Weather and climate variations on subseasonal to decadal time scales can have enormous social, economic, and environmental impacts, making skillful predictions on these time scales a valuable tool for decision-makers. As such, there is a growing interest in the scientific, operational, and applications communities in Read more “Current and Emerging Developments in Subseasonal to Decadal Prediction”
Published in The Proceedings of the 21st Annual International Conference on Digital Government Research, Dr. Yelena Yesha’s Keynote Speech “Using Blockchain to Empower Digital Government” was given on June 18, 2020, via Discord through Seoul National University. The June 15-19, 2020 Conference was titled “Intelligent Government in the Intelligent Information Society.” Read more “Using Blockchain to Empower Digital Government”
Head movement is an important but often overlooked component of emotion and social interaction. Examination of regularity and differences in head movements of infant-mother dyads over time and across dyads can shed light on whether and how mothers and infants alter their dynamics over the course of an interaction to adapt to each others. Read more “A Person- and Time-Varying Vector Autoregressive Model to Capture Interactive Infant-Mother Head Movement Dynamics”
IDSC Visualization Director Alberto Cairo speaks on the effective simplicity of the COVID-19 Flatten-the-Curve chart for Mother Jones magazine. We are all familiar with the “flatten the curve” chart, but what made it so effective?
Read more “Why the Flatten-the-Curve Chart Worked”
Information technology has an increasing, and increasingly important, role in medical practice and research. This includes precision medicine and all its tools and strategies. This chapter begins with a review of the history of the electronic health record, then identifies and discusses the ethical issues and challenges that arise in precision medicine because of the essential role of information technology. Read more “Bioethics and Precision Medicine Focus on Information Technology”
Please join us for a virtual presentation and Q&A with Dr. Nicholas Tsinoremas and Mr. Christopher Mader, who are developing an interactive geographic visualization alert system using Machine Learning algorithms to provide early warning for COVID-19 surveillance.
While the infection rate of coronavirus disease 2019 (COVID-19) rises exponentially around the globe, individuals with autism spectrum disorder are being identified as part of a group at higher risk for complications from COVID-19.1 Read more “COVID-19: Overcoming the Challenges Faced by Individuals with Autism and their Families”