Our research has been made possible by funds from the National Science Foundation (NSF),
the Hewlett-Packard Company (HP), the Knight Foundation, Facebook, the Craig Newmark Foundation,
the Texas National Security Network, and the University of Texas at Arlington.
Any opinions, findings, and conclusions or recommendations expressed in our research results are those of the author(s)
and do not necessarily reflect the views of the funding agencies.
National Natural Science Foundation of China Grant 61872172. Research on Representation Learning Based RDF Data Linkage Methods. Wei Hu (PI), Chengkai Li (Co-PI), Wenyang Bai, Cunyan Yin.
RMB630,000, Sept. 2018-Aug. 2021.
NSF Award #1719054. III: Small: Towards End-to-End Computer-Assisted Fact-Checking. Chengkai Li (PI), Mark Tremayne. $320,780 , Sept. 2017-Aug. 2020.
(Collaborative grant with Duke University (Jun Yang (PI)). The lead institution is UTA. The total of the grant is $500,000.)
Texas National Security Network Excellence Fund. Bot vs. Bot: Automated Detection of Fake-news Bot.
Chengkai Li (PI), Christoph Csallner, Angela Lee (UTD), Zhiqiang Lin (UTD), Mark Tremayne. $30,000, Jun. 2017-May 2018.
Knight Prototype Fund, John S. and James L. Knight Foundation. ClaimBuster. Chengkai Li (PI), Naeemul Hassan, Mark Tremayne, Bill Adair, Jun Yang, Cong Yu. $35,000, Nov. 2015-Apr. 2016.
National Natural Science Foundation of China Grant 61370019.
Research on Crowdsourcing Entity Linkage for the Semantic Web. Wei Hu (PI), Chengkai Li (Co-PI), Wenyang Bai, Gong Cheng. RMB780,000, Jan. 2014-Dec. 2017.