- High-dimensional Approximation (organizer Peter Binev)
- Approximation of PDE's (organizer Oleg Davydov)
- Approximation Theory and Algebraic Geometry (organizers Michael DiPasquale and Tanya Sorokina)
- Approximation Theory in Signal Processing (organizers Keaton Hamm and Sui Tang)
- Wavelets and Framelets with Applications (organizers Bin Han,
Maria Skopina, and Xiaosheng Zhuang)
- Local Analysis using Global Data (organizers Frank Filbir and Hrushikesh Mhaskar)
- Advances in Kernel Approximation with Applications (organizer Ed Fuselier)
- Multivariate Splines for Applications (organizer Ming-Jun Lai)
- Compressive Sensing: Approximation and Optimization (organizer Ming-Jun Lai)
- Advances in Parametric Approximation (organizers John Jakeman and Akil Narayan)
- Random Polynomials (organizer Igor Pritsker),
- Spline Approximation in Isogeometric Analysis (organizer Hendrik Speleers)
- Practical function approximation (organizers Alex Townsend and Daan Huybrechs)
- Sparse Approximation and Mathematical Imaging, (organizers: Xiaosheng Zhuang and Qi Ye)
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