Dino Carpentras

Social complexity / Science communication / Rationality

With the EU vs (the) Virus

I’m glad to announce that from today I will be participating in the EU vs Virus Hackaton. A 3-days hackathon dedicated to finding innovative solutions to fight the problems caused by the current epidemics.

Personally, I will be looking for developing solutions which will exploit social complexity. If you are interested in participating, just register to https://euvsvirus.org/ and join our forces! 💪💪💪

Making people understand COVID’s data

During these days of quarantine, a hard task is to keep people informed. The main problem comes with the nature of the data that are usually misleading. Indeed, while people can easily understand the concept of new cases or number of deceased, these values are not representative of the real growth. Indeed, the number of cases has a clear exponential growth.

A solution is using the growth rate, as many are doing now. Unfortunately, this is a quite abstract concept and most people do not have any idea of how big a rate of 30% actually is. And even if we say that this rate decreased by 80% they still have no clue how good this is.

With Social Complexity Labs we decided instead to use a more understandable measurement: the doubling time. That is the time needed for doubling the number of cases at that specific rate. We express it in days and months, so people can directly quantify the increase.

Furthermore, we are also working on making the graphs aesthetically pleasing. (All of this is part of our project on better scientific communication).

The results look like this:

Or this:

If you like the idea feel free to re-use the images or apply the doubling to your graphs!

Fighting blindness

Nature Photonics (i.f. = 38) published an article I worked on. The article focuses on an innovative technique for observing the retina at the cellular level, allowing for early detection of eye-diseases (and thus, preventing blindness).

I personally developed the mathematical model for this project, which was also published in Optics Express and in my PhD thesis. This model allowed us to understand what determined the image formation process and how to maximize image quality (reaching the cellular level).

This joint publication was developed by the team working at École Polytechnique fédérale de Lausanne, Switzerland, under the supervision of Prof. Christophe Moser and Prof. Francine Behar-Cohen.

We also issued a worldwide patent based on this technology and, some members of the team also made a startup.


Nature’s article: https://go.nature.com/3bqDF7W

Optics Express article: https://bit.ly/3dvRd40

PhD thesis: https://bit.ly/2JiTqSs

Patent: https://bit.ly/3dvHrP4

Moser’s Lab: https://www.epfl.ch/labs/lapd/

Marie Curie Fellowship

I am honored to announce that I have been awarded with a fellowship from the Marie Skłodowska-Curie Actions of the European Commission. This fund is extremely competitive, as the success ratio is ~10%.

The project is strictly related to rationality as I will study vaccine hesitancy using mathematical and computational models.

The fellowship will take place at University of Limerick, Ireland (awarded Irish university of 2019), with Dr. Mike Quayle (expert in social psychology) and Prof. James Gleeson (expert in multilayer networks).

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