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Role of Academe in Generation of Statistics for SDGs • Gaps in Existing Data System in Monitoring SDGs • Granularity • Timeliness • Inadequate indicators for some Goals • What can be done? • Indexing to generate additional indicators • Early warning systems • Model-based estimation • Combine data from different sources – data mining algorithms to generate insights Data Revolution • Integrating the data compiled by NSOs with information collected by other data producers from public and private institutions. • Modifying some aspects of how these data producers operate their core business. • National statistical systems, main challenge is to build their capacity to engage with big data. Data Revolution • Challenge for private actors (already have the technical know-how on analyzing big data). • Need to find a balance between protecting its interests and treating data as a public good while safeguarding its confidentiality. • Need to adhere to a common statistical framework to ensure the quality and comparability of the data that they produce. • Development community increasingly recognizes the advantages of using big data to enhance the relevance and timeliness of official statistics • should also make a conscious effort to address issues surrounding data quality and methodology • development of skills needed to work with big data, technological requirements, and legal framework for sharing of big data. • Development community needs to work closely with various stakeholders including the private sector, national statistical bureaus and government. • Characteristics of Data • Dependence, in fact clustering • Heterogeneous data sources • Contributions of the Academe: • Research on the development of new methods that are then submitted for peer review to ensure statistical soundness of the methods. • Capacity Building, more sustainable strategies, e.g., mentoring rather than formal training sessions, integrating technology transfer in their regular daily tasks. Early Warning System 𝑃 𝑦𝑡 = 𝑚𝑡 = 𝑒 −𝑚𝑡 𝑦𝑡 𝑚𝑡 𝑦𝑡 ! 𝑚𝑡 = 𝜌1 𝑦𝑡−1 + 1 − 𝜌1 𝑒𝑥𝑝 (𝑋𝑡 `𝛿) 𝑦𝑡 - incidence of diseases 𝑋𝑡 - macro policies, health expenditure, etc. Prosperity Indicators 𝑦𝑡 = 𝑓1 𝑥𝑡 + 𝑓2 𝑥𝑡−1 + ⋯ + 𝑓𝑝 𝑥𝑡−𝑝+1 + 𝜖𝑡 𝑦𝑡 − proportion of adults with an account at a bank or other financial institutions Goal 8: Promote sustained, inclusive and sustainable economic growth, full and productive employment and decent work for all • Webscrapping (keywords) Production Data 𝑦𝑡 = 𝑓 𝑥𝑡 1 , … , 𝑥𝑡 𝑘 + 𝑧𝑡 𝛽 + 𝜖𝑡 𝑦𝑡 −yield (QTR) 𝑥𝑡 1 - remotely sensed-data 𝑧𝑡 − weather indicators 𝑦𝑡 ∗ 𝐴𝑡 Thank you.