https://www.youtube.com/watch?v=2vHKxdSPOwo&t=2s Abstract The recent devastating earthquakes in Turkey are a stark reminder of the risk natural hazards pose to many communities around the world despite significant advances in our understanding of the hazards and substantial improvements in design and construction… Continue Reading Using machine learning and uncertainty quantification to tackle data scarcity in high-resolution disaster simulations
Climate Meets Complex Systems: Exploring Predictability of Extreme Climate Events via a Complex Network Approach
https://youtu.be/Jaq4uYf5Pg0 Abstract The Earth system is a very complex and dynamical one basing on various feedbacks. This makes predictions and risk analysis even of very strong (sometime extreme) events as floods, landslides, heatwaves, and earthquakes etc. a challenging task. After… Continue Reading Climate Meets Complex Systems: Exploring Predictability of Extreme Climate Events via a Complex Network Approach
Smartwatch-Brain Interface Architectures
https://www.youtube.com/watch?v=ProyMALHklU&list=PLcNfxjQdq0nc4wF9GpU9GoZ5hn9QBbUKi&index=7 Abstract Smartwatches provide rich sets of pulsatile physiological data under various modalities and circumstances. An unexploited capability is that the pulsatile physiological time series collected by wrist-worn wearable devices can be used for recovering internal brain dynamics. Two design… Continue Reading Smartwatch-Brain Interface Architectures
Preemption: How states are limiting local policies around food, firearm safety prevention, and paid sick leave
https://youtu.be/GtVRGkpgq4M Abstract Preemption occurs when a higher level of government restricts or withdraws the authority of a lower level of government to act on a particular issue. Historically, preemption was used as a point of negotiation in the legislative process.… Continue Reading Preemption: How states are limiting local policies around food, firearm safety prevention, and paid sick leave
Epidemic modeling and forecasting: a journey from the cocktail assumption (shaken, not stirred) to the advent of agent-based computations
https://youtu.be/DerVVXztJWE Abstract Modeling and forecasting epidemics have had a century-long history within the scientific community, dating back from the early nineteen-hundreds. At that time, big cities began to flourish worldwide, constituting the most important fabric upon which epidemics can spread.… Continue Reading Epidemic modeling and forecasting: a journey from the cocktail assumption (shaken, not stirred) to the advent of agent-based computations
Data-Centric Micro-Reaction Engineering for a Sustainable Future
https://www.youtube.com/watch?v=PGSqSYeZ_wQ Abstract Our laboratory investigates impactful problems related to sustainability through application of chemical reaction engineering principles. There is a need for autonomous laboratory-scale flow reactors that can high-throughput screen and generate sufficient experimental data to decipher reaction kinetics and… Continue Reading Data-Centric Micro-Reaction Engineering for a Sustainable Future
K4P – Knowledge for People, the Planet and Prosperity through Partnerships: Challenging the inclusive development of the Global South
https://youtu.be/s4otS-zASJc Abstract A new international joint venture oriented towards strengthening the inclusive development of the Global South over the next decades will be discussed in an way to foster “Human Agency” and the governance of “Data Ecologies” towards greening our… Continue Reading K4P – Knowledge for People, the Planet and Prosperity through Partnerships: Challenging the inclusive development of the Global South
On the Tradeoff Between Explainability and Privacy in Databases
https://www.youtube.com/watch?v=LqLqB-bMQ9o&list=PLcNfxjQdq0nc4wF9GpU9GoZ5hn9QBbUKi&index=1&t=6s Abstract Explanations for query results have been the subject of extensive research. The advantages of such explanations are evident, as they allow users to validate and justify the results of the query and deepen their knowledge about the data.… Continue Reading On the Tradeoff Between Explainability and Privacy in Databases