Comments (9)
I made a twitter list of pdx science people including (among others) those listed by @daniellecrobinson and @laderast:
https://twitter.com/datapointier/lists/pdx-science/members
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Jeff's Points:
Social Media is an invaluable tool for developing social networks. Networking doesn't have to be icky; oftentimes it's just about finding people with your same interests. Sharing and commenting on papers and projects (your own and others) you are passionate about is one way to build your network.
My own thoughts:
- Twitter is good for figuring out who you'd like to meet by "pre-interacting" with them. Look for hashtags that interest you (such as #rstats or #datascience) and ask questions or join a discussion.
- Meetups (especially the Data Science Meetups) are a great way to meet people. View talks at such meetups as an invitation for discussion rather than a lecture.
from datadonutsjeffleek.
PDX Science Twitter List:
https://twitter.com/AuntLindsey
https://twitter.com/denormalize
https://twitter.com/pdxrlang
https://twitter.com/WWCodePortland
https://twitter.com/wispdx
https://twitter.com/acs_pdx
https://twitter.com/data_at_reed
https://twitter.com/MozillaScience
https://twitter.com/daniellecrobins
https://twitter.com/MonarchInit
https://twitter.com/PCC_STEMCenter
https://twitter.com/donutjs
https://twitter.com/sciencemarchpdx
https://twitter.com/rchampieux
https://twitter.com/lilscientista
https://twitter.com/A4VDiS
https://twitter.com/tladeras
https://twitter.com/AbhiNellore
https://twitter.com/dr_lrwyatt
https://twitter.com/old_man_chester
https://twitter.com/rOpenSci
PLEASE ADD MORE!
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How did Jeff become Jeff? Path on social media?
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Are things different now?
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Social media like tools to share within a consortia?
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How to share smaller data than a MPU?
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How to reach new audiences rather than preaching to a choir? Pros and cons of both approaches?
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This is great, thanks Jessica!
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Related Issues (3)
- Data Sharing HOT 2
- Preprints in Publication HOT 1
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