ERC FUNDED PROJECTS

"Here, we propose a novel design for a significantly improved detector for the emerging field of coherent two-dimension infrared (2DIR) spectroscopy, which is an optical analog of Nuclear Magnetic Resonance spectroscopy (NMR). 2DIR is a cutting edge technique which is rapidly growing and has applications in subjects as diverse as energy sciences, biophysics, biomedical research and physical chemistry. Currently, the single most important technical problem that is generally agreed to limit applications of the methodology is the sensitivity with which the signals are measured. Having worked on multiple stabilisation techniques during the ERC funded research it was realised that a straightforward design alteration of the infrared detector will improve the sensitivity very significantly, theoretically by more than one order of magnitude. Here, the technical principles are explained, and a plan for commercialising the instrument in collaboration with the current market leader - Infrared System Development Corp. (ISDC) -. We apply for funding to develop the prototype."

149 999 €

Start date: 2013-11-01, End date: 2014-10-31

"The twin concepts of sustainability and conservation that are so pivotal within current debates regarding economic development and biodiversity protection both contain an inherent temporal dimension, since both refer to the need to balance short-term gains with long-term resource maintenance. Proponents of resilience theory and of development based on ‘indigenous knowledge’ have thus argued for the necessity of including archaeological, historical and palaeoenvironmental components within development project design. Indeed, some have argued that archaeology should lead these interdisciplinary projects on the grounds that it provides the necessary time depth and bridges the social and natural sciences. The project proposed here accepts this logic and endorses this renewed contemporary relevance of archaeological research. However, it also needs to be admitted that moving beyond critiques of the misuse of historical data presents significant hurdles. When presenting results outside the discipline, for example, archaeological projects tend to downplay the poor archaeological visibility of certain agricultural practices, and computer models designed to test sustainability struggle to adequately account for local cultural preferences. This field will therefore not progress unless there is a frank appraisal of archaeology’s strengths and weaknesses. This project will provide this assessment by employing a range of established and groundbreaking archaeological and modelling techniques to examine the development of two east Africa agricultural systems: one at the abandoned site of Engaruka in Tanzania, commonly seen as an example of resource mismanagement and ecological collapse; and another at the current agricultural landscape in Konso, Ethiopia, described by the UN FAO as one of a select few African “lessons from the past”. The project thus aims to assess the sustainability of these systems, but will also assess the role archaeology can play in such debates worldwide."

1 196 701 €

Start date: 2014-02-01, End date: 2018-01-31

Antibody detection assays are used in many fields of biomedicine including the diagnosis of infectious diseases, autoimmune diseases and allergies. Current analytical techniques for antibody detection come with intrinsic limitations such as the requirement for multiple time-consuming incubation steps, multiple reagents, and/or sophisticated equipment. Supported by an ERC consolidator grant we have developed a highly modular sensor concept for antibody-responsive reporter enzymes (AbSens) that addresses many of these challenges. Key advantages include the ability to monitor antibodies directly in solution, easy read-out based on a simple color reaction, adaptability to target any antibody of interest, and high affinity and specificity. We believe that this generic sensor platform could find applications in low-cost point-of-care diagnostics, clinical research, and the development of therapeutic antibodies. The goal of AbSens is to identify those opportunities in the huge market of antibody-based diagnostics where our sensor platform provides unique advantages over existing technologies, both in terms of analytical performance and economics. To enable the next step towards commercialization, the analytical performance of our technology will be compared to current gold standards using relevant clinical samples in collaboration with commercial parties and clinicians. Other commercially important parameters are the long-term stability of the assay components and the development of a yeast-based production system to lower the cost of enzyme production. Based on an in-depth market analysis and the feedback we receive from external stakeholders on the performance of our technology, a realistic strategy will be developed for the further commercialization. In anticipation of exploring the commercialization of our AbSens technology we filed a US provisional patent application in Sept. 2012 on the key underlying technology, which was recently continued via the PCT route.

150 000 €

Start date: 2014-09-01, End date: 2015-08-31

Computer models based on known physical laws are our primary tool for predicting climate change. Yet the state-of-the-art models exhibit a disturbingly wide range of predictions of future climate change, especially when examined at the regional scale, which has not decreased as the models have become more comprehensive. The reasons for this are not understood. This represents a basic challenge to our fundamental understanding of climate. The divergence of model projections is presumably related to systematic model errors in the large-scale fluxes of heat, moisture and momentum that control regional aspects of climate. That these errors stubbornly persist in spite of increases in the spatial resolution of the models suggests that they are associated with errors in the representation of unresolved processes, whose effects must be parameterised. Most attention in climate science has hitherto focused on the thermodynamic aspects of climate. Dynamical aspects, which involve the atmospheric circulation, have received much less attention. However regional climate, including persistent climate regimes and extremes, is strongly controlled by atmospheric circulation patterns, which exhibit chaotic variability and whose representation in climate models depends sensitively on parameterised processes. Moreover the dynamical aspects of model projections are much less robust than the thermodynamic ones. There are good reasons to believe that model bias, the divergence of model projections, and chaotic variability are somehow related, although the relationships are not well understood. This calls for studying them together. My proposed research will focus on this problem, addressing these three aspects of the atmospheric circulation response to climate change in parallel: (i) diagnosing the sources of model error; (ii) elucidating the relationship between model error and the spread in model projections; (iii) understanding the physical mechanisms of atmospheric variability.

2 489 151 €

Start date: 2014-03-01, End date: 2020-02-29