{"id":429,"date":"2025-11-05T06:58:20","date_gmt":"2025-11-05T05:58:20","guid":{"rendered":"http:\/\/cri-info.cm\/?page_id=429"},"modified":"2025-11-05T06:58:20","modified_gmt":"2025-11-05T05:58:20","slug":"call-for-papers-workshop-aimecri2025","status":"publish","type":"page","link":"http:\/\/cri-info.cm\/?page_id=429","title":{"rendered":"Call for Papers Workshop AIME@CRI\u20192025"},"content":{"rendered":"\n
\n
<\/div>\n<\/div>\n\n\n

Title :<\/b> Artificial Intelligence and marine ecology (AIME)<\/p>\n

Date and Location:<\/b> December 15, 2025, University of Yaounde I<\/p>\n

Organizers:<\/b> Norbert TSOPZE and Hippolyte TAPAMO<\/p>\n

Target Audience:<\/b> Researchers in Marine ecology and AI, PhD and Master in Computer Science and marine ecology<\/p>\n

Language of Communication:<\/b> English.<\/p>\n

Scope and Objectives :\u00a0<\/b><\/p>\n

The global marine ecosystem faces unprecedented challenges, from climate change and pollution to overfishing and habitat destruction. Addressing these complex issues requires innovative, data-driven solutions that harness the power of modern computation. This workshop, “AI and Marine Ecology\u201d<\/b> for bridging the gap for marine ecosystem conservation,” is designed to forge a dynamic interface between Artificial Intelligence (AI) experts and Marine Ecologists. The workshop is highly interdisciplinary and focuses on the application of the AI algorithms and methods to help decision making in marine ecology. The marine ecosystem challenges identified by the ecologists which can be solved using their data are also welcome. Discussions between AI experts and marine ecologists will be made and future collaborations are envisaged. We particularly encourage submissions that demonstrate the practical use of technologies such as: Machine Learning (ML) and Deep Learning<\/b> for automated species identification, biomass estimation, and behavioral tracking from acoustic or visual data, marine protected area;\u00a0 Predictive Modeling<\/b> to forecast shifts in species distribution, map coral bleaching events, or predict the impact of environmental changes, Computer Vision<\/b> for monitoring marine traffic, detecting illegal fishing, or assessing coral reef health.<\/p>\n

We explicitly welcome contributions and position papers from marine ecologists that:<\/p>\n

    \n
  1. Identify Marine Ecosystem Challenges<\/b> that are currently limited by data analysis or modeling bottlenecks.<\/li>\n
  2. Detail Data Availability and Quality<\/b> for specific ecological problems (e.g., large-scale satellite imagery, bio-logging data, acoustic sensor outputs, eDNA data, species identification and biomass data, \u2026).<\/li>\n
  3. Propose Problem Statements<\/b> where an AI solution could yield significant advancements in conservation strategy, monitoring, or policy.<\/li>\n<\/ol>\n

    The structure of the workshop will facilitate intensive discussions between AI researchers and marine ecologists<\/b> through dedicated sessions, roundtables, and collaborative challenges. The ultimate goal is not just to share current results, but to foster concrete future collaborations<\/b> by pairing specific ecological problems with relevant AI expertise. We aspire for this atelier to serve as the starting point for joint research projects, grant applications, and the creation of next-generation tools essential for safeguarding our oceans.<\/p>\n

    Areas (Topics):<\/b>\u00a0<\/p>\n

    The main objectives of the workshop is the use of AI tools in marine ecosystem protection. The main topics of interest include:<\/p>\n