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.

A Hybrid Imperialist Approach in Solving University Timetabling Problems. Information Sciences. Vol. 283, 1-21

Generating timetables for an institution is a challenging and time consuming task due to different demands on the overall structure of the timetable. In this paper, a new hybrid method which is a combination of a great deluge and artificial bee colony algorithm (INMGD-ABC) is proposed to address the university timetabling problem. Artificial bee colony algorithm (ABC) is a population based method that has been introduced in recent years and has proven successful in solving various optimization problems effectively. However, as with many search based approaches, there exist weaknesses in the exploration and exploitation abilities which tend to induce slow convergence of the overall search process. Therefore, hybridization is proposed to compensate for the identified weaknesses of the ABC. Also, inspired from imperialist competitive algorithms, an assimilation policy is implemented in order to improve the global exploration ability of the ABC algorithm. In addition, Nelder–Mead simplex search method is incorporated within the great deluge algorithm (NMGD) with the aim of enhancing the exploitation ability of the hybrid method in fine-tuning the problem search region. The proposed method is tested on two differing benchmark datasets i.e. examination and course timetabling datasets. A statistical analysis t-test has been conducted and shows the performance of the proposed approach as significantly better than basic ABC algorithm. Finally, the experimental results are compared against state-of-the art methods in the literature, with results obtained that are competitive and in certain cases achieving some of the current best results to those in the literature.

Back to the city: University-led Regeneration in Belfast

This paper explores the changing relationship between knowledge creation and city centre spaces, focusing on the relocation of Higher Education Institutions (HEIs) into urban centres and the ensuing economic, social and cultural regeneration. Using the Ulster University's relocation to Belfast city centre, the paper highlights the opportunities a new anchor institution can offer a deprived inner city community. This case study draws attention to the drivers of university relocation and the untapped potential for regeneration in city centres such as Belfast, Northern Ireland. The paper looks to the future and questions whether large-scale city projects, such as the university relocation, can truly form connections with their new neighbouring inner city communities while contending with the mounting pressure of reduced government resources.

Queen's University Belfast, APC Expenditure Report 2015

The Library’s Open Access Team has submitted, on behalf of the University, an Article Processing Charges (APCs) expenditure report to Jisc Collections for 2015. In 2015 Queen’s University Belfast had a total APC spend of £138,039 which enabled 123 articles by Queen’s authors to be made open access via the gold route. This is a significant increase in both APC spend and the number of articles made open access in comparison to 2014.