Prof. Xiaoqian "Joy" Wang receives NSF CAREER Award
Xiaoqian “Joy” Wang, assistant professor in Purdue University’s Elmore Family School of Electrical and Computer Engineering, has received a National Science Foundation (NSF) CAREER Award. These prestigious awards are in support of junior faculty who exemplify the role of teacher-scholars through research and education, and the integration of these endeavors in the context of their organizations' missions. The awards, presented once each year, include a federal grant for research and education activities for five consecutive years.
Wang’s grant will support a project entitled “CAREER: Advancing Fair Data Mining via New Robust and Explainable Algorithms and Human-Centered Approaches,” that focuses on predictive discrimination, which is widespread in artificial intelligence applications that affect human life.
“I am honored to receive this award,” says Wang. “Through this research, my goal is to ease human efforts to build, adopt and interact with fair artificial intelligence models.”
Wang says automated decision-making can replicate, exaggerate social inequities, and even enforce and legitimize new forms of discrimination. This research focuses on fundamental research activities to advance equity in data mining and machine learning and enable efficient human-computer interaction in human-centered and wellness-focused real-world problems.