AI-Powered Citizen Science: Crowd-Learning, Data Verification, and Public Engagement

Publication Date : 10/05/2025


Author(s) :

Vedamurthy.


Volume/Issue :
Volume 03
,
Issue 5
(05 - 2025)



Abstract :

Citizen science, a collaborative effort where non-experts contribute to scientific research, has seen exponential growth with the integration of artificial intelligence (AI). This paper explores the role of AI in enhancing citizen science by facilitating crowd-learning, improving data verification processes, and fostering greater public engagement. Through the application of machine learning algorithms and data analytics, AI can streamline the collection and analysis of large datasets, improving the accuracy and efficiency of citizen-led research. Furthermore, AI-powered platforms can empower individuals from diverse backgrounds to actively participate in scientific discovery, leading to more inclusive and democratized research. This paper examines various case studies where AI has been successfully implemented in citizen science projects, offering insights into how these technologies are reshaping the landscape of scientific inquiry and public involvement.


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