📚 Pretty nervous about this, but here goes. Here's a side project I've been working on for the past few months. It's called Viberary and it's a semantic search engine. It gives you book recommendations based on ✨vibes. ✨ You enter a search query like "funny scifi" and it returns a list of (hopefully!) good recommendations.

https://viberary.pizza/

There is an about page that explains the data, model, etc. It's still pretty early stages but it's been a labor of love for me.

One headache in modeling & scenario analysis are inconsistent country names across different data sources.
So we developed an open-source #Python package to harmonize names in the #IntegratedAssessment & #EnergySystems communities...

The country names are based on ISO3166-1 standards, and the package has a few utility features to streamline modeling & analysis.

#ReadTheDocs at https://nomenclature-iamc.readthedocs.io/en/stable/api/countries.html, or visit the #GitHub repo at https://github.com/iamconsortium/nomenclature

Writing in The Atlantic, I argued that electric vehicles shouldn't be overpowered behemoths:

"Automakers' focus on large, battery-powered SUVs and trucks reinforces a destructive American desire to drive something bigger, faster, and heavier than everyone else."

https://www.theatlantic.com/ideas/archive/2023/01/electric-vehicles-suv-battery-climate-safety/672576/

#cars #safety #climatechange

I am hiring a lead full-stack Web engineer to help build #OpenSource software to fight #ClimateChange.

If you've shipped 1-2 Web projects and been the tech lead for 1 software project: we need your help.

Please boost for reach! #fedihire

https://www.womenwhocode.com/jobs/14733

Hello all. My Mastodon #introduction :

I'm a postdoc working at MIT to develop new macro-energy system models and use them to better understand the energy transition and improve technologies and policies.

Right now, I'm working on projects to understand the value of fission and fusion generation, and co-located hydrogen + generation facilities.

I'm helping to develop the GenX and DOLPHYN codes.

#Energy #EnergyMastodon

My #NormConf talk covered two frameworks -- pre-mortems and tracer bullets -- which can help us to tackle unknowns and move through the ML process faster 💫

Check it out here! https://www.youtube.com/watch?v=vNZY0zhg3Do&list=PLYXaKIsOZBsu3h2SSKEovRn7rGy7wkUAV&index=18

Hourly or annual matching for green hydrogen?

Our new preprint shows: it depends.

Hourly matching has low system emissions impact across all scenarios.

Annual matching raises emissions if electrolysis is inflexible and the grid is not clean, otherwise it can lower emissions.

Does anybody have a rubric they like for evaluating take-home technical interview questions in #PyData / #DataEngineering / #DataViz? Or suggestions on how to elicit informative responses to them? This step ends up being the biggest filter in our hiring process, and we have a relatively open-ended data wrangling question. The responses are incredibly varied. #hiring #opendata

https://github.com/catalyst-cooperative/interview-questions/blob/main/data-liberation-engineer.ipynb

I put "John Mastodon, CEO of Mastodon" into DALL-E 2 and this is what it spat out.

The second photo is him founding the company in the late 1990s in his college dorm room.

#JohnMastodon