While biodiversity monitoring has dominated the intersection of citizen science and machine learning, significant and instructive applications have emerged in astronomy and neuroscience. These domains offer unique insights into the integration of human and...
The integration of artificial intelligence into citizen science has created unprecedented opportunities for scientific discovery, but it has also introduced significant ethical challenges that must be addressed to protect participants, maintain trust, and...
The majority of machine learning applications in citizen science have focused on image classification, with algorithms trained to identify species or classify objects from photographs. However, many citizen science projects collect diverse types of data,...
Computer vision has emerged as a transformative technology in citizen science, enabling automated analysis of images and videos at scales that would be impossible through human effort alone. This review examines the role of computer vision in citizen...
Data quality assurance is a critical but resource-intensive component of citizen science projects. As project scale and data volume have grown, traditional expert-based quality assurance approaches have become increasingly inadequate, creating a need for...
Data validation is a critical yet resource-intensive component of citizen science projects. As the volume and complexity of citizen science data continue to grow, traditional approaches to quality assurance—relying on expert review or simple filtering rules...
Volunteer engagement and retention represent persistent challenges in citizen science, with many projects struggling to recruit and sustain active participants despite growing public interest in scientific participation. While citizen science has...
Biodiversity conservation depends on accurate, timely, and comprehensive data on species distributions, populations, and ecological interactions. Citizen science has emerged as a powerful tool for biodiversity monitoring, mobilizing millions of volunteers...
The integration of artificial intelligence into scientific crowdsourcing platforms represents a paradigm shift in how scientific research is conducted, with profound implications for the relationship between human volunteers and intelligent machines. This...
The integration of artificial intelligence into scientific crowdsourcing platforms represents a paradigm shift in how scientific research is conducted, with profound implications for the relationship between human volunteers and intelligent machines. This...
The current article examines the regulating factors of analytics, particularly about citizen behaviors and transactions, which are contingent upon the operational realm of an organization (corporate, public sector/government, or academic). We contend that...
An international, open-access academic press.
YUKTAB Publisher
Awan Tower, Peshawar, Pakistan
Monday – Friday, 9:00 AM – 6:00 PM (PKT)
For manuscript status queries, please contact the relevant journal's editorial team directly rather than the general office.
