Inverse problems are widespread in many varied fields such as medical and satellite imaging, biology, astronomy, geophysics, environmental sciences, computer vision, energy, finance, and defence. These problems are inverse in the sense that they arise from seeking to use a mathematical or physical model “backwards” to indirectly determine a quantity of interest from the effect that this quantity causes on some observed data. A main challenge resulting from using models “backwards” to measure causes from their effects is that solutions are often not well posed, i.e., not unique and/or unstable with respect to small perturbations in the data. This difficulty has stimulated an important amount of research and innovation at the interface of applied mathematics, statistics, engineering, physics, and other fields, leading to great social and economic benefit through impact on science, medicine, and engineering. The aim of this conference is to bring together the applied mathematics, statistics, machine learning, engineering, physics and industrial communities around the topic of inverse problems to discuss recent developments and open challenges in theory, methodology, computational algorithms, and applications. We welcome industrial representatives, doctoral students, early career and established academics working in this field to attend. Topics of interest include, for example, • Inverse problems in mathematical and computational imaging. • Inverse problems in science, medicine, engineering, and other fields. • Model‐based and data‐driven methods for solving inverse • Optimisation, statistical, and machine learning methods for solving inverse problems. • Mathematical theory for inverse problems. • Deterministic and stochastic computational methods and algorithms. Call for Papers instructions: Call for Papers ‐ Papers will be accepted for the conference based on a 100 word abstract for oral or poster presentation. We welcome abstracts to be submitted by 7th January 2022 via Please indicate whether your title is intended for oral “presentation” or “poster” presentation. Please send your abstracts in plain text format (no equations). Note: If you are an IMA Member or you have previously registered for an IMA conference, then you are already on our database. Please “request a new password” using the email address previously used, to log in. Registration: Registration is now open via: Registration will close on 27 April 2022, for any enquiries after this date please contact the Conferences Team. If you are an IMA Member or you have previously registered for an IMA conference, then you are already on our database. Please “request a new password” using the email address previously used, to log in. Conference Fees: Conference fees include access to the Conference, refreshments and lunches and a Delegate pack. Early Bird Fee – IMA Member £200 Early Bird Fee – Non Member £265 Early Bird Fee – IMA Student £100 Early Bird Fee – Non Member Student £120 Early Bird Fees will be available until 9th of April after which fees will increase by £20. Confirmed Invited Speakers: Thomas Pock (Graz University of Technology, Austria) Gabriele Steidl (Berlin Institute of Technology, Germany) Jason McEwen (University College London & Kagenova) Yi Yu (University of Warwick, UK) Andrew Duncan (Imperial College London, UK) Luca Calatroni (CNRS & Nice University, France) Organising Committee: Marcelo Pereyra (Heriot‐Watt University & Maxwell Institute) ‐ Conference Chair Yoann Altmann (Heriot‐Watt University) Konstantinos Zygalakis (University of Edinburgh & Maxwell Institute) Mike Davies (University of Edinburgh) Scientific Committee: Simon Arridge (University College London) Marta Betcke (University College London) Martin Benning (Queen Mary University of London) Thomas Blumensath (University of Southampton) Tatiana Bubba (University of Bath) Julie Delon (Paris Descartes University) Matthias Ehrhardt (University of Bath) Jean‐François Giovannelli (University of Bordeaux) Sean Holman (University of Manchester) Clifford Nolan (University of Limerick) Clarice Poon (University of Bath) Audrey Repetti (Heriot‐Watt University & Maxwell Institute)