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partner: HackYourPhD
description: process in which I organize my PhD work in agreement with some modern criteria
criteria: - open science, towards reproducible science and knowledge as a Common and - collaborative work, git-like organisation and communication on the advancement of the work to enable synergies - interdisciplinary work - modern methods, semantic database, automation, machine learning on big data
As I completed a Master’s degree in fundamental Physics, I am eager to go to next step: a PhD — research in a fertile and dynamic environment. I am temptated to work independently and go my own way but this has a major problem: isolation means weak interactions, hence less synergy. And anyway, open science practices are easy to integrate in a regular academic environment.
So, I propose my energy to a lab or more. I am eager to be a few months and years having discussions, doing experiment design, data analysis, interpretation, incremental development and feedback thanks to errors.
Whatever the project, I’ll feed a knowledge database with all I encounter, improve my reasoner (see github) and develop some simulations systems.
And inside the project, let’s discuss it together.
Because these open practices enable cooperation, better spread of science (see SOHA, a project aiming to a better access to knowledge in less developped countries). And because this is the way I achieve the best a critical compromise: optimisation of my efficience vs. exploration of concepts and theories.
Not because science would be broken. But it seems reproducibility must be enhanced in order to enhance confidence in results.
Not because labs working in secret are doing wrong. But because so much protocols, data, code, results are kept behind paywalls and on private computers.
Not because peer review would be broken. But because the implementation of 2 peers anonymous peer review neglects the power of crowds and comments.
Open science practices are not about fighting against other type of practices but about expanding them with 21${st}$ century updates.
I am currently looking for an academic lab in order to benefit from high quality, high intensity team work.
Yet, there seem to be promising environments, like LaPaillasse where science can be done. Why not launch a lab, like the NumBio Lab, which dynamics started but stayed not that much ambitious?
Centers of interest lead the way through the multiple possible domains of science but I don’t want to be enclosed into one domain.
Bistability and oscillations in chemical pathways.
Evolution and non-linear properties of biological systems.
Diversity, effect of individual variation on experiments and theory knowledge building.
Effect of variation, fluctuations, perturbations on fonctions (stability).
Non-observation of fundamental physical phenomena in biological systems - limits of experimental capacities. (Water is ferroelectric! Do cells make use of it?)
Boostraping my research project
Jibé @jibe_jeybee About me
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