Galina Veres
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View article: Flowminder standards in producing mobility and population estimates from call details records in low- and middle-income countries
Flowminder standards in producing mobility and population estimates from call details records in low- and middle-income countries Open
Extracting the population mobility information contained in Call Detail Records (CDRs) is of critical importance in data poor contexts such as in low- and middle-income countries (LMICs), where it can support humanitarian and human develop…
View article: Monitoring the impact of the 2020-2021 COVID-19 mobility restrictions: Flowminder CDR analysis in seven low- and middle-income countries
Monitoring the impact of the 2020-2021 COVID-19 mobility restrictions: Flowminder CDR analysis in seven low- and middle-income countries Open
During the COVID-19 pandemic, many countries imposed mobility restrictions to reduce transmission and control the spread of the disease. Anonymised and aggregated mobile operator data, such as call detail records (CDRs), can provide near-r…
View article: Correcting measurement biases in the detection of long and short stay locations in sparse Call Detail Records (CDRs)
Correcting measurement biases in the detection of long and short stay locations in sparse Call Detail Records (CDRs) Open
With mobile phone technologies continuing to spread around the world, Call Detail Records (CDR) represent an attractive additional data source for inferring internal migration in addition to traditional data sources such as surveys and adm…
View article: Challenges in predicting individual poverty status from MNO customer segmentation metrics and phone surveys: a Papua New Guinea case study
Challenges in predicting individual poverty status from MNO customer segmentation metrics and phone surveys: a Papua New Guinea case study Open
Papua New Guinea (PNG) faces challenges in estimating the geospatial distribution of population poverty due to data availability and quality. The last census was conducted in 2011, and the next census has been delayed until 2024. Conductin…
View article: The impact of apparent 'teleports' on the estimation of mobility from Call Detail Records (CDRs)
The impact of apparent 'teleports' on the estimation of mobility from Call Detail Records (CDRs) Open
The assumption underpinning the extraction of mobility information from Call Detail Records (CDRs) or other mobile operator data is that, if a subscriber is recorded from cells that are in different locations, then the subscriber has moved…
View article: Automated Feature Classification and Knowledge Extraction from Wireline Geophysical Observations: Big Data Potential for Offshore Resources Assessment
Automated Feature Classification and Knowledge Extraction from Wireline Geophysical Observations: Big Data Potential for Offshore Resources Assessment Open
Scientific drilling of the volcanic ocean crust recovers cores and undertakes downholewireline logging. However, because core recovery rates are typically low (<30%), interpreting thewireline data is essential to gain a complete underst…
View article: Scalable big data platform, mining and analytics services for optimized forecast of animals habitats
Scalable big data platform, mining and analytics services for optimized forecast of animals habitats Open
The effects of climate change have been observed for decades now that we can access to multiple methods of Earth Observation (EO) using in situ, air-borne and space-borne sensing. The generated EO Big Data from these sources is of paramoun…
View article: EO big data analytics for the discovery of new trends of marine species habitats in a changing global climate
EO big data analytics for the discovery of new trends of marine species habitats in a changing global climate Open
Climate change has been observed using multiple methods of Earth Observation (EO) including in situ, air-borne and space-borne sensing methods. These use multi-modal observation platforms, with various geospatial coverages, spatio-temporal…