< Back A Conceptual Model for the Analysis of Investigation Elements in Games Link Author(s) Pedro Marques, Marcus Parreiras, Joshua Kritz, Geraldo Xexéo Abstract More info TBA Link

< Back Clyde: A deep reinforcement learning doom playing agent Link Author(s) D Ratcliffe, S Devlin, U Kruschwitz, L Citi Abstract More info TBA Link

< Back Utilising VIPER for Parameter Space Exploration in Agent Based Wealth Distribution Models Link Author(s) OJ Scholten, RJ Spick, KA Hawick Abstract More info TBA Link

< Back Navigating the Lines: Towards a Multi-Perspective Approach on Videogame Monetisation Link Author(s) P Declerck, B Dupont, E Grosemans, E Petrovskaya, M Geudens, M Sas, ... Abstract More info TBA Link

< Back The AI art school: A speculative design workshop Link Author(s) D Barrios-O'Neill, L O'Boyle, N Binyamini Ben Meir Abstract More info TBA Link

iGGi is a collaboration between Uni of York + Queen Mary Uni of London: the largest training programme worldwide for doing a PhD in digital games.

< Back Prof. David Beer University of York Supervisor Professor Beer has been researching new and digital media since completing his PhD in 2006. This has included work on social media, mobile devices and algorithms. Over the last decade he has developed work exploring the social implications of data and metrics. His work has explored how automated decision making is impacting upon social connections and has looked at how the data that accumulates about us shaped the way individuals are understood and judged. He has recently conducted a study of the data analytics industry and produced a report into online targeting. His research areas for supervision include: The social power of algorithms Data analytics The power of data and metrics Critical analyses of data visualization The metricisation of everyday life Social media and social media data Online targeting Data harvesting and inequality Research themes: Game AI Game Analytics Game Design Games with a Purpose Computational Creativity Gaming data Algorithms in gaming Gamification and the social world david.beer@york.ac.uk Email Mastodon https://davidbeer.net/ Other links Website LinkedIn BlueSky Github Themes Applied Games Creative Computing Game AI Game Data Player Research - Previous Next

< Back Dr Tony Stockman Queen Mary University of London Supervisor Dr Stockman is an interaction designer/researcher who investigates how technology can enhance accessibility and improve human performance. He is particularly interested in technology to support spatial cognition and wayfinding, health monitoring and improve performance levels in sport and music. This includes the role of games in simulating these domains and supporting skill acquisition and enhanced performance. He is a Board member and former president of the International Community for Auditory Display ( www.icad.org ). He has organised 6 international workshops on a range of HCI topics, and has been on the organising committee of 10 international HCI-related conferences. Topics on which he has recently published include participatory design and prototyping, auditory overviews for route guidance, self monitoring of biological signals and accessible collaborative working. He is particularly interested in supervising students with a Computer Science, Electrical Engineering, HCI, or behavioural sciences background on the following topics: Simulation to support accessibility and skill acquisition in team sports Intelligent audio mostly games to support learning Intelligent Audio or audio-haptic approaches to health monitoring and biofeedback Intelligent systems to support individual or collaborative music making Research themes: Intelligent simulation systems Interaction design for simulated sports Game Audio and Music Game Design Games with a Purpose t.stockman@qmul.ac.uk Email Mastodon Other links Website LinkedIn BlueSky Github Themes Applied Games Design & Development Esports Game AI Game Audio Player Research - Previous Next

