Congratulations to Rion Correia, who successfully defended his PhD dissertation on Prediction of Drug Interaction and Adverse Reactions, with data from Electronic Health Records, Clinical Reporting, Scientific Literature, and Social Media, using Complexity Science Methods. Dr. Correia’s research used network science, machine learning, and data science to uncover population-level associations of drugs and symptoms, useful for public health surveillance. His findings show that Social Media (Instagram and Twitter) and Electronic Health Records of an entire city in Southern Brazil, are very useful to reveal how the Drug interaction phenomenon varies across distinct groups. For instance, he identifying gender biases and specific communities of interest in chronic disease (e.g. Epilepsy and Depression). In addition to Complex Networks and Systems, his dissertation contributes to the fields of biomedical informatics and precision public health by leveraging heterogeneous data sources at multiple levels to understand population and individual pharmacology differences and other public health problems.
The spread of fake news is no game, but to recent CNetS graduate 
Researchers at CNetS, 
The indictment of 13 Russians in the operation of a “troll farm” that spread false information related to the 2016 U.S. presidential election has renewed the spotlight on the power of “fake news” to influence public opinion. Now, an Indiana University faculty member who studies the spread of misinformation online is joining prominent legal scholars, social scientists and researchers in a global “call to action” in the fight against it. 
Fil Menczer, professor of computer science and informatics at the 
Congratulations to