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< Back Inside the decentralised casino: A longitudinal study of actual cryptocurrency gambling transactions Link ​ Author(s) OJ Scholten, D Zendle, JA Walker Abstract ​ More info TBA ​ Link

< Back ​ Dr Daniel Hernandez University of York ​ iGGi Alum ​ ​ With the games industry as his target, Daniel Hernandez’s main research objective is to design and implement algorithms that, without any prior knowledge, generate strong gameplaying agents for a wide variety of games. To tackle this “from scratch” learning, he uses, and contributes to, the fields of Multiagent Reinforcement Learning, Game Theory and Deep learning. Self-play is the main object of study in his research. Self-play is a training scheme for multiagent systems in which AIs are trained by acting on an environment against themselves or previous versions of themselves. Such training scheme bypasses obstacles faced by many other training approaches which rely on existing datasets of expert moves or human / AI agents to train against. Daniel’s hope is that further development in Self-play will allow game studios of all sizes to generate strong AI agents for their games in an affordable manner. A storyteller by nature, Daniel has a strong track record of outreach through talks and workshops both in the UK and internationally. By sharing his journey, insights and discoveries he hopes to both inspire and instruct students, researchers and developers to realise the potential that Reinforcement Learning has to improve the games industry. His passionate work on Machine learning goes beyond crafting strong gameplaying agents. He sees the potential of using AI to simplify and automate a wide range of tasks in the games industry. He has led successful projects which used machine learning aimed at automating multiagent game balancing to alleviate the burden of manual game balancing. Daniel received an MEng in Computing: Games, Vision & Interaction from Imperial College London. Wanting to combine the power of AI and the creativity of videogames, Daniel began a PhD journey to explore the misty lands of Multi Agent Reinforcement Learning (MARL). Please note: Updating of profile text in progress ​ Email Mastodon https://danielhp95.github.io Other links Website https://www.linkedin.com/in/dani-hernandez-perez-1106b2107 LinkedIn Twitter https://github.com/Danielhp95 Github ​ Featured Publication(s): A comparison of self-play algorithms under a generalized framework A generalized framework for self-play training Metagame Autobalancing for Competitive Multiplayer Games Themes Game AI Player Research - Previous Next

< Back TAG: Pandemic Competition Link ​ Author(s) RD Gaina, M Balla Abstract ​ More info TBA ​ Link

< Back ​ Terence Broad Goldsmiths ​ iGGi PG Researcher ​ Available for post-PhD position Terence Broad is an artist and researcher working on developing new techniques and interfaces for the manipulation of generative models. His PhD focusses on how pre-trained generative neural networks can be repurposed and reconfigured for authoring novel multimedia content. He is completing his PhD at Goldsmiths, University of London and is also a visiting researcher at the UAL Creative Computing Institute. His research has been published in international conferences, workshops and journals such as SIGGRAPH, NeurIPS, Leonardo and xCoAx. He was acknowledged as an outstanding peer-reviewer by the journal Leonardo. Terence is a practicing artist and often uses the techniques he has developed in his research in the creation of his artworks. His art has been exhibited and screened internationally at venues such as The Whitney Museum of American Art, Ars Electronica, The Barbican and The Whitechapel Gallery. He won the Grand Prize in the ICCV 2019 Computer Vision Art Gallery. ​ t.broad@gold.ac.uk Email Mastodon https://terencebroad.com Other links Website https://www.linkedin.com/in/terence-broad-81350668/ LinkedIn https://twitter.com/Terrybroad Twitter https://github.com/terrybroad Github ​ Featured Publication(s): Using Generative AI as an Artistic Material: A Hacker's Guide Is computational creativity flourishing on the dead internet? Interactive Machine Learning for Generative Models Envisioning Distant Worlds: Fine-Tuning a Latent Diffusion Model with NASA's Exoplanet Data Active Divergence with Generative Deep Learning--A Survey and Taxonomy Automating Generative Deep Learning for Artistic Purposes: Challenges and Opportunities Network Bending: Expressive Manipulation of Generative Models in Multiple Domains Active Divergence with Generative Deep Learning--A Survey and Taxonomy Network Bending: Expressive Manipulation of Deep Generative Models Amplifying The Uncanny Transforming the output of GANs by fine-tuning them with features from different datasets Searching for an (un) stable equilibrium: experiments in training generative models without data Autoencoding Blade Runner: Reconstructing Films with Artificial Neural Networks Light field completion using focal stack propagation Autoencoding video frames IoT and Machine Learning for Next Generation Traffic Systems Themes Creative Computing Design & Development - Previous Next

< Back 2021 iGGi Brochure Out now! The 2021 iGGi Brochure * lists profiles of all iGGi Researchers who actively participated in this year's iGGi Conference. Browse the linked pdf version (as well as the Students page on this site, of course) to find out more about individual iGGi PhD's current research. *Brochure design/layout by Timea Farkas ​ Previous 8 Oct 2021 Next

< Back Expressive curve editing with the sigma lognormal model Link ​ Author(s) D Berio, FF Leymarie, R Plamondon Abstract ​ More info TBA ​ Link

< Back Use of Technology in Brief Interventions Link ​ Author(s) L Gega, MJ Saiger Abstract ​ More info TBA ​ Link

< Back Making Connections: Neurodevelopmental Changes in Brain Connectivity after Adverse Experiences in Early Adolescence Link ​ Author(s) A Pollmann, R Sasso, K Bates, D Fuhrmann Abstract ​ More info TBA ​ Link

