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Jose Apesteguia is an ICREA Research Professor at the Department of Economics and Business, Universitat Pompeu Fabra, Barcelona, Spain. His research focuses on behavioral economics, decision theory, experimental economics, and game theory, with particular emphasis on topics such as behavioral heterogeneity, rationality measures, stochastic choice models, and social preferences. Apesteguia has collaborated extensively with scholars like Miguel A. Ballester and Jörg Oechssler, producing influential work on topics ranging from imitation dynamics to the impact of language on moral decisions. His research integrates theoretical frameworks with experimental methods, exploring how individuals make decisions under uncertainty, time preferences, and social contexts. Key contributions include the development of measures of rationality and welfare, as well as analyses of behavioral adaptation and the role of information in competitive environments. His work frequently bridges economic theory with empirical validation, addressing real-world issues such as rule compliance in public institutions and team performance in organizations. Apesteguia’s publications span top journals including the American Economic Journal: Microeconomics , Journal of Economic Theory , and Econometrica . He teaches advanced courses on bounded rationality and behavioral decision theory at the undergraduate and graduate levels. His research has been applied to fields like finance (e.g., copy trading behavior) and public policy (e.g., promoting compliance in libraries).

• Behavioral Economics
• Decision Theory
• Game Theory
• +8 more

Dr. Florian Foos is an Associate Professor in Political Behaviour at the LSE's Department of Government, affiliated with the LSE Data Science Institute and Electoral Psychology Observatory. He holds a D.Phil from Nuffield College, Oxford. His research focuses on partisan election campaigns using randomized field experiments to study electoral mobilization, opinion change, and political activism. Key interests include social influence in political networks, media effects, and campaign strategies. He has published in top journals like the American Political Science Review and American Journal of Political Science. Current projects include the Register to Vote '21 initiative testing voter registration methods. He teaches experimental methods and political behavior, and co-organizes the European Workshop in Empirical Political Science (EuroWEPS). Research highlights include analyzing tabloid media's impact on Euroscepticism, the role of partisan cues in mobilization, and subnational representation effects. His work combines experimental designs with quasi-experimental methods, emphasizing causal inference. Collaborations span institutions like King's College London and German parliamentarians. He advises on policy experiments and serves on academic advisory boards.

• Political Behaviour
• Randomized Field Experiments
• Election Campaigns
• +7 more

Stephen Marshall is Professor of Urban Morphology and Urban Design at The Bartlett School of Planning, University College London. He also served as Visiting Professor at the Department of Architecture and Urban Studies, Politecnico di Milano, Italy from 2019 to 2021. With over twenty-five years of experience in the built environment fields, initially in consultancy and subsequently in academia, Professor Marshall has established himself as a leading expert in urban morphology and design. His educational background includes a Doctor of Philosophy from University College London (2001), a Postgraduate Diploma from Edinburgh College of Art (1995), a Master of Science from the University of Leeds (1989), and a Bachelor of Engineering from the University of Glasgow (1988). Professor Marshall's principal research focuses on urban morphology and street layout, examining their relationships with urban formative processes including urban design, coding and planning. His work bridges urban design theory with practical applications, exploring how cities evolve through complex interactions of physical form, social processes, and planning interventions. He has written or edited several influential books including 'Streets and Patterns' (2005), 'Cities, Design and Evolution' (2009), and 'Urban Coding and Planning' (2011). His recent publications reveal a growing interest in applying complexity science to urban morphology, with particular attention to biological analogies for understanding self-organizing cities. He has pioneered research on digital participation methods in urban planning, exploring how online platforms can enhance public engagement in urban space design. His work consistently bridges theoretical urban morphology with practical applications for contemporary urban challenges like pandemic adaptation and sustainable transport. Professor Marshall has served as Chair of the Editorial Board of Urban Design and Planning from its launch to 2012, and is now co-editor of Built Environment journal. His editorial work has significantly shaped scholarly discourse in urban planning and design. He leads several significant research initiatives including the Incubators of Public Spaces project, which explores digital platforms for co-creating urban spaces, and the Self-Organising Built Environment project, which investigates biological analogies in urbanism. These projects reflect his interdisciplinary approach to understanding and shaping urban environments, connecting with Sustainable Development Goal 11 (Sustainable Cities and Communities).

