Data Type: Online Search Data

Using artificial intelligence to model displacement in Somalia 2

Using artificial intelligence to model displacement in Somalia

Predicting refugee and internally displaced persons (IDP) arrivals is of critical interest in humanitarian emergencies since field operations teams must prepare in advance for these arrivals. The better prepared they are the better assistance teams can provide in the form of food, shelter, and other protection-related services, as well as for contingency planning purposes.  Project …

Using artificial intelligence to model displacement in Somalia Read More »

Banking on Fintech: Financial Inclusion of Micro Enterprises in Indonesia 3

Banking on Fintech: Financial Inclusion of Micro Enterprises in Indonesia

Micro merchants — the small shop owners, street food vendors, and many others like them — make up the backbone of Indonesia’s economy, yet many of them are often excluded from financial services. With the support of the Department of Foreign Affairs and Trade (DFAT) Australia and in collaboration with the Indonesia Fintech Association (AFTECH), Pulse Lab Jakarta launched …

Banking on Fintech: Financial Inclusion of Micro Enterprises in Indonesia Read More »

Estimating Migration Flows Using Online Search Data 4

Estimating Migration Flows Using Online Search Data

This study was conducted in partnership with the United Nations Population Fund (UNFPA) to explore how online search data could be analysed to understand migration flows. Using Australia as a case study, Google search query data from around the world was disaggregated by country and compared to historical official monthly migration statistics provided by UNFPA. Correlations were observed …

Estimating Migration Flows Using Online Search Data Read More »

Online Signals for Risk Factors of Non-Communicable Diseases (NCDs) 5

Online Signals for Risk Factors of Non-Communicable Diseases (NCDs)

Global Pulse is collaborating with the World Health Organization (WHO) exploring how risk factors (e.g., tobacco, alcohol, diet and physical activity) of non-communicable diseases (e.g., cancer, diabetes, depression) could be inferred from big data sources as social media and online internet searches. 70% of the reduction in coronary mortality can be attributed to population level …

Online Signals for Risk Factors of Non-Communicable Diseases (NCDs) Read More »

Scroll to Top