Learning stageStage 4, Stage 5
Curriculum areaScience (Earth and Environmental Science), Science and Technology
Resource typeVideo, Science based
IBM EdTech Youth Challenge projects to help reduce consumption and degradation of natural resources, and the effects climate change is having on our world.
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Many of the Earth's resources are being depleted faster than they can be renewed. This means that we are living in an ecologically unsustainable way. In order to support environmental sustainability and conserve Australia's biodiversity, we will have to embrace new and sometimes quite radical management practices of Earth's resources.
How can we use AI and design thinking methodologies to produce solutions that can help achieve ecological sustainability?
Watch and read the information and definitions below to learn more about sustainability and how it is linked to biodiversity and climate change to define your IBM EdTech Youth Challenge project problem to solve. The United Nations Sustainable Development Goals are an ideal starting point to looking at local problems within a global context of sustainability issues. Citizen science projects Wildlife Spotter and Australasian Fishes Project are project case studies and resources that may also inspire and encourage you to think about possible environmental sustainability research to focus on. There are also examples of potential applications of AI in citizen science which can be used for brainstorming innovative ideas for AI applications to address environmental sustainability problems. Information on next steps of the challenge and additional resources will help guide and inspire the focus of your IBM EdTech Youth Challenge project on environmental sustainability concerns in your local community and beyond.
Sustainability is using Earth's resources in an ecologically sustainable way by reducing consumption and degradation of natural resources. By adopting practices that keep us operating within the Earth's carrying capacity, using only what we need to survive and being smart about how we exploit and affect the natural world we can achieve ecological sustainability.
Climate change is the greatest threat to humanity and the diversity of life on Earth. We are already experiencing the effects of climate change in Australia including horrific bushfires, severe drought, extinction of species, altered biomes, impacts on mental and physical health, and economic losses.
Scientists predict that without a concerted effort by the global community these impacts will continue to worsen.
Biodiversity comes from two words Bio meaning life and diversity meaning variability.
Explore the United Nations Sustainable Development Goals (SDGs) to help guide you in defining a sustainability issue for your IBM EdTech Youth Challenge project in your local area. The SDGs are a call for action by all countries to promote prosperity while protecting the planet. They recognise that strategies that protect economic growth including education and health goes hand-in-hand with climate change and environmental protection.
AI and design thinking for environmental sustainability
Welcome to the IBM EdTech Youth Challenge, an opportunity for your team to learn how to apply design thinking and artificial intelligence solutions to enhance environmental sustainability in our region. For years we've been living in an ecologically unsustainable way depleting the earth's resources with climate change threatening the very systems that support life on earth. Working towards environmental sustainability is now more urgent than ever, so we can conserve Australia's biodiversity for future generations.
Let's hear from the Australian Museum's Sustainability Coordinator, Zehra Ahmed as she discusses how the AM is leading the way in sustainability and how the United Nations Sustainable Development Goals can inspire you to apply technology and AI to achieve ongoing sustainable outcomes. Paul Flemons, who manages Digital Collections and Citizen Science programs at the Australian Museum discusses the role that citizen science can play in conserving our biodiversity, which is so critical to protecting our planet.
Environmental sustainability is incredibly important. The reason why is that the natural world is rapidly disappearing and if it disappears so do we. So the key about environmental sustainability is how do we live without jeopardising our future and future generations. At the museum we're the first natural history museum in Australia to be carbon neutral. So how did we do this and how is data important? Firstly, we did a map of all of our emissions. This is through a carbon footprint. This is so important because it shows you exactly where all of your emissions are and how to prioritise them and how to reduce them. We often say if you can't measure something you can't manage it so having an understanding of exactly how much energy you're using and where, means that you can put in often really simple solutions. You can have lights with sensors that use a very small amount of energy and it makes a drastic difference to your overall energy consumption.
Citizen science is the involvement of basically the public in helping with scientific research. The Australian Museum runs some fantastic citizen science projects. FrogID is a project that involves citizens gathering data from out in the wild using a mobile phone app. Wildlife Spotter enables scientists to better understand how animals will respond to things like bushfires and other disasters which can affect biodiversity. The Australasian Fishes Project involves people from all around Australia collecting images of fish from their local area and contributing them to the iNaturalist website where they are identified by a combination of AI and citizen scientists. The Atlas of Living Australia website aggregates data from museum collections all around Australia. So if you want data just for your local area, go to the Atlas of Living Australia website, do a search for your area and download the data for use in the In the EdTech Youth Challenge.
I encourage you to think about the United Nations Sustainable Development Goals. Think about how this applies to a problem or an issue and how you can look at technology and artificial intelligence to come up with solutions that work towards these important goals.
We're really excited to see your solutions in your EdTech Youth Challenge and what solutions technology can hold to help solve these problems. Hearing about how The Australian Museum is working towards becoming a sustainable organisation and about our leadership in citizen science projects may inspire your project focus for the IBM EdTech Youth Challenge. Can you think of an environmental issue of concern in your community or how AI solutions could help your school to become more sustainable? We need your ideas to help humanity be more environmentally conscious, reduce consumption and degradation of natural resources and understand the effects of climate change on our world and lives.
