CCRI Seminar 24th September 2026 - AI, IoT and The Environment

CCRI Seminar 24th September 2026 - AI, IoT and The Environment

by Dr. Richard Cook and Dr. Imogen Mansfield · View the channel on PSI

Humanities, Social Sciences & Thought Engineering & Technology TTechnology, Engineering, Agriculture, Industrial processesTQEnvironmental science, engineering and technology
🎙 Dr. Richard Cook and Dr. Imogen Mansfield 👥 88 📅 September 25, 2026 ⏱ 47 min 👁 0 📄 expert opinion 🧭 2026-09-25
Available in: English (current) Français

Keywords

fast litterplastic pollutionAI personasnature connectednesscitizen science

Summary

This seminar, presented by Dr. Richard Cook and Dr. Imogen Mansfield, explores how emerging digital technologies like AI and IoT can address environmental challenges and foster human connection with nature. The first project, the Fast Litter Project, developed a mobile app and interactive dashboard to track branded on-the-go food packaging litter in Stroud, UK. The app allows volunteers to photograph and log litter items, which are geotagged and displayed on a dashboard for local authorities and decision-makers. The presenters conducted interviews with litter-picking volunteers, revealing motivations such as community pride and family stewardship, and found that using the app increased volunteers’ sense of empowerment. The second project, Harmony AI, uses IoT sensors in trees and AI to create synthetic personas that converse with people, converting environmental data into relational narratives. The goal is to enhance nature connectedness and promote stewardship, with plans to scale to 25 trees across Gloucestershire. Both projects illustrate a shift from prediction to participation, using technology as an infrastructure to bridge people, place, and environmental understanding.

170 words

Critical Evaluation

Value of the Information & Strength of the Argument

The presentation offers valuable insights into applied uses of AI and IoT for environmental monitoring and behavior change. The argumentation is coherent and grounded in concrete project experiences, including qualitative interviews and technical development. The presenters acknowledge limitations, such as the cost of sensors and the experimental nature of tree personas, which adds credibility. They also discuss tensions around AI ethics, such as persona representation and data interpretation. The value lies in demonstrating practical implementations and their potential to foster stewardship, though the claims are not backed by formal evaluations in this seminar.

Scientific Rigor, Source Quality, Title Accuracy

The seminar does not cite external academic sources, but it references specific technologies (Qwen model, B model) and internal project data. The title matches the content precisely. No audience comments were provided for analysis, so public reception cannot be assessed. The scientific rigor is moderate; the presenters are transparent about the proof-of-concept nature and their own biases, which partially offsets the lack of external validation.

173 words

Title / Content Match

The title accurately reflects the content, as the seminar covers AI and IoT applications for environmental monitoring and human-nature engagement.

Quality & Reliability

7/10

The presenters are university researchers presenting their own projects with detailed explanations. No external sources are cited, but the claims are plausible and grounded in their direct experience. The lack of peer-reviewed references slightly reduces confidence.

Key Moments

Markers derived by PSI from the transcript: the creator did not define chapters.

Contribution & Novelties

The seminar presents two innovative projects: a citizen science app for litter monitoring that empowers volunteers, and an AI-mediated tree persona system that translates sensor data into conversational narratives to enhance nature connectedness. These contributions demonstrate practical applications of AI and IoT in environmental stewardship.

Pour aller plus loin :

  • Citizen science — Core to the Fast Litter Project’s data collection approach.
  • Nature connectedness — Central to the Harmony AI project’s goal of enhancing human-nature relationships.
  • Internet of things — Underpins the sensor infrastructure used in both projects.
  • Plastic pollution — The environmental issue addressed by the Fast Litter Project.

100 words

Radar Profile

The profile shows strong scores in information quantity and reliability, with moderate technical depth and quality, indicating a balanced presentation of applied research with practical examples.

Reliability 8/10