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Science, AI and nuance

Scinuance – Science and nuance to inform decisions in the age of AI

Scinuance helps organizations understand the implications of artificial intelligence and scientific transformations, develop critical thinking, and build realistic, responsible and actionable pathways.

Responsible AI Science & nuance Consulting & training
Illustration representing AI, science and decision-making

Scinuance in a nutshell

Scinuance starts from a simple idea: artificial intelligence and science open up remarkable possibilities, but their impacts on jobs, skills, organizations and public debate are often misunderstood or oversimplified.

Our ambition is to bring science and nuance into decision-making: shed light on what we know, what remains uncertain, what is debated, and help teams understand AI as a tool rather than a black box or a source of anxiety.

Training, consulting and workshops

Modular formats to navigate AI, reinforce scientific literacy and structure concrete approaches tailored to your challenges.

Training

Understand the fundamentals of AI (including generative AI), science–society issues, scientific controversies, and methods for monitoring and analysing literature.

Consulting & support

Help leadership teams or collectives clarify a problem, scope an AI initiative, analyse sources, and articulate risks, opportunities and knowledge limitations.

Workshops

Design and facilitate strategic workshops, seminars and collective sessions where domain expertise, field experience and scientific insights come together.

A few anonymised missions

Examples of topics we explored

Based on recent projects combining scientific literature review, technology scouting and field interviews.

Health, biotech & life sciences

Advanced analytical techniques for innovation in nutrition

International mapping of laboratories and platforms to identify partners and emerging methods for advanced analytics in nutrition.

Energy & environment

Using satellite imagery to monitor environmental impacts

Assessment of how satellite-based observation can support monitoring of environmental risks and new industrial services.

Technologies, digital & AI

Security of connected objects and IoT ecosystems

Scientific and technical review of vulnerabilities, standards and protection strategies for connected devices and IoT infrastructures.

Packaging, materials & recycling

Recycling pathways for plastic and complex waste

Analysis of emerging recycling technologies, industrial players and regulatory trends for circular economy strategies.

Automotive & mobility

Technologies for assisted and autonomous vehicles

Benchmark and maturity assessment of sensors, perception systems and control technologies for next-generation mobility.

Consumer goods & lifestyle

Prospective study on emerging industrial applications

Exploration of future uses, scenarios and technology roadmaps for responsible innovation in consumer products.

Topics we particularly enjoy clarifying

Circular economy & recycling AI, data & connected services Sustainable materials & packaging Satellite imagery & geodata Health–environment interfaces Mobility & autonomous vehicles

Who is it for?

Scinuance works with actors who need solid foundations to decide, explain and engage stakeholders in transformations connected to AI and scientific evolutions.

Latest blog posts

A few examples of analyses illustrating how Scinuance uses scientific literature to shed light on sensitive topics.

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Have a topic to explore?

Do you want to facilitate an internal debate, prepare a seminar, design an AI training module or analyse a sensitive topic based on available scientific knowledge?

Discuss your needs