Pinned toot

I am Victor Venema. I was born in , The Netherlands, and also studied physics there. My PhD was about measuring cloud structure. I currently work on the of climate station data in , Germany, and on @GrassrootsReview

I am also one of the admins of . We would like to create a friendly place to talk about science, but feel free to talk about anything. Please notify Frank Sonntag @admin or me early of unfriendly behaviour.

self-promotion 

Hello, #academicFederation

My new university job really, really values giving talks and lectures.

So, I'm going to offer my services as a speaker or lecturer.

I've given talks at universities like Oregon, Texas, Calgary, and Alberta.

I'd be happy to talk about my research about the #darkweb, #socialengineering, or #alternativeSocialMedia (including Mastodon), among other topics.

Obviously, I'm happy to do these via videoconference. DM me or email (robertwgehl at protonmail)

Today I was reminded that Trunk exists.

If you're looking for more people on the fediverse with whom you share common interests, this is a good resource. The only names on here are of people who opted in and requested it.

communitywiki.org/trunk

Intro 

#FluidDyn is an educational / research project to advance the field of #FluidMechanics through computational, experimental and data processing methods. The motivation behind this project is given here:

https://fluiddyn.readthedocs.io/en/latest/intro-motivations.html

We develop primarily in #Python. We are also proponents of #OpenScience philosophy. This account is managed by @ashwinvis (for now). Follow us for updates about our project and in extension exciting developments in the scientific stack of Python.

#introduction #introductions #OpenSource

Did you know that for biomedical literature, Europe PMC has a handy website that shows you how Open Access your work is? Just use this link and replace the ORCID: europepmc.org/authors/0000-000

At a virtual conference of my scientific community we had the idea of doing a regular colloquium like one would normally do at universities. Now that we do everything virtual, we can do the same globally.

Does anyone else have experience with such internet colloquia in their fields of study? Any tips on how to do this?

I naturally want to use BBB, to get them on good software habits. How often would one do this, how long, always the same people organizing or can it be done more democratically?

New #ClimateServices2020 report on #DRRDay
#Climatechange has led to more extreme weather. Yet 1 in 3 people are not covered by #EarlyWarning systems.
Being prepared and able to react at the right time, in the right place, saves lives and livelihoods.
bit.ly/3lJGCps

[:tw: tweets.newsbots.eu/WMO/status/#bot]

The World Meteorological Organization (@WMO) is the oldest international organization and they have been doing from the start: coordinate how measurements are made so that they are better comparable and agree on protocols for sharing the data internationally.

With some colleagues I wrote a WMO guidance on the homogenization of climate data, i.e. making data comparable in time. This post is the deleted chapter on future research needs.
variable-variability.blogspot.

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@joelsson Welcome to FediScience. That doubles the number of homogenization scientists. 😉

If you are used to other social media systems you will find this to be a friendly place. If you have any questions never hesitate to ask.

I have a blog post explaining why this system is better for the participants and society, but not yet one one the nitty gritty. variable-variability.blogspot.

New post. The deleted chapter of the @WMO Guidance on the homogenisation of climate station data variable-variability.blogspot.

🌡️👽🕵️‍♀️🏷️🛸👨‍🔬🧪

If we would make such a feasibility study would you be willing to participate?

You would get a mail when Climate Feedback starts a review & when it is finished, have that time to grade the article, maybe add how confident you are or a classification on the topic.

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#ClimateFeedback is a group of climate scientist reviewing press articles on climate change, but there is only so much a few scientists can do & by the time the reviews are in & summarized the article is mostly old news.

With a larger group we could review more articles & have results while people are still reading it.

We could test how well such a larger group does (& how to statistically combine their grades) by comparing their assessments with the ones later published by Climate Feedback.

In 1990 63% of published studies claimed to have produced positive results. By 2007 this was more than 85%. "in my view, it’s the scientists who report negative results who are more likely to move a field forward."
nature.com/articles/d41586-019
reddit.com/r/Open_Science/comm

Great to see the paper “Building an open community: a new opportunity for scholarly projects” showcases the creation of open #communities with #OpenStreetMap: books.openedition.org/inha/493.

It identifies 4 principles to successful open communities:
- open invitation
- onboarding contributors
- focusing the community
- building a commons

Probably, 2nd and 3rd are most difficult, and the paper gives good tips, but it’s worth sharing even more.

What’s working best in your experience?

Wikipedia Signpost: "Wikipedia and the End of Open Collaboration?" Open Peer Production projects seem to have a life cycle. With success comes abuse and a reduction in openness leading to less new contributors.
en.wikipedia.org/wiki/Wikipedi
reddit.com/r/Open_Science/comm

#MASTODON POST PRIVACY - who can see your post?

PUBLIC 🌏
Anyone can see and boost your post everywhere.

UNLISTED 🔓
✅ Tagged people
✅ Followers
✅ On your profile
❌ Local and federated timelines
✅ Boostable
✅ Visible to admins

FOLLOWERS ONLY 🔐
✅ Tagged people
✅ Followers
❌ On your profile
❌ Local and federated timelines
❌ Boostable
✅ Visible to admins

DIRECT MESSAGE ✉️
✅ Tagged people
❌ Followers
❌ On your profile
❌ Local and federated timelines
❌ Boostable
✅ Visible to admins

#FAQ

I made a flow chart of which #Mastodon posts end up in which timelines!

So, you can see how each instance will have a different local timeline, and even a slightly different federated timeline - and you can see why the federated timeline moves so much faster than the local one, too.

#FAQ

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