Mark Levene

Mark Levene is affiliated with Birkbeck, University of London, United Kingdom. Their research spans multiple disciplines, primarily focusing on computer science and social sciences. Within these areas, their work covers significant subfields including artificial intelligence, sociology and political science, statistical and nonlinear physics, political science and international relations, and economics and econometrics.

The scientist's research interests include several interconnected topics. These comprise misinformation and its impacts, topic modeling, complex network analysis techniques, opinion dynamics and social influence, data-driven disease surveillance, complex systems and time series analysis, and health and conflict studies.

Mark Levene has published in a variety of academic venues, reflecting a diverse research portfolio. These frequent publication venues include:

• arXiv (Cornell University)
• Journal of Genocide Research
• Journal of Medical Internet Research
• International Journal of Forecasting
• Journal of Biomedical Informatics

Their recent papers illustrate engagement with both applied and theoretical research questions. Selected recent publications are:

• "Monitoring COVID-19 on Social Media: Development of an End-to-End Natural Language Processing Pipeline Using a Novel Triage and Diagnosis Approach," 2022, Journal of Medical Internet Research
• "Learning structured medical information from social media," 2020, Journal of Biomedical Informatics
• "A stochastic differential equation approach to the analysis of the 2017 and 2019 UK general election polls," 2021, International Journal of Forecasting
• "The Climate Emergency: A Statement from Genocide Scholars on the Necessity for a Paradigm Shift," 2021, Journal of Genocide Research
• "A Skew Logistic Distribution for Modelling COVID-19 Waves and Its Evaluation Using the Empirical Survival Jensen-Shannon Divergence," 2022, Entropy

Collaboration is a notable element of Mark Levene's work, with frequent co-authors including David Weston, Trevor Fenner, Abul Hasan, Tameem Adel, and Renate Fromson. Several of these collaborators have worked repeatedly with them across various projects.

Their research shows integration of methodologies from artificial intelligence and statistical physics applied to real-world social and political phenomena. This includes analysis of opinion dynamics and social influence, examination of misinformation spread, and modeling of disease surveillance based on social media data.