The two-day agenda is packed with speakers from organizations honing the cutting edge of data science, including: Google, Esri, Pitney Bowes, Oracle, Orion Systems, Ordnance Survey, American Statistical Association, CrowdAI, MAXAR, NVIDIA, OGC, AIST, ESA, the City of Los Angeles, and several universities and government agencies.
Included on the agenda is a presentation by Wendy Martinez, the incoming president of the American Statistical Association. Wendy will present the keynote of Session 4: Outcomes, which concerns the application of geospatial data science. Wendy’s presentation is motivated by her interest in spatial statistics and comes from her experience as the director of the Mathematical Statistics Research Center at the US Bureau of Labor Statistics. The workshop will highlight how data science builds on statistics.
At the Location Powers: Data Science Summit you will be part of a discussion on how the core methods of data science - the established fundamentals as well as the latest trends - can provide valuable insights when used with geospatial information.
The Location Powers: Data Science Summit will convene experts on data science, machine learning, artificial intelligence, cloud computing, remote sensing, and Geographic Information Systems (GIS) to provide a technology basis. Participation by leaders in social sciences, business development, and government policy will lead to recommendations that frame and develop meaningful and impactful outcomes from these recent technological developments in geospatial data science.
Participants will discuss the development of intelligent systems using knowledge models and their subsequent impact to our insight and understanding of the world, society, and the diverse systems that comprise them. The workshop will conclude with recommendations on how to advance geospatial data science in theory and practice.
The explosive availability of data about nearly every aspect of human activity, coupled with rapid advances in computing technologies, is transforming data science. Data Science is currently in a Golden Age. The Golden Age is a mythological era in which peace and harmony prevailed, and people did not have to work to feed themselves for the earth provided food in abundance. Currently we are in an age of data abundance and highly available computing resources - a golden age of data science.
The shift from a data-scarce to a data-rich environment comes from mobile devices, remote sensing, and the Internet of Things (IoT). Nearly all of this data is tagged with location and time - meaning that valuable insights can be gained from applying geographical and temporal analyses.
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