Link to Session Platform

Chairs(s):

Zhe Zhang, Texas A&M University

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Description:

Call for Participation:

In the context of spatial decision-making enabled by geographic information science and systems (GIS), human-centered geospatial computing is an emerging field that bridges gaps between computing systems and human cognition 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 in spatial decision support systems (SDSS) to help better understand coupled human and natural systems is still at the early stage. Many questions remain to be addressed such as the following examples. How can human knowledge be collected, represented, and transferred promptly into SDSS? How to incorporate different perspectives of decision makers and stakeholders 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 tremendous computational challenges. Such challenges raise the research question of how SDSS can integrate such data at scale, provide real-time insights, and generate intelligent support for human-centered decision making.

Human-Centered SDSS represents 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 panel session solicits discussions on synergistically advancing human-centered 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 Agenda