A5029718403- Complex Network Analysis Techniques
- Earth Systems and Cosmic Evolution
- Social Media and Politics
- Evolution and Genetic Dynamics
- Opinion Dynamics and Social Influence
- Climate Change Communication and Perception
- Space Science and Extraterrestrial Life
- Evolutionary Game Theory and Cooperation
- Human Mobility and Location-Based Analysis
- Advanced Text Analysis Techniques
- Public Relations and Crisis Communication
- Disaster Management and Resilience
- Ecosystem dynamics and resilience
- Data-Driven Disease Surveillance
- Topic Modeling
- Tropical and Extratropical Cyclones Research
- Misinformation and Its Impacts
- Online Learning and Analytics
- Microbial Community Ecology and Physiology
- Plant and animal studies
- Neural Networks and Applications
- Land Use and Ecosystem Services
- Bacteriophages and microbial interactions
- Scientific Research and Discoveries
- Conservation, Biodiversity, and Resource Management
University of Exeter
2016-2025
University of Nottingham
2024
Khalifa University of Science and Technology
2023
Turing Institute
2018-2022
British Library
2022
The Alan Turing Institute
2018-2021
University of East Anglia
2006-2010
University of Leeds
2005-2006
Action to tackle the complex and divisive issue of climate change will be strongly influenced by public perception. Online social media associated networks are an increasingly important forum for debate known influence individual attitudes behaviours – yet online discussions related not well understood. Here we construct several forms network users communicating about on popular microblogging platform Twitter. We classify user based message content find that characterised strong...
Abstract Policymakers, scholars, and practitioners have all called attention to the issue of misinformation in climate change debate. But what is misinformation, who involved, how does it spread, why matter, can be done about it? Climate closely linked skepticism, denial, contrarianism. A network actors are involved financing, producing, amplifying misinformation. Once public domain, characteristics online social networks, such as homophily, polarization, echo chambers—characteristics also...
Student engagement is an important factor for learning outcomes in higher education. Engagement with at campus-based education institutions difficult to quantify due the variety of forms that might take (e.g. lecture attendance, self-study, usage online/digital systems). Meanwhile, there are increasing concerns about student wellbeing within education, but relationship between and not well understood. Here we analyse results from a longitudinal survey undergraduate students university UK,...
"Social sensing" is a form of crowd-sourcing that involves systematic analysis digital communications to detect real-world events. Here we consider the use social sensing for observing natural hazards. In particular, present case study uses data from popular media platform (Twitter) and locate flood events in UK. order improve quality apply number filters (timezone, simple text naive Bayes `relevance' filter) data. We then place names user profile message infer location tweets. These two...
In this study, we analyse the relationship between engagement in a virtual learning environment (VLE) and module grades at 'bricks-and-mortar' university United Kingdom. We measure VLE activity for students enrolled 38 different credit-bearing modules, each of which are compulsory components six degree programmes. Overall find that high is associated with grades, but low does not necessarily imply grades. Analysis individual modules shows wide range relationships two quantities. Grouping...
Phage and their bacterial hosts are the most diverse abundant biological entities in oceans, where interactions have a major impact on marine ecology ecosystem function. The structure of interaction networks for natural phage-bacteria communities offers insight into coevolutionary origin. At small phylogenetic scales, observed typically show nested structure, which both phages can be ranked by range resistance infectivity, respectively. A qualitatively different multi-scale is seen at larger...
Studies of climate discourse on social media platforms often find evidence polarization, echo chambers, and misinformation. However, the literature's overwhelming reliance Twitter makes it difficult to understand whether these phenomena generalize across other platforms. Here we present first study examine change Reddit, a popular – yet understudied locus for debate. This contributes literature through expansion empirical base online communication about beyond Twitter. Additionally, platform...
Recent work with microbial communities has demonstrated an adaptive response to artificial selection at the level of ecosystem. The reasons for this and which adaptation occurs are unclear: does act implicitly on traits individual species, or higher-level genuinely being selected? If ecosystem is just additive combination responses constituent then could be predicted a priori , ecosystem-level process superfluous. However, if results from ecological interactions among higher necessary. Here...
