Graph neural networks (GNN) are vital for analyzing real-world problems (e.g., network analysis, drug interaction, electronic design automation, e-commerce) that use graph models. However, efficient GNN acceleration faces with multiple challenges related to high and variable sparsity of input feature vectors, power-law degree distribution in the…

Public science events (PSEs) are an increasingly popular mode of informal science engagement. The burgeoning research on PSEs suggests a number of important benefits for visitors to these events, including increased scientific knowledge, improved attitudes toward science, and an increased awareness of science in everyday life. However, these…

Developing scientific literacy, which involves applying scientific knowledge to solve real-world problems, is a primary goal in science education. Socioscientific Issue (SSI) provides students opportunities to reason through authentic and complex scientific dilemmas that reflect real-world issues, thus fostering a deeper understanding of…

Science and society are inseparably linked, shaping each other in ways that define our world, emphasizing the need to teach science for empowering students capable of taking meaningful action toward building a sustainable and just society. Developing sustainability competencies in students is an important step toward this goal, with controversial…