Fellow Short Talks – Tomas Petricek, Maria Liakata & Gian Marco Campagnolo

Date: 1 December 2016

Time: 11:00am – 12:30pm

Watch the live stream here: bit.ly/TuringLive

Recordings will also be made available on our YouTube channel following the event. By attending the event you consent to audio and video recording and its/their publication.

Tomas Petricek (CAMBRIDGE)
Bio
Tomas is a Visiting Research Fellow at the Alan Turing institute, working on data-driven storytelling. He is building tools that easily integrate with modern data sources (open government data, data published by citizen initiatives) and let users easily create analyses and visualizations that are linked to the original data source, making the analyses more transparent, reproducible, but also easy to adapt. His early work on the project can be found at http://thegamma.net.
Tomas’ many other interests include open-source and functional programming (he is an active contributor to the F# ecosystem), programming language theory (his PhD thesis on “coeffects” develops a theory of context-aware programming language language), but also understanding programming through the perspective of philosophy of science.

Professor Maria Liakata (WARWICK)
Bio
Maria has a DPhil from the University of Oxford on learning pragmatic knowledge from text and her research interests include text mining, natural language processing (NLP), related social and biomedical applications, analysis of multi-modal and heterogeneous data (text from various sources such as social media, sensor data, images) and biological text mining. Her work has contributed to advances in knowledge discovery from corpora, automation of scientific experimentation and automatic extraction of information from the scientific literature. She has published widely both in NLP and interdisciplinary venues.
Maria is researching NLP for social science. She holds an IBM Faculty Award for studying “Emotion sensing using heterogeneous mobile phone data” and is a co-investigator on the EU Project PHEME, which studies the spread of rumours in social media. She is also a co-I on an IBM Faculty award for developing a course on Big Data ethics. Maria is leading a project funded by the Warwick Innovation Fund to diagnose and monitor dementia using text analysis. She has been recently appointed Faculty Fellow at the Alan Turing Institute where she plans to work on methods for combining heterogenenous textual and non-linguistic data for understanding mental health. Previously she held an Early Career Fellowship from the Leverhulme Trust (2010-2013) on reasoning with scientific articles.
Research
Text mining, natural language processing (NLP), biomedical text mining, sentiment analysis, NLP for social media, machine learning for NLP and biomedical applications, computational semantics, scientific discourse analysis View Dr Maria Liakata’s personal website at https://www2.warwick.ac.uk/fac/sci/dcs/people/maria_liakata/

Dr Gian Marco Campagnolo (EDINBURGH)
Bio
I am Lecturer in Science, Technology & Innovation Studies at the University of Edinburgh. My research highlights aspects of business knowledge as apparent in client-consultant relationships as well as vendor-user interaction or in special conditions such as IT symposia and software demonstrations. When business turned heavily to analytics, I became interested in data science applications with a view on how ‘big data’ is made visible and turned into action.
Research
In latest projects, my research addressed how empirical sociology can contribute to data-intensive research in understanding the evolution of careers in the IT sector. Taken up by the media and presented at The Alan Turing Institute inaugural workshop on Social Data Science, this research led to knowledge exchange with professional networking company LinkedIn.
View Dr Gian Marco Campagnolo’s personal website at http://www.sps.ed.ac.uk/staff/science_technology_and_innovation_studies/campagnolo_gian-marco