Category: Uncategorized

Data posts, SocialScience Data, Uncategorized

Transparency on the reporting of public procurement information: lessons from handling compiled procurement information

In this blog post, we will summarise the key challenges affecting the transparency of public procurement information in the UK, including data quality issues such as lack of unique identifiers, duplicated records, inconsistent dates, and missing data fields. We argue that improving data collection, quality, and availability in public procurement is important to support accountability, transparency and to inform policy reform. Finally, we will describe … Continue reading Transparency on the reporting of public procurement information: lessons from handling compiled procurement information

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Article, Data Science / Machine Learning, Uncategorized

Article review: The scales of human mobility.

In this blog post, I will summarise an article that proposes a new approach to model human mobility. This article was published in 2020 in the Journal Nature by Laura Alessandretti, Ulf Aslak and Sune Lehman (Alessandretti et al., 2020).   The authors started the article by explaining that human mobility is a key issue to understand other phenomena such as people’s commuting flows, money’s … Continue reading Article review: The scales of human mobility.

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Article, Data Science / Machine Learning, Uncategorized

Article review. Analyzing and Modeling Real-World Phenomena with Complex Networks: A Survey of Applications

This blog will review a survey of the applications of complex networks to real-world problems. In particular, six applications related to Social Networks, Economy and Security and Surveillance will be summarised. This article was published in the Journal Advances in Physics, in 2008 by Luciano da Fontoura Costa, Osvaldo N. Oliveira Jr., Gonzalo Travieso, Francisco Aparecido Rodrigues, Paulino Ribeiro Villas Boas, Lucas Antiqueira, Matheus Palhares … Continue reading Article review. Analyzing and Modeling Real-World Phenomena with Complex Networks: A Survey of Applications

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MSc Dissertations, Uncategorized

The robustness of ARIMA models with respect to parameter estimated and forecasted values

Aims, Objectives & Procedure followed My dissertation aimed in exploring how robust ARIMA (a time series forecasting technique) modelling is when time series data is non-stationary. What’s more, once robustness was explored an overarching framework was created as a supplementary aim.In particular this overarching framework consisted of a s set of rules on how to obtain accurate forecasts through ARIMA modelling when data exhibit certain … Continue reading The robustness of ARIMA models with respect to parameter estimated and forecasted values

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