Miscellaneous Knowledge Notes

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  • Publication
    Systems in Action: Tanzania
    (World Bank, Washington, DC, 2015-11) World Bank
    Education systems are large, complex organizations that encompass not only various sets of actors and inputs, but also the relationships that allow those actors and units to work together. When standards, rules, accountability relationships and financing levels are aligned towards shared education goals, the education system as a whole, in all its complexity and size, is coherent and able to perform well. Improving learning outcomes therefore requires much more than simply increasing resources; education systems must be strengthened at the component and the system level, to help equip children, youth and adults with knowledge and skills for life. The World Bank helps countries ensure ‘learning for all’ through support to countries on both the financing and knowledge fronts. The Education Global Practice within the World Bank champions a systems approach, by holistically evaluating which education policies and programs are most likely to create quality learning environments and improve student performance, especially among the disadvantaged and excluded.
  • Publication
    We Feel Fine: Big Data Observations of Citizen Sentiment about State Institutions and Social Inclusion
    (World Bank, Washington, DC, 2015-06) Lemieux, Victoria
    Motivated by the significant decline in citizen’s trust in governments over the past decades, this paper explores how policy decision makers and researchers can use social media analytics to investigate trust, specifically the relationship among trust in government, trust in state institutions, and citizens’ collective behavior. Analysis of these complex socio-political issues using online social data requires a human in the inference loop while also benefiting from computational methods to handle large amounts of unstructured data and the inference of relevant data features. To highlight the power of a mixed-initiative visual analytics-data science approach, this technical note describes the exploratory analysis work undertaken for analysis of collections of Tweets from Brazil, and describes further work that conceives data science methods to assist the analysis process by supporting definition of constructs of concepts of interest using social media data, and assisting the evaluation of evidence for hypotheses evaluation in an interactive-machine learning fashion. The outcomes of this project aim to support social sciences inquiry using observational social media data and World Bank operations.