• Urban morphology
• Urban design
• Street layout and network structure
• +5 more

Dr. Mylene Lagarde is an Associate Professor of Health Economics and Deputy Head of Department (Research) at the London School of Economics and Political Science (LSE), Department of Health Policy. Her research focuses on applied economic analysis of healthcare decisions in low- and middle-income countries (LMICs), particularly provider behavior, healthcare demand, and health policy evaluation. She has conducted studies on topics such as health worker incentives, user fee removal policies, and the impact of performance-based financing. She holds affiliations with J-PAL and the University of Witwatersrand, South Africa. Her work combines quantitative methods, randomized experiments, and policy analysis to inform global health interventions. Educated in France and with field experience in Cameroon, Lagarde’s academic career includes roles at the London School of Hygiene and Tropical Medicine before joining LSE in 2016. She teaches advanced health economics courses, including MPhil/PhD programs in Health Economics and Policy, and modules on randomized evaluations of health programs. Her research has explored provider behavior in Senegal, Zambia, South Africa, and other LMICs, addressing challenges like antibiotic overprescription, healthcare quality under workload pressures, and equitable access to services. Key areas of focus include the role of pro-social preferences in healthcare workforce distribution, the effectiveness of group incentives for preventive care, and the framing effects of health policies. She has contributed to understanding how financial and non-financial incentives shape healthcare provider performance and patient choices, with implications for improving health system efficiency and equity globally.

• Health Economics
• Global Health
• Healthcare Policy
• +3 more

Ranjeeta Thomas is an Associate Professor of Health Economics at the Department of Health Policy, London School of Economics (LSE). She is Programme Director for the MSc in International Health Policy (Health Economics) and affiliates with LSE Health, the Behavioural Lab, and the Aging and Health Incentives Lab. Prior roles include Research Fellowships at Imperial College London and the University of Oxford. She holds a PhD in Economics from the University of York. Education: PhD in Economics (University of York) Affiliations: LSE Health, Behavioural Lab, Aging and Health Incentives Lab Grants/Awards: Co-investigator on grants from the National Institute of Mental Health (USA) and European & Developing Countries Clinical Trials Partnership. Her research focuses on applied health economics, including drivers of risky health behaviors, incentives for preventative healthcare, and long-term impacts of childhood interventions. She employs randomized field experiments and large-scale data analysis in low-resource settings. Recent work addresses HIV/AIDS prevention strategies, stigma reduction, and cost-effectiveness of health interventions in Sub-Saharan Africa. Labs/Teams: Active in interdisciplinary teams at LSE and collaborating institutions, focusing on global health challenges and behavioral interventions.

