Indrė Žliobaitė

Bio

Indrė Žliobaitė is an Associate Professor at the University of Helsinki, where she leads a research group on Data science and evolution. She has contributed methods, tools and perspectives for learning from evolving data, as well as pioneering algorithmic approaches to fairness-aware machine learning. Her main current research programme is in analyzing change in nature and society. More info: https://www.zliobaite.com/

Talks

• How recommender systems relate to species distribution modeling

  Keynote
  10-07-2021 - 08:30-09:30
  Abstract
  

  Species distribution modeling refers to algorithmic analyses of species occurrence over time and space used in conservation biology, ecology and evolution. In this talk I will discuss species distribution modeling for the past, asymmetry of uncertainties species occurrence data and optimization criteria that can help to handle them. The talk will highlight similarities between species distribution modeling and recommender systems tasks in machine learning.