Data Science
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Google Building Cl5,
1500 Crittenden Ln
Mountain View, CA 94043

坚果app官网下载 A report of the results of this workshop is under development. Check back in May 2020 to see the final product

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).

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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).

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Concept Note for planning the Location Powers: Data Science Summit

#LP_DS



Data Science

Machine Learning

Artificial Intelligence

Data Abundance

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Please check back for updates.

Summary Agenda

Day One - November 13
  • Session 1: Foundations
  • 手机国外网站加速器_手机网络加速器_安卓手机网络加速器 ...:科技企业加速器(EnterpriseAccelerator),是一种以快速成长企业为主要服务对象,通过服务模式创新充分满足企业对于空间、管理、服务、合作等方面个性化需求的新型空间载体和服务网络,具有较强的集群吸引力和创新网络形态。是介于企业孵化器和科技园区之间的一种中间业态。
  • Session 2: Analytics and Representations
  • Mathematical methods, computer algorithms and data structures
  • 坚果加速器安卓系统 Ripe Trends: AI/ML
  • AI, Machine learning
  • Reception/Dinner
Day Two - November 14
Wednesday, 13th November
Time Session
08:30Check-In Begins
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- 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, 坚果加速器最新ios版免费下载-坚果加速器苹果客户端软件 ...:2021-12-2 · 坚果加速器最新ios免费版是一款可以帮助大家提高游戏运行速度的应用,在这款软件中,为大家来保障游戏网络的稳定,以及游戏过程中的游戏进行的顺畅,避免了游戏的延迟,卡顿以及掉线的情况的出现,为大家来营造最优质的游戏的环境!感兴趣的小伙伴赶快来下载体验吧!, University of Iowa
10:00 坚果加速器破解版app下载_坚果加速器破解版应用官方版下载 ...:2021-4-30 · 坚果加速器破解版这款软件是一款非常好用的手机加速器,这款软件在大家玩游戏或者是看视频的时候帮助大家解决很多问题,因为大家在玩游戏的时候会觉得卡顿,而且看视频的时候也是一卡一卡的,但是有了这款软件,帮你解决这些问题哦!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]
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  • 坚果加速器app官网下载 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
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4:00 Panel on Ripe Trends :
坚果加速器app官网下载 Reception (no host) -
Stein's Beer Garden
895 Villa Street
Mountain View, CA 94041
650.963.9568
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)
坚果nuts加速器官网 Panel on Outcomes :
10:45 Discussion Groups on Outcomes
 
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Session 5: Actions to Take     [Summary Agenda]
Session Details:

  • Session Moderator: Nadine Alameh, OGC
  • 坚果nuts加速器官网 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
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Perspective: When HPC met AI - Next generation of Geospatial Intelligence powered by the ABCI
坚果nuts加速器官网 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 坚果加速器下载官网
  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 坚果加速器app官网下载 to create an OGC Tech Note on Geospatial Data Science
5:30 Adjourn

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Marc Armstrong

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

Lauren Bennett

Esri

Andrew Brooks

NGA

Annie Burgess

ESIP Foundation

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ReadWrite Labs

Megan Furman

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USC

Patrick Griffiths

Earth Observation Data Engineer
European Space Agency - ESRIN

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CEO of Health Solutions Research (HSR)

Keith Hare

Robert J. Hijmans

University California - Davis

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City of LA

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Anand Kannan

Pitney Bowes

Mark Korver

AWS

Nils Lahr

Orions Systems

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Wendy Martinez

US Bureau of Labor Statistics

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Jeremy Morley

Ordnance Survey UK

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Todd Mostak

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CTO, Intelligent Video Analytics/AI Cities

Anand Padmanabhan

UIUC

Devaki Raj

CEO and Founder, CrowdAI

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AIST

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Jayant Sharma

Oracle

Stephanie Shipp

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Kathleen Stewart

UMCP/CGIS

Jim Stokes

Maxar

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Ed Strocko

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Jay Theodore

CTO, Enterprise Technologies, Esri

Steven Ward

Director of Geospatial Sciences, The Climate Corporation

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Ed Parsons

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George Percivall

CTO, Chief Engineer
OGC

Patrick Griffiths

Earth Observation Data Engineer
European Space Agency - ESRIN

Don Sullivan

NASA

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Chief Data Officer
Ordnance Survey

Roy Rathbun

NGA

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Kyoung-Sook Kim

AIST

Tracey Birch

SOFWERX

Jen Marcus

Planet

Shaowen Wang

UIUC

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Kumar Navular

Sr. Director, Global Strategic Growth
Maxar

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Adam Martin

Open Platform Product Manager
Esri

Joe Francica

Managing Director, Location Intelligence Solutions
Pitney Bowes

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Registration for this event is now closed.

Meeting Location:

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

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