Data Science
13th & 14th November 2019
Google Building Cl5,
1500 Crittenden Ln
Mountain View, CA 94043

NOTE: A report of the results of this workshop has been completed and published as the OGC White Paper: "Geospatial Data Science". This OGC White Paper describes Geospatial Data Science based on the Location Powers: Data Science Summit of November 2019. The white paper provides a description of the presentations and discussions of the summit along with recommendations for OGC activities to advance the field of Geospatial Data Science.

The Location Powers workshop presentations and panel sessions were recorded. The discussion groups were not recorded.

Links to the individual presentations are provided in the agenda below. Not all presentations are available. A single file with all available presentations as of 2020-01-23 is available here (173MB).

Tell Me More


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.

Concept Note for planning the Location Powers: Data Science Summit


Data Science

Machine Learning

Artificial Intelligence

Data Abundance

Streaming Sensors


Summit Agenda

Please check back for updates.

Summary Agenda

Day One - November 13 Day Two - November 14
Wednesday, 13th November
Time Session
08:30Check-In Begins
09:00 Opening:
- Welcome by Google : Ed Parsons, Google’s Geographer - Download pdf (1.73 MB)
- Welcome by OGC : Nadine Alameh, OGC CEO
- Workshop Overview: George Percivall, OGC CTO and Workshop Moderator - Download pdf (230 KB)
Session 1: Foundations/Motivations:     [Summary Agenda]
Session Details:

  • Session Moderator: Ed Parsons, Google
  • Session Rapporteur: George Percivall, OGC
  • Session Description: With the inundation of new geospatial data sources from imagery, sensors and the potential of new broadband pipelines such as 5G, there is a defined need of validating and cleansing data. These data will be in both structured and unstructured formats. This session on foundations will illustrate the challenges of curating data from these myriad sources and understanding both the veracity and accuracy that will be attributed to these sources.
09:15 Presentation on Foundations - Title: Fundamental Issues in Geospatial Data Science: Emerging Trends in Data and Analytics
Professor Marc Armstrong, Associate Dean and Professor of Geography, University of Iowa
10:00 Presentation on Foundations - Title: Scaling machine learning to handle visual data will result in more powerful AI
Nils Lahr, CEO Orion Systems
Reference: Video-slam-dunk-for-the-nba
Download: pdf (4.26 MB)
10:45 Panel on Foundations/Motivations :
12:00 Lunch
Session 2: Analytics and Representations:     [Summary Agenda]
Session Details:

  • Session Moderator: Kumar Navulur, Maxar
  • Session Rapporteur: Annie Burgess, ESIP Federation
  • Session Description: While geospatial scientists in the past may have spent 70% of their time on data capture and management, and only 30% on analytics, that model today and in the future will be flipped. As such, the engines of data analytics will need to be placed into the hands of both traditional GIS analysts as well as business intelligence and knowledge workers. This will require new tools to derive spatial statics, as an example, as well as utilizing graph technology for entity resolution. This session will aim to examine these topics and more.
1:00 Presentation on Analytics & Representations - Title: Knowledge-Powered Data Science for Integrated Modeling in Geosciences
Professor Yolanda Gil, USC Spatial Sciences Institute
Reference: Intelligent Systems for Geosciences
Download: Download pdf (22.38 MB)
1:40 Panel on Analytics :
2:30 Discussion Group on Analytics
Session 3: Ripe Trends     [Summary Agenda]
Session Details:

  • Session Moderator: Jay Theodore, CTO, Enterprise Technologies, Esri
  • Session Rapporteur: K. Kim, AIST and GeoAI DWG chair
  • Session Description: Computing at the edge will require interoperable sensors and other devices, machine learning and faster transfer of data. The coalescence of technologies such as IoT, 5G and cloud native computing is facilitating a new era of geoprocessing. This will impact the way data is captured, managed and processed where AI portends to impact everything from traffic management to adtech.
3:30 Presentation on Ripe Trends - Title: The AI Tsunami
Philippe Cases, ReadWrite Labs
Download: pdf (15.75 MB)
4:00 Panel on Ripe Trends :
6:00 Reception (no host) -
Stein's Beer Garden
895 Villa Street
Mountain View, CA 94041
Thursday, 14th November
Time Session
08:30Check-In Begins
09:00 Opening
Session 4: Outcomes/Applications     [Summary Agenda]
Session Details:

