Data science has emerged as a very strong, visible, and publicly recognized label for problem-solving, using large, ever-growing datasets and new data sources. The analysis and interpretation of these kinds of data include the adaptation of existing methods, and development of novel statistical methods for specific data science applications. The discussion on advantages, disadvantages, limitations and requirements of the use of alternative methodologies and data sources, in all areas of knowledge, is setting the stage for the debate in (inter)national communities of statisticians, computer scientists and other communities, all over the world. The ISI Special Interest Group on Data Science was approved by the ISI Executive Committee and ISI Council in 2021 to: (i) To strengthen the collaboration between statisticians, computer scientists, and other communities in the field of data science. (ii) To provide a ‘big tent’ to all ISI members, and other colleagues interested in data science and data analytics, to sit under. (iii) To emphasize the importance of data science in the activities promoted by the ISI and its associations. (iv) To foster capacity building on data science, including computational skills among statisticians, and statistical skills among computational scientists. (v) To coordinate and to promote, in collaboration with the ISI and its Associations, specific activities in the field of data science. In this panel discussion, we aim to discuss the challenges and opportunities for the ISI and for the statistical community in this Era of Big Data and Data Science. The five panelists will bring points of view from four continents, with male and female representation. This panel discussion will be of great interest to all ISI WSC 2023 participants and will raise awareness of the ISI members to the ISI SIG on Data Science. ALL THE COLLEAGUES WILL ACT AS DISCUSSANTS.

This is a proposal for a panel discussion. All five researchers are going to be panelists. The topics of each of the panelists are:
Angela Montanari: Statistics in the era of Data Science
John Bailer: Where can Statistics find partners for Analytics and Data Science
Nalini Ravishanker: Capacity Building Towards Data Science Literacy
Peter Popoola: The Fourth Industrial Revolution and Evolution of Data Science
Chun-houh Chen: Data Science and Statistics: A Smart Health Project as An Example

Organiser: Dr Paulo Canas Rodrigues

Chair: Dr Paulo Canas Rodrigues

Panellist: John Bailer

Panellist: Dr Chun-houh Chen

Panellist: Prof. Nalini Ravishanker

Panellist: Dr Osuolale Peter Popoola

Panellist: Veronica Gonzalez-Lopez