Data Science sessions and talks at RSS 2017 Conference

Written by Web News Editor on . Posted in News

Following the successful launch of the Royal Statistical Society's new Data Science Section, the Society is running a number of data science-themed sessions at our Conference in September.

We are delighted that Sage Publishing will be sponsoring the conference's Data Science sessions.

For more information on the RSS Conference programme, visit our Conference webpages.

Invited sessions include:

Data Science of Urban Movement

  • Organised by the Urban Big Data Centre, University of Glasgow

  • Speakers: Mark Livingstone, Kirstie English, Jinhyun Hong, David Mcarthur, Yeran Sun & Prachi Bhatnagar.

Synthetic data for research using administrative data

  • Speakers: Robin Mitra, Beata Nowok & Elaine Mackay.

Grand Challenges in Data-Centric Engineering

  • Organised by the Programme on Data-Centric Engineering at the Alan Turing Institute

  • Speakers: Mark Girolami, Ricardo Silva, Din-Houn Lau & Catalina Vallejos.

Recommender systems

  • Speakers include: Arnoldo Frigessi, James Grant.

Tools that Statisticians need to work as a Data Scientist

  • Organised by the RSS Data Science Section.

Data Science for Public Good

  • Organised by the ONS Data Science Campus

  • Speakers include Tom Smith, Peter Fullerton, Suzy Moat and Tobias Preis.

Contributed talks:

  • Natural Language Processing: Applications and Insights in the Public Sector

  • A soft Adjusted Rand Index for comparing probabilistic clusterings

  • Methods for compiling price indices from web scraped clothing data

  • Thoughts, Ruminations, and Twitter-ready soundbites on Data Science, Big Data, and Social Science Research

  • Extracting Meaningful Patterns from Big Binary Data using E-BiBit Algorithm in R

  • Exchange Rate Prediction from Twitter's Trending Topics

  • Network Influence: A New Measure on the Importance of Network Components

  • Predicting the Results of the 2016 US Presidential Election.

 

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