The sixth “One World webinar” organized by YoungStatS will take place on November 8th, 2021. With the development of digital systems, very large datasets have become routine. However, standard statistical approaches do not have the power or flexibility to analyse these efficiently, and extract the required knowledge. Symbolic Data Analysis provides a framework allowing for the representation of data with intrinsic variability, where the observed “values” are not just single real values or categories, but finite sets, intervals or distributions over a given domain. Selected young researchers active in the area will present their recent contributions on this developing topic. Speakers: Yuying Sun, Chinese Academy of Sciences, Beijing, China Boris Beranger, University of New South Wales, Australia Bruno Pimentel, Universidade Federal de Alagoas, Brazil Sónia Dias, Polytechnic Institute of Viana do Castelo, Portugal Discussant: Prof. Paula Brito, University of Porto, Portugal The webinar is part of YoungStatS project of the Young Statisticians Europe initiative (FENStatS) supported by the Bernoulli Society for Mathematical Statistics and Probability and the Institute of Mathematical Statistics (IMS).