• Health Economics
• Behavioral Economics
• Global Health
• +4 more

Barak Ariel is a Professor of Experimental Criminology at the Institute of Criminology, University of Cambridge. He holds a PhD in Criminology from Hebrew University of Jerusalem, an LLM (Hebrew University), LLB (Academic Centre of Law & Business), MA in Criminology (Hebrew University), and BA in Psychology (University of New York). Since 2008, he has been affiliated with the Jerry Lee Centre of Experimental Criminology and teaches on the MSt in Applied Criminology and Police Management. Academic Rank: Professor of Experimental Criminology Key Affiliations: University of Cambridge, Jerry Lee Centre of Experimental Criminology Education: PhD, LLM, MA, LLB, BA Dr. Ariel specializes in experimental criminology, evidence-based policing, and the role of technology in crime prevention. His research focuses on evaluating policing strategies through randomized controlled trials (RCTs), particularly in areas such as body-worn cameras, domestic abuse hotspots, and interventions to reduce violence against women. He has advised police departments and governments across the UK, USA, Latin America, and Europe. His recent publications highlight trends in global crime dynamics, the impact of police interventions on offender behavior, and the use of machine learning for crime forecasting. These works span subfields including hot spots policing, procedural justice, victim-offender overlaps, and network analysis of organized crime. Scientific Awards : Academy of Experimental Criminology Young Experimental Scholar Award European Society of Criminology Young Criminologist Award Fellow of the Division of Experimental Criminology As Chair of the Division of Experimental Criminology (2019–2021), Dr. Ariel has contributed to advancing methodological rigor in criminological research. He has conducted extensive evaluations of police-led interventions, including trials on body-worn cameras, victim communication strategies, and data-driven approaches to domestic homicide prevention. His work bridges academic research with practical policing reforms, emphasizing the importance of empirical evidence in criminal justice policy.

• Experimental Criminology
• Evidence-Based Policing
• Technology in Policing
• +3 more

Dr. Elia Gironacci is a Lecturer and Director of Studies in Civil and Environmental Engineering at the University of Warwick's School of Engineering. He holds a PhD in Computational Mechanics (Warwick, 2018), MSc (2013) and BSc (2010) from the University of Marche, Italy. His research focuses on computational fracture mechanics of quasi-brittle materials and engineering education for apprenticeship programs. Teaching responsibilities include leading modules like ES196 Statics and Structures and ES1A4 for apprentices. He manages the Civil Infrastructure Engineering Degree Apprenticeship program and chairs the University Apprenticeship Tutor Network. His work integrates advanced numerical methods with educational innovation, particularly in STEM induction programs and apprenticeship learning experiences. Key research contributions include stochastic modeling of crack propagation, non-local probabilistic methods, and shale rock fracture mechanics. His work bridges computational mechanics with practical engineering applications, emphasizing dimensionality reduction techniques and material heterogeneity. He actively participates in institutional committees (Education, Health & Safety) and has published in journals like Rock Mechanics and Rock Engineering and International Journal of Mechanical Sciences. His book chapter on STEM induction frameworks highlights his dual focus on research and pedagogy.

• Computational Modelling of Crack Propagation
• Thermo-Fracture Mechanics
• Engineering Education
• +3 more

Nada Eissa is Associate Professor of Public Policy and Economics at Georgetown University and a Research Associate at the National Bureau of Economic Research (NBER). She is a Responsive Policy Advisor for the International Growth Centre (IGC), where she leads research on tax policy, fiscal decentralization, and labor markets in developing countries. She has held prior academic positions at the University of California, Berkeley, and served in the U.S. Department of the Treasury as Deputy Assistant Secretary for Economic Policy. Her research focuses on the intersection of tax policy, labor markets, and public finance, particularly in fragile and developing states. She examines how tax and transfer systems influence individual behavior, including work and family decisions, and how these insights can guide more effective program design. Her work spans sub-Saharan Africa, including Rwanda, Uganda, South Sudan, and Ghana, addressing issues such as VAT compliance, electronic billing machines, presumptive taxation, and civil service reform. Her recent publications reveal a strong emphasis on empirical evaluation of fiscal policies, with a trend toward randomized field experiments, policy briefs, and real-world impact assessments. She frequently collaborates with governments and international institutions to evaluate tax administration reforms and improve revenue mobilization. National Tax Association’s Outstanding Doctoral Dissertation in Government Finance and Taxation (1995) Member of the National Academy of Social Insurance Nada Eissa has supervised and co-led numerous research projects, often involving policy evaluation and technical advising. She has collaborated with institutions such as the Rwanda Revenue Authority and the Ministry of Finance in Uganda. Her work has been supported by grants and institutional funding through IGC and NBER. She has contributed to capacity-building initiatives in post-conflict states, focusing on labor markets and state institution development. She is involved in multiple research teams and labs associated with the IGC and Georgetown University, particularly those focused on development policy, tax administration, and state capability building. Her projects often involve interdisciplinary teams and field-based data collection, including mystery shopper studies and firm-level audits.

