Articles

Data Science in Clean Technology: Looking back and looking forward to 2021

Gayathri Gopalakrishnan

Happy 2021 everyone! The year certainly started with a bang - if there’s one thing we can’t say - it’s that January has been a boring month.   With the change in administrations in the United States, we’ve seen several changes in climate and clean technology policy which will have significant impacts on the state of the market, startups in the field, funded research and technology developments. And this is likely to extend to the use of machine learning, AI, smart sensors and the other aspects of data science in clean technology. So, let’s take a quick look at what...

Read more →


Data Science for the Grid, Renewables, Buildings and the Energy Sector

Gayathri Gopalakrishnan

It's time for our last two events for us in 2020 - what a crazy year it's been!  Continuing our theme of exploring data science in different clean technology sectors, we're doing to be focusing on the energy sector this month. On Friday, December 18th at 2 pm PT, we'll be holding a free webinar exploring the market and opportunities for data science in the energy sector - with a focus on renewables, the grid and buildings.    And then, on Sunday, December 20th at 11 am PT, we'll host a hands-on workshop where we'll look at the types of...

Read more →


Data Science for the Energy-Food-Water Nexus

Gayathri Gopalakrishnan

One of the most interesting aspects of working in clean technology is the interaction between different sectors in the space - the Food-Energy-Water nexus, for example.   What is the food-energy-water nexus? Well, not being in the Star Trek universe or any other science fiction arena, we’re definitely not talking about black holes of energy where food and water go to die :)! What we are talking about when we talk about the nexus between different clean tech sectors is - how do these sectors interact with each other? How complex are the interactions and can the relationships between them...

Read more →


Predicting floods using models for Covid and other infectious diseases

Gayathri Gopalakrishnan

What do Covid-19, social networks, traffic congestion and floods have in common? On the face of it, the answer would seem to be - nothing. But interestingly enough, all these systems can be represented in similar fashions - as nodes and networks with spatial and temporal effects.   So, scientists and researchers often try to see if models and ideas developed to solve problems in fields with similar representations can be adapted to problems in other fields. A really interesting study was published in Nature a couple of months ago, where researchers explored what happened when they adapted models used...

Read more →


Oceans, Ships and Data Science

Gayathri Gopalakrishnan

What comprises the water sector? If you asked ten people working in the sector, you’d probably get ten different opinions! And that’s because there are so many aspects of working with water and water technology.   There’s drinking water - which involves figuring out how much water is available (water resources management), how to treat it, how to deliver it effectively and at an acceptable price to customers. Then there’s wastewater - how do you treat, remove and recycle wastewater, both residential and industrial, to acceptable levels. Next, we come to the interactions between water and other built systems -...

Read more →