Discover and read the best of Twitter Threads about #opencode

Most recents (7)

1/ 🧪🔬 Ever wondered if scientific research can be predicted? Our latest paper "What's next? Forecasting scientific research trends" tackles this question. Check out the details here 👉 arXiv:2305.04133v1 [thread] 🧵
2/ 🌍 The world of science is constantly evolving. But what if we could predict these trends, especially in life sciences? That's what our work aims to do. Imagine the possibilities!
3/ đź“š We've mined historical publications, research/review articles, and patents. The result? Models that can foresee scientific trends 5 years in advance. Time travel, anyone? #AI #DataScience #timeseries #trends
Read 11 tweets
I see #NHSEx has published the slides from its @HDR_UK “Data Access & Discovery” event, charmingly subtitled “A Forest Through the TREs” - on YouTube, if you want to listen:



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*I thought the phrase was “cannot see the forest for the TREs”, but hey...
Let’s take a look:

hdruk.ac.uk/wp-content/upl…

One reason we use the category term #TRE to refer to Trusted Research (or any other use) Environments that meet the #FiveSafes is that everyone wants to call their own TRE something different, so no-one really knows what they mean...
Call yours what you like (e.g. for @ONS it's their Secure Research Service) but if it only does four #Safes, or three Safes - and if it isn’t also #consensual and fully #transparent - then it's not a #trustworthy TRE...
Read 24 tweets
Finally, the #GoldacreReview is published! (During Parliamentary Easter holidays, mid-ping-pong on the #HealthAndCareBill...)

It's 221 pages - each PDF page is a double page spread - so this could be a lo-o-o-ong [Thread].

Here goes...
First point to note, in the Terms of Reference (p5), is that this is about "access to #NHSdata by #researchers, #commissioners, and #innovators" - i.e. #Planning and #CommercialReUse - so it is directly relevant to the operation of millions of people's #NationalDataOptOuts... Terms of reference for the review  1. How do we facilitate a
"185 wide-ranging recommendations for us to explore", says @sajidjavid (p6). Gulp! Time for some coffee...

"systems that ensure #underrepresented groups are well represented" may (partly) refer to this "landmark review", which got off to a slow start:

gov.uk/government/new… The far-reaching independent review into potential ethnic bi
Read 159 tweets
I am a finance researcher focused on: Behavioral Finance, Cryptocurrencies, and Portfolio Management.
This is a thread with my publications. Thus, I am able to publicize my papers and my research agenda.
1) Market Stress and Herding: A New Approach to the Cryptocurrency Market. - Journal of Behavioral Finance.

tandfonline.com/doi/full/10.10…
2) Analyzing herding behavior in commodities markets – an empirical approach - Finance Research Letters

sciencedirect.com/science/articl…
Read 22 tweets
Does social media use affect the life satisfaction of young people?

In what follows, please find the results of the most recent and probably largest longitudinal study on the topic -- which has just appeared in the Journal PNAS. 1/11
Together with @OrbenAmy & @ShuhBillSkee we have analyzed data from Understanding Society, the largest panel study worldwide. 8 Waves of data were collected, each separated by 1 year. The results are based on the answers of altogether 5,491 British Youth. @usociety 2/11
The data were analyzed using Random Intercept Cross-Lagged Panel Models – after RCTs arguably the best method to estimate causal effects. Using Specification Curve Analyses we ran overall 2,268 models – thereby increasing the results’ robustness. 3/11
Read 11 tweets
Beeinflusst Social Media-Nutzung die Lebenszufriedenheit? Stimmt die These, u.a. vertreten von Spitzer, dass Jugendliche durch Social Media unglĂĽcklicher werden?

Hier die Ergebnisse der umfangreichsten längsschnittlichen Studie zum Thema - soeben erschienen im Journal PNAS! 1/11
Zusammen mit @OrbenAmy & @ShuhBillSkee analysierten wir Daten von Understanding Society, der weltweit umfangreichsten Längsschnittstudie. 8 Wellen wurden bisher erhoben, mit jeweils 1 Jahr Abstand. Insgesamt gingen Antworten von 5.492 britischen Jugendlichen ein. @usociety 2/11
Ausgewertet wurden die Daten mittels Random Intercept Cross-Lagged Panel Models – nach RCTs die wohl beste Methode zur Bestimmung kausaler Effekte. Anhand von Specification Curve Analyses wurden insgesamt 2.268 Modelle berechnet - was die Robustheit der Ergebnisse erhöht. 3/11
Read 11 tweets
We keep a copy of research code shared with @eLife articles by forking to our GitHub repository. Now, we’re exploring more options for archiving and preserving #opencode. What’s the value to you as a researcher? Let us know this week via the following thread [1/5]
In 10 years time you read an article with open code — what would you most likely want to do with this code? For other, please comment on this thread. [2 / 5]
If you would refer to the latest version of the code, what is the most frequent action you would likely take next? For other, please comment on this thread. [3 / 5]
Read 5 tweets

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