Dynamic Learning & Decision Making Laboratory (DLDM Lab)


Head of Laboratory: Magda Osman


    •  DLDM: Behavioural change techniques: How effective are policies designed to influence our everyday decision-

        making when we struggle with self control?  - in collaboration with Dr Harris (Psychology UCL), Dr Wong (dept

        Management, Hang Sen Management school Hong Kong) we explore this in the context of investment decisions

        and organ donations. In the context of general effectiveness of behavioral change techniques such as nudges,

        we explore the role of the factors that may amplify or attenuate the effectiveness of nudges in collaboration

        with Dr Meder (Max Planck, Berlin).


  • DLDM: Complex environments: (Non-Clinical and Clinical populations) Effort Based decision making  

  • Several projects are directed towards understanding the critical differences between decision making tasks and  in the clinical domain that show preserved as well as  impaired behaviour in patients with Parkinson’s (PD). This work is being conducted in collaboration with Prof. Jahanshahi  at the ION (Institute of Neurology, UCL).  


  •  DLDM: Everyday domains: There is increasing dependence on self-monitoring systems in many everyday domains (e.g., EnergySmart British Gas monitor - home energy consumption) that are inherently dynamic. In collaboration with Prof Norman Fenton and Prof Martin Neil (Computer Science, Queen Mary University of London), and Dr David Lagnado (Dept of Psychology, UCL) the project examines decision making and causal reasoning processes that contribute to solving everyday problems.


  • DLDM: Business & Management Environments: Organizations are just like any other dynamic control system -  in collaboration with Prof. Puranam  (INSEAD, Management dept London Business School LBS), risk profiles and

         how they predict investment plans with Dr Wong (Hang Sen Management school Hong Kong).

Research Interests

DLDM in probabilistic and Random environments

    DMDM in Everyday Domains

    DLDM in Causal Domains

      DLDM in business environments

   DLDM in complex environments