I am a Reader in the Centre for Health Economics, conducting interdisciplinary research aimed at tackling healthcare challenges and improving decision-making and implementation in healthcare policy. My research is centred around using systems thinking and modelling approaches in health economics evaluation and draws on tools and methods from mathematical epidemiology, economics, management science, and computer science, among other fields.

My main body of work involves systems modelling and simulation, and it involves integrating disease and economic models for policy impact evaluation and prioritisation. I am interested in both infectious disease and non-communicable disease modelling. From a methodological standpoint, I am particularly interested in strengthening rigour in agent-based modelling and hybrid models, which integrate modelling methods when this simplifies analyses. I have applied my research to studying and conducting knowledge-exchange activities addressing global health challenges. This includes conducting healthcare intervention and policy evaluations, studying health systems strengthening in low- and middle-income countries, studying antimicrobial resistance policy globally and in the UK, evaluating COVID-19 policy and interventions, investigating how behaviour and social structure affect health and diseases, and exploring the role of incentives in healthcare policy design.

I hold a PhD in Management Science, specialising in modelling for healthcare policy, from the University of Strathclyde and an MA in economics and BA honours economics from McGill University, in Montreal.

To tackle the scientific challenges proposed by landscape dynamics and cooperation processes, I have developed a research methodology based on field work and companion modelling (ComMod) combined with the formalisation of the observed processes and agents based models.
This approach offers the possibility to understand : spatial, social, cultural and / or economic conditions that take place on territories, and to provide prospective scenarios.
These methods have been applied in various contexts: steep slope vineyards landscapes (2011), water resource management cooperation (2015), vegetation cover in dry climate (2017). The established research networks are still active through sustained collaborations and activities.

My technical expertise grew and evolved through investment in several workgroups: MAPS Team (Modelling Applied to Space Phenomena), OSGeo (president of the OSGeo’s French chapter between 2013 and 2016, member of the OSGeo-international chapter since 2015), various initiatives around modelling, exploration and sensibility analysis of spatial patterns behaviours, and more generally in Free Software communities.

Dr. Gravel-Miguel currently works as a Postdoctoral Research Scholar for the Institute of Human Origins at Arizona State University. She does research in Archaeology and focuses on the Upper Paleolithic of Southwest Europe. She currently works on projects ranging from cultural transmission to human-environment interactions in prehistory.

Tarik Hadzibeganovic is a complex systems researcher and cognitive scientist interested in all challenging topics of mathematical and computational modeling, in both basic and applied sciences. His particular focus has been on several open questions in evolutionary game theory, behavioral mathematical epidemiology, sociophysics, network theory, and episodic memory research. When addressing these questions, he combines mathematical, statistical, and agent-based modeling methods with laboratory behavioral experiments and Big Data analytics.

I have a special interest in food security, agriculture, climate change, and human - ecosystem interactions. My PhD research focused on developing site-specific strategies for enhancing food production by linking process-based models and empirical models with crop production drivers in Kenya. I am advancing the ideas from my doctorate research to exploring the potential of process-based models coupled with climate data and human decisions at agricultural landscapes for food systems analysis

Lu Ping is a dedicated researcher in interdisciplinary fields including artificial intelligence (AI), digital economy, technological innovation, and industrial economics. Currently serving as an Associate Research Fellow at the China Academy of Information and Communications Technology (CAICT), Lu Ping focuses on examining the impacts of digital technologies (e.g., AI, big data, and IoT) on economic growth, industrial ecosystems, policy formulation, and societal ethics through multidimensional data modeling and empirical research.
Representative Academic Contributions:
1. AI Development and Societal Implications
A Brief History of Artificial Intelligence Development in China (2017): Explored the technological evolution and policy-driven pathways of China’s AI industry.
Ethical Dilemmas Faced by AI Algorithms (2018): Analyzed ethical challenges such as algorithmic bias and data privacy, proposing governance frameworks.
A Brief History of the Evolution of Smart Hardware in China (2018): Systematically reviewed the technological iterations and market dynamics of China’s smart hardware sector.
2.Technological Innovation and Industrial Economics
An Empirical Analysis of Technological Innovation Driving Growth in Internet Companies: Evidence from A-Share Listed Internet Firms in Shanghai and Shenzhen (2019).
Research on Competitiveness Measurement of Frontier Emerging Industries Based on Data Envelopment Analysis (DEA) Models (2019).
3.Digital Economy and Market Behavior
Correlation Analysis of Crowdfunding Behavior and Funding Performance for Internet Products: A Bayesian Approach Based on JD.com Crowdfunding Data (2018): Uncovered nonlinear relationships between user participation and project success rates using crowdfunding platform data.
Analyzing the Effects of Developer and User Behavior on Mobile App Downloads (2019): Built predictive models for app market performance based on user behavior data.
4.Policy Simulation
General Equilibrium Analysis of Beijing’s Water Supply and Consumption Policies: A Computable General Equilibrium (CGE) Model-Based Approach (2015).
Impact Analysis of EU Food Safety Standards on China’s Food Industry: A Dynamic Global Trade Analysis Project (GTAP) Model-Based Study (2015).
Academic Contributions:
Pioneered interdisciplinary paradigms in industrial economics research by integrating perspectives from econometrics, data science, and sociology. Published high-impact research in AI ethics, digital economy policies, and resource-environmental economics, providing decision-making references for academia and policymakers.

Muhammad Mobeen is doing his PhD from the University of Hamburg, Hamburg, Germany. Previously. he has earned his M.Phil. in Geography from Department of Earth Sciences, University of Sargodha. He received M.Sc Geography (Distinction) & MS.Ed. from the University of the Punjab Lahore. He is an MA in Political Science and PGD in International Affairs as a Private candidate from Punjab University. He started his professional career in Aug-2007 as an Assistant Meteorologist (BS-16), Pakistan Meteorological Department, and then in Aug- 2008 he moved as a lecturer in Geography (BS-17) at Islamabad College for Boys G-6/3 Islamabad. He has been working as Lecturer in Geography (BS-18) at the Department of Earth Sciences, the University of Sargodha since 2010 and now he is on study leave for his PhD on the HEC cum the DAAD funding. His research interests are Climate Change, and water conflicts.

Science is most interesting when it subverts expectations. As a medic in the army, I used to think of the world in terms of strict hierarchies; some central governing agency gives orders, which trickle down the chain of command. However, it turns out that most biological systems do not work this way, instead distributing control among the members of the group (be they genes, cells, animals). I have since dedicated my research career to understanding how this works. Currently, I am a postdoctoral fellow at Arizona State University in the School of Complex Adaptive Systems, which is the same university where I received my PhD.