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Nick Taylor, Mel Woods, Andy Cobley, Laura Underwood, Gerid Hager, Dr Saskia Coulson, Inian Moorthy, Linda See, Dilek Fraisl, Margaret Gold, Joan Masó, Valantis Tsiakos, Uta Wehn, and Ester Prat

Most FutureLearn courses run multiple times. Every run of a course has a set start date but you can join it and work through it after it starts. Find out more This course is for anyone interested in citizen science and citizen observatories, and learning about how to design a citizen science project. You can use the hashtag #CitizenScienceMOOC to talk about this course on social media.

Topics Covered

Read more

Most FutureLearn courses run multiple times. Every run of a course has a set start date but you can join it and work through it after it starts. Find out more This course is for anyone interested in citizen science and citizen observatories, and learning about how to design a citizen science project. You can use the hashtag #CitizenScienceMOOC to talk about this course on social media.

Topics Covered

  • Understanding the issue or problem: exploring environmental issues and deciding on a research focus.
  • Creating a community: finding the people who are brought together by a shared concern and positively nurturing the sharing of ideas and experiences.
  • Deciding what data to collect: using the research question(s) to select what information will be gathered.
  • Capturing or generating the data: collecting the information, keeping motivated and engaged.
  • Analysing the data: interpreting the data, being able to spot trends and anomalies.
  • Disseminating results: using the findings from the data to communicate with others about the environmental concern.
  • Change-making / planning action: using the findings to lobby for change, or plan an intervention or action to inform others about the environmental concern.

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Reviews summary

Empowering citizen science for community impact

According to learners, this course offers a highly practical and inspiring guide to launching citizen science projects. Students praise its clear, step-by-step approach to topics like identifying environmental issues, collecting and analyzing data, and crucially, making a real difference. Many found the emphasis on creating and engaging a community particularly valuable. While exceptionally well-suited for beginners and hobbyists, some with prior scientific background felt the course could benefit from greater depth in advanced data analysis and dissemination strategies. Overall, it's considered an empowering foundation for those passionate about local change.
Highlights the vital role of community in successful citizen science initiatives.
"The focus on community engagement and data interpretation was especially valuable. The discussions were lively..."
"I particularly enjoyed the emphasis on 'creating a community' and building relationships, which is often overlooked."
"This course is a solid primer. It lays out the process clearly and emphasizes the importance of community."
Excellently suited for those new to citizen science or environmental activism.
"Absolutely brilliant! As a hobbyist interested in local conservation, this course gave me the perfect framework."
"It's a great course for beginners and those looking to apply their interest."
"I found it better for absolute beginners without prior research experience."
Provides clear, actionable steps for designing and executing citizen science projects.
"This course was incredibly inspiring and practical! I learned so much about how to actually plan and execute a citizen science project from scratch."
"The step-by-step approach to 'planning action' and 'change-making' was exactly what I needed."
"I loved the practical advice on 'deciding what data to collect' and the encouragement to actually start small projects."
Some specific topics could be expanded, and external links may need updating.
"I found the section on 'Disseminating results' a bit light – it felt like an overview rather than a deep dive..."
"My only minor critique is that some of the links to external resources were outdated..."
"There wasn't much about funding or long-term sustainability of projects, which would have been useful..."
May lack the detailed analysis or case studies expected by those with prior scientific background.
"I found it felt a bit too theoretical for me in parts, especially regarding data analysis. I was hoping for more hands-on examples..."
"Disappointed with the depth... I was looking for more advanced discussions or case studies on complex projects."
"It's too high-level for someone already familiar with research methodologies."

Career center

Learners who complete Citizen Science Projects: How to Make a Difference will develop knowledge and skills that may be useful to these careers:

