Paper ID:250656LS

Authos: Akifumi Ueda

Title:  Artificial Intelligence and citizen science

​Publisher: Algorithm_Lab.

Conference: ICAITD 2025: The Second International Conference of AI new Technology and open Discussion

Location: Pleasanter Lounge  Nakano, Tokyo Japan

Date: 1-4 june 2025

Editor: Kazuo Ohzeki (Algorithm_Lab.  Professor Emeritus of Shibaura Institute of Technology, Professor of Emeritus of International Professional University of Technology in Tokyo)

Citation: Proceedings: ICAITD  2025  

https://doi.org/10.63211/j.p.25.645351

​pages:  87-93

​

Abstract:

​What is citizen science?
The Significance of Citizen Science​
Recent developments in citizen science and digital devices
​Types of Citizen Science
Conditions for the success of citizen science
​Recent Trends
Limitations of Citizen Science
AI and Citizen Science
Examples of AI utilization
AI as a catalyst for collaboration between citizen science and open science
The issue in a broader context: AI and social justice
Toward a Solution
Citizen science as a positive stimulus for AI research​​

​

Keywords: Citizen Science, collaborative research, volunteers, data collection, Galaxy Zoo,  eBird, Disease detection, Wildlife monitoring, Weather Pattern Classification, Mosquito Alert, COMPAIR, miniSASS, Fold-it, Data Sharing, Open-access

Category: Lecture Summary

Review process:  Committee review

Publication date: July 30th 2025

First received date: July 29th 2025
Copyright :Author(Full), AlgorithmLab.(First-in-the-world publishing rights granted by the author as the Prceedings of ICAITD 2025)
Licence:Viewer can download and view this review paper, but cannot secondary distribute (redistribute) it. (It is not Creative Commons License, nor MIT Licence) In other words, "Do not distribute" is the License

[] reads