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Description:

Human-centered geospatial computing is an emerging field that bridges gaps between information systems and human cognitive capabilities to enhance human activities and performance. Despite significant research progress on geospatial computing and analysis during the past several decades, integrating human-centered design into spatial decision support systems (SDSS) to help better understand coupled human and natural systems is still at an early stage. Many questions remain to be addressed: How can human knowledge be collected, represented, and transferred efficiently and effectively into SDSS? How can the different perspectives held by decision makers and stakeholders be incorporated to generate collaborative solutions to complex decision problems? Furthermore, knowledge is often derived from geospatial data that comes from various sources with different models, formats, and scales, leading to important data modeling and computational challenges. Such challenges pose impediments to the use of SDSS to integrate diverse data at scale, provide real-time insights, and generate intelligent support for human-centered decision making.

Spatial decision support systems represent a convergent area of research for integrating human-centered computing and design, cyberGIS, scalable data management, domain knowledge base, and geospatial visualization to tackle complex decision problems that exhibit spatial heterogeneity and interdependence. This session solicits papers that will advance geospatial computing and design, behavioral geography, and participatory cyberGIS in spatial decision-making for various application domains such as disaster management, urban planning, public health surveillance, and transportation management.

Non-Presenting Participants