Our computational science capabilities have created a recent explosion of data that is rapidly changing how the scientific community investigates complex phenomenon. In particular, we are now leveraging high performance computing resources to simulate across a variety of applications of interest.The challenges of analyzing scientific data are particularly severe because they are large and unwieldy.

Some grand challenges facing humanity include climate change and health. Unfortunately, implementing effective solutions for these challenges is counteracted by misinformation, disinformation, and malinformation (MDM), e.g., climate change denying or anti-vaccine propaganda. To address this issue, we propose robust and holistic fact verification methods. The proposed methods can reduce data bias, aggregate information across multiple statements, and yield global conclusions.