Megha Mukim
Senior Urban Economist, Social, Urban, Rural, and Resilience Global Practice
Presentation Title: Using Big Data to Measure City Innovation Capacity
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Big Data in Action: Applications in World Bank Group Operations
This series profiles initiatives led by teams across various practices to use big data in World Bank operations. These interviews and case studies illustrate how non-traditional data sources and techniques can be used to improve people’s lives.
VIDEO
Using Big Data to Measure City Innovation Capacity
Using big data and web scraping techniques, this project developed a dashboard that provides reliable, up-to-date, and comparable data necessary to understand and inform policy decisions that affect start-ups. Read the full case study here.
VIDEO
Leveraging Big Data to Help Competition Agencies Tackle Anticompetitive Behavior
Using machine learning and web-scraping techniques, this project develops a database of key decisions by competition authorities, which would serve as an essential infrastructure for future visualization, analyses, and identification of anticompetitive behavior. Read the full case study here.
VIDEO
Using Geospatial Data to Track Changes in Urbanization
Analysis of earth observation (EO) data from satellites can help track and understand urban transformation— including distribution and density of urban sprawl, changes in land use, and the growth rate of built-up areas. Read the full case study here.
VIDEO
Using Data from Mobile Phones to Measure Access to Opportunity in Haiti
Through analysis of call detail records, this project identifies key intra-city connectivity challenges, producing an employment accessibility analysis for Port-au-Prince and Cap-Haitien and identifying major bottlenecks and possible interventions, like infrastructure, re-zoning, and other mechanism to promote inclusive employment.
DOCUMENT
Case Study: Remote Sensing and Machine Learning in action for Country Diagnostics in North Macedonia
Increasing availability of satellite data coupled with rapid advancements in machine learning techniques are producing high-resolution measurements of the pace and nature of economic change. It is now possible to readily use robust satellite-based measurements of economic trends to inform policy design and analysis. Read the full Case Study here.
DOCUMENT
Case Study: Mining Big Data to Improve Transport Corridor Investments
The analysis suggested overall that smaller developing countries with smoother terrain, access to the sea, openness to foreign trade and effective governance could experience a greater boost in economic activity near transport corridor projects. Read the full Case Study here.
About the Presenters
Georgiana Pop
Senior Economist, Trade and Competitiveness Global Practice
Presentation Title: Leveraging Big Data to Help Competition Agencies Tackle Anticompetitive Behavior
Andrew Michael Whitby
Data Scientist, Development Data Group
Presentation Title: Leveraging Big Data to Help Competition Agencies Tackle Anticompetitive Behavior
Ran Goldblatt
Geographer, University of California San Diego, Big Pixel Initiative
Presentation Title: Using Geospatial Data to Track Changes in Urbanization
Nancy Lozano Garcia
Senior Economist, Social, Urban, Rural, and Resilience Global Practice
Presentation Title: Using Data from Mobile Phones to Measure Access to Opportunity in Haiti
Paolo Avner
Urban Economist, Social, Urban, Rural, and Resilience Global Practice
Presentation Title: Using Data from Mobile Phones to Measure Access to Opportunity in Haiti
Matias Herrera Dappe
Senior Economist, GGI (Infrastructure Practice Group), World Bank
Case Study Title: Mining Big Data to Improve Transport Corridor Investments
