Surface based slip trace analysis provides statistical insights into the synergistic coupling between different mechanisms occurring at the meso and microscopic length scales during the deformation of polycrystalline metals. Advancements in microscopy related techniques such as accurate electron channelling contrast imaging (A-ECCI) [1]–[3] and high-resolution electron back scattered diffraction (HR-EBSD) [4] data has provided access to multi-length scale datasets that can be treated via feature engineering algorithms. In particular, the enhanced contrast and resolution offered by these methodologies enable the application of automated feature extraction algorithms to extract useful information about the slip system activity distribution [5] and distributions for angular variables engaged in slip-transfer at grain boundaries [6]. The present talk focusses on how this information can be combined with principal component analysis to differentiate slip-transfer regimes and to tune yield parameters used in full-field crystal plasticity models. Such an approach is statistically relevant and versatile enough to account for strain fields measured by digital image correlation and surface topography obtained from optical profilometry or atomic force microscopy. References [1]H. Kriaa, A. GuittonN, and N. Maloufi, “Modeling Dislocation Contrasts Obtained by Accurate-Electron Channeling Contrast Imaging for Characterizing Deformation Mechanisms in Bulk Materials,” Materials (Basel)., vol. 12, no. 10, p. 1587, May 2019, doi: 10.3390/ma12101587. [2]J. Guyon, H. Mansour, N. Gey, M. A. Crimp, S. Chalal, and N. Maloufi, “Sub-micron resolution selected area electron channeling patterns,” Ultramicroscopy, vol. 149, pp. 34–44, Feb. 2015, doi: 10.1016/j.ultramic.2014.11.004. [3]M. Ben Haj Slama, N. Maloufi, J. Guyon, S. Bahi, L. Weiss, and A. Guitton, “In Situ Macroscopic Tensile Testing in SEM and Electron Channeling Contrast Imaging: Pencil Glide Evidenced in a Bulk β-Ti21S Polycrystal,” Materials (Basel)., vol. 12, no. 15, p. 2479, Aug. 2019, doi: 10.3390/ma12152479. [4]C. Ernould, B. Beausir, J.-J. Fundenberger, V. Taupin, and E. Bouzy, “Global DIC approach guided by a cross-correlation based initial guess for HR-EBSD and on-axis HR-TKD,” Acta Mater., vol. 191, pp. 131–148, Jun. 2020, doi: 10.1016/j.actamat.2020.03.026. [5]K. Venkatraman, M. Ben Haj Slama, V. Taupin, N. Maloufi, and A. Guitton, “Tuning critical resolved shear stress ratios for bcc-titanium Ti21S via an automated data analysis approach,” Model. Simul. Mater. Sci. Eng., vol. 29, no. 5, p. 055014, Jul. 2021, doi: 10.1088/1361-651X/abfeb0. [6]K. Venkatraman, V. Taupin, and A. Guitton, “Dimensionality reduction using principal component analysis to classify different grain boundary slip transfer regimes in BCC-Titanium Ti21S: A feature engineering-based approach,” Under review