Expertise in research integration and implementation for tackling complex problems: when is it needed, where can it be found and how can it be strengthened?

Research output: Journal contributionsJournal articlesResearchpeer-review

Authors

  • Gabriele Bammer
  • Michael O’Rourke
  • Deborah O’Connell
  • Linda Neuhauser
  • Gerald Midgley
  • Julie Thompson Klein
  • Nicola J. Grigg
  • Howard Gadlin
  • Ian R. Elsum
  • Marcel Bursztyn
  • Elizabeth A. Fulton
  • Christian Pohl
  • Michael Smithson
  • Matthias Bergmann
  • Jill Jaeger
  • Femke Merkx
  • Mark A. Burgman
  • Daniel H. Walker
  • John Young
  • Hilary Bradbury
  • Lynn Crawford
  • Budi Haryanto
  • Cha aim Pachanee
  • Merritt Polk
  • George P. Richardson

Expertise in research integration and implementation is an essential but often overlooked component of tackling complex societal and environmental problems. We focus on expertise relevant to any complex problem, especially contributory expertise, divided into ‘knowing-that’ and ‘knowing-how.’ We also deal with interactional expertise and the fact that much expertise is tacit. We explore three questions. First, in examining ‘when is expertise in research integration and implementation required?,’ we review tasks essential (a) to developing more comprehensive understandings of complex problems, plus possible ways to address them, and (b) for supporting implementation of those understandings into government policy, community practice, business and social innovation, or other initiatives. Second, in considering ‘where can expertise in research integration and implementation currently be found?,’ we describe three realms: (a) specific approaches, including interdisciplinarity, transdisciplinarity, systems thinking and sustainability science; (b) case-based experience that is independent of these specific approaches; and (c) research examining elements of integration and implementation, specifically considering unknowns and fostering innovation. We highlight examples of expertise in each realm and demonstrate how fragmentation currently precludes clear identification of research integration and implementation expertise. Third, in exploring ‘what is required to strengthen expertise in research integration and implementation?,’ we propose building a knowledge bank. We delve into three key challenges: compiling existing expertise, indexing and organising the expertise to make it widely accessible, and understanding and overcoming the core reasons for the existing fragmentation. A growing knowledge bank of expertise in research integration and implementation on the one hand, and accumulating success in addressing complex societal and environmental problems on the other, will form a virtuous cycle so that each strengthens the other. Building a coalition of researchers and institutions will ensure this expertise and its application are valued and sustained.

Original languageEnglish
Article number5
JournalHumanities & social sciences communications
Volume6
Issue number1
Number of pages16
ISSN2055-1045
DOIs
Publication statusPublished - 13.01.2020

Bibliographical note

Publisher Copyright:
© 2020, The Author(s).

Documents

DOI

Recently viewed

Publications

  1. Set-oriented numerical computation of rotation sets
  2. An MPC for an Aggregate Actuator with a Self-Tuning Feedforward Control
  3. On the Power and Performance of a Doubly Latent Residual Approach to Explain Latent Specific Factors in Multilevel-Bifactor-(S-1) Models
  4. Machine Learning and Knowledge Discovery in Databases
  5. Making an Impression Through Openness
  6. Building a process layer for business applications using the blackboard pattern
  7. A model predictive control for an aggregate actuator with a self-tuning initial condition procedure in combustion engines
  8. A discrete approximate solution for the asymptotic tracking problem in affine nonlinear systems
  9. Global text processing in CSCL with learning protocols
  10. Performance and Comfort when Using Motion-Controlled Tools in Complex Tasks
  11. Neural network-based adaptive fault-tolerant control for strict-feedback nonlinear systems with input dead zone and saturation
  12. N3 - A collection of datasets for named entity recognition and disambiguation in the NLP interchange format
  13. Comparing the Sensitivity of Social Networks, Web Graphs, and Random Graphs with Respect to Vertex Removal
  14. Optimal trajectory generation using MPC in robotino and its implementation with ROS system
  15. Multi-Parallel Sending Coils for Movable Receivers in Inductive Charging Systems
  16. Computational modeling of material flow networks
  17. On the Nonlinearity Compensation in Permanent Magnet Machine Using a Controller Based on a Controlled Invariant Subspace
  18. Paraphrasing Method for Controlling a Robotic Arm Using a Large Language Model
  19. Anomaly detection in formed sheet metals using convolutional autoencoders
  20. A Multilevel CFA-MTMM Model for Nested Structurally Different Methods
  21. Framework for setting up and operating biobanks
  22. Anatomy of Haar Wavelet Filter and Its Implementation for Signal Processing
  23. Perfect anti-windup in output tracking scheme with preaction
  24. Introducing a multivariate model for predicting driving performance
  25. Semantic Parsing for Knowledge Graph Question Answering with Large Language Models
  26. Reading and Calculating in Word Problem Solving
  27. Linux-based Embedded System for Wavelet Denoising and Monitoring of sEMG Signals using an Axiomatic Seminorm
  28. 'SPREAD THE APP, NOT THE VIRUS’ – AN EXTENSIVE SEM-APPROACH TO UNDERSTAND PANDEMIC TRACING APP USAGE IN GERMANY
  29. Simultaneous Constrained Adaptive Item Selection for Group-Based Testing
  30. Inversion of fuzzy neural networks for the reduction of noise in the control loop
  31. Age-related differences in processing visual device and task characteristics when using technical devices