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.

Concept Note for planning the Location Powers: Data Science Summit

#LP_DS



Data Science

Machine Learning

Artificial Intelligence

Data Abundance

Streaming Sensors

Spatialization


Summit Agenda

Please check back for updates.

Summary Agenda

Day One - November 13 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
Wednesday, 13th November
Time Session
09:00 Opening:
- Welcome by Google : Ed Parsons, Google’s Geographer
- Welcome by OGC : Nadine Alameh, OGC CEO
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
10:45 Panel on Foundations/Motivations :
 
12:00Lunch
 
Session 2: Analytics and Representations:     [Summary Agenda]
Session Details:

  • Session Moderator: Kumar Navulur, Maxar
  • Session Rapporteur: TBD
  • 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 Gill, USC Spatial Sciences Institute
Reference: Intelligent Systems for Geosciences
1:40 Panel on Analytics :
2:30 Discussion Group on Analytics
Session 3: Ripe Trends     [Summary Agenda]
Session Details:

  • Session Moderator: Jay Theodore, Esri CTO.
  • 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
4:00 Panel on Ripe Trends :
5:00Reception/Dinner (no host - sponsorship opportunity)
Thursday, 14th November
Time Session
09:00 Opening
Session 4: Outcomes     [Summary Agenda]
Session Details:

  • Session Moderator: Caroline Bellamy, Ordnance Survey UK
  • Session Rapporteur: Adam Martin, Esri
  • 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.
10:00 Panel on Outcomes :
  • Regan Smyth, NatureServe
  • Megan Furman, Defense Digital Service, OSD
  • Location Based Marketing/Retail
  • Insurance
  • Transportation
10:45Discussion Groups on Outcomes
 
12:00Lunch
 
Session 5: Actions to Take     [Summary Agenda]
Session Details:

  • Session Moderator: Nadine Alameh
  • Session Rapporteur: Joe Francica
  • 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
1:45 Presentation on Actions
Andrew Brooks, NGA
2:30 Panel on Action :
3:45Discussion Groups on Actions
Summary Session :     [Summary Agenda]
4:45 Rapporteur Reports :
  1. George Percivall
  2. K. Kim
  3. TBD
  4. Adam Martin
  5. Joe Francica

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

Speakers and Panelists

Marc Armstrong

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

Lauren Bennett

Esri

Andrew Brooks

NGA

Philippe Cases

ReadWrite Labs

Megan Furman

Defense Digital Service, OSD

Yolanda Gill

USC

Patrick Griffiths

Earth Observation Data Engineer
European Space Agency - ESRIN

Keith Hare

Robert J. Hijmans

University California - Davis

Jeanne Holm

City of LA

Nils Lahr

Orions Systems

Olga Luganova

Pitney Bowes

Wendy Martinez

US Bureau of Labor Statistics

Milind Naphade

CTO, Intelligent Video Analytics/AI Cities

Anand Padmanabhan

UIUC

Devaki Raj

CEO and Founder, CrowdAI

Satoshi Sekiguchi

AIST

Jayant Sharma

Oracle

Stephanie Shipp

Regan Smyth

Nature Serve

Kathleen Stewart

UMCP/CGIS

Jim Stokes

Maxar

Jay Theodore

CTO - ArcGIS Enterprise group, Esri

Advisory Board

Ed Parsons

Google's Geographer

George Percivall

CTO, Chief Engineer
OGC

Patrick Griffiths

Earth Observation Data Engineer
European Space Agency - ESRIN

Don Sullivan

NASA

Caroline Bellamy

Chief Data Officer
Ordnance Survey

Roy Rathbun

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

Meeting Location:

Google Crittenden Campus
Mountain View, CA, 32801 USA

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