On the conservatism of post-Jungian criticism: competing concepts of the symbol in Freud, Jung and Walter Benjamin

The renewed interest in analytical psychology by academics working in the humanities has led to the emergence of a post-Jungian field of cultural criticism, at the theoretical core of which stands Jung's theory of symbolism. This article examines the centrality of symbolism to both Freud and Jung's psychology and explains how the differing concepts of the symbol lead to their divergent theories of interpretation in psychology and art criticism. Acknowledging the advantages of Jung's more expansive account of the symbol, it argues that Walter Benjamin's critical engagement with Jung nonetheless provides a useful correction to the problematic conservatism inherent to his concept of the symbol and its contemporary application.

Enabling Scientific Workflow Sharing through Coarse-Grained Interoperability

E-scientists want to run their scientific experiments on Distributed Computing Infrastructures (DCI) to be able to access large pools of resources and services. To run experiments on these infrastructures requires specific expertise that e-scientists may not have. Workflows can hide resources and services as a virtualization layer providing a user interface that e-scientists can use. There are many workflow systems used by research communities but they are not interoperable. To learn a workflow system and create workflows in this workflow system may require significant efforts from e-scientists. Considering these efforts it is not reasonable to expect that research communities will learn new workflow systems if they want to run workflows developed in other workflow systems. The solution is to create workflow interoperability solutions to allow workflow sharing. The FP7 Sharing Interoperable Workflow for Large-Scale Scientific Simulation on Available DCIs (SHIWA) project developed two interoperability solutions to support workflow sharing: Coarse-Grained Interoperability (CGI) and Fine-Grained Interoperability (FGI). The project created the SHIWA Simulation Platform (SSP) to implement the Coarse-Grained Interoperability approach as a production-level service for research communities. The paper describes the CGI approach and how it enables sharing and combining existing workflows into complex applications and run them on Distributed Computing Infrastructures. The paper also outlines the architecture, components and usage scenarios of the simulation platform.