Common Ground Rising is working in conjunction with the network to record baseline data on water & air sampling prior to oil and gas industry siting of 15,000 + wells in the Chaco Mesa area and Rio Grande Valley impact all life including the 12 Native American Tribes within the Sandoval County area. To volunteer as individual and/or Youth/Student Group  Please Contact us info (at)

Defining Citizen Science

The term “citizen science” has been used to describe a range of ideas, from a philosophy of public engagement in scientific discourse to the work of scientists driven by a social conscience. In North America, citizen science typically refers to research collaborations between scientists and volunteers, particularly (but not exclusively) to expand opportunities for scientific data collection and to provide access to scientific information for community members.

As a working definition, we offer the following:

“projects in which volunteers partner with scientists to answer real-world questions.”

The power of citizen science

Citizen science is the involvement of the public in scientific research – whether community-driven research or global investigations. The Citizen Science Association unites expertise from educators, scientists, data managers, and others to power citizen science. Join us, and help speed innovation by sharing insights across disciplines.


The Citizen Science Alliance’s mission is to create online citizen science projects to involve the public in academic research. We believe that by doing this we can not only help everyone share in the excitement of discovery, but that such projects are a necessary response to the flood of data facing researchers in many fields.

As data sets have expanded in size due to the rapid decline in cost of computing, detectors, bandwidth and storage, so traditional modes of research have struggled to cope. While machine learning and computing have been able to take up some of the slack, they are not always adequate replacement for human abilities. After all, our brains have evolved to be extremely good at pattern recognition and we should try and take advantage of this ability where possible.

In the early years of this data flood, researchers were able to cope by recruiting more willing collaborators and students, but in many fields this proved to be only a stopgap. We need a much larger workforce than any academic department can provide. Luckily, the web provides a means of reaching a much larger audience, willing to devote their free time to projects which can add to our knowledge of the world and the Universe.

We call this method of involving the public ‘citizen science’, and we believe working this way has several advantages, a few of which are listed below.

  • The ability to cope with extremely large data sets – in its first six months Galaxy Zoo provided the same number of classifications as would a graduate student working round the clock for 3.5 years.
  • Unlike work by a small number of experts, our ability to gather multiple independent interactions with the data provides quantitative estimates of error. This is an essential part of the ‘wisdom of crowds’, allowing us to understand the accuracy of the data we provide.
  • Citizen science data sets naturally provide large and powerful training sets for machine learning approaches to classification problems. This is an essential part of our future; as data sets continue to grow we will need to hand off more and more of the routine tasks to machines; by doing citizen science today we can help train them.
  • Serendipitous discovery is a natural consequence of exposing data to large numbers of users, and is something that is very difficult to program into automatic routines. Humans are naturally programmed to keep an eye out for the weird and the odd, even while sorting most objects into more mundane categories.
  • While the primary goal of our projects is to produce academic research, by their very nature they are also outreach projects. As it involves our volunteers directly in the process of research, citizen science is a powerful tool for both formal and informal education. Unlike traditional education programs, from the moment users first interact with one of our project, they are not only learning but also contributing to science.


A key part of our plans is to provide a home for citizen science projects from a host of different disciplines, rather than have them scattered about the web. For those developing projects, there are obvious logistical advantages; we have an infrastructure that has been purpose built to support massively distributed citizen science, and which can cope with the rigours of hosting the most popular projects. Many tools and features, whether in the user interface, the backend or the analysis of data can be shared between projects, too. As the world leaders in online data analysis with citizen science methods, we can make sure that the researchers we work with just have to worry about the results. This philosophy is exemplified in our Project Buildertool which allows any researcher to build their own citizen science data analysis project through a set of templates.

Access to our existing community of citizen scientists allows us to market new projects directly to about 1.5 million people; while media attention is always nice, if we can enthuse our audience they can and have become advocates for our projects. Paradoxically, this