Virtual Training Simulations & Game-Based Systems: Large-Scale Adoption Issues
LEARNING ADOPTION 1 AND SCALE UP
Transcript of LEARNING ADOPTION 1 AND SCALE UP
This project has received funding from the European Research Council (ERC) under the European
Union’s Horizon 2020 research and innovation programme (grant agreement No 951542)
THE GENIE PROJECT‣ 6-year $10m ERC
SYNERGY grant
‣ Comprehensive assessment of CDR and SRM
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U. Aarhus
MCC-Berlin U. Wisconsin
IIASA
https://genie-erc.github.io
2021-2027
1. Costs potentials
2. Bottlenecks
3. Social acceptance
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4. Learning, adoption
5. Risks
6. Policy support
7. Synthesis 8. Outreach
8 WORK PACKAGES
WORK PACKAGE 4: LEARNING, ADOPTION, AND SCALE UP
Motivation
1. GTs by 2050s
2. scale up lengthy
3. focus is on R&D
4. urgency for post-R&D innovation activities
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Objectives
1. Inform scale up
2. Specify enablers
3. Identify barriers
4. Timing and pace
5. Insights for policy
‣ Innovation systems, transitions
‣ Energy technology innovation system
‣ Economics of innovation
‣ National innovation systems
GENIE, SCALING: THEORETICAL BASIS 6
‣ Accelerated = factor of 4 faster
‣ Operation Warp Speed was 4x faster
NEED ACCELERATED SCALE UP MODELS 8
FOCUS EFFORT ON:
‣ DYNAMIC TECHNOLOGIES
‣ SMALL UNIT SIZE
‣ MODULARITY IN LARGE UNITS
‣ ITERATIVE IMPROVEMENT
‣ LOCAL SYSTEM INTEGRATION
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DYNAMIC INDUSTRIAL POLICY FOR CLIMATE CHANGE
1. urgency and acceleration as goals
2. multiple policies, strategic sequence
3. govt engages deeply in innovation
4. tech+ inclusivity, social acceptance
5. local learning and system integration
6. adaptive, learn from experiments
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IMPLEMENTATION RISKS 19
‣ Rent seeking
‣ Selection, picking winners
‣ Information access
‣ Crowding out
‣ Risk aversion