DataKind/WorldBank Big Data Exploration against poverty and fraud

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Here are some of the projects that volunteers worked on

• Predicting Small-Scale Poverty Measures from Night Illumination - can freely available satellite imagery, showing average nighttime illumination, serve as a reasonable poverty measurement proxy? (yes, found that light information was predictive of poverty in 2001 with 2001 light data and 2001 census information.)
• Analyzing the World Bank's Project Data for 'Signals' - do successful or unsuccessful projects (or projects reporting corruption and the ones that don't) share any characteristics?

• Social networking analysis for risk measurement - can you forecast project risk using social networking analysis tools?
• World Bank Supplier Profiles - can the Bank and other agencies include publicly available data to gain a broader, more comprehensive understanding of their suppliers and use the information as proxies for risk management?
• Measuring Socioeconomic Indicators in Arabic Tweets - can Twitter data help you understand socio-economic trends in countries?
• Can you use simple heuristic auditing to sniff out discrepancies in expenditure data - what do you do when you have the information but don't know if it contains signals about potential fraud and corruption related risk?

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