We have initiated a systematic study of star formation in the Outer Galaxy to uncover the population of Young Stellar Objects (YSOs) in the relatively poorly studied star-forming clouds and investigate the impact of the environment on the star formation process. I will present the results from the analysis based on the data from the “Spitzer Mapping of the Outer Galaxy” survey (SMOG; PI Sean Carey) that covered ∼24 deg2 region in the Outer Galaxy, l = (102o, 109 o) and b = (-0.2 o, 3.2 o), in the IRAC 3.6–8.0 μm and MIPS 24 μm bands. The SMOG data have been combined with the data from the 2MASS (JHKs ) and WISE (3.5-22 μm) all-sky surveys. We have selected YSO candidates based on the color-color selection criteria, and then applied a series of filters to remove contaminating sources (e.g., background galaxies). The resulting list of YSO candidates includes ~1800 Class I and ~3000 Class II sources. Using the 12CO (1-0) data from the Canadian Galactic Plane Survey, we have determined distances to ~36% of the sources. We investigate the spatial clustering properties for YSO candidates with known distances: we use unsupervised hierarchical clustering algorithms to determine YSO agglomerations within the SMOG field, where we could identify 5 likely clusters. We have also performed an additional search for YSO candidates among the Spitzer/SMOG sources with the WISE counterparts by using an automated source identification scheme based on the Machine Learning algorithms. This method identified additional YSO candidates which were missed by classical color-color based selection criteria. We investigate how these methods can be efficiently used to identify YSO candidates over large portions of the Galactic plane.