• Public Economics
• Tax Policy
• Labor Economics
• +7 more

Anna-Lena Sachs is a Senior Lecturer in Predictive Analytics at Lancaster University's Management Science department. Her research bridges inventory management, behavioural operations, and forecasting, with applications in retail, healthcare, automotive, and logistics sectors. She develops quantitative models and leverages industry datasets to solve practical supply chain challenges. Research Interests : Inventory management for spare parts, data-driven decision support systems, multi-echelon optimization, markdown pricing strategies, and human decision behavior in operational contexts. She emphasizes translating academic insights into industry practice through field experiments and lab studies. Scientific Recognition : Dean’s Award for Academic Excellence Fellow of the Higher Education Academy (ATLAS) Research Impact Award for Centre for Marketing Analytics and Forecasting PhD Supervision : Actively mentors students in Operations Research, Management Science, and supply chain analytics. Current PhD candidates include Ritika Arora, Benjamin Lowery, Adam Page, Carlos Rodriguez Calderon, and Joe Rutherford. Collaborative Networks : Affiliated with Lancaster’s STOR-i Centre for Doctoral Training, Centre for Marketing Analytics & Forecasting, and Data Science Institute. She has led projects with Royal Mail, Jaguar Land Rover, and GlaxoSmithKline.

• Inventory Management
• Behavioural Operations Management
• Forecasting
• +3 more

Mark Steel is a Professor of Statistics at the University of Warwick, Department of Statistics. He previously held Chairs in Economics at the University of Edinburgh (1998-2000) and in Statistics at the University of Kent (2000-2003). His research focuses on Bayesian statistics, including theoretical and applied work in distribution theory, Bayesian model averaging, spatial statistics, survival analysis, and stochastic volatility models. He has extensive editorial experience, serving as Editor-in-Chief of Bayesian Analysis (2022-2025) and as Head of the Statistics Department at Warwick (2014-2018). He is currently Chair-Elect of the Objective Bayes section of the International Society for Bayesian Analysis (ISBA). His research interests span Bayesian methodology, econometrics, and statistical theory, with applications to economics, survival analysis, and spatial data. He is affiliated with the Centre for Research in Statistical Methodology at Warwick and actively contributes to academic conferences. His work has been recognized through highly cited publications, including influential papers on Bayesian model averaging and non-Gaussian statistical models. Professional activities include editorial roles in top journals such as the Journal of Econometrics , Journal of the Royal Statistical Society , and Journal of Productivity Analysis . He collaborates with researchers globally and maintains an active profile on academic platforms like Google Scholar and ResearchGate.

• Bayesian Statistics
• Econometrics
• Statistical Theory
• +4 more

Professor Fabio Cuzzolin is a Professor of Artificial Intelligence at Oxford Brookes University, leading the Visual Artificial Intelligence Laboratory (VAIL). He holds roles in the Institute of Ethical AI and the Healthy Ageing and Care (HAC) network. His research focuses on uncertainty theory, belief functions, and their applications in AI, surgical robotics, healthcare, and autonomous driving. He has secured over £5.4M in external funding, including the H2020 Epistemic AI project. Education and Academic Background: While specific formal education details are not explicitly stated in the text, Professor Cuzzolin holds a PhD and has held academic positions across institutions in Italy, the US, and the UK. His teaching experience spans three countries, including roles as a Module Leader for undergraduate and postgraduate courses in Computer Vision, Machine Learning, and related fields. Research Interests: Professor Cuzzolin is a global leader in uncertainty theory, belief functions, and geometric approaches to probability. His work bridges AI with healthcare, robotics, and autonomous systems. Recent projects include the SARAS surgical robotics project, Epistemic AI, and continual learning frameworks. His lab, VAIL, is a leading group in action detection and neurosymbolic AI. Awards and Recognition: Awards include the IMechE Formula Student AI competitions (2021, 2020), W&B Best Library Award (2021), and the Next 10 Award (2012). His students and collaborators have also achieved notable recognitions, such as BMVC Best Reviewer Awards and dataset development accolades. Grants and Funding: Key funded projects include the H2020 Epistemic AI (£966k), SARAS (£4.3M), and the AIDA incubator (£1.25M). Current lab funding exceeds £3.2M, supporting nine active projects across Horizon 2020, Innovate UK, and industry partnerships. Labs and Collaborations: VAIL collaborates with top institutions (Oxford, Cambridge, Imperial College) and companies (Samsung, Huawei). Projects span autonomous driving datasets (ROAD), surgical AI, and continual learning libraries (Avalanche).

