In: Data Analytics
Hopkins researchers look to Twitter to evaluate social distancing measures
By comparing Twitter data from before and after the COVID-19 outbreak, Johns Hopkins University researchers found a profound impact on the...
Social media fuels spread of COVID-19 information – and misinformation
John C. Malone Professor Mark Dredze discusses how social media can help combat—or contribute to—the spread of misinformation during the COVID-19 pandemic
Malone researchers publish socioeconomic dataset for predictive modeling of COVID-19
Mathias Unberath, assistant research professor in the Malone Center, and team have published an open-source, machine readable dataset related to socioeconomic...
Ilya Shpitser receives NSF CAREER Award
The five-year CAREER award will support his project, “Robust Causal and Statistical Inference in High Dimensional Structured Systems with Hidden Variables.”
Course urges caution about causation
Malone Center graduate students teach Intersession course "Should Susan Smoke? An Introduction to Causal Inference," where each week students pore over case studies to sharpen their reasoning skills.
The future of machine learning in healthcare
Suchi Saria and fellow researchers provide a roadmap to accelerate safe, ethically responsible applications of machine learning in healthcare in recent paper published in Nature Medicine.