Reading list

We've selected 50 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Citizen Science Projects: How to Make a Difference.
This Pulitzer Prize-winning book examines the history of mass extinctions and provides a sobering look at the current extinction crisis. It highlights the urgency of taking action to protect biodiversity and preserve the fragile balance of life on Earth.
The third edition of the essential guide to data wrangling with pandas, NumPy, and Jupyter in Python. Updated for newer versions of the libraries, this book remains a core resource for anyone performing data analysis in Python. It widely used textbook and reference for its clear explanations and practical examples.
This thought-provoking book explores the profound implications of human activities on the natural world. It challenges the notion of a pristine wilderness and argues that humans have become a dominant force shaping the planet's ecosystems.
This comprehensive textbook provides a detailed overview of the principles and practices of data collection in the social sciences, covering topics such as research design, sampling, data quality, and ethical considerations. It offers a strong foundation for understanding the entire data collection process.
Provides a stark look at the potential future impacts of climate change, deepening the understanding of the urgency of environmental issues. It significant contemporary work that highlights the potential scale of the crisis. It serves as essential reading for grasping the potential consequences of inaction.
A follow-up to Drawdown, this book offers a comprehensive framework for climate solutions, emphasizing interconnectedness and regeneration. It is highly relevant for contemporary approaches to climate action and provides depth on various regenerative practices.
Examines the role of grassroots leaders in advancing environmental justice. It highlights the challenges and opportunities faced by these leaders and provides valuable insights into effective strategies for empowering communities.
This practical guide to data collection methods helps researchers design and implement effective studies, encompassing a wide range of techniques, including surveys, interviews, observations, and archival research. It provides clear and detailed instructions for each method and emphasizes the importance of reliability and validity.
Provides a foundational understanding of the fundamental principles of data science and the data-analytic thinking necessary for extracting value from data in a business context. It is highly relevant for undergraduate business analytics programs and working professionals. It serves as a useful reference for understanding the business applications of data analysis and is commonly used as a textbook.
Focusing on solutions, this book offers a broad overview of potential strategies to address climate change. It is highly relevant for understanding contemporary approaches and can be a valuable reference tool for exploring various environmental solutions. Its focus on actionable items makes it particularly useful for those interested in practical applications.
This inspiring autobiography by Nobel Peace Prize laureate Wangari Maathai tells the story of the Green Belt Movement, a grassroots environmental advocacy organization that has planted millions of trees in Kenya. It showcases the power of individual action and community involvement in addressing environmental challenges.
This accessible and engaging book provides a comprehensive overview of climate change, its causes, and potential solutions. It is written in a non-technical style and is suitable for readers with all levels of scientific background.
This groundbreaking book argues for the legal recognition of the rights of nature. It explores the concept of Earth jurisprudence and proposes a new legal framework for protecting the environment and ensuring intergenerational equity.
Examines the history of organized climate change denial, which significant contemporary environmental issue. It deepens understanding of the political and social challenges in addressing environmental problems. It is valuable for understanding the spread of misinformation and its impact on environmental policy.
Provides a broad historical and geographical perspective on how societies have interacted with their environments, offering valuable lessons for contemporary environmental issues. It deepens understanding by examining the long-term consequences of environmental mismanagement. It useful reference for case studies in environmental history.
Explores the complex communication networks among trees, offering a fascinating look at the interconnectedness of forest ecosystems. It deepens understanding of ecological relationships and the importance of biodiversity.
Focuses on the crucial skill of communicating insights from data effectively through compelling visualizations. is highly relevant for all levels, emphasizing the importance of clear and impactful data presentation. It is valuable additional reading that complements technical data analysis skills.
Examines the organized efforts to delay action on climate change, offering insights into the political and social barriers to environmental progress. It is highly relevant for understanding contemporary challenges in addressing climate change.
Bridges the gap between statistical theory and its practical application in data science using R and Python. It focuses on the statistical concepts most relevant to data scientists and provides code examples. It's a useful reference and learning resource for those applying statistics in their work.
Dives into the complex relationship between economic systems and the environmental crisis, offering a critical perspective on contemporary environmental issues. It is valuable for understanding the systemic drivers of environmental problems. This book is more valuable as additional reading to provoke critical thinking on economic and environmental interactions.
Offers a new way of thinking about data science and ethics informed by intersectional feminist thought. It challenges existing power structures within data and explores how data can be used to work towards justice. It's highly relevant for contemporary discussions around fairness and bias in data analysis.
