In: Data Analytics

An illustration of the map of the world with location symbols and coronavirus molecules inside them. A person holds a tablet with coronavirus molecules in front of this map.

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...

An illustration of many hands holding smartphones, smartwatches, tablets, and laptops with coronavirus molecule and masking imagery on their screens. Words like "OUTBREAK," "COVID-19," "STAY HOME," "PANDEMIC," "LOCKDOWN", and exclamation points accompany the imagery. Coronavirus molecules hover in the air.

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

Microscopic rendering of the coronavirus COVID-19.

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...

Headshot of Ilya Shpitser.

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.”

Correlation graph with pink, blue, green, and yellow lines and blue dots.

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.

Headshot of Suchi Saria.

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.