Focus and Scope

Data Discovery welcomes multidisciplinary research across all areas of data science and its applications.

The scope of the Data Discovery includes:

• ⁠Methodologies and Tools: development of algorithms, models, analytical techniques, data visualization, and computational approaches;
• ⁠⁠Data Applications in Sciences: data-driven studies in Natural Sciences, Life Sciences, and Applied Sciences, with emphasis on integrating experimental, observational, and computational data;
• ⁠⁠Data Applications in Technology and Engineering: innovations in smart manufacturing, IoT, healthcare, robotics, renewable energy, and infrastructure;
• ⁠⁠Interdisciplinary and Emerging Areas: applications in environment, climate modeling, sustainability, social sciences, humanities, bioinformatics, quantum data, and digital technologies;
• ⁠⁠Ethics and Societal Impact: issues related to data governance, privacy, reproducibility, open data, and responsible use of data science.