# Contributions for gsoc-23
**URL:** https://discourse.julialang.org/t/contributions-for-gsoc-23/93342
**Category:** New to Julia
**Tags:** gsoc
**Created:** [January 21, 2023, 9:13pm UTC](https://discourse.julialang.org/t/contributions-for-gsoc-23/93342 "2023-01-21T21:13:05Z")
**Posts on this page:** 2
**Page:** 1
### Author:  [@Atharva\_Deshmukh](https://discourse.julialang.org/u/Atharva_Deshmukh)
#### Post date: [January 21, 2023, 9:13pm UTC](https://discourse.julialang.org/t/contributions-for-gsoc-23/93342/1 "2023-01-21T21:13:05Z")
I’m interested for working in julia for GSoC 23. Will be eager to know how to get started…
Also would be helpful if you assign some beginner first issues to me
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### Author:  [@ChrisRackauckas](https://discourse.julialang.org/u/ChrisRackauckas)
#### Post date: [January 22, 2023, 4:27pm UTC](https://discourse.julialang.org/t/contributions-for-gsoc-23/93342/2 "2023-01-22T16:27:13Z")
What are you interested in? There’s lots in the SciML universe and equation solvers for those interested. See here:
> **[SciML: Open Source Software for Scientific Machine Learning](https://sciml.ai/dev/#google_summer_of_code)**
>
> Open Source Software for Scientific Machine Learning
I think some nice hotspots for GSoCs this year are NonlinearSolve.jl (and SimpleNonlinearSolve.jl), Optimization.jl, and BoundaryValueDiffEq.jl. There’s some low hanging fruit like a good implementation of DF-SANE ([DF-Sane method · Issue #117 · SciML/NonlinearSolve.jl · GitHub](https://github.com/SciML/NonlinearSolve.jl/issues/117)) where someone can focus a lot on the math and algorithms. There’s also some nice projects in neural ODE adjacent stuff in DiffEqFlux.jl which aren’t in the dev programs list right now.