SWIM intends to overcome the challenges in understanding complex scientific models by enabling stakeholder-driven analysis and computer aided interpretation. SWIM is derived from a USDA sponsored project focused on Water Sustainability Research in the Middle Rio Grande region. The platform is in process of a cyber-infrastructure overhaul that could potentially provide a broader impact in research capabilities directed to participatory modeling. SWIM is funded by the USDA under Grant No. 2015-68007-23130 and NSF grant No. 1835897.

iLink Room 3.1202D, Computer Science and Chemistry Building 500 West University Avenue, El Paso, TX 79968-0518, US. +1 (915) 747-6413 nvillanuevarosales@utep.edu We aim to improve the efficiency and effectiveness of the discovery, integration, processing and interpretation of scientific data. Our current approaches link human and machine knowledge to address societally-relevant problems in the areas of biomedical informatics, environmental sciences, geosciences and climate change.