Tag Archives: Complexity

The maths behind ‘impossible’ never-repeating patterns

Dr Priya Subramanian is a Research Fellow at the Department of Mathematics, University of Leeds. Her interests lie in understanding mechanisms that govern spatio-temporal patterns and emergent behaviours in systems such as thermacoustic systems, transistional (convective/shear) flows of fluids and motion of active organelle filaments. Currently, she is looking at formation of quasipatterns; patterns that possess discrete spectra despite having no translational symmetries.

Patterns and the visual system of the fruit fly ‘Drosophila’.

Dr Iris Salecker is program leader in the Division of Molecular Neurobiology at the Medical Research Council National Institute for Medical Research in London (now part of the Francis Crick Institute). Her current team studies the mechanisms underlying visual circuit assembly in Drosophila, with a special interest in axon-target and neuron-glia interactions. In this exclusive interview she discusses her ideas and work, and her collaborative project with artist, Helen Pynor, for the ‘Deconstructing Patterns’ exhibition.

The Emerging Post-Materialist Paradigm: Toward the Next Great Scientific Revolution

“The materialist worldview, which has dominated science and academia over the last few centuries, has run its course. At last the tired old materialist paradigm has started to crumble, and a new paradigm has begun to emerge.”

Mario Beauregard, PhD., is a neuroscientist currently affiliated with the Department of Psychology, University of Arizona. He was the first neuroscientist to use neuroimaging to investigate the neural underpinnings of conscious and voluntary emotion regulation. Because of his research into the neuroscience of consciousness, he was selected (2000) by the World Media Net to be one of the “One Hundred Pioneers of the 21st Century.” In addition, his groundbreaking research on the neurobiology of spiritual experiences has received international media coverage, and a documentary film has been produced about his work (The Mystical Brain, 2007).

How many locusts does it take to start a biblical plague? Just three

Kit Yates is a Lecturer in Mathematics at the University of Bath, UK, where his research focuses on the mathematical modelling and analysis of biological systems. Throughout his career to date, he has worked on a variety of intriguing problems, modelling the random motion of single molecules at one extreme, to the large-scale migration of swarming insects at the other.

Entangling Art & Biology: Knot Two – The Dream Vortex and the Demon Artist

Meredith Tromble is an intermedia artist whose curiosity about the links between imagination and knowledge has led to her form collaborations with scientists in addition to her work in installation and performance. Her artworks have been presented internationally and she is also the author of hundreds of short form art writings and editor of two books, including ‘The Routledge Companion to Biology in Art and Architecture’, co-edited with Charissa Terranova.

Playing with ants & other insects: ant mimicry as a phenomenological approach in relation to games and technology

“By combining biological mimicry with a phenomenological discourse about games, I will connect ants’ behavior with emergent manifestations in games and to the metaphor of wearing masks in humans.”

Kuai Shen is a naturalist and ant lover. His hybrid installations explore the interspecies relationships in the natural/artificial continuum inspired by ants and by the subjective intertwining of parasites, microorganisms and viruses.

The Mathematics of Life

Kit Yates is a Lecturer in Mathematics at the University of Bath, UK, where his research focuses on the mathematical modelling and analysis of biological systems. Throughout his career to date, he has worked on a variety of intriguing problems, modelling the random motion of single molecules at one extreme, to the large-scale migration of swarming insects at the other. In this exclusive interview he discusses his research and work in Mathematical Biology.