Identifying whether online information is faulty or ungrounded is important to ensure information integrity and a well-informed public. This was especially challenging during the COVID-19 pandemic when misinformation spread like wildfire across the Internet. A new project led by Associate Professor Dong Wang will integrate diverse human and machine intelligence to examine multimodal data (e.g., text and image) that was produced during the pandemic. His project, "Crowd-Assisted Human-AI Teaming with Explanations," has been awarded a three-year, $599,999 grant from the National Science Foundation (NSF).