images recived from the auction of the fish market to extract information on various commercial species such as hake, dolphinfish, and red shrimp. This presentation will specifically focus into the deep learning techniques employed for each of these cases.  

Previous Seminars

Internal Cycle of Seminars IMEDEA - Andrea Santangeli - «Project SURVIVALIST: SURVIVAL In Space and Time: Identifying mortality bottlenecks along the annual cycle of vultures.»





Understanding the extent of animal mortality, the where and when mortality occurs, is paramount to implement effective conservation actions and secure the persistence of animal populations. Unfortunately, so far our understanding of animal survival (which is the inverse of mortality) is very limited, even for well-studied species such as vultures. Project SURVIVALIST has the ambitious objective of filling this knowledge gap for three European vultures (Griffon, Cinereous and Bearded vulture). Based on a large collaborative network, SURVIVALIST collated a uniquely large dataset (including >1400 vulture individuals across the three species) of high-resolution vulture tracking data. These data are analysed using novel approaches to quantify survival in time across the species annual cycle (e.g. during the breeding and non-breeding season) and life-stages (juvenile, immature, adults; Objective 1). Survival variation for each species is then mapped across space by integrating survival modeling with space use from the tracking data, to identify hotspots of vulture mortality (Objective 2).


Link to the video here