• Artificial Intelligence
• Uncertainty Theory
• Belief Functions
• +7 more

Paolo Spada is a Lecturer in the Department of Politics and International Relations at the University of Southampton. He holds a PhD in Economics from Bologna University (2006) and a PhD in Political Science from Yale University (2012). His research focuses on governance and social innovations, particularly democratic innovations in public administration, parties, and organizations. He employs comparative methodologies, including large surveys, field experiments, and mixed-methods analysis. Current projects include the Horizon2020 PHOENIX initiative evaluating democratic innovations for the European Green Deal, alongside studies on digital participation platforms and randomized controlled trials. Spada teaches modules on comparative methods, democratic innovations, collective intelligence, research design, and randomized controlled trials at both undergraduate and postgraduate levels. His academic career includes fellowships at Harvard Kennedy School (2011-2013) and the University of British Columbia (2013-2015). He has contributed to projects like the Citizens’ Assemblies (2015-2016) and the Empatia and Scholio initiatives in Portugal and the UK. His external roles include reviewing for Horizon 2020 and speaking on collective intelligence at institutions like UM6P. Spada’s research spans global case studies in Brazil, the U.S., Cameroon, Iceland, Canada, Italy, Portugal, Germany, and the Czech Republic. His work emphasizes the diffusion and impact of participatory governance tools, blending empirical rigor with practical applications in policy design.

• Democratic Innovations
• Governance
• Public Administration
• +3 more

Dr. Zhi (Aaron) Cheng is an Assistant Professor of Information Systems and Innovation in the Department of Management at the London School of Economics (LSE). His research focuses on the economics of digitization and AI, analyzing how digital innovation redistributes resources like time, labor, and capital. He holds a PhD from Temple University and an MiM from Renmin University of China, with prior experience at IBM. Research interests include AI ethics, platform strategy, healthcare IS, and future of work. His work combines causal inference methods with observational studies to explore societal impacts of technology. Notable publications appear in Management Science, Information Systems Research, and Journal of Management Information Systems. Teaching: Courses include Managing AI (MG4J8), Research Design (MY401), and Social Computing (MG486) Awards: Best Reviewer (ICIS 2019), AIS Distinguished Member (2024), Multiple LSE Teaching Awards Service: Editorial boards of ISR and JAIS, Co-Chair of LSE's EDI Committee External roles: External Examiner for Oxford's AI for Business program His research demonstrates significant societal impact - e.g., analyzing Pokémon Go's mental health effects and gig economy labor dynamics. Ongoing projects explore privacy regulation's impact on consumer behavior and government-led e-commerce initiatives.

