Over the next three years, João Gama, researcher at INESC TEC, will act as the editor-in-chief of JSDA – International Journal of Data Science and Analytics. This journal promotes the presentation and discussion of new trends and opportunities, and the exchange of ideas and practices, encouraging collaboration between domains towards leveraging the analysis and data science domains.
João Gama has collaborated with JSDA since the publication was created, in 2016; and since 2020, he has been acting as the deputy editor-in-chief – a position he took during the DSAA Conference – International Conference on Data Science and Advanced Analytics –, which took place in Porto.
He was recently appointed editor-in-chief, with “well-established goals” for the three-year period – together with the rest of the editorial team. “We want to improve the position of the JDSA in the benchmark index”, he said. The researcher at the Laboratory of Artificial Intelligence and Decision Support (LIAAD) stated that the nomination “was a pleasant surprise”, also acknowledging that it will involve “a lot of work and commitment”. Among the members of the editorial board are also Alípio Jorge, Rita P. Ribeiro, and Bruno Veloso, researchers at LIAAD.
The International Journal of Data Science and Analytics covers four editing and publishing formats – Surveys, Research, Applications and Trends. Among the main topics, the journal focuses on works related to foundations of statistics and mathematics for data science and analysis; understanding and analysis of complex data; creation and extraction, processing, representation and modelling, machine learning and discovery; data analysis, pattern recognition, and intelligent processing of data, behaviours and systems; ethics, quality, privacy, security, trust and risk of science and data analysis, among others.
The journal promotes thematic collections regularly. Currently, submissions are open on topics like Social Mining and Big Data Ecosystem for Open, Responsible Data Science, AI and Data Science in FinTech, Data Science and AI for Marine Science and Blue Economy, Learning from Temporal Data.
The researchers mentioned in this news piece are associated with INESC TEC and UP-FEP e UP-FCUP.
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