ERC FUNDED PROJECTS

Combinatorial Construction is a mathematical challenge with many applications. Examples include the construction of networks that are very sparse but highly connected, or codes that can correct many transmission errors with little overhead in communication costs. For a general class of combinatorial objects, and some desirable property, the fundamental question in Combinatorial Construction is to demonstrate the existence of an object with the property, preferably via an explicit algorithmic construction. Thus it is ubiquitous in Computer Science, including applications to expanders, sorting networks, distributed communication, data storage, codes, cryptography and derandomisation. In popular culture it appears as the unsolved `lottery problem' of determining the minimum number of tickets that guarantee a prize. In a recent preprint I prove the Existence Conjecture for combinatorial designs, via a new method of Randomised Algebraic Constructions; this result has already attracted considerable attention in the mathematical community. The significance is not only in the solution of a problem posed by Steiner in 1852, but also in the discovery of a powerful new method, that promises to have many further applications in Combinatorics, and more widely in Mathematics and Theoretical Computer Science. I am now poised to resolve many other problems of combinatorial construction.

1 706 729 €

Start date: 2016-01-01, End date: 2021-06-30

Recent years have seen renewed interest in the political economy of punishment, yet almost no attention has been given to the factors that translate socio-political arrangements into penal practices or the specific nature of imprisonment in different political-economic systems. Based on research in England & Wales and one Nordic nation, the project goals are to expose the dynamics of the penal state and the nature of penality in countries that are considered ‘exclusionary’ and ‘inclusionary’ respectively in their socio-economic and penal practices. These goals will be achieved through four comparative sub-projects: first, a study of penal policymaking and the ‘penal field’ (the players and processes that shape penal policy and practice); second, an exploration of the texture of imprisonment for women and sex offenders, groups presumed to experience inclusionary and exclusionary penal practices in distinctive ways; third, a study of how these prisoners experience entry into and exit from the system; fourth, a study of the ‘deep end’ imprisonment in both countries. A central aim is to interrogate widespread assumptions about the relative mildness/severity of penal practices in inclusionary and exclusionary nations. The research will employ an emerging framework that conceptualises the prison experience through notions of ‘depth’, ‘weight’, ‘tightness’ and ‘breadth’. It will foreground the roles of shame and guilt in shaping prisoners’ orientations, concepts that feature in theories of offending and reintegration, but are absent from the sociology of imprisonment. Through the concept of ‘penal consciousness’, the project will also explore the interaction between the punitive intentions of the state and prisoners’ perceptions of the purposes and legitimacy of their punishment. The research will be groundbreaking in several ways, reshaping the field of comparative penology, and linking macro issues of the penal state with the lived realities of the prison landings.

1 964 948 €

Start date: 2015-09-01, End date: 2021-08-31

Genome maintenance, chromatin remodelling and transcription are tightly linked biological processes that are currently poorly understood and vastly unexplored. Nucleotide excision repair (NER) is a major DNA repair pathway that mammalian cells employ to maintain their genome intact and faithfully transmit it into their progeny. Besides cancer and aging, however, defects in NER give rise to developmental disorders whose clinical heterogeneity and varying severity can only insufficiently be explained by the DNA repair defect. Recent work reveals that NER factors play a role, in addition to DNA repair, in transcription and the three-dimensional organization of our genome. Indeed, NER factors are now known to function in the regulation of gene expression, the transcriptional reprogramming of pluripotent stem cells and the fine-tuning of growth hormones during mammalian development. In this regard, the non-random organization of our genome, chromatin and the process of transcription itself are expected to play paramount roles in how NER factors coordinate, prioritize and execute their distinct tasks during development and disease progression. At present, however, no solid evidence exists as to how NER is functionally involved in such complex processes, what are the NER-associated protein complexes and underlying gene networks or how NER factors operate within the complex chromatin architecture. This is primarily due to our difficulties in dissecting the diverse functional contributions of NER proteins in an intact organism. Here, we propose to use a unique series of knock-in, transgenic and NER progeroid mice to decode the functional role of NER in mammals, thus paving the way for understanding how genome maintenance pathways are connected to developmental defects and disease mechanisms in vivo.

1 995 000 €

Start date: 2016-01-01, End date: 2021-06-30

This grant will develop and translate a unifying framework for optimal decision-theory, and observations of natural systems, to design distributed algorithms for decentralised decision-making. This will enable a technological step-change in techniques for controlling distributed systems, primarily demonstrated during the grant by decentralised control of robot swarms. These algorithms and associated methodology will also provide hypotheses and tools to change the way scientists think about and interrogate natural decision mechanisms, from intracellular regulatory networks, via neural decision circuits, to decision-making populations of animals. Specific objectives are: 1. Distributed value-sensitive decision-making: undertake optimality analyses of the applicant’s existing decentralised decision-making algorithms based on observations of collective iterated voting-processes in honeybees, and extend these. 2. Distributed sampling and decision-making: design distributed mechanisms that implement optimal compromises between sampling information and making decisions based on that information. 3. Individual-confidence and distributed decision-making: translate machine learning theory to collective behaviour models, designing mechanisms in which weak decision-makers optimally combine their decisions to optimise group performance. 4. Optimal distributed decision-making in collective robotics: translate theory from objective 1 to 3 towards practical applications in artificial systems, demonstrated using collectively-deciding robots. 5. Development of tools for life scientists and validation of theoretical predictions in natural systems: interact with named collaborators to investigate identified decision mechanisms in single cells, in neural circuits, and in social groups. Develop accessible modelling tools to facilitate investigations by life scientists.

1 413 705 €

Start date: 2015-08-01, End date: 2020-11-30