Methods for Big Data in Official Statistics

Methods for Big Data in Official Statistics

Methods for Big Data in Official Statistics

AI and beyond

Abstract_G. Pipa_The AI and Beyond.pdf

 Gordon Pippa

Big Data Methodology

Abstract_P.J.H. Daas_Big Data Methodology.pdf Piet Daas

Session: Pattern recognition

Abstract_S. Olhede_Data Governance and Ethics of Algorithmic Decision-Making.pdf Sofia Olhede
Abstract_E. Postma_The AI Revolution.pdf Eric Postma

Abstract_N.H.J. Oostdijk_A knowledge-based approach to unstructured data.pdf

Paper_N.H.J. Oostdijk_A knowledge-based approach to unstructured data.pdf

 Nelleke Oostdijk

Session: Combining sources

Abstract_M. Dumontier_Analyzing partitioned health data responsibly.pdf

Paper_M. Dumontier_Analyzing Partitioned FAIR Health Data Responsibly.pdf

 Michel Dumontier
Abstract_M. Scannapieco_Use of machine learning for estimating enterprises characteristics from web data.pdf Monica Scannapieco
Abstract_C. Schiavoni_Real-time estimation of monthly unemployment with dynamic factor and state space models.pdf Caterina Schiavoni

Session: Visualisation

Abstract_T. Powell_Met Office Informatics Lab_Exploring Big Data.pdf Thomas Powell
Abstract_J. Aerts_The human at the center of data analysis.pdf Jan Aerts
Abstract_J.J. van Wijk_Challenges in Visual Analytics.pdf Jack van Wijk

Abstract_M. Tennekes_Aggregation of dots.pdf

Paper_M_Tennekes_Aggregation_of_dots.pdf

 Martijn Tennekes

Data Science Campus at ONS

Abstract_S. Hopkins_A NLP pipeline for turning unlabelled free-text lists into hierarchical datasets.pdf Steven Hopkins

Session: Big Data and Sports

Abstract_M.J.V. Ponsen_Data science in professional football data and its applications.pdf

 Marc Ponsen

 

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 event registration