< Back iGGi Game Jam 2023 The iGGi Game Jam has kicked off on 11 January 2023 and this year’s theme was TRANSFERENCE - check out what the jammers came up with! Here’s a quick summary of the submitted games (in no particular order): Prison of the Endless by James Goodman, Prasad Sandbhor, George Long Agony Haunt by Callum Deery, Sahar Mirhadi, Amy Smith, Florence Smith Nicholls, Sunny Thaicharoen Pseudo Judo by Toby Best, Bobby Khaleque, Dimitris Menexopoulos, Oliver Withington Trip to the Moon by Charline Foch, FrancescaFoffano, Carlos Gonzalez Diaz Outbalance by Yu-Jhen Hsu, Peyman Hosseini, Nirit Binyamini Ben-Meir, Dominik Jeurissen Move The Groove by Dan Cooke, Nathan John-McDougall Pitch ‘it by Michael Saiger Nick Cage's Face Off 2 by Adrián Barahona-Ríos, Matt Whitby Mind Shift by Remo Sasso, Michelangelo Conserva, James Gardner *hacker voice* I’M IN. –– A Hacking Mechanic Supplement by Younès Rabii I know that person by Madeleine Frister, Maximilian Croissant Harlan by Luke Farrar, Tom Wells, Lauren Winter, Evgenii Kashin General audio support to various games was lent by Erin Robinson. And links to all of these games can of course be found via the iGGi GAMES page here or alternatively also via this page on itch: https://itch.io/jam/iggi23/entries There even was a Mini Contest on the last jam day!! Prizes went to the following teams and categories: Agony Haunt won MUCH WOW Nick Cage's Face Off 2 won BUT… WHY? Harlan won LESS IS MORE Outbalance won GIT GUD Pseudo Judo won IT’S A FEATURE Many Congrats to the winners! Yet, it needs to be said: With so many little game gems, it’s nigh impossible to pick favourites! The Game Jam wrapped on Friday afternoon - see twitter thread: ​ Previous 13 Jan 2023 Next

< Back ​ Prof. Damian Murphy University of York ​ Supervisor ​ ​ Damian Murphy is Professor in Sound and Music Computing at the Department of Electronic Engineering AudioLab, University of York, where he has been a member of academic staff since 2000, and is the University Research Theme Champion for Creativity. He started his career in the Performing Arts Department at Harrogate College and has previously held positions at Leeds Metropolitan University and Bretton Hall College. His research focuses on virtual acoustics and he has published over 130 journal articles, conference papers and books in the area. He is a member of the Audio Engineering Society, a Fellow of the Higher Education Academy, and a visiting lecturer to the Department of Speech, Music and Hearing at KTH, Stockholm. Prof. Murphy is also an active sound artist and the Director of the £15m XRStories Creative Industries R&D Partnership exploring interactive and immersive storytelling for the UK’s creative and cultural sectors. He is interested in supervising students with interests in sound design, acoustics and audio signal processing and with a particular focus on: Interactive and immersive audio environments for real-time systems Room acoustics simulation and auralisation Assessment of immersive audio content for gameplay and competitive advantage Interactive/immersive audio storytelling Acoustic scene classification using spatial and spectral feature Audio for immersive environments. Research themes: Game AI Game Audio and Music Games with a Purpose Player Experience ​ damian.murphy@york.ac.uk Email Mastodon https://www-users.york.ac.uk/~dtm3/ Other links Website https://uk.linkedin.com/in/damian-murphy-b272b914 LinkedIn https://twitter.com/soundlabartist Twitter Github ​ ​ Themes Creative Computing Game Audio Immersive Technology - Previous Next

< Back *New Partner Alert* - Safe In Our World iGGi is proud to introduce our new partner Safe In Our World . The charity (which was founded in 2017 by a group of dedicated folks from games industry) wants to foster positive mental health wellbeing and deliver support not only for players but also developers, publishers, retailers and the other incredible folk and teams who make up the video games industry. The main goal of Safe In Our World is to create and foster worldwide mental health awareness within the video game industry; to eliminate the stigma surrounding mental health, to make it a natural topic of discussion, and to promote the dialogue surrounding mental health so people are not afraid to reach out for help if they need it. iGGi is definitely happy to get behind that goal! As part of our pledge, we are committing to address the following points over the forthcoming year and beyond: Continue to create awareness among iGGi Staff, Supervisors and Researchers in respect of mental health related matters Make sure that all iGGi Supervisors have completed some form of mental health training Offer access to Safe In Our World’s resources to all iGGi Staff and PGRs, including training on mental health first aid and similar Update our annual mental health newsletter which contains important local contacts and resources and other information relevant to the topic Campaign for the cause, disseminate and foster “best practice” and support Safe In Our World in its mission Collaborate with Safe In Our World via sharing mental health-related iGGi research/publications and via joint events such as workshops, talks, panels, etc. So, here’s an official WELCOME to the Safe In Our World Team! We look forward to working together on that mission. #LevelUpMentalHealth Please note: Safe In Our World will feature in our upcoming iGGi Conference (06+07 September in York, find the Registration Link here . ​ Previous 24 Aug 2022 Next

< 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 Twitter Github ​ ​ Themes Applied Games Creative Computing Game AI Game Data Player Research - Previous Next