• Artificial Intelligence
• Digital Business Strategy
• Economics of Digitization
• +6 more

Professor Stan Siebert is a distinguished academic in the Department of Management at the Birmingham Business School, University of Birmingham, where he has been a faculty member since 1980. He holds the position of Professor of Labour Economics and is actively engaged in research and teaching in personnel economics and industrial relations. PhD, London School of Economics Stan Siebert's research centers on labour economics, with a strong focus on wage issues, industrial relations, European labour market regulation, and vocational training. His work investigates critical topics such as the gender wage gap, minimum wages, wage inequalities, and the impact of labour policies on employment. He has conducted research on unskilled workers in OECD countries and has explored education feedback mechanisms in rural China. His recent publications span top-tier journals such as Management Science , Industrial & Labor Relations Review , and Oxford Economic Papers , covering themes like intergenerational income mobility, temporary employment regulation in Greece, and the consequences of piece-rate pay. His research often combines theoretical insights with empirical analysis using large-scale datasets. Evidence on intergenerational income transmission using complete Dutch population data Management Economics in a Large Retail Company The impact of Greek labour market regulation on temporary employment Work-life balance: promises made and promises kept The Consequences of a Piece Rate on Quantity and Quality: Evidence from a Field Experiment Professor Siebert is a member of IZA (Institute for the Study of Labour, Bonn), where his recent working papers are available. He teaches Personnel Economics at the undergraduate level and has co-authored influential texts including The Market for Labor: An Analytical Treatment and The Economics of Earnings . He has also edited Labour Markets in Europe: Issues of Harmonisation and Regulation . While no specific grants or scientific awards are listed, his sustained publication record and long-standing academic position reflect significant scholarly impact. He is involved in research projects examining the cost-effectiveness of education feedback in rural China and the employment effects of minimum wages and employment protection laws in OECD countries. His work bridges economic theory, policy analysis, and empirical research, contributing to both academic discourse and real-world labour market understanding.

• Labour Economics
• Industrial Relations
• Wage Inequality
• +7 more

Dr. Fiona Hamilton is a Clinical Associate Professor at University College London's Primary Care & Population Health department, where she has been employed since March 2013. She holds a dual background in Public Health Medicine and General Practice, bringing clinical experience to her academic work. Hamilton works three days per week at UCL while maintaining additional professional commitments in public health and clinical practice. Associate Professor at UCL Primary Care & Population Health (2013-present) Public Health Consultant at Salford City Council (2022-present) Occasional volunteer locum GP at Hedena Health in Oxford NIHR Academic Clinical Lecturer followed by HEFCE-funded Clinical Lecturer at PCPH Promoted to Associate Professor in 2020 Hamilton's research centers on the evaluation of digital health interventions, with particular emphasis on health inequalities and the digital divide. Her PhD examined pay-for-performance schemes in primary care, including the Quality & Outcomes Framework (QOF), and their impact on prevention activities such as smoking cessation advice and alcohol screening. She has led significant work on the 'Living With Covid Recovery' intervention, a clinician-guided eHealth program for people with long Covid, where she headed the health inequalities work package within a large NIHR-funded multi-center study. Her publication record demonstrates consistent focus on digital health implementation across diverse populations, with recent work examining health inequalities in digital interventions for long COVID, menopause management, physical activity, and diabetes self-management. Hamilton's research consistently addresses how digital health tools can be designed and implemented to avoid exacerbating existing health disparities, particularly among vulnerable and marginalized populations. As an educator, Hamilton serves as module lead for Social Determinants of Health across all years of the MBBS curriculum and co-leads the Health Systems, Organisation, Economics and Policy module for UCL's online MPH program. She actively supervises PhD and Masters students in the field of digital health and health inequalities, contributing to the next generation of researchers in this critical area. Module lead for Social Determinants of Health (MBBS curriculum) Co-lead for Health Systems module (UCL online MPH) Supervisor for PhD and Masters students Teaching in digital health, primary care, and health inequalities Hamilton maintains an active dual career path, balancing her academic work at UCL with practical public health experience at Salford City Council and occasional clinical practice as a locum GP. This unique positioning allows her to bridge theoretical research with real-world implementation challenges in healthcare delivery, particularly regarding the integration of digital tools into everyday clinical practice while addressing equity concerns.

• Digital Health Interventions
• Health Inequalities
• Digital Divide
• +6 more