Igniting the Spark: Community Foundation Youth Engagement Models, YOUTHadelphia

YOUTHadelphia is a unique youth philanthropy model, with a defined focus on mentoring among the cohort of youth, centered around the fact that newer youth are mentored by returning youth committee members. Meeting in a board room can feel quite corporate, so each cohort sets a youth-friendly time and environment, and holds a dedicated group session on race and class issues, before starting the grant process. This has encouraged thoughtful conversations among youth across backgrounds

A Behavioral Foundation for Models of Evolutionary Drift

Binmore and Samuelson (1999) have shown that perturbations (drift) are crucial to study the stability properties of Nash equilibria. We contribute to this literature by providing a behavioural foundation for models of evolutionary drift. In particular, this article introduces a microeconomic model of drift based on the similarity theory developed by Tversky (1977), Kahneman and Tversky (1979) and Rubinstein (1988),(1998). An innovation with respect to those works is that we deal with similarity relations that are derived from the perception that each agent has about how well he is playing the game. In addition, the similarity relations are adapted to a dynamic setting. We obtain different models of drift depending on how we model the agent´s assessment of his behaviour in the game. The examples of the ultimatum game and the chain-store game are used to show the conditions for each model to stabilize elements in the component of Nash equilibria that are not subgame- perfect. It is also shown how some models approximate the laboratory data about those games while others match the data.similarity relations, drift, Nash equilibrium, selection dynamics, learning

A Theoretical Foundation for Count Data Models

The paper develops a theoretical foundation for using count data models in travel cost analysis. Two micro models are developed: a restricted choice model and a repeated discrete choice model. We show that both models lead to identical welfare measures.

On the Dynamic Foundation of Evolutionary Stability in Continuous Models

We show in this paper that none of the existing static evolutionary stability concepts (ESS, CSS, uninvadability, NIS) is sufficient to guarantee dynamic stability in the weak topology with respect to standard evolutionary dynamics if the strategy space is continuous. We propose a new concept, evolutionary robustness, which is stronger than the previous concepts. Evolutionary robustness ensures dynamic stability for replicator dynamics in doubly symmetric games.replicator dynamics, evolutionary stability, ESS, CSS

Promoting Public and Private Reinvestment in Cultural Exchange-Based Diplomacy

Makes the case for renewed investment in public diplomacy and cultural exchange. Analyzes trends in government, foundation, and other private support for cultural diplomacy, the benefits and obstacles, and models of engagement. Details recommendations

A formal foundation for ontology alignment interaction models

Ontology alignment foundations are hard to find in the literature. The abstract nature of the topic and the diverse means of practice makes it difficult to capture it in a universal formal foundation. We argue that such a lack of formality hinders further development and convergence of practices, and in particular, prevents us from achieving greater levels of automation. In this article we present a formal foundation for ontology alignment that is based on interaction models between heterogeneous agents on the Semantic Web. We use the mathematical notion of information flow in a distributed system to ground our three hypotheses of enabling semantic interoperability and we use a motivating example throughout the article: how to progressively align two ontologies of research quality assessment through meaning coordination. We conclude the article with the presentation---in an executable specification language---of such an ontology-alignment interaction model

Final Report from the Models for Change Evaluation

Note: This evaluation is accompanied by an evaluation of the National Campaign for this initiative as well as introduction to the evaluation effort by MacArthur's President, Julia Stasch, and a response to the evaluation from the program team. Access these related materials here (https://www.macfound.org/press/grantee-publications/evaluation-models-change-initiative).Models for Change is an initiative of The John D. and Catherine T. MacArthur Foundationto accelerate juvenile justice reforms and promote fairer, more effective, and more developmentally appropriate juvenile justice systems throughout the United States. Between 2004 and 2014, the Foundation invested more than $121 million in the initiative, intending to create sustainable and replicable models of systems reform.In June 2013, the Foundation partnered with Mathematica Policy Research and the University of Maryland to design and conduct a retrospective evaluation of Models for Change. The evaluation focused on the core state strategy, the action network strategy, and the national context in which Models for Change played out. This report is a digest and synthesis of several technical reports prepared as part of the evaluation

On the policy function in continuos time economic models

In this paper, I consider a general class of continuous-time economic models with unbounded horizon. I study the sets of conditions under which the policy function is continuous, Lipschitz continuous, and Cl differentiable. 1 also single out certain postulates which may prevent higher-order differentiability. The analysis provides, therefore, a fmn foundation to the use of dynamic programming methods in continuous time models with unbounded horizo