Professor Mick Grierson
Title
Professor and Research Leader - UAL Institute for Creative Computing
College
University of the Arts London
Email address
Tags
Researcher Research
Biography
Mick Grierson is Research Leader at UAL Creative Computing Institute. His research explores new approaches to the creation of sounds, images, video and interactions through signal processing, machine learning and information retrieval techniques. Hardware and software based on his research has been widely used by world leading production companies, tech start-ups and artists including the BBC, Channel 4, Massive Attack, Sigur Ros, Christian Marclay, Martin Creed, Jai Paul and many others.He led the first BSc programmes in Creative Computing in the UK, and the first creative programming MOOC in the world, with over 250,000 learners. Work by his students and research group was instrumental in the development of the field known as Creative AI. He was Principal Investigator on the £1million Artificial Intelligence project MIMIC, a partnership between Durham University, Sussex University, Goldsmiths College, and Google’s Project Magenta, and is currently CO-I on the AHRC's Transforming Collections project (£3million, led by Susan Pui San Lok). He was the Academic Research Lead for the £1million 2018-2020 Wellcome Trust Hub, in collaboration with Heart n Soul, RCA Helen Hamlyn Centre and UCL CRAE, and Principal Investigator for the Institute of Coding's £1.4 million Future Projects Fund Project, "Creative Solutions to Digital Transformation", in collaboration with FutureLearn, Lancaster University, Goldsmiths College, and Nesta
Grants and awards
(Figures indicate amount awarded to UAL)
- AHRC, Transforming Collections: Reimagining Art, Nation and Heritage, £2,947,162.00, (2021-2024)
- AHRC, Transforming Collections: Reimagining Art, Nation and Heritage, £2,947,162.00, (2021-2024)
- Erasmus+ 2020 KA226 Digital Partnerships, Accessible immersive learning for art and design, €298,189.00, (2021-2023)
- Erasmus+ 2020 KA226 Digital Partnerships, Accessible immersive learning for art and design, €298,189.00, (2021-2023)
- Arts and Humanities Research Council, MIMIC - Musically Intelligent Machines Interacting Creatively, £806,693.00, (2018-2021)
- Arts and Humanities Research Council, MIMIC - Musically Intelligent Machines Interacting Creatively, £806,693.00, (2018-2021)
- Wellcome Trust, The Hug: People with and without Learning Disabilities and Autism looking at what it means to live well, £211,255.28, (2018-2020)
- Institute of Coding, Creative Solutions to Digital Transformation
Research Outputs
Article
- Nybom W, Grierson M. Personality in Personalisation: A User Study with an Interactive Narrative, a Personality Test and a Personalised Short Story (2022)
- Kirk PD, Grierson M, Ward N, Brander F, Kelly K, Chegwidden W, Shivjhi D, Stewart L. Real-time auditory feedback may reduce abnormal movements in patients with chronic stroke (2022)
- Broad T, Leymarie FF, Grierson M. Network Bending: Expressive Manipulation of Generative Models in Multiple Domains (2021)
- Bernardo F, Zbyszynski M, Grierson M, Fiebrink R. Designing and Evaluating the Usability of a Machine Learning API for Rapid Prototyping Music Technology (2020)
- Bernardo F, Grierson M, Fiebrink R. User-Centred Design Actions for Lightweight Evaluation of an Interactive Machine Learning Toolkit (2018)
- Yee-King M, Grierson M, d'Inverno M. Evidencing the value of inquiry based, constructionist, learning for student coders (2017)
- Broad T, Grierson M. Autoencoding Blade Runner: Reconstructing Films With Artificial Neural Networks (2017)
Book Section
- Broad T, Berns S, Colton S, Grierson M. Active Divergence with Generative Deep Learning - A Survey and Taxonomy (2021)
- Grierson M. Creative Coding for Audiovisual Art: The CodeCircle Platform (2018)
- Fiala J, Yee-King M, Grierson M. Collaborative Coding Interfaces on the Web (2016)
- Kirk P, Grierson M, Bodak R, Ward N, Brander F, Kelly K, Newman N, Stewart L. Motivating Stroke Rehabilitation Through Music: A Feasibility Study Using Digital Musical Instruments in the Homes (2016)
Conference, Symposium or Workshop item