< Back Dr Siamak Shahandashti University of York Supervisor Dr Siamak Shahandashti is a Lecturer (Assistant Professor) in Cyber Security Siamak has extensive experience in designing cryptographic solutions to enhance security and privacy for applications such as electronic voting, auctions, and biometric authentication systems. He has also worked on the security and privacy of password managers, IoT devices, mobile phone sensors, contactless payment, and paper fingerprinting. Siamak is interested in designing systems for improving security and privacy that are easy to use and accessible. He is working on designing usable password strength meters and human verifiable cryptographic codes. Siamak is a core member of the York Interdisciplinary Centre for Cyber Security and an expert fellow of the UK Network on Security, Privacy, Identity, and Trust in the Digital Economy (SPRITE+) He is a co-inventor on multiple patents including the first verifiable e-voting system trialled in the UK (patents US15582447, GB1607597) and paper fingerprinting (patent US15972922) with applications in banknote security. He led the design of the broadcast encryption deployed in millions of Thales’s Pay TV products worldwide. Siamak was part of teams who found vulnerabilities and fixed several systems, including the ISO/IEC11770-4 standard for password-based key exchange used in billions of devices, major mobile browser (Chrome, Firefox, Opera, Safari) sensor access policies, and Bitcoin's Payment Protocol used by 100k+ merchants. He is particularly interested in supervising students on the following topics: Using gamification to improve security and privacy in applications such as authentication and human verification Investigating and improving security and privacy in game environments Research themes: Gamification Games with a Purpose Game Security Game Privacy Game Analytics siamak.shahandashti@york.ac.uk Email Mastodon https://www.cs.york.ac.uk/~siamak Other links Website https://au.linkedin.com/in/siamakfs LinkedIn BlueSky Github Themes Applied Games - Previous Next

< Back Dr Athen Ma Queen Mary University of London Supervisor Athen Ma is an innovator in interdisciplinary approaches to the study of communities and networked ecosystems. She is particularly interested in finding out how the structure and dynamics of communities evolve over time and what kind of mechanics that help underpin cohesion in communities. Her research has been published in world-leading journals, with recent works revealing the organisation of collaborative science in the UK (in PNAS highlight), uncovering how ecological networks rewire under drought (front cover of Nature Climate Change ), and how agricultural ecosystems are resilient to changes in farming management (in Nature Ecology and Evolution ). Online multiplayer games naturally form a platform for social relationships to develop, and deciphering the social structure and dynamics of the communities formed will provide insights into many aspects in games, ranging from users engagement and retention to team formation. For example, matchmaking enables users to find other players who share similar profiles, interests as well as skills and personality; has been seen as an important tool for establishing and maintaining a thriving gaming community. Athen is keen to explore novel ways to use advances in social network analysis to investigate player communities in games across multiple network scales, so as to better understand their formation and evolution. Findings from this research will help identify/predict the type of social interactions that will promote the level of engagement among players and community cohesion, paving the way for designing in-game activities that will foster long-time engagement and retention. athen.ma@qmul.ac.uk Email Mastodon https://sites.google.com/site/athenma2015/ Other links Website LinkedIn BlueSky Github Themes Game Data Player Research - Previous Next

< Back Prof. David Adger Queen Mary University of London Supervisor Inventing new languages for in-game communications; studying their effects on game play and character development. d.j.adger@qmul.ac.uk Email Mastodon Other links Website LinkedIn BlueSky Github Themes Creative Computing - Previous Next

< Back Dr Anthony Constantinou Queen Mary University of London Supervisor Anthony Constantinou’s research is on Bayesian Artificial Intelligence for causal discovery and intelligent decision making under uncertainty. He applies his research to a wide range of areas, including gaming, sports, medicine and finance. He is the founder of the Bayesian Artificial Intelligence research lab at Queen Mary University of London. He is interested in supervising students who are interested in working with machine learning algorithms that discover causal relationships from data (applied to game data), or building intelligent decision-making models using Bayesian networks (applied to game data). Please note that these projects focus on working with game data. Students interested in these projects should have skills that are relevant to: Machine learning for causal discovery Bayesian networks Statistics and probability theory a.constantinou@qmul.ac.uk Email Mastodon https://www.constantinou.info Other links Website https://www.linkedin.com/in/anthony-c-constantinou-728b6b49/ LinkedIn BlueSky Github Themes Game AI - Previous Next