快播视频

Research Interests

Lena's research interests lie in criminology and in Science and Technology Studies (STS) with a particular interest in how security, crime and technology intersect. Her research focusses on how AI and ML-based new and emerging technologies may be used to offend and to enhance security in the areas of policing and cybersecurity. She joined 快播视频 as part of the Security and Protection Science Initiative. Lena is an Associate Fellow of the Research Institute for Sociotechnical Cyber Security ().

Among the topics she has researched are automated affect recognition, smart home technologies and policing, extended reality in police training, automated social security, and algorithmic bias and transparency. Lena is a Co-I for the 快播视频 Policing Academic Centre of Excellence (L-PACE).

Lena's most recent work was conducted in relation to the resilience of Critical National Infrastructure as well as to cybersecurity culture. Recently she worked on which aims to use AI/ML-based techniques and crime scripting to identify points of intervention for online financial fraud.

In relation to automated affect recognition the problems and threats associated with using technologies that claim to detect people's emotions or intentions in crime prevention and policing.

As part of the research project funded by UKRI-JST Joint Call on Artificial Intelligence and Society she co-authored papers on the use of and evidence procedures, and on the potential role of artificial agents in online radicalisation.

In an EPSRC-funded project she explored the .

Previously she investigated the lived experiences of Universal Credit recipients through a , and worked on the EU Horizon 2020 Twinning Project where she conducted research on algorithmic bias and transparency.

Current Teaching

Dr Podoletz currently is convening and teaching the module Cybercrime and Cybercriminality.

She also teaches on the following modules: Criminological thought; Criminological research in practice; Crime and criminal justice in the 21st century; Contemporary issues in policing

Career Details

Before coming to 快播视频 Lena worked as a Research Fellow in Automated Universal Credit at STIS (Science, Technology and Innovation Studies) at the University of Edinburgh. Prior to this she was a Research Fellow in Emotional AI and Smart Cities at the School of Law, University of Edinburgh and a Research Assistant at the School of Informatics also at the University of Edinburgh.

PhD Supervision Interests

I am interested in receiving proposals from potential PhD students in the field of crime, technology and (cyber)security.