The Radical Relationality of Complex Partnerships: Community-Member Experiences in Critical Community-Based Learning

Through a radical relationality within the social-ecological systems that sustain us, critical community-based learning (CBL) in higher education offers a praxis for engaging the demanding pedagogical and community challenges we face. When CBL is implemented as both a critical and sustainability pedagogy, as a strategy for social change, the relationships created by CBL partnerships have the potential to generate transformational outcomes for all partnership agents. Using a critical complexity theoretical framework, a bricolage of complexity science and critical theory, this critical qualitative study sought to understand the systemic patterns and behaviors of a community-based learning partnership by elevating community-member voices. Situated within a CBL partnership engaged with the Capstone Program at Portland State University, this study\u27s methods included dialogical engagement with CBL community-members, university Capstone students, and partnership leaders in reflexive focus groups, and ethnographic participant-observation. The results revealed the primacy and centrality of relationships in the CBL partnership. Further, three emergent outcomes for partnership agents were generated by partnership relationality, including: emergent identity development, ethical agency, and a dynamism of belonging and alienation. These emergent agent outcomes across all stakeholder groups were influenced by four key factors: the dynamism of the partnership system, place as a partnership agent, information sharing, the cultivation of relational awareness. The strategies suggested by this study’s findings attempt to (re)orient the field of community-based learning towards the complexity of our CBL partnerships, encouraging a radical relational paradigm shift in the partnership work happening between universities and their communities

Integal futures based on the paradigm approach

The study discusses the interpretation of integral futures in the context of paradigm. The dynamic matrix model of futures paradigm has been developed for carrying out meta-analysis of futures. As a result of meta-analysis integral futures and its new paradigms are defined by way of reconstructing futures paradigm history as responses to changing societal needs and through the outcomes of dynamic and comparative analysis of futures paradigms. The study sets the argument that integral futures: a) is entering a new phase in development of futures that responses to societal demands for sustainability, democratic participation and continuous knowledge production and integration, b) it is the phase of cooperation building between theoretical and practical futures, c) it is the complementary development of co-evolutionary and participatory paradigms, d) it unfolds further research perspectives for futures

Big-Data-Driven Materials Science and its FAIR Data Infrastructure

This chapter addresses the forth paradigm of materials research -- big-data driven materials science. Its concepts and state-of-the-art are described, and its challenges and chances are discussed. For furthering the field, Open Data and an all-embracing sharing, an efficient data infrastructure, and the rich ecosystem of computer codes used in the community are of critical importance. For shaping this forth paradigm and contributing to the development or discovery of improved and novel materials, data must be what is now called FAIR -- Findable, Accessible, Interoperable and Re-purposable/Re-usable. This sets the stage for advances of methods from artificial intelligence that operate on large data sets to find trends and patterns that cannot be obtained from individual calculations and not even directly from high-throughput studies. Recent progress is reviewed and demonstrated, and the chapter is concluded by a forward-looking perspective, addressing important not yet solved challenges.Comment: submitted to the Handbook of Materials Modeling (eds. S. Yip and W. Andreoni), Springer 2018/201

The underlying social dynamics of paradigm shifts

We develop here a multi-agent model of the creation of knowledge (scientific progress or technological evolution) within a community of researchers devoted to such endeavors. In the proposed model, agents learn in a physical-technological landscape, and weight is attached to both individual search and social influence. We find that the combination of these two forces together with random experimentation can account for both i) marginal change, that is, periods of normal science or refinements on the performance of a given technology (and in which the community stays in the neighborhood of the current paradigm); and ii) radical change, which takes the form of scientific paradigm shifts (or discontinuities in the structure of performance of a technology) that is observed as a swift migration of the knowledge community towards the new and superior paradigm. The efficiency of the search process is heavily dependent on the weight that agents posit on social influence. The occurrence of a paradigm shift becomes more likely when each member of the community attaches a small but positive weight to the experience of his/her peers. For this parameter region, nevertheless, a conservative force is exerted by the representatives of the current paradigm. However, social influence is not strong enough to seriously hamper individual discovery, and can act so as to empower successful individual pioneers who have conquered the new and superior paradigm.Fil: Rodriguez Sickert, Carlos. Universidad del Desarrollo; ChileFil: Cosmelli, Diego. Pontificia Universidad Católica de Chile; ChileFil: Claro, Francisco. Pontificia Universidad Católica de Chile; ChileFil: Fuentes, Miguel Angel. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad San Sebastián; Chil