Technology Strategy: Evaluate New Tech Before You Bet on It
Computing Research & Technology Strategy: leave with a literature scan, reproducible benchmark and technology-readiness assessment with a recommendation.
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What this session would cover
Proposed outline — the mentor finalises the agenda once this topic is scheduled.
- 1Why computing research & technology strategy matters — the common problem: Teams adopt or dismiss new technologies on hype instead of evidence.
- 2Core concepts in plain language: Literature reviews, reproducible experiments, benchmarking, research ethics, hypothesis testing, prototype evaluation
- 3Going further: technology scouting, technology-readiness assessment, research roadmaps, experimental areas such as neuromorphic and photonic computing
- 4Framework walkthrough: Software Carbon Intensity, ACM Code of Ethics, Technology Readiness Levels
- 5Practical workflow, built live: A literature scan, reproducible benchmark and technology-readiness assessment with a recommendation.
- 6How to measure it: Energy per request, Client satisfaction, Reproducible results
- 7An illustrative case (a fictional example, not a client result), then live Q&A on your own situation
Who it's for
- • Experienced developers and consultants
- • Tech educators and mentors
- • Technology strategists
You'd leave with
- A literature scan, reproducible benchmark and technology-readiness assessment with a recommendation.
- A working understanding of Software Carbon Intensity and ACM Code of Ethics
- A short list of measures to track: Energy per request, Client satisfaction, Reproducible results
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