1. Future thinking for global research infrastructures
Embracing Disruption in R&D and MoRI of Tomorrow
Dr Anthon P Botha
TechnoScene (Pty) Ltd
and
University of Pretoria, Department of Engineering and Technology Management, Graduate School of Technology Management (GSTM)
South Africa
Inclusive RIs for Development and Capacity Building
Tel: (012)
Cell:
Fax:

2. “It is often said that contemporary R&D brings about disruptive change
“It is often said that contemporary R&D brings about disruptive change. But will R&D and RIs itself escape disruption? ”

3. The Future Thinking Space
Behaviour
Technology
Events
What lies beyond strategy?
The Future Thinking Space
Physical Things
Future
Perception
What Happens
= f ( )
Change
Strategy = Σ Future Thinking
Copyright © 2016 TechnoScene (Pty) Ltd

4. Emergent issues Big data Geopolitical
Globally connected research infrastructure
Massive virtual collaboration
Advanced machine intelligence
Augmented reality
Simulated environments
Geopolitical
Competitiveness among nations (national pride)
Multinational and continental R&D programmes
Disbanding of large global groupings, e.g. BRICS, EU
Economic
Global recession
Connectedness and interdependence of economies
Phasing out of major currencies (e.g. Euro)
Natural
Water scarcity
Sustainability of agriculture and food security
Climate change and global warming
Social
National well-being
Inclusive innovation for development
Citizen participation
Demographic
Change in demography of researchers
Urbanisation
The rise of the Millennials in R&D
Anthon P Botha
“Future Thinking in R&D Management”,
R&D Management Conference 2016 “From Science to Society: Innovation and Value Creation” 3-6 July 2016, Cambridge, UK
Clients of R&D
Fast solutions
Social innovation
Complexity
Co-funding
Virtual connection
First to market, not long term IP
Open source solutions
Entrepreneurship in R&D
Non-classical R&D providers
Future
Behaviour
Technology
Events
R&D management and MoRI
Globally shared research platforms and infrastructure
Partnerships: governments, industry, research institutions and citizens
Global open standards
Reduce barriers to collaboration
New data ownership and intellectual property rights regimes
Competition will be replaced by collaboration in R&D
New custodians of R&D exist outside the classical norm (universities, state and industry labs)
Acknowledge non-R&D workers
Promote crowd funding for R&D
Freelance R&D specialists
Practitioners of R&D
Become connected researchers
Embrace open science
Co-creation and co-responsibility
Citizen science
Culture of sharing
Machine-automated R&D

5. Emergent issues - Cross Impacts
New technology R&D to mitigate event impacts
Safety and security technologies
Surveillance technologies
Space technologies
Privacy protection in mass collaboration
Ownership & jurisdiction of data
Access control
Ethics
“Machine rights”
Research data sharing
Massive virtual collaboration – large teams
Augmented reality
Solve complex problems
New IP view: Lead & compete vs protect & enforce
Entrepreneurial R&D
Citizen science
R&D and non-R&D knowledge
Work alongside machines
New algorithms to create, develop, monitor and manage complex systems
New decision support systems
Entering the metaverse: R&D in the virtual reality space
Energising data storage
New demands from R&D clients
New technology development to support R&D and MoRI
Future
Behaviour
Technology
Events
Pro-active R&D
Openness restrict geopolitical conflict (RI diplomacy)
Highly participative societies
Modelling, simulation and immersive decision making
Data sharing address development & injustice
Cross-border challenges
Collapse of economic alliances shut down collaboration and R&D funding
Agile R&D and entrepreneurship
Data sharing to prevent fast spreading epidemics
Global recession change collaboration into competition
Polarisation and offensive geopolitics lead to mass resistance
Economic stress - underinvestment

6. R&D Readiness Emerging R&D Trends
Ability to leverage Internet of Things, Big Data and Advanced Analytics
Digitization of the product development process and feature based development
Adapting product development to advanced materials and new manufacturing technologies
Excellence in software development
Globalising R&D footprints
Transparency and accountability in R&D performance
Is your company ahead of the curve in meeting the challenges of six emerging R&D trends?
Berteletti E , Morel, T and Teuliers M (2016), R&D Readiness, McKinsey Quarterly, June 2016, p1 - 3

7. Recognise Important Changes
Globally shared research platforms and infrastructures
Embrace Big Data and Era of the Algorithm
Open everything
Global open standards
It’s all open…
Resource sharing
Recognise Important Changes
It’s all connected…
New IP thinking
Millennials in R&D sharing everything
Massive collaboration
Social networking
Information sharing
New partners…
The citizen as partner, sensor and solution provider
The machine as partner -Artificial intelligence and machines in R&D

8. Adopt a New Regime for Future MoRI
Face paradigm changes
Embrace co-creation of and co-responsibility for research solutions
Create a culture of volunteerism
Focus on human embracement of R&D outcomes
Introduce benefit measurement in social innovation
Governments, universities, research institutions and industry cannot be the sole custodians of R&D anymore
Current intellectual property thinking in research outcome protection will not prevail
Competition in science will be replaced by collaboration in science
The guru will be replaced by the wisdom of the crowds
Sharing is the new protection
Building the mind of the future is crucial
People and machines (crowd intelligence and artificial intelligence) will increasingly work alongside each other to solve global challenges

9. Ideas that will shape the future of global inclusive RIs
We have to use future thinking and new managemrnt regimes to ensure our expensive, long-life research infrastructures are adequately designed and capacitated with skills to provide maximum support to the fast evolving demands for new ways of doing research.
We have to be responsive to the demand for fast results from research and be able to translate research outcomes into acceptable and embraceable solutions in increasingly shorter time windows.
We have to develop a metric for future readiness of global research infrastructures, from a technical, skills, capacity and impact point of view.

10. A challenging, but exciting future awaits R&D management and MoRI
Thank You!