The rapid evolution of Computational and Data Sciences is unmistakable, as technology becomes more deeply embedded in all industries and every facet of society. Subsequently, there is rising demand for graduates equipped with digital literacy and proficient computing skills. This surge is driving growth in both undergraduate and graduate enrollments in computer science courses.
HGA Science + Technology Principal and Design Principal Samir Srouji, along with our Design Insight Group, led an investigation aimed at understanding the ramifications of the increasing integration of computational sciences across diverse disciplines and its effects on architectural planning and design. The research aimed to uncover drivers behind data and computational science programs, explore potential design solutions, and assess their implications for the future. The overarching objective was to gain a better understanding of:
- Drivers of data and computational sciences programs
- How these drivers inspire design solutions
- Future implications
The investigation team employed a combination of primary and secondary research methods, including literature review, analysis of building and floor plans, and interviews with directors of data and computational science programs at four prominent national universities.
We invite you to explore the findings of our study, which delve into essential aspects of planning and key metrics for computational science facilities. It provides insights for those tasked with developing or enhancing a data and computational research and education program. These insights are essential for creating programs that effectively serve students, attract top faculty, and adapt and grow alongside the evolving landscape of the field.