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Welcome to Durham Research Online (DRO)

Durham Research Online (DRO) is the University’s Open Access repository for publications. The primary purpose of DRO is to provide open access to publications authored by staff and students affiliated with Durham University.

See our Policies page for further information.



Latest Additions

Get Off My Land! (2023)
Journal Article
Mukwiri, J. (in press). Get Off My Land!. The Conveyancer and Property Lawyer,

This article argues that whilst the Agricultural Holdings Act 1986 had good intention in giving lifetime security of tenure to tenants for the object of food production, it has since had unintended results of placing tenants in a privileged position... Read More about Get Off My Land!.

Assessing innovation spillovers from publicly funded R&D and innovation support: Evidence from the UK (2023)
Journal Article
Becker, B., Roper, S., & Vanino, E. (2023). Assessing innovation spillovers from publicly funded R&D and innovation support: Evidence from the UK. Technovation, 128, Article 102860. https://doi.org/10.1016/j.technovation.2023.102860

Knowledge – embodied, explicit, and tacit - drives innovation. Research and development and other knowledge creation activities play a key role, as does the type of external knowledge sourcing central to models of open innovation. As knowledge is a s... Read More about Assessing innovation spillovers from publicly funded R&D and innovation support: Evidence from the UK.

Exploiting Geometric Constraints in Multi-Agent Pathfinding (2023)
Conference Proceeding
Atzmon, D., Bernardini, S., Fagnani, F., & Fairbairn, D. (2023). Exploiting Geometric Constraints in Multi-Agent Pathfinding. In S. Koenig, R. Stern, & M. Vallati (Eds.), Proceedings of the Thirty-Third International Conference on Automated Planning and Scheduling (17-25). https://doi.org/10.1609/icaps.v33i1.27174

In tackling the multi-agent pathfinding problem (MAPF), we study a specific class of paths that are constructed by taking the agents’ shortest paths from the start to the goal locations and adding safe delays at the beginning of the paths, which guar... Read More about Exploiting Geometric Constraints in Multi-Agent Pathfinding.