Raymond Duch is an Official Fellow at Nuffield College, University of Oxford, and the Director of the Nuffield Centre for Experimental Social Sciences (CESS), which currently has centres in Oxford, Santiago (Chile) and Pune (India). Prior to assuming these positions he was the Senator Don Henderson Scholar in Political Science at the University of Houston. He is currently the Long Term Visiting Professor at the Institute for Advanced Studies, Toulouse School of Economics, a Director of the European Political Science Association, and Vice-President of the Midwest Political Science Association. He is a member of the UK Cabinet Office Cross-Whitehall Trial Advice Panel to offer Whitehall departments technical support in designing and implementing controlled experiments to assess policy effectiveness.

Professor Duch’s research focuses on responsibility attribution, incorporating elements of theory, experiments and analysis of public opinion. In 2008 he published an award-winning book, The Economic Vote, that demonstrates that citizens hold political parties accountable for economic outcomes. His experiments have identified the information shortcuts that individuals deploy for responsibility attribution. More recently, Professor Duch has conducted experimental research into cheating, exploring its implications for tax compliance, corruption and economic performance. Professor Duch has conducted lab, field and online experiments throughout the world He lectures and also publishes on experimental methods. His research appears in the leading political science and economic journals. He is the founder of Behavioural Analytics that advises public and private clients.

Sonja is an associate professor in the Faculty of Business and Economics at the University of Lausanne. She uses lab and field experiments to examine the social and psychological mechanisms practitioners can use to tackle societal and environmental challenges related to public health, education, climate change, and land degradation. Much of her research is in collaboration with UN agencies and local NGOs in Sudan, Malawi, Kenya, Uganda, Tanzania, India, and Armenia.

Sonja is affiliated with Nuffield College and the Centre for Experimental Social Sciences at the University of Oxford, as well as the Centre for Development and Environment at the University of Bern.

Thomas Robinson is an Assistant Professor in the Department of Methodology. He received his PhD in Politics from the University of Oxford in 2020. Before joining LSE, he was an Assistant Professor in the Centre for Institutions and Political Behavior at Durham University.

Thomas’ research uses tools from machine learning and causal inference to study questions related to money in politics, voter behaviour, and policy preferences. His ongoing projects include studying how voters respond to campaign finance information and how citizens’ beliefs and behaviours are being shaped by the COVID-19 pandemic.

Thomas’ methodological research is mainly centred on machine learning, causal inference, and experiments. He is particularly interested in neural network modelling, and his current projects include work on synthetic data, active learning, and missing data. As part of this research, Thomas has ongoing collaborations in both the education policy sector and tech industry.

Mario Callegaro is user experience survey researcher at Google UK, London, in the Cloud Platform User Experience team (CPUX). He works on any survey related projects within his organization. He also consults with numerous other internal teams regarding survey design, sampling, questionnaire design and online survey programming and implementation.

Mario holds a M.S. and a Ph.D. in Survey Research and Methodology from the University of Nebraska, Lincoln. Prior to joining Google, Mario was working as survey research scientist for now Ipsos KnowledgePanel previously known as Knowledge Networks KnowledgePanel. Current research areas: user experience research, web survey design, smartphone surveys, survey paradata, and questionnaire design in which he has published numerous papers, book chapters and conference presentations. He published (May 2014) an edited Wiley book titled Online Panel Research: A Data Quality Perspective together with Reginald P. Baker, Jelke Bethlehem, Anja S. Göritz, Jon A. Krosnick and Paul J.. Lavrakas. Mario also completed a book titled: “Web survey methodology” with Katja Lozar-Manfreda and Vasja Vehovar from the University of Ljubljana, Slovenia, published by Sage in June 2015 which is also available as open access PDF and Epub at this Sage URL: https://study.sagepub.com/web-survey-methodology.

Solomon Messing is a Research Associate Professor at New York University, with the Center for Social Media and Politics. Prior to joining NYU, Messing founded data science research teams at Pew Research Center, Acronym, and Twitter. He has industry experience working on recommender systems, complex experimentation, feature engineering/discovery, algorithm audits, and differential privacy.

Messing received his PhD in Communication from Stanford University in 2013, earning a Masters of Science in Statistics. He serves on the advisory board of Journal of Quantitative Description, served as Assistant Editor of Political Communication, and founded the Journal of International Policy Solutions.

