The **VI Workshop on Computational Data Analysis and Numerical Methods** (**WCDANM**) is going to be held on **June 27-29**, **2019**, in the Department of Mathematics of the **University of Beira Interior** (**UBI**),** Covilhã, Portugal** and it is a unique opportunity to disseminate scientific research related to the areas of Mathematics in general, with particular relevance to the areas of Computational Data Analysis and Numerical Methods in theoretical and/or practical field, using new techniques, giving especial emphasis to applications in **Medicine**, **Biology**, **Biotechnology**, **Engineering**, **Industry**, **Environmental** **Sciences**, **Finance**, **Insurance**, **Management** and **Administration**. The meeting will provide a forum for discussion and debate of ideas with interest to the scientific community in general. With this meeting new scientific collaborations among colleagues, namely new collaborations in Masters and PhD projects are expected. The event is open to the entire scientific community (with or without communication/poster).

The **VI WCDANM** will take place in the beautiful and welcoming city of **Covilhã**, Beira Interior region, where the mountain landscape of **Serra da Estrela** is ever present. For more information about city of **Covilhã**, see here.

The meeting poster of the** VI WCDANM** here: Poster

In 2018 special issues of **Journal of Applied Statistics** (Taylor & Francis) and of **Neural Computing & Applications** (Springer) were associated to the V WCDANM. In **2019** the executive committee of VI WCDMA will try to maintain the scientific quality of the meeting, increasing the number of participants, without losing the family atmosphere that has been a constant in the previous editions, which took place in: Polytechnic Institute of Tomar (2014), University of Évora (2015), Polytechnic Institute of Portalegre (2016), Polytechnic Institute of Beja (2017) and Polytechnic Institute of Porto (2018).

The interest scientific areas of the **VI Workshop on Computational Data Analysis and Numerical Methods**, are:

Approximation Theory, Combinatorics, Lattices, Algebraic Structures, General Algebraic Systems, Number Theory, Field Theory and Polynomials, Rings and Algebras, Algebraic Geometry, Linear and Multilinear Algebra; Matrix Theory, Category Theory, Homological Algebra, Group Theory and Generalizations, Topological Groups, Real Functions, Measure Theory and Integration, Functions of a Complex Variable, Potential Theory, Ordinary and Partial Differential Equations, Dynamical Systems and Ergodic Theory, Difference and Functional Equations, Fourier Analysis, Integral Equations, Discrete Mathematics, Fuzzy Mathematics, Operator Theory, Coding Theory, Control Theory, Cryptology, Geometry, Information Fusion, Neutrosophic Mathematics, Graph Theory, Functional Analysis, Image Processing, Signal Processing and Tomography, Calculus of Variations, Algebraic Topology, Mathematical Economics and Financial Mathematics, Numerical Analysis, Fluid Mechanics and Solid Mechanics, Statistical Mechanics, Structure Of Matter, Operations Research, Optimization, Game Theory, Mathematical Biology and Other Natural Sciences, Wavelets and Wavelet Transforms, Mathematical Physics, Probability Theory, Distribution Theory, Stochastic Processes, Simulation, Parametric and Nonparametric Inference, Multivariate, Bayesian Inference, Regression Analysis, Estimation Theory, Decision Theory, Econometrics, Statistical Tomography and Image Processing, Statistical Process Control, Time Series, Structural Equation Modeling, Data Mining, Sampling Theory, among other areas.