What is AIS Data?

This introductory course aims to raise awareness of what AIS data is and shows how it can be applied at a National Statistical Organization (NSO). Information will be shared on how to obtain AIS data, plus the opportunities and challenges it presents for incorporating its use at the NSO.

Topics

SDG
SDG1: No poverty
SDG3: Good health and well-being for people
SDG7: Affordable and clean energy
SDG8: Decent work and economic growth
SDG9: Industry, innovation, and infrastructure
SDG11: Sustainable cities and communities
SDG13: Climate action
SDG14: Life below water
SDG16: Peace, justice and strong institutions
SDG17: Partnerships for the goals
Subject
Big Data
Statistics
Economic statistics
Trade and balance of payments
Transport and Tourism
Methodology and statistical processes
Big data and geospatial information
Keywords
AIS
big data
emissions
global trade
transport

This introductory course aims to raise awareness of what AIS data is and to showcase how it can be applied at a National Statistical Organisation (NSO). Information will be shared on how to obtain AIS data, plus the opportunities and challenges it presents for incorporating its use at the NSO.

By the end of this course, learners will be able to:

  • Explain what AIS data is, what information it contains and its general uses;
  • Recognize some of the challenges and opportunities associated with the use of AIS data for statistical analysis
  • Explain where to obtain AIS data
  • Recognize the current applications of AIS data for the production of, or in support of, statistical outputs at NSOs

This e-learning course is a self-paced course with one module developed by the Task Team on AIS data of the UN Committee of Experts on Big Data and Data Science for Official Statistics.

The course takes approximately 30 minutes to complete.

Target Audience

All staff at NSOs

Learning Objectives

  • Explain what AIS data is, and the opportunities and challenges posed by its use at the NSO
  • Recognize where to obtain AIS data, and any difficulties associated with this
  • Recognize current applications of AIS data being used or researched for the production of statistical outputs

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