Discover the additional resources on the environmental sustainability page and check out the links to the United Nations Sustainable Development Goals and Atlas of Living Australia as you plan your IBM Edtech Youth Challenge project. There's also an inquiry form if you have any specific questions for our experts. We're looking forward to seeing your submissions to the IBM EdTech Youth Challenge.
Image classification in citizen science
Citizen Science programs provide a crucial source of data about biodiversity and the effects of climate change on ecological sustainability. It relies on public participation in scientific research to help us to gain insights into our environment and create additional data sources.
Wildlife Spotter and Australasian Fishes Project are some examples of image classification projects that rely on citizen scientists to classify images according to taxon/species. These projects present many opportunities for technologies such as AI to make even more significant contributions. Below you will find examples of potential applications of AI in citizen science which can be used as a great starting point to inspire and encourage you to brainstorm further innovative concepts.
Project case study: Wildlife Spotter
Australian Museum's DigiVol’s Wildlife Spotter is an image-processing platform to support the tagging of thousands of images of wildlife, and their behaviours, taken by camera traps. In 2020, citizen scientists have transcribed over 2.4 million animal identifications in images on DigiVol's Wildlife Spotter. This vital information will help Australian researchers monitor and protect Australia's iconic wildlife.
How does it work?
Each Wildlife Spotter project outlines a set of tasks to be completed by citizen scientists. The data submitted will provide insights that can feed directly to conservation management. Contributors learn how to:
ID animals and tag the images
Identification guide on how to ID the animals with a list of key features and images.
Identify the animal/s on each image
Identify animal/s in each image by matching them to a specified list. Images are captured in bursts of three so citizen scientists can look at the movement of the animal/s to help identify them. You can skip the image if you don't know what the species is.
Choose the number of individuals
Count the number of animals in the image. If there is more than one type of animal, then select the additional animal and indicate the number.
Add notes to anything to anything of interest
Add notes of an unlisted animal that you know the common name of.
Project case study: Australasian Fishes Project
Australasian Fishes Project
The project is a collaboration between the public, industry partners and professional ichthyologists at a number of Australian and New Zealand museums and other fish-related institutions.
This crucial data gives us insights into the impacts of climate change such as coral bleaching and its effect on marine biodiversity and health.
How does it work?
The Australasian Fishes Project is a community based project that allows anyone to upload images of their observation and share it. Other members of the community can also help identify your observation if you are unsure of certain fields. For research quality observations that can be used for science, submissions require all fields outlined below.
Who you are
You will need to make an iNaturalist account to post your personal observations.
What you saw
You can identify what you saw. If you capture a photo, you can leave this field blank and the community can help.
Where you saw it
Record the coordinates of the encounter.
When you saw it
Record the date of your encounter.
Evidence of what you saw
Upload clear photos of your observation and include different angles. The community can help add, improve or confirm the identification of the organism you encountered.
Role of AI in citizen science
Advances in AI technologies that allow computers and machines to function in an intelligent manner are now being applied in citizen science.
Paul Flemons (Manager of Citizen Science at the AM), discusses whether AI is a threat to Citizen Science and explores the opportunities and risks that it presents. A recent publication that he co-authored, looks at how AI is already influencing this field through a range of technologies that assist/replace humans in completing tasks, influence human behaviour and improve insights into data.
Citizen science projects that use image based classification systems to identify animals have great potential for AI application. Some examples of possible applications are outlined below to serve as a springboard for further brainstorming ideas.
|Classifying images||AI can be used in image classification such as species identification.|
|Filtering out repetitive and mundane tasks||AI can be used to speed up and filter out repetitive and mundane tasks eg. filtering out images that don't have animals. This allows citizen scientists to focus on work that is more interesting or requires further knowledge and expertise.|
|Digitisation (converting information into a digital format) of biodiversity research||AI can help digitise biodiversity research through identifying and sorting museum specimen labels.|
Ceccaroni, L., Bibby, J., Roger, E., Flemons, P., Michael, K., Fagan, L. and Oliver, J.L. (2019) Opportunities and Risks for Citizen Science in the Age of Artificial Intelligence. Citizen Science: Theory and Practice, 4(1), p.29. DOI: http://doi.org/10.5334/cstp.241
Atlas of Living Australia
The ALA is Australia’s one-stop-shop for information on our diverse wildlife: you can look up facts, explore species in your area, and view images of species in the wild and specimens in museums.Search ALA Data
Describe a local environmental sustainability problem.
Knowledge of AI
Is there an AI solution to assist in solving this problem?
Understanding the user
Who will benefit from the solution and how.
Document how creative and critical thinking were used to brainstorm, with one solution being prioritised.
Identify potential data sources, and investigate a data sample and privacy issues.
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Drawdown: The Most Comprehensive Plan Ever Proposed to Reverse Global Warming
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How to Talk About Climate Change in a way that Makes a Difference
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