Self Organization and Self Avoiding Limit Cycles

A simple periodically driven system displaying rich behavior is introduced and studied. The system self-organizes into a mosaic of static ordered regions with three possible patterns, which are threaded by one-dimensional paths on which a small number of mobile particles travel. These trajectories are self-avoiding and non-intersecting, and their relationship to self-avoiding random walks is explored. Near $\rho=0.5$ the distribution of path lengths becomes power-law like up to some cutoff length, suggesting a possible critical state

Creative Placemaking: Building Partnerships to Create Change

Arts, artists, and creative strategies can be critical vehicles for planning to achieve social, economic, and community goals. Creative placemaking is one type of arts-led planning that incorporates both stakeholder participation and community goals. Yet, questions exist around who participates in the creative placemaking process and to what end. Our study discusses a case where a state-sponsored workshop brings people from diverse backgrounds together to facilitate community development and engagement through creative placemaking. In particular, the event discussed in this study highlights how a one-shot intervention can reshape perceptions of creative placemaking held by planners, non-planners, artists, and non-artists. Our study also shows that while pre-workshop participants tended to identify resource-based challenges, post-workshop participants focused more on initiating collaborations and being responsive to community needs. The different attitudes before and after the state-sponsored workshop demonstrate the importance of facilitating stakeholder understanding and engagement for successful creative placemaking

Revenue Embeddedness and Competing Institutional Logics: How Nonprofit Leaders Connect Earned Revenue to Mission and Organizational Identity

The increasing reliance on earned revenue displayed by nonprofits in the US has raised mission-related organizational identity concerns. However, the effect of a market-driven activity on mission-driven service may vary based on revenue embeddedness: the activity’s connection to the organization’s mission. This study draws on the competing logics of isomorphism and resource dependence to examine how the pursuit of earned revenue affects the organization’s perception of its mission and projection of identity. The authors examine how leaders use language to connect market to mission, presents additional dimensions of embeddedness, and offers propositions for future research

An Efficient Search Strategy for Aggregation and Discretization of Attributes of Bayesian Networks Using Minimum Description Length

Bayesian networks are convenient graphical expressions for high dimensional probability distributions representing complex relationships between a large number of random variables. They have been employed extensively in areas such as bioinformatics, artificial intelligence, diagnosis, and risk management. The recovery of the structure of a network from data is of prime importance for the purposes of modeling, analysis, and prediction. Most recovery algorithms in the literature assume either discrete of continuous but Gaussian data. For general continuous data, discretization is usually employed but often destroys the very structure one is out to recover. Friedman and Goldszmidt suggest an approach based on the minimum description length principle that chooses a discretization which preserves the information in the original data set, however it is one which is difficult, if not impossible, to implement for even moderately sized networks. In this paper we provide an extremely efficient search strategy which allows one to use the Friedman and Goldszmidt discretization in practice