The BigScience philosophy of building open AI
Tuesday 14 Jun 2022
Time: 16:00 - 17:00
Search
Research methods
The Northern Data Debates: Rage against the (technology) machine
Wednesday 22 Jun 2022
Time: 17:00 - 20:00
On the dangers of stochastic parrots
Thursday 08 Jul 2021
Time: 16:00 - 17:15
Methodological challenges in the translation of data and evidence into policy during COVID-19
Friday 21 May 2021
Time: 16:00 - 17:00
Methodological challenges and approaches in COVID-19 epidemiology
Friday 23 Apr 2021
Time: 16:00 - 17:00
Building a future for the urban analytics blueprint
Wednesday 16 Oct 2019 - Friday 18 Oct 2019
Time: 10:00 - 17:00
Measuring information exposure in dynamic and dependent networks
Monday 22 Jul 2019
Time: 10:00 - 16:00
Urban analytics at the interface between environment, human health and behaviour
Tuesday 02 Jul 2019 - Thursday 04 Jul 2019
Time: 09:00 - 18:00
Vocal interactivity in-and-between humans, animals and robots
Thursday 29 Aug 2019 - Friday 30 Aug 2019
Time: 09:00 - 17:00
Projects
The Turing Way Practitioners Hub
The Turing Way forum for cross-sector knowledge exchange on data science best practices
Environmental Data Science Book (EDS Book)
A computational notebook community for open environmental science
DEFIANT - Drivers and Effects of Fluctuations in sea Ice in the Antarctic
One of the most ambitious observational campaigns aimed at understanding Antarctic sea ice variability.
The impact of emerging technologies on the financial services industry
Investigating the impact of developments in AI, Web3, and Quantum technologies on the financial services industry.
The Turing Commons
Reflecting, discussing and taking responsibility for the design, development, and deployment of data-driven technologies
Ground truth for mental health data science
Linking digital footprint data in the UK birth cohorts to guide the next generation of algorithms for mental health and wellbeing research
Programmes
Publications and software
The AI Revolution: Opportunities and Challenges for the Finance Sector
This report examines Artificial Intelligence (AI) in the financial sector, outlining its potential to...
arXiv:2308.16538
Machines in the media: semantic change in the lexicon of mechanization in 19th-century British newspapers
The industrialisation process associated with the so-called Industrial Revolution in 19th - century Great...
Proceedings of the 2nd International Workshop on Natural Language Processing for Digital Humanities, pages 85–95, Taipei, Taiwan. Association for Computational Linguistics.
Diachronic word embeddings from 19th-century British newspapers
Diachronic word embeddings trained on a 4.2-billion-word corpus of 19th-century British newspapers, using Word2Vec...
Pedrazzini, Nilo & Barbara McGillivray. (2022). Diachronic word embeddings from 19th-century British newspapers [Data set]. Zenodo. https://doi.org/10.5281/zenodo.7181682
Towards a quantitative research framework for historical disciplines
McGillivray, B., Wilson, J. and Blanke, T. (2019). Towards a quantitative research framework for historical disciplines. In Proceedings of the Workshop on Computational Methods in the Humanities 2018, Lausanne, Switzerland, June 4-5, 2018
Mining the UK Web Archive for Semantic Change Detection
Semantic change detection (i.e., identifying words whose meaning has changed over time) started emerging...
Tsakalidis, A., Bazzi, M., Cucuringu, M., Basile, P., & McGillivray, B. Mining the UK Web Archive for Semantic Change Detection. Proceedings of INTERNATIONAL CONFERENCE RECENT ADVANCES IN NATURAL LANGUAGE PROCESSING, https://doi.org/10.17863/CAM.43534
Towards a quantitative research framework for historical disciplines
The ever-expanding wealth of digital material that researchers have at their disposal today, coupled...
McGillivray, B., Wilson, J. and Blanke, T. (2019). Towards a quantitative research framework for historical disciplines. In Proceedings of the Workshop on Computational Methods in the Humanities 2018, Lausanne, Switzerland, June
Quantitative Historical Linguistics.
A Corpus Framework
Jenset, G. B. and McGillivray, B. (2017). Quantitative Historical Linguistics. A Corpus Framework, Oxford: Oxford University Press.
Events
The Northern Data Debates: Rage against the (technology) machine
Wednesday 22 Jun 2022
Time: 17:00 - 20:00
The BigScience philosophy of building open AI
Tuesday 14 Jun 2022
Time: 16:00 - 17:00
On the dangers of stochastic parrots
Thursday 08 Jul 2021
Time: 16:00 - 17:15
Methodological challenges in the translation of data and evidence into policy during COVID-19
Friday 21 May 2021
Time: 16:00 - 17:00
Methodological challenges and approaches in COVID-19 epidemiology
Friday 23 Apr 2021
Time: 16:00 - 17:00
Building a future for the urban analytics blueprint
Wednesday 16 Oct 2019 - Friday 18 Oct 2019
Time: 10:00 - 17:00
Vocal interactivity in-and-between humans, animals and robots
Thursday 29 Aug 2019 - Friday 30 Aug 2019
Time: 09:00 - 17:00
Measuring information exposure in dynamic and dependent networks
Monday 22 Jul 2019
Time: 10:00 - 16:00
Urban analytics at the interface between environment, human health and behaviour
Tuesday 02 Jul 2019 - Thursday 04 Jul 2019
Time: 09:00 - 18:00
Impact stories
Interest groups
Bridging machine learning and behaviour models
How can we bridge data-driven and theory-driven behavioural models?
Omics data generation and analysis group
Developing rigorous and robust data science methods for curation, collection and computation of omic data sets
Economic data science
How can we use modern computational and statistical methods to analyse economic data?
People
Professor Jon Crowcroft
Researcher at Large
Trisevgeni Papakonstantinou
Enrichment Student
Skyler Xie
Enrichment Student
Malak Sadek
Enrichment Student
Jing Zhang
Enrichment Student
Emma Marlene Kallina
Enrichment Student
Cassidy Bereskin
Enrichment Student
Binur Orazumbekova
Enrichment Student