I’m a data scientist interested in clean technology - what can I do? Careers in Clean Technology and Data Science continued

  Last time, we looked at the skills that someone from a clean technology background would need to acquire to become a full - fledged clean tech data scientist. Today, we’ll take a look at the other side of the balance - if you have a data science background, then how can your skills be applied in the clean technology sector?   Someone who is already a data scientist or is in the software field and looking to break into a clean technology industry or company has a very different problem from the clean tech specialist. To start with, your skills are most likely in algorithms, statistics and data engineering. That means that you can code, build prototype algorithms, build hardware/software interfaces if you’re in sensors or robotics and you know how to store and access data. You probably already have a PhD in physics or maths or another engineering domain or maybe a Masters in computer science.     So, the data science and engineering skills that the clean tech specialist would need to p

I have a clean technology background - now what? Careers in Clean Technology and Data Science continued

  We had a great time hosting our webinar on careers last month- a big thank you to all of you who signed up and attended and asked all those interesting questions! If you’re interested in getting the slides, they can now be downloaded for free   here .   And now, to continue with our series of posts on this topic.. What kind of careers can be built at the intersection of clean technology and data science? The figure above shows the sectors in both clean technology and data science.  The kind of career you want to build will really depend on which end of the balance you’re sitting on. Are you someone who comes from a clean technology background and wants to pick up data science skills? Or are you someone who has a strong data science/software background and are interested in applying those skills to problems in clean technology? This will also govern the skills you will need to pick up or expand on as you build your career. If you’re coming from a clean tech background, you’re probably

Introducing our careers webinar!

  Since our last post discussing the market demand for clean tech data scientists and the potentially high growth in the years ahead, we've been getting a lot of questions from our readers about jobs, careers, salaries and how to get hired. Since most of the answers are going to be longer than a single blog post, we've decided to host a webinar discussing Careers in Clean Technology and Data Science.  The webinar will be held on April 26th, so please register   here   to reserve your spot. And if you do miss it or can't make it, don't worry! We'll host another one later in the year and in the meantime, we'll have the slides from the presentation available for download.

Careers in Clean Technology and Data Science: An overview

  We’ll be doing a series of posts discussing careers at the intersection of data science and clean technology - what kind of jobs are there, what career paths do they lead to, where can you work and what are typical salaries in this field.   The market for clean technology and data science is still in its infancy, but growing rapidly.   The market is divided between several sectors (energy, agriculture, water, climate change) to name a few  and each of these sectors has a market size ranging from multi-million to several trillion dollars.   As data science, including the use of sensors, machine learning, imagery and statistics, penetrates each sector , the market for clean technology and data science becomes correspondingly large. In fact, it’s been   estimated that we could be looking at a market size   between   100   billion to 6 trillion dollars   worldwide by 2025 . To put that in perspective, the software industry in the US has a market size of close to $2 trillion dollars today

The Technology Behind Virtual Reality And Augmented Reality Applications in Clean Tech

Last time   we looked at the kind of applications in clean technology where using virtual reality or augmented reality systems are making a significant difference.     But, how do these systems work?   Most AR and VR systems can be broadly classified as follows. These systems can be divided into 1) the hardware required to get the data, process and display it 2) the software needed to develop simulations of the systems being studied and create virtual objects and 3) the server where the data are stored and processed and where machine learning algorithms can be deployed to improve outcomes.   Key Hardware systems : The hardware systems can be categorized into the input systems and the display systems.     Most AR and VR systems use GPS (to determine location), cameras (to obtain the live images of where the user is located and/or looking), gyroscopes and accelerometers (to determine speed and direction of the user’s movement) and other sensors that are specific to the problem being solv

Virtual Reality (VR) and Augmented Reality (AR) In Clean Technology

What do the terms Virtual Reality (VR) and Augmented Reality (AR) bring to mind? Hollywood movies like “Black Panther” with the crazy action sequences where cars and airplanes are controlled from a laboratory, games like World of Warcraft with your gaming character moving through all the different locations, Pokemon Go and hunting for the prize in an actual physical location, Star Trek holodecks where you could explore completely different planets and surfaces… the list goes on and on. The one thing that all these examples have in common though is that they all come from the entertainment industry.   Now, VR and AR have been used extensively in playing games, having fun, and making movies more realistic. However, as devices like Google Cardboard, Oculus Rift and HTC’s Vive become more widely available and affordable, VR and AR have begun making their way into fields beyond just entertainment. In clean tech, in particular, there’s been increased interest in ways in which these technolog

From The Ground Up: Science For The Community

  My last post talked about how ideas get transferred from the laboratory to markets so that they can be used by millions of people. What I’m going to talk about today is the other side of the coin – the way millions of people can use smartphones and today’s tech to help advance scientific research and improve the world.   In other words –   citizen scientists   and how they help the clean tech and big data fields. One place where the community has been essential in understanding what’s going on in our world is in biodiversity and wildlife monitoring. Collecting data about where the different species are, what’s going on with their habitats has always been something that is hard and expensive to do for scientists. Imagine the effort it takes to distribute sensors and collect enough data about animals like tigers and bears!   Scientists and policy makers have always relied to some extent on data collected by enthusiastic amateurs to help round out their data collection efforts in these