Bright Minds: Neuropolitics and Interdisciplinary Data Challenges
This Collider will focus on the work of the Neuropolitics Research Lab (NRlabs) and explore how their complex data might usefully be combined and visualized; and to identify possible applications using their approach. A collider is a conceptual design event, bringing together computational thinking and design thinking, to pull informaticians together with designers, and problem holders. The first part of the Collider sets the scene before breaking out in to workshop sessions.
NRlabs seeks to get ‘under the hood’ of public attitudes, behaviours and decision-processes by drawing on techniques and methods from cognitive neuroscience, social psychology and informatics. Using fMRI brain scanning, behavioural games, physiological monitoring, eye-tracking, psychological measures and big data analysis, they explore the, often non-conscious, influences and processes that affect attitudes, behaviours and decisions. This Collider will focus on the work of the lab and explore how their complex data might usefully be combined and visualized; and to identify possible applications using their approach.
Traditionally public opinion is measured in a top-down manner, using large-scale cross-sectional surveys. By asking set questions, surveys inevitably shape the pattern of the responses given and are able only to capture ‘expressed’ responses to those questions. NRlabs focus instead on ‘observed’, ‘revealed’ or more spontaneous bottom-up measures and on how these relate in practice to the ‘expressed’ attitudes recorded in surveys. NRlabs are particularly interested in exploring how group identities and implicit identity triggers relate to public attitudes and behaviours; in how context, content and delivery format impact on our responses to audio-visual materials and on how cognitive framing takes place in the social media environment, specifically how and why certain sources of information are perceived as authoritative and trustworthy or worthy of sharing.
In this session we invite participants to consider some of the challenges and opportunities that this type of interdisciplinary research presents and we invite participants to help us: to identify potential additional metrics and approaches with which to address our research puzzles; to consider how our complex and diverse data sources might usefully be combined and visualized; and to identify possible downstream applications of our approach.
Laura Cram (Director of NRlabs) will set the challenge for the Collider before talks from our speakers: Robin Hill (looking at face emotion, eye-tracking and other physiological monitoring and data); Sujin Hong (will cover fMRI and neuroimaging techniques, methods and data) and Clare Llewellyn (on big data, Twitter and sentiment analysis).
13.30 Welcome from Jon Oberlander (Design Informatics)
13.35-14.30 Speakers and Challenge Setting
14.30-1600 Workshop session
All welcome, places are free but space is limited so please sign up in advance via Eventbrite (Note no refreshments will be provided so feel free to bring a packed lunch)