Examines how environmental values are translated into policy, providing case studies and analysis of the policymaking process. It is valuable for understanding the challenges and opportunities in creating effective environmental regulations. It is often used as a textbook in environmental policy courses.
Based on the popular online video, this book provides a accessible overview of the linear economy and its environmental impacts. It is useful for gaining a broad understanding of consumption and waste issues. It serves as good introductory material for understanding the lifecycle of products and their environmental consequences.
Is an excellent starting point for anyone new to data analysis or statistics. It demystifies core statistical concepts without relying heavily on mathematical formulas, making it highly accessible for high school and undergraduate students. It provides a strong foundation in the intuition behind statistical analysis and helps readers understand how data can be used and misused. This is valuable background reading that builds prerequisite knowledge.
Considered a classic in environmental literature, this book introduces the concept of a "land ethic," which is fundamental to a broad understanding of environmental philosophy. It provides a historical perspective on conservation and the human relationship with nature. It is essential background reading for understanding the evolution of environmental thought.
This textbook offers a comprehensive overview of environmental politics and policy in the United States, covering key institutions, actors, and policy debates. It is widely used in academic programs and provides a solid foundation for understanding the political dynamics of environmental issues.
Focuses on longitudinal data analysis, which involves collecting and analyzing data over time. It covers techniques such as generalized linear mixed models and structural equation modeling, providing a valuable resource for researchers working with longitudinal datasets.
Provides a guide to creating effective and aesthetically pleasing data visualizations. It delves into the principles behind good visualization design, helping readers make informed choices about how to represent their data. It valuable reference for anyone creating visualizations, from students to professionals.
Teaches probability and statistics using a computational approach with Python. It's ideal for students and professionals with programming experience who want to understand statistical concepts by doing. It helps solidify understanding through hands-on application.
A timeless classic that remains highly relevant today. exposes common ways statistics can be manipulated or misinterpreted, fostering a critical eye essential for anyone working with data. It's valuable for all levels, from high school to professional, as it highlights the importance of data integrity and ethical considerations. This serves as crucial additional reading to develop data literacy.
Explores the innovative aspects of Citizen Science, focusing on its impact on open science, society, and policy.
SQL fundamental skill for data analysis, and this book delves into advanced techniques for working with data in databases. It's essential for anyone who needs to retrieve and manipulate data stored in relational databases. It serves as a valuable reference for more complex data extraction and transformation tasks.
This handbook provides practical guidance for researchers and practitioners on how to design, implement, and evaluate Citizen Science projects.
Provides a practical guide to using Citizen Science for environmental management, covering topics such as data collection, analysis, and interpretation.
This textbook offers a comprehensive introduction to survey research, covering the entire process from research design to data analysis. It provides theoretical foundations, practical guidance, and real-world examples, helping students understand the strengths and limitations of survey methods.
Explores the cultural and artistic responses to climate change, offering a humanistic perspective on the crisis. It provides a broader understanding of how societies are grappling with environmental issues beyond science and policy. It is valuable as additional reading for exploring the cultural dimensions of climate change.
Explores the world of prediction and forecasting across various fields, demonstrating how data analysis and statistical modeling are used in practice. It's particularly engaging for undergraduate and graduate students interested in the application of data analysis in real-world scenarios. It adds breadth by showcasing diverse applications and the challenges involved in making accurate predictions.
Provides a high-level overview of the data science process, from asking questions to interpreting results. It focuses on the principles and concepts rather than specific tools, making it suitable for a broad audience. It helps in gaining a broad understanding of the data analysis workflow.
This report by the National Research Council provides a comprehensive overview of public participation in scientific research, including Citizen Science.
This introductory text provides a clear and accessible overview of data collection and analysis principles. It covers fundamental concepts such as data types, sampling techniques, data cleaning, and statistical analysis, making it suitable for beginners in data science and related fields.
While more focused on the engineering aspects of data systems, this book provides a deep understanding of the underlying infrastructure for data analysis. It's particularly valuable for graduate students and professionals involved in building and maintaining data pipelines and databases. It adds significant depth to understanding the data landscape.
Focuses on qualitative interviewing techniques, providing a step-by-step guide to conducting effective interviews. It covers ethical considerations, interview design, data analysis, and common challenges researchers may encounter. It offers a valuable resource for those interested in qualitative data collection methods.
A seminal work on information design and data visualization. While not specific to data analysis techniques, its principles are fundamental for effectively presenting data. It's a classic that influences how we think about visual communication of quantitative information.

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