Bin Wang

Data-#Model-Learning the Complexity and Simplicity of #Ecosystems and their #DigitalTwins: from #trees to #microbes to the whole.

[Bin Wang @bioatmo_sphere]

Going back to the "#roots" w/ #TAM, after #complexity of forest (https://t.co/VkAM0YHhBy), microbiome (https://t.co/slemtAuYKR), soil structure (https://t.co/u4oZwS4IEM), & the abiotic (https://t.co/fLAL0gky4k). En Route to building a #FullHouse

[Bin Wang @bioatmo_sphere]

https://t.co/AwLJMWNlPu

[Bin Wang @bioatmo_sphere]

Sampling can be faster than optimization | PNAS https://t.co/LR3RdNlX47

[Steven Allison @StevenDAllison]

My take on how researchers can advance the representation of microbial physiology, including carbon use efficiency, in models of the soil carbon cycle- https://t.co/iBvyQuspzi

[Bin Wang @bioatmo_sphere]

#Microbial-explicit versions of these models are due for an update that recasts carbon use #efficiency as an output variable #emerging from microbial #metabolism. https://t.co/nGwEdnyihU

[Forrest M. Hoffman @climate_dude]

We are seeking a Front End Software Engineer to improve data discovery for the next generation Earth System Grid Federation #ESGF Come join our team in the @ComputationalS Group at @ORNL! https://t.co/tjNkarCsC9

[Forrest M. Hoffman @climate_dude]

We are seeking a Full Stack Developer to help develop the next generation Earth System Grid Federation #ESGF Come join our team in the @ComputationalS Group at @ORNL! https://t.co/AB1Etdxo9f

[Sara Hooker @sarahookr]

“It is not that I'm so smart. But I stay with the questions much longer.”

― Albert Einstein

[Carlos E. Perez @IntuitMachine]

The future is Agentic AI. Monolithic AI has its limits.

[Bin Wang @bioatmo_sphere]

George Perkins Marsh’s Man and Nature (1864) https://t.co/VGUDKMI5ol

[Yiqi Luo @YiqiLuo]

2nd edition of Land Carbon Cycle Modeling offers four techniques, matrix approach, data assimilation, ecological forecasting, and machine learning, to analyze carbon cycle. It has 43 chapters written by 25 authors, including 8 chapters on machine learning. Ebook is free.

[Dr. Verónica Espinoza @Verukita1]

📊The roles, challenges, and merits of the p value, 2023 (FREE)
"We provide a systematic examination of the p value"
👉Link:https://t.co/Ldd0VLnbSt
#academiccharter #postdoc #Bioinformatics #neuroscience #phd #DataSicence #statistics #python #Rstat #machinelearning #python #R

[NatureEcoEvo @NatureEcoEvo]

Analysis of distributional data for 25,000 species challenges the assumption that species are bound to the climatic conditions that they inhabit today, and argues that many species may be able to venture into unoccupied areas of their fundamental niche.

https://t.co/nv3Eb0I6BN

[Royal Society Publishing @RSocPublishing]

#ProcB Resilience assessment in complex # natural systems https://t.co/NW2WRCzAkj #OpenAccess #Ecology #SystemsBiology @CamillaSguotti

[Bin Wang @bioatmo_sphere]

Kates et al. propose that nitrogen-fixing symbiosis between bacteria and angiosperms has been gained and lost multiple times, based on ancestral reconstructions…

Source: Nature https://t.co/VyXMZm7GrE

[Ecological Society @ESA_org]

📣We're happy to announce the 2024 class of ESA Fellows and Early Career Fellows!

Congratulations to these ecologists whose pioneering research, dedicated mentorship & tireless advocacy improve our science & society

Read the full announcement: https://t.co/e9wHtteGEC

[Bin Wang @bioatmo_sphere]

https://t.co/pC7I0737zc

[Steven Allison @StevenDAllison]

It’s been a pleasure visiting colleagues at Lund University and Univ Copenhagen as part of this trip for @DanielTajmel’s PhD defense

[Iain H Woodhouse 伊恩🛰🌍🌳🏴󠁧󠁢󠁳󠁣󠁴󠁿🌻 @fortiain]

This is where I share everything I know about how to win grants (in academia).

The key thing you need to know: Grant success is not about the quality of your research idea. 😫

#AcademicTwitter #academia #AcademicSupport

https://t.co/ekpXMQGpgz

[Bin Wang @bioatmo_sphere]

https://t.co/iDighbWONT

[Peter Cox @coxypm]

Emergent complexity is fascinating, but emergent simplicity is often more useful. I am blown away by the linearity between cumulative emissions and global warming that we see even in the most complex Earth System Models! @GSI_Exeter @MetOffice_Sci https://t.co/37jpzOshaQ