Musashi Jacobs-Harukawa is a Postdoctoral Research Associate with DDSS, where he works on applied machine learning and computational social science methodology. His specific interests are in text, measurement, and explanation. Prior to joining DDSS, Musashi was a pre-doctoral researcher at University College London, where he worked with Dr Lucy Barnes on the Mental Models of the Political Economy project.

Musashi received his DPhil in Politics from the University of Oxford, supervised by Dr Andy Eggers and Dr Ray Duch, where he wrote his thesis on novel applications of machine learning to the study of political campaigns. He also wrote and taught the Introduction to Python course for graduate students in the social sciences, and taught seminars in political science methodology and high-performance computing.

Prior to his graduate studies, Musashi worked in Tokyo as a data scientist in finance, and as an English teacher in Moscow.

Paul Röttger is a postdoctoral researcher in Dirk Hovy‘s MilaNLP Lab at Bocconi University. His work is located at the intersection of computation, language and society. Right now, he is particularly interested in evaluating and aligning social values in large language models.

In May 2023, he completed his PhD at the University of Oxford, where he was supervised by Janet Pierrehumbert and Helen Margetts. In his PhD, he worked on improving the evaluation and effectiveness of natural language processing models for hate speech detection. He also worked on general language modelling challenges like language change and annotator subjectivity. The HateCheck project that he led won the Stanford AI Audit Challenge.

During his PhD, he also co-founded Rewire, a start-up building socially responsible AI for online safety. Over two years as CTO, he grew a technical team of 10+ people, working on large projects for Google, Meta and others. In March 2023, Rewire was acquired by ActiveFence.

Ed is a Principal Advisor in our Home Affairs and Security team. His role involves managing research projects with central government departments and other partners. Since joining BIT in 2016 he has held a number of roles including working as Policy Advisory to BIT’s CEO, David Halpern along with a secondment to the Cabinet Office’s Economic and Domestic Affairs Secretariat and as a researcher in BIT’s Health team.

Before joining BIT, Ed worked as a macroeconomic analyst at a financial research firm and in the consumer goods industry. Ed holds an MSc in Behavioural and Economic Science from the University of Warwick and a BA in Philosophy, Politics, Economics and Sociology from Trinity College Dublin.

Christopher is an Assistant Professor in the Department of Political Science and a faculty affiliate with the Division of Computational & Data Sciences at Washington University in St. Louis. He studies methodology, political communication, and the media. His research is published or forthcoming in the American Political Science Review, the American Journal of Political Science, and the Journal of Politics, among other venues, and has received the Gosnell Prize for Excellence in Political Methodology twice. Ongoing work is supported by multiple grants from the National Science Foundation.

Justin is a pioneer of the use of AI within quantitative research. He’s a seasoned campaigner and product specialist who has worked with clients from ABinBev to HM Cabinet Office and everywhere in between. He holds an MPA from LSE and Columbia, where he focused on Bayesian statistics and machine learning.

Apostolos Filippas is an economist working on market design and the economics of technology, primarily in the context of online platforms. He is currently an assistant professor at Fordham’s Gabelli School of Business, and a research affiliate at the MIT Initiative on the Digital Economy (IDE).

His recent research examines topics including the design of reputation and pricing systems in online marketplaces, the economic and public policy implications of the “sharing economy,” and the design of social media platforms. His work has appeared in academic and popular press venues, including Management Science, the ACM conference on Economics and Computation, the Federal Reserve Bank of San Francisco, the Washington Post, the LA Times, the Financial Times, and NPR.

He earned his Ph.D. degree in Business Administration from NYU Stern School of Business, and his undergraduate degree in Computer Science (summa cum laude) from the University of Patras.

Christopher work is concerned with understanding how humans learn and make decisions. He studies learning in adults using computer-based tasks. He is interested in how humans acquire new concepts or patterns in data, and how they use this information to make decisions in novel settings.  He simulates learning processes using computational models, including deep neural nettworks, that are tasked with similar challenges. He studies the brains of humans during learning and decision-making using noninvasive methods such as fMRI and EEG.

Nandan holds a Bachelors of Fine Arts from Tisch School of the Arts of New York University. As a cinematographer, his work has been shown and won awards at Rotterdam International Film Festival, Locarno International Film Festival, South by Southwest Film Festival, BAFICI, AFI Fest, CPH:DOX, Visons du Reel, and BAMcinemaFest among others. He also holds masters degrees in Data Science and Economics.