Category / Global engagement

British Council funded BU project SUNRISE on sustainability research: three upcoming events

SUNRISE (Supporting ­­­University Network for Research in Sustainability Engagement) is a British Council funded managed by BU in collaboration with Universiti Sains Malaysia (USM).

The project aims at inspiring and building capacity for sustainability research through hybrid cross-institutional student mobility events. Particularly, it focuses on leveraging student online and hybrid mobility to build capacity for research on sustainability and the UN Sustainable Development Goals (SDGs).

To achieve this, we will be hosting three cross-institutional hybrid conferences celebrating sustainability research carried out by staff, and undergraduate and postgraduate students in both universities. These will be demonstrating research addressing local and global challenges on five key themes:

 

Food nutrition and eating behaviour (SDG 2, 3, and 12)

Gender equality (SDG 5) 

Tourism and Hospitality (SDGs 3, 10, 12)  

Sustainability marketing and communication (all SDGs)  

Sustainability and employability (SDG 4, 5 and 8)  

 

The events will be delivered following the following schedule:

17 April 2024, 8-10 am (UK time) - researchers from both BU and USM will introduce the work they carry out on the themes above

9 May 2024, 8-10 am  (UK time) – we will host a student conference including live presentations and a virtual multimedia exhibition of UG and PG student research related to global challenges

Autumn 2024 - we will host a PGR conference including live presentations and a virtual multimedia exhibition of research related to global challenges

All events in the series will be run in a hybrid mode, i.e. they will be in-person at both the partner campuses with a virtual link between both universities capturing keynote presentations, online panel sessions and live pitches for research collaboration.

At BU, the project is managed by Dr Milena Bobeva (BUBS), Dr Reena Vijayakumaran (HSS), Prof Fiona Cownie (FMC), Dr Roberta Discetti (BUBS), and  Dr Daisy Fan (BUBS). Our partners at Universiti Sains Malaysia (USM) are Dr Vina Tan Phei Sean and Assoc Prof. Ng Theam Foo.

 

Intellectual Property for Academics

      Wednesday 24th January 10:30 - 12:00

This workshop will deliver essential knowledge and know-how from an industry expert, enabling you to gain a deeper understanding of IP that will support development of your research outcomes, prepare you for knowledge exchange activities and help with achieving lasting research impact.

Presented by Dr Nicholas Malden, Partner at D Young & Co, a leading top-tier European intellectual property firm and Bournemouth University’s preferred patent firm.

Nick Malden has more than 18 years’ experience in intellectual property specialising in patents, in particular those concerned with electronics, physics, materials, medical devices, and software. Prior to joining D Young & Co he was a research associate at Manchester University, though based at the Deutsches Elektronen-Synchrotron (DESY), in Hamburg, Germany, where his research included searches for exotic particle production in positron-proton and electron-proton collisions.

Today, he is primarily focussed on the preparation of new patent applications and guiding these through the examination process before patent offices around the world. His clients range from SMEs, to academic and research institutions, to global multinationals. A particular passion is sharing knowledge of IP in all its guises with individuals and smaller corporate entities, such that it can enhance and support their technological and commercial growth journeys.

Wednesday 24th January10:30-12:00 at Talbot Campus

To book onto this session, please complete the booking form 

For any queries regarding the content of this session, please contact lhutchins@bournemouth.ac.uk, for any other information please email RKEDF @ RKE Development Framework

Discovering Causal Relations and Equations from Data

Discovering equations, laws, or invariant principles underpins scientific and technical advancement. Robust model discovery has typically emerged from observing the world and, when possible, performing interventions to falsify models.

Recently, data-driven approaches like classic and deep machine learning are evolving traditional equation discovery methods. These new tools can provide unprecedented advances in computer science, neuroscience, physics, philosophy, and many applied areas.

We have just published a new study discussing concepts and methods on causal and equation discovery, outlining current challenges and promising future lines of research. The work also showcases comprehensive case studies in diverse scientific areas ranging from earth and environmental science to neuroscience.

Our tenet is that discovering fundamental laws and causal relations by observing natural phenomena is revolutionised with the coalescence of observational data and simulations, modern machine learning algorithms and domain knowledge. Exciting times are ahead with many challenges and opportunities to improve our understanding of complex systems.

This study is a collaborative work between eight universities in Europe and the United States (Valencia, Berlin, Tübingen, Jena, Stockholm, New York, and Bournemouth Universities).

Camps-Valls, G., Gerhardus, A., Ninad, U., Varando, G., Martius, G., Balaguer-Ballester, E., Vinuesa, R., Diaz, E., Zanna, L. and Runge, J., 2023. Discovering causal relations and equations from data. Physics Reports, 1044, 1-68 (Impact Factor=30).