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Open data and geospatial technology have the potential to revolutionize decision-making processes across a variety of sectors, including urban planning, disaster response, environmental management, and more. However, the use of open data in the geospatial domain poses its own set of challenges, including data quality, reliability, and standardization concerns. Managing, maintaining, and updating large datasets can also be resource-intensive, posing a challenge for organizations and communities that rely on open data. This talk will explore the opportunities and challenges of using open data in the context of geospatial technology. I will begin by discussing the potential benefits of open data, including increased transparency, improved collaboration, and the ability to make more informed decisions. I will then delve into the key challenges of using open data in geospatial contexts, including issues related to data quality and reliability, standardization, and the sheer volume of data. We will explore strategies for managing and maintaining large datasets, such as crowdsourcing and automated data processing, and discuss best practices for ensuring data quality and reliability. This talk is relevant to anyone interested in the intersection of open data and geospatial technology, including data scientists, GIS professionals, policymakers, and community leaders. Attendees will come away with a deeper understanding of the opportunities and challenges of using open data in geospatial contexts and gain practical insights on how to leverage this data to drive social and economic impact. By the end of the talk, attendees will be equipped with the knowledge and tools they need to make the most of open data in the geospatial domain.

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