News – Page 53 – Frost Institute for Data Science & Computing

Blockchain Project to Detect and Track Fake News

July 13, 2020August 4, 2023

Visiting Distinguished Professor and IDSC Innovation Officer Yelena Yesha, PhD, is launching a collaborative blockchain project to detect and track fake news by identifying the source in real time. “The coronavirus pandemic has led to an explosion of misinformation, such as ‘miracle cures’ as well as scammers trying to take advantage of people, and others who spread rumors for fun,” said Dr. Yesha. “As information spreads quickly in social media, it is an urgent task to develop methods for preventing the spread of fake news.” Read more “Blockchain Project to Detect and Track Fake News” →

A Study of Mesoscale Air–Sea Interaction in the Southern…

July 10, 2020October 26, 2020

Coupling between the atmosphere and ocean is scale-dependent. For example, in the mid-latitudes and at oceanic mesoscales (spatial scales between 10 and hundreds of kilometers), the air–sea interactions are driven by the oceanic variability, and the atmosphere responds to the changes in the sea surface temperature anomalies (SSTA), which are created by fast oceanic advection. This study explores these interactions, using a regional high-resolution atmosphere–ocean coupled model with a realistic atmospheric component and a semi-idealized oceanic model of a zonal flow. Read more “A Study of Mesoscale Air–Sea Interaction in the Southern Ocean with a Regional Coupled Model” →

Inference From Complex Networks: Role of Symmetry and Applicability…

July 9, 2020January 4, 2021

Symmetry is a mathematical concept only partially explored in networks, especially at the applicative level. One reason is a certain lack of interpretable inference obtained from networks. While the network systemic associations (links) between entities (nodes) emerge from the underlying dependence structure, this latter is only partially explicit via the established direct interactors and remains to a certain extent latent (distant node predicted paths). Read more “Inference From Complex Networks: Role of Symmetry and Applicability to Images” →

Understanding Intermodel Diversity When Simulating the Time of Emergence…

July 8, 2020October 26, 2020

Using a statistical method, we examined the time of emergence (ToE), which was defined as the year when the global mean surface temperature (GMST) trend exceeds the trend explained by internal variability, using 33 Coupled Model Intercomparison Project Phase 5 (CMIP5) climate models for 1861–2100. We found that the GMST trend explained by internal variability showed minimal changes even though the GMST trend rapidly increased under the Representative Climate Pathway 8.5 scenario. Read more “Understanding Intermodel Diversity When Simulating the Time of Emergence in CMIP5 Climate Models” →

Data Ethics During COVID-19, Thursday 7/23/2020

July 1, 2020August 4, 2023

The University of Miami Institute for Data Science and Computing, Institute for Bioethics and Health Policy, and the Ethics Programs are collaborating to host a Zoom discussion on Data Ethics during COVID-19. From public health surveillance to contact tracing and the never-ending challenge of balancing the duties of science and privacy, the Covid-19 pandemic is a test-case of our ability to manage extraordinary challenges. The ethical decisions surrounding data collection, sharing, and use, shapes and will help us meet these challenges. Read more “Data Ethics During COVID-19, Thursday 7/23/2020” →

Current and Emerging Developments in Subseasonal to Decadal Prediction

June 26, 2020March 25, 2021

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” →

Using Blockchain to Empower Digital Government

June 20, 2020July 27, 2023

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” →

A Person- and Time-Varying Vector Autoregressive Model to Capture…

June 12, 2020January 4, 2021

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” →

Why the Flatten-the-Curve Chart Worked

June 8, 2020July 1, 2020

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” →

Bioethics and Precision Medicine Focus on Information Technology

June 8, 2020March 20, 2022

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” →