Training Programme

Geospatial Knowledge Infrastructure for National Development

10-12 May 2024, Rotterdam, The Netherlands

Introduction

The future lies in adopting the geospatial way, and it is the most efficient and effective way to collect, process, integrate, and utilize information for overall global, national, and individual development. But, concentrating only on data would not suffice, and it is imperative to move up the value chain from data to knowledge through Geospatial Knowledge Infrastructure (GKI).

GKI embodies a concept that champions the evolution of a nation's geospatial ecosystem along the value chain towards knowledge, diverging from the current emphasis on data infrastructures towards the establishment of knowledge infrastructures. National geospatial infrastructures, oriented towards knowledge, serve as structures empowering countries to ascend the knowledge value chain. These infrastructures are essential for national development, and they require partnerships, knowledge sharing, and capacity building to be successful. Countries can adopt it by investing in developing a positive and collaborative approach, including government to government, government to private, government to funding agencies, academia, and research institutes.

The adoption and integration of geospatial knowledge in critical economic sectors is crucial for national development. GKI plays a significant role in this regard by integrating geospatial approaches, data, and technologies to deliver location-based knowledge, services, and solutions. By incorporating geospatial knowledge into user workflows, the potential impact on sectoral growth and development becomes evident.

The three-day training programme on ‘Geospatial knowledge infrastructure (GKI) for national development’ will address crucial questions on the growth trajectory of geospatial knowledge, the influence of new-age technology ecosystems, including AI, Big Data Analytics, Cloud Computing, Robotics and Drones on user segments, and the role and relevance of the paradigm shift from data to knowledge in national development. It will also help NGAs to improve their data management capabilities by enhancing their understanding of geospatial infrastructure, promoting data sharing and interoperability, increasing efficiency, enabling better decision-making, fostering collaboration and cooperation, and adapting to new technologies.

Learning Objectives

To gain a greater understanding of:

  • The evolving role of national geospatial agencies in digital age.
  • The socio-economic impact of Geospatial Knowledge Infrastructure (GKI).
  • The geospatial knowledge valuechain and its role in sustainable development.
  • The changing geospatial ecosystem and its convergence with the broader digital ecosystem.
  • The growing business models for partnerships and collaborations among various stakeholders.
  • The components of integrated geospatial strategies and their significance in national development.

Course Content

Module 1 – Geospatial Knowledge Infrastructure (GKI) and its Socio-Economic Impact
Lesson - 1

Relevance and importance of Geospatial Knowledge Infrastructure (GKI)

  • Geospatial Knowledge Infrastructure (GKI) concepts and key elements
  • Role and relevance of GKI in national development
  • Evolving roles of National Geospatial Agencies (NGAs) in Digital Age
  • Q & A
Lesson - 2

The socio-economic impact of Geospatial Knowledge Infrastructure (GKI)

  • Scope and fundamentals of economic impact assessment
  • Research Methodologies
  • Modules of economic impact assessment for geospatial agencies
  • Value of Economic Impact and its relationship with GKI for National Development
  • Two case studies
  • Q & A
Lesson - 3

Live data streams in geospatial knowledge infrastructures

  • Evolution from static data to data streams to knowledge
  • Role of real-time data in providing actionable context
  • Technology enabling real-time observations
  • Integration of real-time data for knowledge creation to support decision-making
  • Case for public participation in real-time observations and decision-making
  • Q & A
Module 2 – Foundation Data Infrastructure
Lesson - 4

Global Fundamental Geospatial Data Themes

  • Introduction to global fundamental geospatial data themes, as adopted by UN-GGIM
  • Theme description and importance
  • How each theme supports Sustainable development goals (SDGs)
  • Role of Fundamental Data Themes in 3D Mapping / National Digital twin
  • Q & A
Lesson - 5

Global Geodetic Reference Framework (GGRF)

  • An overview of the GGRF, its importance, and how it underpins evidence-based policies, decisions and program delivery
  • Background and current state of the GGRF and associated challenges
  • Components of the GGRF including the International Terrestrial Reference Frame (ITRF), International Celestial Reference Frame (ICRF) and physical height systems
  • Standards and conventions related to the GGRF
  • Q & A
Module 3 – Standards & Interoperability
Lesson - 6

Data Access and Interoperability

  • Open data and licences
  • Metadata
  • Semantic and organisational interoperability
  • Data quality assurance and dashboards
  • Introduction to standards, data access standards, API standards
  • Integration of spatial and statistical data, meteorological data integration
  • Application of APIs
  • Q & A
Module 4 – Collaboration & Partnerships
Lesson - 7

Business and Funding Models

  • Product-centric model
  • Service-oriented model
  • Government to Government (G2G)
  • Public Private Partnership (PPP)
  • Grant and aid programs by development agencies
  • Q & A
Module 5 – IT Infrastructure and Architecture for Knowledge Services
Lesson - 8

Leveraging Latest Data and GeoAI Technologies for National Mapping

  • Leveraging multiple imagery datasets available in the commercial industry and public sector satellites for national map updates
  • Use of technologies including AI/ML for map maintenance and updates using change detection and other techniques
  • Extending the use of national maps for diverse applications beyond traditional mapping
  • Q & A
Lesson - 9

Cloud Computing

  • Overview of cloud computing, including its definition, characteristics and service models
  • Cloud deployment models
  • Cloud storage and data management
  • Cloud security
  • Cloud native application development
  • Cloud-based GIS applications
  • Cloud based collaboration and sharing
  • Cloud based AI and machine learning
  • Cloud computing strategy and governance
  • Q & A
Module 6 – Integration of GKI with User Domain Workflow
Lesson - 10

Geospatial Infrastructure for AEC Industry

Module 7 – Policy and Governance
Lesson - 11

Legal and Policy Frameworks

Trainers

Shivangi Somvanshi

Director - GKI
Geospatial World
India

Ananya Narain

Vice President - Consultancy
Geospatial World
India

Josef Strobl

Department of geoinformatics
University of Salzburg

Paul Jenssen

Expert Geostandads
Geonovum

Rosemarie Mijlhoff-Portier


Geonovum

Girish Kumar

Former Surveyor General of India

Kumar Navulur

Founder & CEO
GeoCognition

Siva Ravada

Vice President of Development
Oracle
USA

John P. Wilson

USC Professor and Founding Director
Spatial Sciences Institute, University of Southern California
USA

Mark C. Abrams

Chief Scientific Officer
Exquisite Geolocation Systems LLC

TARGET PARTICIPANTS

Topographic agencies
Hydrographic agencies
Land administration agencies
Geological agencies
Space agencies
Space agencies
Government geospatial data producers and providers

Registration Fees

Note: Fees is exclusive of 21% VAT

Training only (10 - 12 may 2024)

€ 2000

Training + GWF (10 – 16 May 2024)

€ 2500