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07-05-2019 | © picture

Why the answer to how to strengthen public trust in elections is… SEEV

ELECTION SERIES  #3

The traditional pencil-and-paper method to mark your vote in the polling booth has been gradually replaced by electronic voting machines in many countries, in Europe and beyond. Ensuring the security of electronic voting machines and quelling fears of vote-rigging have become ever more important. One ERC-funded researcher has been working tirelessly to develop such an e-voting system through two projects, SEEVS and its follow-up SEEVCA.

29-11-2018 | Pictures and portrait: © Saarland University, HCI Lab

Tech-filled tattoos to interact with the surrounding world

The increasing development of wearable technology sparks the need for new, innovative ways to interact with our shiny gadgets. Deviating from the conventional approach based on touch-sensitive devices, Prof. Jürgen Steimle aims at producing body-worn user interfaces that can be applied directly on the skin. Highly personalised, biocompatible and ultrathin, these devices will seamlessly blend with the human skin to create a technological extension of our body.

10-09-2018 | © picture

Mining Big Data for precious medical insight

The amount of currently available biomedical data is overwhelming. Large databases exist at different scales, from genes, to proteins, to patients' histories. But what do scientists do with all this information? Serbian-born Professor Nataša Pržulj, from University College London, works with Big Data to establish patterns and gain knowledge that could revolutionise how we treat diseases.

08-08-2018 | © Image: istockphotos.com

Classifying von Neumann algebras

Group theory, functional analysis and ergodic theory – three distinct areas of mathematics that meet within the theory of von Neumann algebras. The RIGIDITY project, funded by the ERC, aims to classify families of von Neumann algebras.

06-08-2018 | © picture

New tools to understand the large-scale behaviour of complex systems

Understanding complex structures means separating irrelevant information to get to something simpler and easier to understand. When you look at something from a distance – although you don’t see all the details, you can still describe what you see. ERC grantee Balázs Szegedy has developed several mathematical tools for providing a compressed yet useful view of complex structures.

03-08-2018 | © picture

Statistical inference for random functions and measures

How does one infer the dynamics of a DNA minicircle in solution? How does one align the neuronal firing patterns of several neurons across individuals? These questions are intrinsically statistical, but nevertheless escape the traditional tools of statistics. The ComplexData project investigated such questions from a mathematical and an applied context.

03-08-2018 | Rayleigh Taylor Instability ©DYCON

New approaches to controlling dynamics

Once limited to modelling physical problems in engineering, today Partial Differential Equations (PDEs) are used by a diverse array of fields, from natural resources to meteorology, aeronautics, oil and gas and biomedicine – to name only a few. But key mathematical issues remain unsolved, particularly when addressing their control, a must in technological transfer. The ERC-funded DYCON project aims to find answers.

02-08-2018 | ©HITS (Heidelberg Institut für Theoretische Studien)

Understanding the deformation spaces of geometric structures

Funded by the ERC, Prof. Anna Wienhard studies several new geometric forms that have been discovered over the past 20 years. These structures are closely related to the generalisation of Teichmüller space, which describes how the surface of a pretzel can be endowed with the geometry of an Escher painting.

01-08-2018 | © picture

Unravelling the mysteries of homogeneous dynamics

How do you study arithmetic objects like integer points using the theory of dynamical systems? The answer is homogenous dynamics, and this connection goes both ways. The GMODGAMMADYNAMICS project, funded by an ERC grant, took a broad approach towards studying this rich interplay.

30-07-2018 | © picture

Getting to grips with (slow) chaos

Chaotic systems are everywhere: the weather, molecules in a gas, the stock market. Small variations in initial conditions can lead to a drastically different time evolution, a phenomenon known as the butterfly effect. Systems can be classified according to how fast different, nearby initial conditions diverge in time. Supported by the ERC, Prof. Corinna Ulcigrai is investigating systems for which nearby initial conditions diverge slowly in time, to uncover mechanisms which explain their complex behaviour.