Skip to 0 minutes and 7 secondsMARIAN SCOTT: We often hear in the news about endangered species, plastic pollution, poor air quality and its impact in health, but also the benefits of renewable energy, the green economy, and sustainability. With modern technology, many aspects of our lives and our environment are being routinely measured. How can we make sense of these data and use them to understand what impacts our actions have on our planet? In this course, you will learn more about the power of data science in the field of environmental monitoring and renewables.
Skip to 0 minutes and 37 secondsJETHRO BROWELL: Over six feet we'll introduce and explain some of the skills and tools needed when thinking about environmental data. Working with experts and professionals, we'll analyse real world data reflecting some of today's most pressing environmental issues, from climate change, floods and droughts, to energy, renewables, and making an increasing contribution to our energy systems that are heavy weather dependent. As a result, forecasting has become increasingly important to manage supply and demand which have to balance in real time. Data science allows us to produce accurate wind and solar power forecasts from numerical weather predictions and historic data.
Skip to 1 minute and 11 secondsMARIAN SCOTT: As recently as a few decades ago, many rivers suffered from industrial pollution. But now water quality has improved and fish have returned. Looking at data, we can identify and measure the effectiveness of regulatory interventions and inform future policy decisions. Using data science, we can better understand how our environment is changing, what might be driving those changes, how to manage the state of our environment better, and even how to consider what might happen in the future.