Land wars in India: Contestations, social forces and evolving neoliberal urban transformation

Land wars in India: Contestations, social forces and evolving neoliberal urban transformation
The recent incidents of ‘land wars’ in India have highlighted the contradictions and challenges of the neoliberal urban transformation through a range of issues across governance, equity and empowerment in the development agenda. Simply put, a strong top down approach and corporate-political nexus have determined the modality of land acquisition, compensation and ultimately the nature of its consumption leaving out majority urban poor from its benefits. The paper focuses on the concept of neoliberalism as a modality of urban governance and emergence of the grassroots activism as a countermagnate to neoliberalist hegemony by examining the inequity and marginalization that embody these ‘land wars’ in India and the forms of resistance from the grassroots - their capacity, relationship and modus operandi. Emerging lessons suggest the potential for advancing governance from the bottoms up leading to more equitable distribution of resources. It is however argued that there is a need for a stronger conception of the ‘grassroots’ in both epistemological and empirical context. In particular, the preconditions for the ‘grassroots organisations’ to foster and play a more effective role requires a more inclusive notion of ‘institutionality and plurality’ within the current political economic context. The empirical focus of the paper is ‘land wars’ observed in Kolkata, West Bengal, however references to other examples across the country have also been made.

CSFinder: A Cold-Start Friend Finder in Large-Scale Social Networks

Recommending users for a new social network user to follow is a topic of interest at present. The existing approaches rely on using various types of information about the new user to determine recommended users who have similar interests to the new user. However, this presents a problem when a new user joins a social network, who is yet to have any interaction on the social network. In this paper we present a particular type of conversational recommendation approach, critiquing-based recommendation, to solve the cold start problem. We present a critiquing-based recommendation system, called CSFinder, to recommend users for a new user to follow. A traditional critiquing-based recommendation system allows a user to critique a feature of a recommended item at a time and gradually leads the user to the target recommendation. However this may require a lengthy recommendation session. CSFinder aims to reduce the session length by taking a case-based reasoning approach. It selects relevant recommendation sessions of past users that match the recommendation session of the current user to shortcut the current recommendation session. It selects relevant recommendation sessions from a case base that contains the successful recommendation sessions of past users. A past recommendation session can be selected if it contains recommended items and critiques that sufficiently overlap with the ones in the current session. Our experimental results show that CSFinder has significantly shorter sessions than the ones of an Incremental Critiquing system, which is a baseline critiquing-based recommendation system.

Adaptive utilitarianism, social enterprises and urban regeneration

Social enterprises have been placed at the centre of Big Society politics and an emphasis on the local as a site for experimentation and service delivery. Nationally, this has been supported by legislation in community transfer and procurement, social finance and new intermediaries to strengthen skills and loan readiness. This paper examines the role of social enterprises involved in urban development in Northern Ireland and highlights the multiple ethics, legitimation strategies and modalities that are necessary for sustainable forms of progressive regeneration. The paper concludes by stressing the possibilities of a more independent and reformist social economy and how this offers some practical alternatives to the enthusiasm for neoliberal policies in the local state.

Integrated Optimal Power Flow for Distribution Networks in Local and Urban Scales

This paper develops an integrated optimal power flow (OPF) tool for distribution networks in two spatial scales. In the local scale, the distribution network, the natural gas network, and the heat system are coordinated as a microgrid. In the urban scale, the impact of natural gas network is considered as constraints for the distribution network operation. The proposed approach incorporates unbalance three-phase electrical systems, natural gas systems, and combined cooling, heating, and power systems. The interactions among the above three energy systems are described by energy hub model combined with components capacity constraints. In order to efficiently accommodate the nonlinear constraint optimization problem, particle swarm optimization algorithm is employed to set the control variables in the OPF problem. Numerical studies indicate that by using the OPF method, the distribution network can be economically operated. Also, the tie-line power can be effectively managed.