  • Session Moderator: Jeremy Morley, Ordnance Survey UK
  • Session Rapporteur: Ajay Gupta, chair of OGC Health WG
  • Session Description: The geospatial community recognizes the significance of location-based data but how are these data revealed and recognized as inputs to data science? Is the community supporting the integration of geospatial data with other enterprise computing solutions and ensuring that data scientists understand their value, social effects, applications and expected return on investment. This panel explore these topics and more.
9:15 Presentation on Outcomes - Title: Integration of Geospatial Data: Examples and Implications
Dr. Wendy Martinez, President-elect, American Statistical Association; and US Bureau of Labor Statistics.
Download: pdf (5.79 MB)
10:00 Panel on Outcomes :
10:45 Discussion Groups on Outcomes
12:00 Lunch
Session 5: Actions to Take     [Summary Agenda]
Session Details:

  • Session Moderator: Nadine Alameh, OGC
  • Session Rapporteur: Adam Martin, Esri
  • Session Description: This panel will attempt to identify what data science brings beyond traditional GIS and vice versa. What skill sets will be required and how do we train data scientists who are expected to use geospatial data. The objective will be to help organizations automate and scale geospatial data science insights into workflows throughout their organizations. In particular, what actions might OGC take. This final panel will summarize the suggested points of deliberation from previous sessions and suggest next actions.
1:00 Presentation on Actions
Satoshi Sekiguchi, AIST
Reference: SC2018
Perspective: When HPC met AI - Next generation of Geospatial Intelligence powered by the ABCI
Download: pdf (14.72 MB)
1:45 Presentation on Actions
Andrew Brooks, NGA - Title: Designing the Future of Data Science
2:30 Panel on Action :
3:45 Discussion Groups on Actions
Summary Session : [Summary Agenda]
4:45 Rapporteur Reports :
  1. George Percivall - Download pdf (105.88 KB)
  2. Annie Burgess - Download pdf (84.41 KB)
  3. K. Kim - Download pdf (120.68 KB)
  4. Ajay Gupta - Download pdf (83.58 KB)
  5. Adam Martin - Download pdf (85.3 KB)

Rapporteur reports will be used along with this draft outline to create an OGC Tech Note on Geospatial Data Science
5:30 Adjourn

Speakers and Panelists

Marc Armstrong

Associate Dean for Research and Infrastructure, and the Social Sciences
University of Iowa

Lauren Bennett


Andrew Brooks


Annie Burgess

ESIP Foundation

Philippe Cases

ReadWrite Labs

Megan Furman

Defense Digital Service, OSD

Yolanda Gil


Patrick Griffiths

Earth Observation Data Engineer
European Space Agency - ESRIN

Ajay Gupta

CEO of Health Solutions Research (HSR)

Keith Hare

Robert J. Hijmans

University California - Davis

Jeanne Holm

City of LA

Anand Kannan

Pitney Bowes

Mark Korver


Nils Lahr

Orions Systems

Wendy Martinez

US Bureau of Labor Statistics

Jeremy Morley

Ordnance Survey UK

Todd Mostak


Milind Naphade

CTO, Intelligent Video Analytics/AI Cities

Anand Padmanabhan


Devaki Raj

CEO and Founder, CrowdAI

Satoshi Sekiguchi


Jayant Sharma


Stephanie Shipp

Regan Smyth

Nature Serve

Kathleen Stewart


Jim Stokes


Ed Strocko

USDOT Bureau of Transportation Statistics

Jay Theodore

CTO, Enterprise Technologies, Esri

Steven Ward

Director of Geospatial Sciences, The Climate Corporation

Advisory Board

Ed Parsons

Google's Geographer

George Percivall

CTO, Chief Engineer

Patrick Griffiths

Earth Observation Data Engineer
European Space Agency - ESRIN

Don Sullivan


Caroline Bellamy

Chief Data Officer
Ordnance Survey

Roy Rathbun


Kyoung-Sook Kim


Tracey Birch


Jen Marcus


Shaowen Wang


Kumar Navular

Sr. Director, Global Strategic Growth

Adam Martin

Open Platform Product Manager

Joe Francica

Managing Director, Location Intelligence Solutions
Pitney Bowes


Registration for this event is now closed.

Meeting Location:

Google Building Cl5
1500 Crittenden Ln
Mountain View, CA, 94043 USA

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