Biostatistics: Expert consultation at all stages of research and analysis
Bioinformatics: Assistance with identifying solutions and performing computing with high-dimensional data
Artificial intelligence and machine learning: Assistance in incorporating newly developed tools into research
Data management: Consultation in design, architecture, and assistance with securing and documenting
Data sharing: Consultation and assistance with expectations of funders and journals, and navigation of key platforms
Spatial and geo-spatial statistics and modeling: Maintenance of extensive geodatabase and consultation and assistance with incorporation of spatial data into analyses; expertise extends to analysis of spatial data from 3-dimensonal tissue analyses
Data report-back: Communities expect data and study results return, and participants in studies expect results back; the DSC will team with the CEC to use best practices for Center members
Annual rate of change in landslide area (% yr−1) from 1992 to 2020 by fitting simple ordinary least squares linear regression models to timeseries data on landslide area for each 10 km × 10 km cell. Increasing cases are overlaid with the first occurrence layer, showing road-related increases in Tehri Garhwal and Ramban, as well as earthquake related increases in Bagmati. Decreasing cases present landscapes that experienced vegetation recovery (e.g., Sirmour (India)) and noise from glacial terrain (e.g., higher elevations in Karnali (Nepal)). From Chen TK, Kincey ME, Rosser NJ, Seto KC. Identifying recurrent and persistent landslides using satellite imagery and deep learning: A 30-year analysis of the Himalaya. Sci Total Environ. 2024 Apr 20;922:171161. doi: 10.1016/j.scitotenv.2024.171161. Epub 2024 Feb 21. PMID: 38387570; PMCID: PMC11290057.
