Water resources are constantly threatened by pollution of potentially toxic elements (PTEs).
In efforts to monitor and mitigate PTEs pollution in water resources, machine learning (ML) …

The practice of participatory sensing for environment monitoring has rapidly evolved over
the years. There has been a steady growth of citizen-based air quality monitoring projects …

Advances in artificial intelligence (AI) and the extension of citizen science to various
scientific areas, as well as the generation of big citizen science data, are resulting in AI and …

Research projects that actively involve 'crowds' or non-professional 'citizen scientists' are
attracting growing attention. Such projects promise to increase scientific productivity while …

Artificial intelligence (AI) can perform core research tasks such as generating research
questions, processing data, and solving problems. We shift the focus from AI as a “worker” to …

Artificial intelligence (AI) applications can profoundly affect society. Recently, there has been
extensive interest in studying how scientists design AI systems for general tasks. However, it …

Point of interest (POI) data serves as a valuable source of semantic information for places of
interest and has many geospatial applications in real estate, transportation, and urban …

Artificial Intelligence (AI) can augment and sometimes even replace human cognition.
Inspired by efforts to value human agency alongside productivity, we discuss and categorize …

This article provides an overview of existing quantum physics-related games, referred to as
quantum games, that serve citizen science research in quantum physics. Additionally, we …

Citizen science projects engage the public in monitoring the environment and can collect
useful data. One example is the CrowdWater project, in which stream levels are observed …