Hi 😃,

My name's Claudio, I'm from Italy.

Currently working in the student-founded organization @In_Phy_T, we develop domain-specific pipelines that include data-modeling pipelines and modeling frameworks in the fields of Computational Neuroscience, Computational Epidemiology and Computational Social Sciences.

I already contributed to developing open-source projects hosted on GitHub, like:

• UnrollingAverages.jl, a Julia package aimed at deconvolving moving averages exploiting all the information available;
• COVID19-Italy-Integrated-Surveillance-Data: contains age, sex and region stratified epidemiological incidences for Italy. Integration with online real-time modeling tools in progress;
• ICD_GEMs.jl: a Julia package that implements translation utilities from ICD-9 to ICD-10 and vice versa. More systematic coverage of the subject coming in the future.

And (much) more is coming!

Funding will be used to afford subscription-based research/academic tooling, like (depending on the amount received):

• Paid RSS services to improve literature coverage;
• Paid data or data-collection essential tools providers;
• Better hardware for ML/data intensive tasks;
• Paid versions of API, such as Twitter API.

I strongly believe (being myself a primary user and a learning contributor) in open source as it may be the only way to see giant, well-maintained ecosystems as well as generic tooling flourish and it also is (from personal experience) a great educational and personal growth instrument for students, that would require not only funding but also a better incentive system, especially in some areas of the world.