Introduction: Conflict Resolution and Social Justice

A daunting obstacle to clarity in formulating ideas about conflict resolution and social justice is the fact that each of these terms has multiple meanings. There is widespread recognition that social justice is a multivalent phrase. Commentators since Aristotle have written of distributive, restitutive, retributive, procedural, and relational justice, and each of these types has been further subdivided to reflect differences in social philosophy and in common usage. Less well recognized is the ambiguity of conflict resolution, a term that refers to a mélange of theories and practices that, although interrelated, do not constitute a cleanly demarcated and coherently defined whole. To name a few large subdivisions in this evolving field, we are accustomed to speak of alternative dispute resolution, principled negotiation, relational transformation, public dispute resolution, analytical conflict resolution, and individual or communal reconciliation processes

Responsibility for Peacemaking in the Context of Structural Violence

“They cry Peace, Peace, but there is no peace.” Jeremiah’s complaint resounds loudly in a period in which many of the most intractable social conflicts are products not just of prejudice, malice, or misunderstanding, but also of the normal operations of structurally violent systems. This essay begins by outlining and modifying the theory of structural violence originally presented by Johan Galtung. It goes on to describe several types of conflict-generating systems, including the capitalist economy that produces crime and mass incarceration and the neo-empire that produces terrorism and the “war on terror.” Finally, it inquires into the responsibility of would-be conflict resolvers for system transformation, stressing the need for new forms of conflict resolution theory and practice, and suggesting several processes that might help to satisfy this need

Role for TGF-beta superfamily signaling in telencephalic GABAergic neuron development.

Signaling mechanisms mediated by the Transforming Growth Factor-beta (TGF-beta) superfamily regulate a variety of developmental processes. Here we show that components of both bone morphogenetic protein/growth differentiation factor and TGF-beta/activin/Nodal branches of TGF-beta superfamily signaling are expressed in the developing subpallium. Furthermore, Smad proteins, transcriptional effectors of TGF-beta signaling, are co-expressed and physically interact in the basal ganglia with Dlx homeodomain transcription factors, which are critical regulators of the differentiation, migration and survival of telencephalic GABAergic neurons. We also show that Dlx and Smad proteins localize to promoters/enhancers of a number of common telencephalic genes in vivo and that Smad proteins co-activate transcription with Dlx family members, except with certain mutated human DLX proteins identified in autistic individuals. In agreement with these observations, expression of dominant-negative Smads in the developing basal ganglia phenocopies the cell migration defects observed in Dlx1/2-deficient mice. Together, these results suggest that TGF-beta superfamily signaling plays a role in telencephalic GABAergic neuron development through functional interactions with Dlx transcription factors. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s11689-009-9035-6) contains supplementary material, which is available to authorized users

Methodology for urban rail and construction technology research and development planning

A series of transit system visits, organized by the American Public Transit Association (APTA), was conducted in which the system operators identified the most pressing development needs. These varied by property and were reformulated into a series of potential projects. To assist in the evaluation, a data base useful for estimating the present capital and operating costs of various transit system elements was generated from published data. An evaluation model was developed which considered the rate of deployment of the research and development project, potential benefits, development time and cost. An outline of an evaluation methodology that considered benefits other than capital and operating cost savings was also presented. During the course of the study, five candidate projects were selected for detailed investigation; (1) air comfort systems; (2) solid state auxiliary power conditioners; (3) door systems; (4) escalators; and (5) fare collection systems. Application of the evaluation model to these five examples showed the usefulness of modeling deployment rates and indicated a need to increase the scope of the model to quantitatively consider reliability impacts

Conflict Resolution and Distributive Justice: Reflections on the Burton-Laue Debate

Excerpt From its inception, the field of conflict resolution has appealed strongly to practitioners, researchers, and theorists interested in social betterment. Most conflict resolvers would probably agree that their efforts are motivated, at least in part, by the conception of a Good (or at least a Better) Society considerably less violent and contentious, more peaceful and cooperative, than the existing social order. Many would also affirm that in order to reach this goal, the sources of violence and contention, which include cultural norms sanctioning or glorifying violence, invidious and discriminatory isms (racism, sexism, etc.), gross socioeconomic and political inequities, and over-reliance on formal, adversarial decision-making procedures need to be eliminated or, at least, mitigated. And many would assert, in addition, that the methods of making these changes should be consistent, so far as possible, with the aims sought to be achieved: that is, they should rely on nonviolent conflict resolution.

Comparative Monte Carlo Efficiency by Monte Carlo Analysis

We propose a modified power method for computing the subdominant eigenvalue $\lambda_2$ of a matrix or continuous operator. Here we focus on defining simple Monte Carlo methods for its application. The methods presented use random walkers of mixed signs to represent the subdominant eigenfuction. Accordingly, the methods must cancel these signs properly in order to sample this eigenfunction faithfully. We present a simple procedure to solve this sign problem and then test our Monte Carlo methods by computing the $\lambda_2$ of various Markov chain transition matrices. We first computed ${\lambda_2}$ for several one and two dimensional Ising models, which have a discrete phase space, and compared the relative efficiencies of the Metropolis and heat-bath algorithms as a function of temperature and applied magnetic field. Next, we computed $\lambda_2$ for a model of an interacting gas trapped by a harmonic potential, which has a mutidimensional continuous phase space, and studied the efficiency of the Metropolis algorithm as a function of temperature and the maximum allowable step size $\Delta$. Based on the $\lambda_2$ criterion, we found for the Ising models that small lattices appear to give an adequate picture of comparative efficiency and that the heat-bath algorithm is more efficient than the Metropolis algorithm only at low temperatures where both algorithms are inefficient. For the harmonic trap problem, we found that the traditional rule-of-thumb of adjusting $\Delta$ so the Metropolis acceptance rate is around 50% range is often sub-optimal. In general, as a function of temperature or $\Delta$, $\lambda_2$ for this model displayed trends defining optimal efficiency that the acceptance ratio does not. The cases studied also suggested that Monte Carlo simulations for a continuum model are likely more efficient than those for a discretized version of the model.Comment: 23 pages, 8 figure