6th Applied Statistics and Data Analysis using Computer Science (ASDACS 2020)

Scope

Applied Statistics and Data Analysis are areas that include a vast number of techniques developed in Computer Science such as numerical analysis, data visualization, machine learning and statistics.

Research, based on a certain theory regarding the topic under investigation, can propose some statements or hypothesis about the reasons for certain behaviour. The next step consists in testing some predictions with suitable experiments where several questions must be answered in order to obtain data. Depending on the outcomes of the experiment, the theory on which the hypotheses and predictions were based will be supported or not. By the nature of this line of scientific investigation, the statistical methods assume major importance in determining the validity of empirical research. It is also important to quantify findings and present them with appropriate indicators of measurement. Several areas such as Medicine, Therapies, Biochemical Technology, Engineering and Economics relate Statistical Knowledge and Computer Science in order to analyse data obtained in the context of empirical research.

This workshop will provide researchers and practitioners with a forum for exchanging ideas, experiences, problems understanding and visions for the future. The workshop will also provide a platform for researchers and developers to present results using the available tools and software packages for data analysis and to identify the problems in the theory and practice of empirical research recognizing future developments.

 

List of topics of interest

•         Applied Statistics and Data Analysis

•         Computer Science

•         Data collection strategies and methods

•         Selection and type of data

•         Strategies to enhance Quality of Data

•         Applicability for theory development and practice

•         Machine Learning and Automatic Scientific Discovery

•         Data Visualization

•         Decision based on Evidence

•         Empirical Research

•         Statistical and Data Analysis Software

 

Organizing Committee

Brígida Mónica Faria

Biomathematics, Biostatistics and Bioinformatics

Higher School of Health, Polytechnic of Porto, Porto, Portugal

Rua Dr. António Bernardino de Almeida, 400 4200 - 072, Porto

+351934212478

(This email address is being protected from spambots. You need JavaScript enabled to view it.)

 

Joaquim Gonçalves

Polytechnic Institute of Cávado e Ave, Portugal

Campus do IPCA - Barcelos

Vila Frescaínha S. Martinho, 4750-810 BARCELOS

(This email address is being protected from spambots. You need JavaScript enabled to view it.)

 

João Mendes Moreira

Faculty of Engineering, University of Porto, Portugal

Rua Dr. Roberto Frias, s/n 4200-465 Porto

(This email address is being protected from spambots. You need JavaScript enabled to view it.)

 

Program Committee

- Alberto Cardoso – Universidade de Coimbra (This email address is being protected from spambots. You need JavaScript enabled to view it.)

- Andre PL Carvalho - Universidade de São Paulo (This email address is being protected from spambots. You need JavaScript enabled to view it.)

- António Dourado – Universidade de Coimbra (This email address is being protected from spambots. You need JavaScript enabled to view it.)

- Antonio Santos del Riego - Universidade da Coruña (This email address is being protected from spambots. You need JavaScript enabled to view it.)

- Aurora Pozo - Universidade Federal de Minas Gerais (This email address is being protected from spambots. You need JavaScript enabled to view it.)

- Bernardete Ribeiro – Universidade de Coimbra (This email address is being protected from spambots. You need JavaScript enabled to view it.)

- Carlos Silla Jr. - Universidade Tecnológica Federal do Paraná (This email address is being protected from spambots. You need JavaScript enabled to view it.)

- Carlos Ferreira – ISEP IPP (This email address is being protected from spambots. You need JavaScript enabled to view it.)

- Carlos Soares – Universidade do Porto (This email address is being protected from spambots. You need JavaScript enabled to view it.)

- Celso Kaestner - Universidade Tecnológica Federal do Paraná, (This email address is being protected from spambots. You need JavaScript enabled to view it.)

- Daniel Castro Silva – Universidade do Porto (This email address is being protected from spambots. You need JavaScript enabled to view it.)

- Gladys Castillo – Universidade de Aveiro e Choose Digital (This email address is being protected from spambots. You need JavaScript enabled to view it.)

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