- Perry P, Fiebrink R, Grierson M, Brueggemann MJ, Doukianou S, Plummer-Fernandez M, Troisi A. Art in HCI: A View from the UAL Creative Computing Institute (2022)
- Lalioti V, Ppali S, Thomas A, Hrafnkelsson R, Grierson M, Ang CS, Wohl B, Covaci A. VR Rehearse & Perform - A platform for rehearsing in Virtual Reality (2021)
- Chapko D, Frumiento P, Emeh L, Rothstein P, Kennedy D, McNicholas D, Orjiekwe I, Overton M, Snead M, Steward R, Sutton JM, Bradshaw M, Jeffreys E, Gallia W, Ewans S, Williams M, Grierson M. Supporting Remote Survey Data Analysis by Co-researchers with Learning Disabilities through Inclusive and Creative Practices and Data Science Approaches (2021)
- Broad T, Leymarie FF, Grierson M. Network Bending: Expressive Manipulation of Deep Generative Models (2021)
- Chapko D, Grierson M. Amplifying Voices: Co-researchers with Learning Disabilities Use a Co-designed Survey to “have a conversation with the public” (2020)
- Chapko D, Frumiento P, Edwards N, Emeh L, Kennedy D, McNicholas D, Overton M, Snead M, Steward R, Sutton JM, Jeffreys E, Long C, Croll-Knight J, Connors B, Castell-Ward S, Coke D, McPeake B, Renel W, McGinley C, Remington A, Whittuck D, Kieffer J, Ewans S, Williams M, Grierson M. “We have been magnified for years - now you are under the microscope!": Co-researchers with learning disabilities created an online survey to challenge public understanding of learning disabilities (2020)
- Broad T, Grierson M. Searching for an (un)stable equilibrium: experiments in training generative models without data (2019)
- Akten M, Fiebrink R, Grierson M. Learning to See: You Are What You See (2019)
- Grierson M, Yee-King M, McCallum L, Kiefer C, Zbyszynski M. Contemporary Machine Learning for Audio and Music Generation on the Web: Current Challenges and Potential Solutions (2019)
- Akten M, Fiebrink R, Grierson M. Deep Meditations: Controlled navigation of latent space (2018)
- Zbyszynski M, Grierson M, Yee-King M, Fedden L. Write once run anywhere revisited: machine learning and audio tools in the browser with C++ and emscripten (2017)
- Berio D, Akten M, Leymarie FF, Grierson M, Plamondon R. Calligraphic Stylisation Learning with a Physiologically Plausible Model of Movement and Recurrent Neural Networks (2017)
- Zbyszynski M, Grierson M, Yee-King M. Rapid Prototyping of New Instruments with CodeCircle (2017)
- Yee-King M, Grierson M, d'Inverno M. STEAM WORKS: Student coders experiment more and experimenters gain higher grades (2017)
- Bernardo F, Zbyszynski M, Fiebrink R, Grierson M. Interactive Machine Learning for End-User (2017)
- Akten M, Grierson M. Collaborative creativity with Monte-Carlo Tree Search and Convolutional Neural Networks (2016)
- Akten M, Grierson M. Real-time interactive sequence generation and control with Recurrent Neural Network ensembles (2016)
- Broad T, Grierson M. Light Field Completion Using Focal Stack Propagation (2016)
- Olowe I, Barthet M, Grierson M, Bryan-Kinns N. FEATUR.UX exploiting multitrack information for artistic visualization (2016)
- Grierson M, Kiefer C. NoiseBear: A Wireless Malleable Instrument Designed In Participation with Disabled Children (2013)
- Grierson M, Kiefer C. NoiseBear: a wireless malleable multiparametric controller for use in assistive technology contents (2013)
- Grierson M, Kiefer C. Better Brain Interfacing for the Masses: Progress in Event-Related Potential Detection Using Commercial Brain Computer Interfaces (2011)
Report
- Davis G, Grierson M. Investigating attitudes of professional writers to GPT text generation AI based creative support tools (2022)
Teaching
Current research students
- Geoff Davis, Story generating software from styling texts (narrow AI) to plots and complex stories (general AI) (Lead supervisor)
- Zhengdong He, Machine Learning Audio Synthesis Methods for Musical Sound Exploration and Modulation (Lead supervisor)
- Angus Main, Co-designing with AI: Design Approaches to Creativity Support with Imbedded Artificial Intelligence (Lead supervisor)
- Jussi Nybom, Data Driven Approaches to Narrative Personalisation Through Psychologically Motivated Models (Working Title) (Lead supervisor)
- Geoff Smith, Creative control of neural synthesis (Lead supervisor)
Subjects
Creative Computing