Bacteriophage (viruses that infect bacteria) are of key importance in ecological processes at scales from biofilms to biogeochemical cycles. Close interaction can lead antagonistic coevolution phage and their hosts. Selection pressures imposed by often frequency-dependent, such rare phenotypes favoured; this occurs when infection depends on some form genetic matching. Also, resistance affects host fitness pleiotropy (whereby mutations conferring affect the function other traits) and/or...
The paper problematises the reliability and ethics of using social media data, such as sourced from Twitter or Instagram, to carry out health-related research. As in many other domains, opportunity mine for information has been hailed transformative research on well-being disease. Considerations around fairness, responsibilities accountabilities relating data have often set aside, understanding that long were anonymised, no real ethical scientific issue would arise. We first counter this...
Methods for detecting and tracking natural hazards continue to increase in coverage, resolution reliability. However, information on the social impacts of is often lacking. Here we test feasibility using media data (Twitter Instagram) detect map an important class hazard: wildfires. We analyse posts associated with wildfires over several time periods compare them wildfire occurrence derived from satellite-based remote sensing on-the-ground observations. For whole contiguous United States,...
Flooding is a major hazard that responsible for substantial damage and risks to human health worldwide. The 2018 flood event in Kerala, India, killed 433 people displaced more than 1 million from their homes. Accurate timely information can help mitigate the impacts of flooding through better preparedness (e.g. forecasting impacts) situational awareness effective civil response relief). However, good on difficult source; governmental records are often slow costly produce, while insurance...
Tackling large scale problems like climate change and the Sustainable Development Goals, requires taking a collective approach. Artificial Intelligence (AI) offers tremendous potential to enhance intelligence, both as an actor that contributes solution directly, tool mentor helps coordinate human intelligence. Collective invited experts practitioners highlight key challenges explain how they employ AI advance novel solutions — Christoph Riedl & David De Cremer.
Abstract Weather significantly impacts mood and happiness, yet observing this at scale differentiating across weather types is challenging. This study examines the variation in public sentiment related to different conditions, as reflected vocabulary used UK-based social media (Twitter) content. We introduce a novel context-sensitive metric construct scales that rank words emojis by both severity emotional intensity, controlling for linguistic variations naturally occur discussion topics....
The Earth possesses a number of regulatory feedback mechanisms involving life. In the absence population competing biospheres, it has proved hard to find robust evolutionary mechanism that would generate environmental regulation. It been suggested regulation must require altruistic alterations by organisms and, therefore, be evolutionarily unstable. This need not case if alter environment as selectively neutral by-product their metabolism, in majority biogeochemical reactions, but question...
Here we describe a new trait‐based model for cellular resource allocation that use to investigate the relative importance of different drivers small cell size in phytoplankton. Using model, show increased investment nonscalable structural components with decreasing leads trade‐off between size, nutrient and light affinity, growth rate. Within most extreme nutrient‐limited, stratified environments, competition theory then predicts trend toward larger minimum increasing depth. We demonstrate...
<ns4:p>Nestedness is a statistical measure used to interpret bipartite interaction data in several ecological and evolutionary contexts, e.g. biogeography (species-site relationships) species interactions (plant-pollinator host-parasite networks). Multiple methods have been evaluate nestedness, which differ how the metrics for nestedness are determined. Furthermore, different null models calculate significance of scores. The profusion measures models, many give conflicting results,...
The search for habitable exoplanets inspires the question - how do planets form? Planet habitability models traditionally focus on abiotic processes and neglect a biotic response to changing conditions an inhabited planet. Gaia hypothesis postulates that life influences Earth's feedback mechanisms form self-regulating system, hence can maintain its host If has strong influence, it will have role in determining planet's over time. We present ExoGaia model of simple 'planets' evolving...
Abstract Despite increasing use of impact‐based weather warnings, the social impacts extreme events lie beyond reach conventional meteorological observations and remain difficult to quantify. This presents a challenge for validation warnings impact models. study considers application sensing, systematic analysis unsolicited media data observe real‐world events, determine named storms in United Kingdom Ireland during winter storm season 2017–2018. User posts on Twitter are analysed show that...
Inter-personal affiliations and coalitions are an important part of politicians' behaviour, but often difficult to observe. Since increasing amount political communication now occurs online, data from online interactions may offer a new toolkit study ties between politicians; however, the methods by which robust insights can be derived require further development, especially around dynamics social networks. We develop novel method for tracking evolution community structures, referred as...