Data Science
13th & 14th November 2019
Google Crittenden Campus,
Mountain View, CA
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Conversation

The explosive availability of data about nearly every aspect of human activity along with revolutionary advances in computing technologies is transforming geospatial data science. The shift from data-scarce to data-rich environment comes from mobile devices, remote sensing and the Internet of Things. Nearly all of this data has components of location and time. Innovations in cloud computing and big data provides methods to perform data analytics at exceedingly large scale and speed. The development of intelligent systems using knowledge models and their impact on our insights and understanding will be focus of the Location Powers: Data Science Summit.

The Location Powers series brings together industry, research and government experts from across the globe into an interactive discussion that assess the current situation and produces recommendations for future technology innovations and standards development. The Location Powers summits are key to the technology innovation promoted by the Open Geospatial Consortium (OGC).

The Location Powers: Data Science summit will convene experts on data science, machine learning, artificial intelligence, cloud computing, remote sensing and GIS to provide a technology basis. Participation by leaders in social sciences, business development and government policy will lead to recommendations that have meaningful outcomes from the geospatial data science developments.

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Data Science

Machine Learning

Artificial Intelligence

Cloud computing

Remote sensing

GIS


Summit Agenda

Please check back for updates.

Summary Agenda

Day One - November 13
  • Session 1: Foundations
  • Data abundance, big data analytics,
  • Session 2: Analytics and Representations
  • Mathematical methods, computer algorithms and data structures
  • Session 3: Ripe Trends
  • AI, Machine learning, linked data, property graphs,
  • Reception/Dinner
Day Two - November 14
  • Session 4: Outcomes
  • How can geospatial data science make a difference?
  • Session 5: Actions to Take
  • What should organizations do to advance geospatial data science and its outcomes?
  • Summary: Rapporteur Reports

Speakers

Lauren Bennett

Esri

Yolanda Gill

USC

Patrick Griffiths

ESA

Nils Lahr

Orions Systems

Olga Luganova

PB

Anand Padmanabhan

UIUC

Satoshi Sekiguchi

AIST

Jayant Sharma

Oracle

Kathleen Stewart

UMCP/CGIS

Andrew Brown

NGA

Advisory Board

Ed Parsons

Google

George Percivall

Chief Engineer
OGC

Patrick Griffiths

Earth Observation Data Engineer
European Space Agency - ESRIN

Don Sullivan

NASA

Caroline Bellamy

Chief Data Officer
Ordnance Survey

Roy Rathburn

NGA

Kyoung-Sook Kim

AIST

Tracey Birch

SOFWERX

Jen Marcus

Planet

Shaowen Wang

UIUC

Kumar Navular

Sr. Director, Global Strategic Growth
Maxar

Adam Martin

Open Platform Product Manager
Esri

Joe Francica

Managing Director, Location Intelligence Solutions
Pitney Bowes

Registration

Registration for this event will open soon.

Meeting Location:

Google Crittenden Campus
Mountain View, CA, 32801 USA

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