Assessing Expectation and Expertise: Approaches to a Collaborative Study of Experts, 2018 application for Horizon 2020 Marie Curie Innovative Training Network (ITN) grant.

Our project application creates a cohort of 15 Early Stage Researchers involved in academic-industry collaboration through industry secondments, workshops, and educational courses in the field of expectation and expertise. Should you be interested in collaboration please feel free to contact us. Proposal deadline is January 2018. 
Project Abstract
New spaces of market shaping phenomena offer potential sites for examining how complex social configurations are perpetually being constructed through the conjoined assemblies of circulating material entities and competent agents engaged in valuation practices. Our proposed research offers critical ethnographic approaches for studying these new interactions between risk and modernization as they relate to the production and dissemination of expert forecasting and technologies, as well as institutions, discourse and visualization, and the transmission of expert knowledge.

Researching experts is complicated because institutions are often subject to proprietary stakeholder relationships. Thus, we will engage in innovative forms for establishing protocols in data storage, sharing, and curation, building a framework to support open science for future researchers while protecting confidentiality for proprietary stakeholders. 

Our program will focus on the ethnographic research cycle as it relates to the organization of scientific, consultant, and financial work; the production, commodification and dissemination of expert forecasting and technologies; relationships of expertise to institutions, agenda setting, discourse and visualization; and transmission of expert knowledge, including the social life of ideas that define what counts as knowledge. For analytical purposes, we have separated these problems into three categories: Assembling, Mobilizing, and Performing.

(1) Assembling: data collection drawing on participant observation and apprenticeship methods with the aim of formulating an empirical characterization of internal practices of various forms of expert work;

(2) Mobilizing: artefactual data collection consisting of gathering material and digital forms of expert knowledge and their deployment. Artefactual data are the end products of the internal practices of assembling, and these data represent integrated packages that capture expert activity of transforming information into knowledge purportedly exhibiting strategic value;

(3) Performing: observation studies at events whereby expert work creates communities of interpretation around knowledge, placing emphasis on how different features of research and tools produced by expertise combine with real time interaction to define what counts as knowledge;

A fourth categroy, Curating will consider approaches to data management that aspire to create novel catalogues as well as forms of public attention and cross disciplinary access to the above data.

Head of Research Group
Organizational Anthropology
Carla Dahl-Jørgensen, Professor
NTNU, Department of Social Anthropology

Project Leader
Arthur Mason, Associate Professor
NTNU, Department of Social Anthropology

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