Upcoming event: BDSS Panel: AI at the Crossroads - The Dual Nature of Innovation: Navigating the Technical, Ethical, and Societal Crossroads of AI
Join us in exploring the promises and challenges of Artificial intelligence (AI), particularly in relation to technical, ethical and societal issues
Wednesday 25 February 2026, 10am – 12pm,University of London, Woburn Suite, Senate House
Invited panelists:
Lampros Stergioulas, UNESCO Chair of AI and Data Science for Society and Professor of Data Science at The Hague University of Applied Sciences;
Mark Lycett, Professor of Digital Innovation at Royal Holloway and Head of Business Futures for the CoSTAR National Lab;
Eleonore Vissol-Gaudin, Senior Researcher in the Data Governance Team within the Data and Security Research Group of Fujitsu Research of Europe;
Mahendra Singh Rajpoot, AI professional and researcher specializing in scalable AI architectures and robust data governance frameworks;
Aline Villavicencio, Director of the Institute for Data Science and AI and Professor Computer Science at the University of Exeter.
Moderated by Maged Ali, Reader of Digital Marketing and Business Analytics at Essex Business School, University of Essex.
Hosted by Dimitrios Koufopoulos, Professor and Director of the Online Global MBA Programs at the University of London.
Please, register your attendance here.
Speakers and topics at recent meetings of the British Data Science Society (BDSS):
Antonio Cordella (London School of Economics and Political Science (LSE)): Beyond the Algorithm: Navigating Values in AI Development. BDSS Annual Lecture 2026 at Essex Business School (EBS), University of Essex, Colchester.
Dragos Gavrilut (University of Iasi, and Vice-President of the Threat Research Lab at Bitdefender): Applied Machine Learning in Cybersecurity seminar at Birkbeck, University of London
Daniel Stahl (King’s College London): Predicting psychosis in high-risk patients: An overview of current work at the Institute of Psychiatry, Psychology & Neuroscience (IoPPN) seminar at Goldsmith, University of London
Julia Handl (University of Manchester) Pareto optimization in applied data science – formalizing the exploration of optimal trade-offs meeting at Network Building, School of Computer Science and Electronic Engineering (CSEE), University of Essex, Colchester
Sabrine Mallek (ICN Business School, Nancy Cedex) The power of AI recommendations: from consumer decisions to industrial safeguards
Boris Mirkin (NRU HSE Moscow RF, University London UK) Anomalous clustering at various data formats
Cristina Orso (University of Insubria) Temporary GPs and the effects on patients' health outcomes
The British Data Science Society (BDSS, formerly British Classification Society) exists to encourage the co-operation and exchange of views and information among those interested in the principles, methods and practice of the discipline Data Science in as wide a range of applications as possible in academia, government, industry and society. Its membership includes anthropologists, archaeologists, astronomers, biologists, business analysts, business designers, chemists, computer scientists, data scientists, econometricians, forensic scientists, geologists, information specialists, librarians, mathematicians, psychologists, soil scientists and statisticians.
The BDSS is a founding member of the International Federation of Classification Societies (IFCS). Recent biannual conferences IFCS2022, Porto, Portugal, 19-23 July 2022: Classification and Data Science in the Digital Age and IFCS2024, San Jose, Costa Rica, 15-19 July 2024: Data Science, Classification and Artificial Intelligence for Modelling Decision Making.
Upcoming International Federation of Classification Societies (IFCS) Conference 2026 will take place in Milan, Italy, from 14-16 July 2026. '... The conference will be hosted by the Department of Statistics and Quantitative Methods at the University of Milano-Bicocca. The conference will feature plenary, invited, contributed, and poster sessions, tutorials, a data challenge, and vibrant social activities. IFCS 2026 will offer a dynamic interdisciplinary environment for scholars and professionals across statistics, computer science, mathematics, data science, social sciences, and related fields. ...'