Project: AgeingTimeUse, Horizon 2020 ERC
Having benefited from training in parallel computing in Julia, I decided to contribute to the academic community by applying my knowledge to accelerate the optimal matching of time-use sequences. I was able to reduce the time of calculation by two.
I posted a Medium blog post about the process and its code here. This is a more advanced topic and is rarely used in social sciences. However, I hope that more researchers will adopt the power of distributed computing with time because, ultimately, it would save them a lot of time with time-consuming algorithms like the Needleman-Wunsch.