ACSPRI 2014 4th International Social Science Methodology Conference Report

Abstract

This report summarises themes of interest to the Technology Forecasting and Futures (TFF) Group of JOAD presented at the ACSPRI 4th International Social Science Methodology conference. These themes include causal inferences in quialitative research, the role of theory and interpretation in analysing Big Data, the role of paradata in increasing data quality, the Total Survey Error framework, multi-modal on-line surveying, quality frameworks for assessing qualitative research, and the dynamics of manual vs automated data analysis. Research findings related to these themes are contextualised for the TFF S&T forecasting methodology leading to series of recommendations for improving the S&T forecasting practice.

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Document Details

Document Type
Technical Report
Publication Date
Apr 01, 2015
Accession Number
ADA623260

Entities

People

  • Elena Mazourenko

Organizations

  • Defence Science and Technology Group

Tags

Communities of Interest

  • Engineered Resilient Systems

DTIC Thesaurus Topics

  • Accuracy
  • Best Practices
  • Big Data
  • Community Of Practice
  • Computer Programming
  • Computer Programs
  • Computers
  • Data Analysis
  • Data Sets
  • Information Science
  • Internet
  • Mobile Devices
  • Psychology
  • Smartphones
  • Social Sciences
  • Symposia
  • Technology Forecasting

Readers

  • Academic Conference Management
  • Canine Service Warrior Training Program for Wounded Warriors in the Veterinary Industry, Supported by Donors.
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.

Technology Areas

  • AI & ML