News: Water Tech, AgTech and more about our new, redesigned platform

We've been in "building mode" here at Ecoformatics for the last few months and are delighted to announce our new products!

First, welcome to our new, redesigned website. We've consolidated all our products and services under a single platform with Teachable to make it easier for our members to access all our content. As a reminder, your existing account for courses and webinars will still work on our new website.

Second, our live events will be back starting January!  Our events will continue to be primarily virtual, and we're adding a new networking aspect to all our events. We are looking forward to talking about data science, machine learning and sensors in different clean technology sectors with professionals from around the world!


And finally, we’re excited to announce our new products - the WaterTech track and the AgTech track. These are our first tracks where we focus on data science in a particular clean tech sector - specifically the water and wastewater sector and the agriculture and forestry sector. As many of you know, so far we’ve been looking at data science tools and techniques across a broad range of clean technology sectors, and how these different sectors interact - like the food-energy-water nexus. 


With our new tracks, our goal is to help professionals working in these specific sectors to go from “I’ve never coded, I hate statistics and I’m not sure how useful machine learning and AI are to my problems” to “I can now build useful machine learning models, I understand when and how to apply data science, and I can successfully build and manage a team that can use these new technologies in my company and sector”.


We'll be launching our pilot courses for these tracks in a few weeks, so stay tuned!

What our community are reading

Moonshots, Models, IoT and Machine Learning in Agriculture

  What do Google, Climate Corporation, early stage startups in farm robotics, and researchers trying to figure out how to feed the world sustainably have in common? They’re all grappling with one of the toughest challenges of working with natural systems - how do you work with data that is sparse, unevenly distributed and with systems that have so many connections and interactions with other systems?     Before the advent of cheap sensors that are connected to phones, easily accessible satellite data and drones that can fly over fields quickly and inexpensively -     scientists in companies and academia worked on developing plant and crop models that incorporated as many aspects of the farm and as much data as was available so that they could understand and predict what was likely to happen on the field. Understandably, the forecasts took some time to produce and as the models grew more complex, issues about how to estimate model parameters and the uncertainty a...
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Our online community space is now live!

 Our online community space is now open to anyone who has signed up for a free or paid course on our website! In addition to everyone who signed up for our cohort-based courses, we're now expanding it to all the members of our community. If you've already signed up for any of our courses, check your email for the invitation for the space. It's where we'll get together to talk about all things data science and clean technology related, discuss the latest research, network and make connections with other professionals in the sector. It's an invitation only , no bots and no trolls allowed space - so come on over! Here's where you can check out our courses and join our community !
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State of the market update - players, funding, jobs and more

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If you are working in the high-tech sector or are at a startup, the first half of 2023 was definitely a roller coaster. We saw venture funding dry up for many sectors; saw the collapse of the Silicon Valley Bank - the bank where many startups and venture capital funds kept their money; and observed layoffs happen in the technology giants - Google, Facebook, Apple and others. In fact, one of the VC firms, Cervin, did an analysis showing that venture funding has been at an all-time low this year, with only 19 mega deals being signed in Q1 2023 compared to 98 the previous year; funding fell by 53% for angel and seed funding and by 30% for Series A rounds. In fact, except for companies focusing on generative AI and AI adjacent technology in the high-tech sector, it has been an exceptionally difficult year financially. How did the clean-tech sector fare? Unsurprisingly, while there were some impacts on startups and their ability to raise additional funds from venture capital firms, the se...
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