The ESPRC Centre for Doctoral Training in Renewable Energy Northeast Universities Plus (ReNU+) is a transformative programme that will train a new generation of Doctoral Carbon Champions (DCCs) who are characterised by scientific and engineering excellence and capable of interdisciplinary systemic thinking to accelerate Net Zero. The outcome from ReNU+ will be that DCCs will meet critical needs in high-skill employment across industry, policy, education and government and convert key challenges in resilience and equity into economic opportunities for the United Kingdom. This will be achieved through a professionally accredited training programme in a thriving environment of research excellence led by Northumbria, Newcastle and Durham universities. The 2023-2035 energy landscape sets a compelling context for ReNU+ and in particular, the need for future leaders in this space in the United Kingdom. Locally generated renewable energy will provide the UK with increased energy security and critically important additions in electricity capacity to meet domestic and industrial demands. This is only one piece of the landscape however, which also includes sustainability (e.g. critical materials supply), resilience (e.g. climate change mitigation) and an equitable transition to Net Zero, which offers both economic and health benefits. The absorptive capacity for ReNU+ DCCs is partly evidenced by the forecast of 694,000 new UK jobs in the low carbon and renewable energy economy by 2030 (source: UK Local Government Association). The ReNU+ training programme has a core focus on developing key skills that facilitate understanding of and engagement with the wider Net Zero system including investment, regulation and end-user engagement. It will become a reference for high-skill training in Net Zero that redefines the role of scientists and engineers as critical catalysts for decarbonisation who deliver impact well beyond technology. ReNU+ identifies a critical link between equality, diversity and inclusivity and decarbonisation and includes key innovations to leverage this link. Consequently, DCCs will also develop societal and citizenship values as they become living examples of the future workforces to enable an equitable and sustainable transition to Net Zero. This approach has been validated by our partners who have co-designed and will co-deliver the ReNU+ training programme. This support includes national and local Government, multinational companies, small-to-medium enterprises and charity organisations.

Powered by data, Industrial Digital Technologies (IDTs) such as artificial intelligence and autonomous robots, can be used to improve all aspects of manufacturing and supply of products along supply chains to the customer. Many companies are embracing these technologies but uptake within the pharmaceutical sector has not been as rapid. The Medicines Made Smarter Data Centre (MMSDC) looks to address the key challenges which are slowing digitalisation, and adoption of IDTs that can transform processes to deliver medicines tailored to patient needs. Work will be carried out across five integrated platforms designed by academic and industrial researcher teams. These are: 1) The Data Platform, 2) Autonomous MicroScale Manufacturing Platform, 3) Digital Quality Control Platform, 4) Adaptive Digital Supply Platform, and 5) The MMSDC Network & Skills Platform. Platform 1 addresses one of the sector's core digitalisation challenges - a lack of large data sets and ways to access such data. The MMSDC data platform will store and analyse data from across the MMSDC project, making it accessible, searchable and reusable for the medicines manufacturing community. New approaches for ensuring consistently high-quality data, such as good practice guides and standards, will be developed alongside data science activities which will identify what the most important data are and how best to use them with IDTs in practice. Platform 2 will accelerate development of medicine products and manufacturing processes by creating agile, small-scale production facilities that rapidly generate large data sets and drive research. Robotic technologies will be assembled to create a unique small-scale medicine manufacturing and testing system to select drug formulations and processes to produce stable products with the desired in-vitro performance. Integrating several IDTs will accelerate drug product manufacture, significantly reducing experiments and dramatically reducing development time, raw materials and associated costs. Platform 3 focusses on the digitalisation of Quality Control (QC) aspects of medicines development which is important for ensuring a medicine's compliance with regulatory standards and patient safety requirements. Currently, QC checks are carried out after a process has been completed possibly spotting problems after they have occurred. This approach is inefficient, fragmented, costly (>20% of total production costs) and time consuming. The digital QC platform will research how to transform QC by utilising rich data from IDTs to confirm in real time product and process compliance. Platform 4 will generate new understanding on future supply chain needs of medicines to support adoption of adaptive digital supply chains for patient-centric supply. IDTs make smaller scale, autonomous factory concepts viable that support more flexible and distributed manufacture and supply. Supply flexibility and agility extends to scale, product variety, and shorter lead-times (from months to days) offering a responsive patient-centric or rapid replenishment operating model. Finally, technology developments closer to the patient, such as diagnostics provide visibility on patient specific needs. Platform 5 will establish the MMSDC Network & Skills Platform. This Network will lead engagement and collaboration across key stakeholder groups involved in medicines manufacturing and investments. The Network brings together the IDT-using community and other relevant academic and industrial groups to share developments across pharmaceuticals and broader digital manufacturing sectors ensuring cross-sector diffusion of MMSDC research. Existing strategic networks will support MMSDC and act as gateways for IDT dissemination and uptake. The lack of appropriate skills in the workforce has been highlighted as a key barrier to IDT adoption. An MMSDC priority is to identify skills needs and with partners develop and deliver training to over 100 users