Other ESW Reports

266 items available

Permanent URI for this collection

This includes miscellaneous ESW types and pre-2003 ESW type reports that are subsequently completed and released.

Items in this collection

Now showing 1 - 4 of 4
  • Publication
    The Role of Consumer Consent in Open Banking: Financial Inclusion Support Framework
    (Washington, DC, 2021-12) World Bank
    Open banking schemes provide consumers with more choice and new financial products and services through the use of technology, particularly application programing interfaces (API's). The main objective of this paper is to provide guidance on how to implement consumer consent protocols to access bank account data under open banking scenarios.
  • Publication
    Detecting Urban Clues for Road Safety: Leveraging Big Data and Machine Learning in World Bank Transport Projects
    (Washington, DC: World Bank, 2021-11-30) World Bank
    Transportation services and infrastructure connect people, businesses, and places. They allow citizens to access opportunities, such as jobs, education, health services, recreation, and enable the movement and distribution of goods. As a result, transport services and infrastructure are key to the economic development of cities and regions. While the development of transportation systems and infrastructure is vital to economic growth, it is also important to evaluate and mitigate its potential negative externalities and costs to society. The purpose of this guidance note is to provide concrete guidance on how big data and machine learning (ML) can be leveraged in road safety analysis. The document presents opportunities to use these new technologies to improve current road safety assessment procedures across the project cycle, in accordance with the World Bank’s latest Environmental and Social Framework (ESF) guidelines. This guidance note is for World Bank task teams who are interested in using new data sources and analytical methods for road safety analysis across various types of projects. This document consists of three parts. Part 1 discusses the World Bank’s current guidelines for incorporating road safety analysis across the project cycle, examines existing data and approaches and identifies opportunities to improve current methods using big data and ML. Part 2 provides an overview of these new technologies and concrete guidance on how they can be integrated into World Bank projects. Part 3 presents case studies on two regions of interest – Bogotá, Colombia and Padang, Indonesia to demonstrate how ML can be implemented to evaluate road safety. The document concludes with recommendations for using big data and ML in road safety assessments in the future.
  • Publication
    Detecting Urban Clues for Road Safety: Leveraging Big Data and Machine Learning
    (Washington, DC: World Bank, 2021-11-30) Antos, Sarah Elizabeth; Triveno Chan Jan, Luis Miguel; Ghesquiere, Francis; Czapski, Radoslaw; Syed Shafat Ali, Bushra; Anapolsky, Sebastian; Gosling-Goldsmith, Jessica; Wang, Charles
    Transportation services and infrastructure connect people, businesses, and places. They allow citizens to access opportunities, such as jobs, education, health services, recreation, and enable the movement and distribution of goods. As a result, transport services and infrastructure are key to the economic development of cities and regions. The purpose of this guidance note is to provide concrete guidance on how big data and machine learning (ML) can be leveraged in road safety analysis. The document presents opportunities to use these new technologies to improve current methods for data collection and analysis for various road safety assessments. This guidance note provides a practical guide for using new data sources and analytical methods for road safety analysis in different types of projects that may impact road infrastructure or risk-related factors. This document consists of three parts. Part 1 provides an overview of existing approaches and tools for road safety assessment and identifies opportunities to improve these using new technologies such as big data and ML. Part 2 provides an overview of these new technologies and concrete guidance on how they can be integrated into transport projects for road safety analysis. Part 3 presents case studies on two regions of interest – Bogotá, Colombia and Padang, Indonesia to demonstrate how ML can be implemented to evaluate road safety. The document concludes with recommendations for using big data and ML in road safety assessments in the future.
  • Publication
    Bulgaria - Efficiency Analysis of STI Programs
    (Washington, DC, 2021-10-31) World Bank
    Transitioning to a more knowledge- and technology-based economy will be critical if Bulgaria is to achieve convergence with its European peers in terms of economic productivity and living standards. The coming year presents an important opportunity for Bulgaria to improve its support for science, technology, and innovation (STI). This report assesses the efficiency of selected Bulgarian STI support programs, tracks progress on outcomes, and reports on beneficiaries’ perceptions of program quality. This report is the third and final major component of the World Bank’s Bulgaria public expenditure review for STI (PER STI) project. This efficiency analysis addresses an identified gap in Bulgaria’s STI system: the monitoring and evaluation (M and E) of STI support programs. This report aims to address those gaps by identifying benchmarks for assessing the results of STI support programs in Bulgaria and providing a methodology and tools for carrying out such evaluations in the future. The report is structured in nine sections. Section one presents the methodology, section two provides a comparison of key results across the six programs included in the analysis, sections three through eight provide program-specific analysis and findings, and section nine provides recommendations.