Galaxy Zoo is a citizen science project that uses the power of crowdsourcing to classify galaxies. The project was launched in 2007 by Professor Chris Lintott and his team at the University of Oxford.

The goal of Galaxy Zoo is to classify millions of galaxies in order to better understand their evolution and formation. Volunteers can classify galaxies by their shape, color, and brightness. The project has classified over 40 million galaxies, and the data has been used to make significant advances in our understanding of the universe.

Galaxy Zoo is a great example of how crowdsourcing can be used to address important scientific questions. The project has been a huge success, and it has shown that ordinary people can make a real contribution to science.

Here are some of the benefits of using crowdsourcing for scientific research:

• It can help to collect large amounts of data quickly and efficiently.
• It can tap into the skills and expertise of a large number of people.
• It can help to make scientific research more accessible and inclusive.

Here are some of the challenges of using crowdsourcing for scientific research:

• It can be difficult to ensure the quality of the data collected.
• It can be difficult to manage a large number of volunteers.
• It can be difficult to ensure that the results of the research are unbiased.

Despite the challenges, crowdsourcing has the potential to revolutionize scientific research. It is a powerful tool that can be used to address some of the most pressing challenges facing our world.