IAMG2027
The 25. annual conference of the IAMG
September 04 - 11, 2027, Rio de Janairo, Brasil

Submit a session proposal or short course

Propose a session

Session proposals are welcome before December 01, 2026. Please submit your proposal online in the
login area or send it via e-mail to iamg2027@nogo.comiamgmembersorg
Session proposals should include a title, summary, a target IAMG journal (https://iamg.org/publications/iamg-journals/) for possible follow-up full papers, and at least two names (one Chair and one Co-Chair or more).
Responsabilities for the session chairs and co-chairs will be to:
  • Attract 6, 9 or 12 oral presentations + open number of poster presentations
  • Review all abstracts for their session, accept for oral or posters and make recommendations to authors
  • Organize the order of the presentations in the allocated time slot before June 1st, 2027
  • Register to IAMG 2027 and convene the session with the co-chair.
  • Accept to act as guest editor or reviewers for follow up papers from their session in IAMG journals

Proposed sessions

Until now the following sessions are proposed.
Click on the titles marked + to see a descriptions.
  1. +AI-driven Geochemical Anomaly and Mineral Prospectivity Modeling
    Emmanuel John M. Carranza, Renguang Zuo
    Geochemical anomaly and mineral prospectivity modeling as a computer-based approach to delineate target areas for exploration of certain mineral deposits in a mineral system has evolved from being knowledge driven to artificial intelligence (AI)-driven. The applications of AI in mineral exploration are ever increasing nowadays to address the complexity of relationships among datasets and with known deposit occurrences. The session welcomes submissions for presentations of: (1) novel AI algorithms and applications for recognition and integration of geo-anomalies to support mineral exploration, in 2D or 3D; and (2) novel AI algorithms and applications for analysis and synthesis of a variety of geoscience datasets to model geochemical anomalies and mineral prospectivity and associated uncertainty, in 2D or 3D.