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X-ORIGINAL-URL:https://mefmi.org/
X-WR-CALNAME:MEFMI
X-WR-CALDESC:- CELEBRATING 3 DECADES OF CAPACITY BUILDING
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BEGIN:VEVENT
CLASS:PUBLIC
UID:MEC-0169cf885f882efd795951253db5cdfb@mefmi.org
DTSTART:20261109T080000Z
DTEND:20261113T180000Z
DTSTAMP:20251214T072900Z
CREATED:20251214
LAST-MODIFIED:20251214
PRIORITY:5
TRANSP:OPAQUE
SUMMARY:Virtual Regional Workshop Introduction to Data Science for Macroeconomic Statistics
DESCRIPTION:Background\nThere is a need for reliable data to support planning, budgeting, and evaluation of activities essential for prudent economic management. To be useful, such data must be accurate, timely, disaggregated, and widely accessible. Robust statistical systems that support policy development and enhance accountability enable stakeholders to freely exchange high-quality data, ensuring that funding and development efforts are effective.\nNowhere is the need for better data more urgent than in the MEFMI region. There have been gains in the frequency and quality in the past because all MEFMI member countries, apart from Namibia (in Special Data Dissemination Standard (SDDS)), participate in Enhanced General Data Dissemination System (e-GDDS). However, the building blocks for statistical systems in the MEFMI region remain weak.\nThe region still faces significant data-related challenges, including data quality issues, limited data access and infrastructure, lack of skilled data professionals, and cybersecurity concerns. These challenges hinder the nations’ ability to leverage digitalisation and innovation for informed decision-making, economic growth, and improved service delivery.\nIt is against this background that MEFMI will conduct a virtual regional workshop on introduction to Data Science for Macroeconomic Statistics to assist member countries to attain technological advancements and innovation in statistics collection, processing and dissemination.\nObjectives\nThe primary objective of the course is to assist participants to explore how big data and machine learning techniques may be used in the compilation of high frequency indicators.\nCourse Content\nThe course will cover the following:\n\n\nScalable Big Data Systems: Provide support in setting up Big Data architecture, encompassing data extraction, preprocessing, and visualization in their various institutions.\n\n\nMachine Learning: Developing skills in machine learning data modelling.\n\n\nImplement natural language processing (NLP) for Sentiment Analysis: Carry out sentiment analysis with NLP technologies to support macroeconomic analysis.\n\n\nDemonstrate the application of these Big Data technologies and resources to improve timelines and granularity of their official statistics.\n\n\nCollaboration and Knowledge Sharing: Facilitate peer-learning on Big Data applications and explore collaborations between agencies working on projects of mutual interest; and\n\n\nArtificial Intelligence technologies in macroeconomic statistics.\n\n\nTarget Group\nJunior-to-mid-level officials in ministries of finance/ economic planning responsible for economic modelling and policy analysis. The course is also relevant for central banks and statistics officials dealing with issues related to policy analysis.\n
URL:https://mefmi.org/events/virtual-regional-workshop-introduction-to-data-science-for-macroeconomic-statistics/
CATEGORIES:MACROECONOMIC MANAGEMENT
LOCATION:Online
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