Profiling UK University Spin-outs

This report presents the results of a comprehensive survey of UK university spin-out businesses.
In an effort to enhance our understanding of this sector, a database of 1044 active USOs was compiled from individual university records and internet searches, and matched to a published list of UK university spin-outs.Telephone interviews were conducted with USOs and a final sample of 350 was achieved. Non-response bias was tested for and weights were constructed to ensure that the findings were representative of the UK population of USOs.

Additionality of Incubator Support on Networks of University Spin-Out Firms

The formation rate of university spin-out firms has increased markedly over the past decade. While this is seen as an important channel for the commercialisation of academic research, concerns have centred around high failure rates and no-to-low growth among those which survive compared to other new technology based firms. Universities have responded to this by investing in incubators to assist spin-outs to overcome their liability of newness. Yet how effective are incubators in supporting these firms? Here we examine this in terms of the structural networks that spin-out firms form, the role of the incubator in this and the effect of this on the spin-out process.

Civic engagement in a divided society: the role of Queen’s University Belfast in Northern Ireland

The purpose of this paper is to examine the role of a university in a society emerging from decades of political violence and to show ways in which public engagement can help promote democratic practice and contribute to the strengthening of peace. Our understanding of the concept of public engagement follows the UK National Coordinating Centre for Public Engagement definition:

'Public engagement describes the myriad of ways in which the activity and benefits of higher education and research can be shared with the public. Engagement is by definition a two-way process, involving interaction and listening, with the goal of generating mutual benefit .'

The case study is provided by the example of Queen's University Belfast. We will begin by examining some of the history and context of the university, then discuss the political and social context of Northern Ireland, before going on to examine some of the publicly engaged work being carried out by Queen's and consider how this might be taken forward.

Community engagement in Belfast: Queen's University and the Sandy Row community

This chapter examines a case study of a university-community civic engagement project involving a homework club in an area of significant educational and social disadvantage. The chapter gives voice to community leaders who talk about the role of the initiative and their relationship with the university.

Performing in the face of the academy: challenges for a creative practitioner within a university

This piece of writing is an excerpt from a keynote talk given at the Symposium on Artistic Research in Borås, Sweden, on 28 November 2014.

Report from the 2nd Summer School in Computational Biology organized by the Queen's University of Belfast

In this paper, we present a meeting report for the 2nd Summer School in Computational Biology organized by the Queen's University of Belfast. We describe the organization of the summer school, its underlying concept and student feedback we received after the completion of the summer school.

Queen's University Belfast, RCUK Open Access Compliance Report 2014/2015

Queen's University Belfast has submitted its open access compliance report to the RCUK for 2014/2015. Queen's receives an annual open access block grant from RCUK. The funds are made available to support universities in meeting the requirements of the RCUK open access policy, in particular meeting the cost of article processing charges (APC) to make articles open access through the publisher.

A Hybrid Swarm Based Approach in Addressing University Timetabling Problems

This paper is concerned with the application of an automated hybrid approach in addressing the university timetabling problem. The approach described is based on the nature-inspired artificial bee colony (ABC) algorithm. An ABC algorithm is a biologically-inspired optimization approach, which has been widely implemented in solving a range of optimization problems in recent years such as job shop scheduling and machine timetabling problems. Although the approach has proven to be robust across a range of problems, it is acknowledged within the literature that there currently exist a number of inefficiencies regarding the exploration and exploitation abilities. These inefficiencies can often lead to a slow convergence speed within the search process. Hence, this paper introduces a variant of the algorithm which utilizes a global best model inspired from particle swarm optimization to enhance the global exploration ability while hybridizing with the great deluge (GD) algorithm in order to improve the local exploitation ability. Using this approach, an effective balance between exploration and exploitation is attained. In addition, a traditional local search approach is incorporated within the GD algorithm with the aim of further enhancing the performance of the overall hybrid method. To evaluate the performance of the proposed approach, two diverse university timetabling datasets are investigated, i.e., Carter's examination timetabling and Socha course timetabling datasets. It should be noted that both problems have differing complexity and different solution landscapes. Experimental results demonstrate that the proposed method is capable of producing high quality solutions across both these benchmark problems, showing a good degree of generality in the approach. Moreover, the proposed method produces best results on some instances as compared with other approaches presented in the literature.