Dr. Boyan Yordanov
"UNSW's and the School of Physics' strong research culture and considerable expertise across the topics of nanoscale devices and protein biophysics make it an ideal partner for the Bio4Comp Consortium. "I feel that collaborative work and personnel exchange between Bio4Comp and our School would be beneficial to both parties, as well as contributing to research cooperation and linkages between the European Union and Australia" writes Warwick Dawson, Director, Research Strategy and Partnerships.
The School hosts the lead node of the Australian Research Council Centre of Excellence for Quantum Computation and Communication Technology and has a long-standing and strong international research effort on the physics of nanoscale electronic devices.
This strength in nanoscale devices is of particular relevance to our proposed collaboration with your Consortium. A/Prof. Adam Micolich has been working on carbon nanotube based sensors for the detection of passing actin filaments in actomyosin molecular motor assays with your team in Lund for several years now, and we understand this work has strong synergies with one of the key objectives of the Bio4Comp research programme.
The QUT School of Mathematical Sciences is a leading centre for mathematics research in Australia. "Of particular relevance to our proposed collaboration witth your Consortium is the is our deep strength in computational science, including in the field of alternative computing approaches and biocomputation" writes Prof. Arun Sharma, Deputy Vice-Chancellor (Research and Commercialisation).
In particular, we could envisage collaborative work on mathematical modelling motor and cellular motility in confined geometries, and we could consider some exchange visits of students and junior faculty in this area. Similarly, our colleagues' work at QUT's Insitute of Health and Biomedical innovation has clear synergy with Bio4Comp's stated aims in terms of developing scalable devices. The School of Mathematics has deep expertise in software development for mathematical applications, including formal verification of biological networks.
Studying research data in the context of scholarly communication is the topic of a research project at the Department of Archivistics, Library and Information Science, Oslo Metropolitan University.
The Bio4Comp consortium cooperates in this study how researchers share research data with each other. The background is the unprecedented level of interest that stakeholders presentaly demonstrate in how researchers communicate their results and data. Governments, universities and research funders, have formulated digital data policies that require granted research projects to develop plans where data management issues, like storage and handling, are specified. These policies are thereby changing the conditions for and practices of data sharing. This project asks: how are research data shared between participants within interdisciplinary projects and how are these practises influenced by the data policy?
One of the declared goals of this project is to generate and structure a larger interdisciplinary community addressing theoretical and technological aspects and identifying future applications of network-based biocomputation.
We are excited that we already have the Associated Partners above, who have documented their interest in collaborating with this project by sending a Letter of Support. We hope to enlarge the number of Associate Partners and invite researchers, both from acadamia and industry, working in related fields to cooperate with us.
We heartily invite researchers from academia and industry who are interested in contributing to the field of network based biocomputation. There are many opportunities to join this ambitious research field: You can participate in one of our workshops, submit your ideas to one of our open-innovation Bio4Comp awards, start a scientific collaboration or even become an associated partner. Click the button below to get in touch with us.
This project has received funding from the European Union’s
Horizon 2020 research and innovation programme under grant agreement No 732482.
Call: FETPROACT-2016; Type of Action: RIA (Research and Innovation Action)