"Scientific research conducted with participation from the general public."
Citizen science involves enlisting the general public to participate in scientific research, with the goal of collecting large amounts of data that would not be possible using traditional research methods.
Citizen Science: This topic covers the basics of what citizen science is, its benefits, and how it is carried out.
Types of Citizen Science: Different types of citizen science are described in this topic, including community-based and online citizen science.
Project Design and Management: This includes designing and managing citizen science projects, creating project goals, and engaging volunteers.
Data Management: This topic covers data management practices, including how to collect, analyze, and use data in citizen science.
Ethics and Responsible Conduct: This involves the ethical and responsible aspects of citizen science, including informed consent, data privacy, and ethical issues associated with data sharing.
Open Science: This topic covers the principles of open science, including open data and open access, and how they relate to citizen science.
Policy and Advocacy: This involves the policy and advocacy aspects of citizen science, including how to advocate for citizen science and support policies that advance it.
Education and Outreach: This includes learning about citizen science education and outreach practices, engaging stakeholders, and recruiting volunteers.
Communication and Dissemination: This topic involves the communication and dissemination of citizen science datasets and results, including how to share data, research papers, and communicate findings to the public.
Evaluation and Assessment: This covers the evaluation and assessment of citizen science projects, including developing evaluation tools and assessing the impact of citizen science on participants, communities, and society at large.
"Citizen science (similar to community science, crowd science, crowd-sourced science, civic science, participatory monitoring, or volunteer monitoring)."
"Biology and conservation."
"Collecting and classifying data, improving the scientific community's capacity."
"Communities initiating projects researching environment and health hazards in their own communities."
"Education about the scientific process and increased awareness about different topics."
"Schools have students participate in citizen science projects as a part of the teaching curriculums."
"In a January 1989 issue of MIT Technology Review."
"Increased in the 21st century."
"A trend helped by technological advancements."
"To store large amounts of data for many projects and provide a place for volunteers to contribute."
"Participants collect and enter data, such as species observations, into large digital global databases."
"Participants help classify data on digital platforms."
"Using volunteer-classified images to train machine learning algorithms to identify species."
"Not all locations always have the same amount of data from contributors."
"Measurement errors and biases."
"Yes, there are statistical solutions and best practices available which can help."