A5015718427- Climate variability and models
- Scientific Computing and Data Management
- Atmospheric and Environmental Gas Dynamics
- Geology and Paleoclimatology Research
- Complex Network Analysis Techniques
- Context-Aware Activity Recognition Systems
- Parkinson's Disease Mechanisms and Treatments
- Distributed and Parallel Computing Systems
- Advanced Text Analysis Techniques
- Ethics and Social Impacts of AI
- Social Media and Politics
- Video Analysis and Summarization
- Big Data and Business Intelligence
- QR Code Applications and Technologies
- Research Data Management Practices
- Digital Humanities and Scholarship
- Explainable Artificial Intelligence (XAI)
- Mobile Crowdsensing and Crowdsourcing
- Meteorological Phenomena and Simulations
- Semantic Web and Ontologies
- Simulation Techniques and Applications
- Web Data Mining and Analysis
- Data Quality and Management
- Digital and Traditional Archives Management
- Public Relations and Crisis Communication
University of Bristol
2010-2023
ARC Centre of Excellence for Climate System Science
2021
UNSW Sydney
2021
Bureau of Meteorology
2021
The University of Melbourne
2021
Cabot (United States)
2013-2019
Abstract. Understanding natural and anthropogenic climate change processes involves using computational models that represent the main components of Earth system: atmosphere, ocean, sea ice, land surface. These have become increasingly computationally expensive as resolution is increased more complex process representations are included. However, to gain robust insight into how may respond a given forcing, meaningfully quantify associated uncertainty, it often required use either or both...
Abstract. Past warm periods provide an opportunity to evaluate climate models under extreme forcing scenarios, in particular high ( > 800 ppmv) atmospheric CO2 concentrations. Although a post hoc intercomparison of Eocene ∼ 50 Ma) model simulations and geological data has been carried out previously, past high-CO2 have never evaluated consistent framework. Here, we present experimental design for three within the early latest Paleocene (the EECO, PETM, pre-PETM). Together with CMIP6...
Abstract Editor's Summary The prolific commentary disseminated via Twitter on the riots in London and other British cities August 2011 has given rise to question of whether their reflection such social media forums may have added unrest. Investigators analyzed 600,000 tweets retweets about for evidence that was used as a central organizational tool promote illegal group action. Results indicated irrelevant died out users retweeted show support beliefs others' commentaries. Tweets offered by...
Abstract. Understanding natural and anthropogenic climate change processes involves using computational models that represent the main components of Earth system: atmosphere, ocean, sea-ice land surface. These have become increasingly computationally expensive as resolution is increased more complex process representations are included. However, to gain robust insight into how may respond a given forcing, meaningfully quantify associated uncertainty, it often required use either or both...
Abstract. Past warm periods provide an opportunity to evaluate climate models under extreme forcing scenarios, in particular high (> 800 ppmv) atmospheric CO2 concentrations. Although a post-hoc intercomparison of Eocene (~50 million years ago, Ma) model simulations and geological data has been carried out previously, past high-CO2 have never evaluated consistent framework. Here, we present experimental design for three within the latest Paleocene early Eocene. Together these form first...
SPHERE is a large multidisciplinary project to research and develop sensor network facilitate home healthcare by activity monitoring, specifically towards activities of daily living. It aims use the latest technologies in low powered sensors, internet things, machine learning automated decision making provide benefits patients clinicians. This dataset comprises data collected from deployment during set experiments conducted 'SPHERE House' Bristol, UK, 2016, including video tracking,...
We present a case study that informs the creation of 'companion guide' providing transparency to potential non-expert users ubiquitous machine learning (ML) platform during initial onboarding. Ubiquitous platforms (e.g., smart home systems, including meters and conversational agents) are increasingly commonplace apply complex ML methods. Understanding how non-ML experts comprehend these is important in supporting participants making an informed choice about if they adopt platforms. To aid...
Abstract Parkinson’s disease (PD) is a neurodegenerative disorder characterised by motor symptoms such as gait dysfunction and postural instability. Technological tools to continuously monitor outcomes could capture the hour-by-hour symptom fluctuations of PD. Development hampered lack labelled datasets from home settings. To this end, we propose REMAP (REal-world Mobility Activities in disease), human rater-labelled dataset collected home-like setting. It includes people with without PD...
Explaining health technology platforms to non-technical members of the public is an important part process informed consent. Complex that deal with safety-critical areas are particularly challenging, often operating within private domains (e.g. services home) and used by individuals various understandings hardware, software, algorithmic design. Through two studies, first interview second observational study, we questioned how experts those who designed, built, installed a platform) supported...
We describe a pilot study which specifically examines the prevalence and characteristics of performance tags on several sites. Identifying post-coordination as useful step in this phenomenon, well other approaches to leveraging based text and/or sentiment analysis, we demonstrate an approach automation process, postcoordinating (segmenting) terms by means probabilistic model around Markov chains. The effectiveness parsing is evaluated with respect wide range constructions visible various...
The spread of the cover sheet is a divisive phenomenon.Their appearance geographically bound and their content situated in local political financial context.In this article we discuss arguments for against coversheet its guise as fixture on institutional repository preprints, exploring issue through statistical information gathered from survey material.We lay out reasoning behind use sheets United Kingdom prevalence underlying trends.
Abstract When simulating past warm climates, such as the early Cretaceous and Paleogene periods, general circulation models (GCMs) underestimate magnitude of warming in Arctic. Additionally, model intercomparisons show a large spread Arctic for these warmer-than-modern climates. Several mechanisms have been proposed to explain disagreements, including unrealistic representation polar clouds or underestimated poleward heat transport models. This study provides an intercomparison cloud...
This paper looks to explore the challenges faced when producing a set of annotations from videos produced by pilot study evaluating 24 participants (12 with Parkinson's disease, each accompanied healthy volunteer control participant) who are free-living in house embedded platform sensors. We discuss outcome measures chosen annotate and controlled vocabularies formulated for this task, tools processes, how we intend achieve standardisation normalisation annotations, improve quality...