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1000 results for “nihar”
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Interested in using AI skills for Claude/Codex in journalism? Check out Aaron Kessler's #NICAR26 session repo: https://github.com/amkessler/nicar2026_skills_in_codex_claude
Another great resource: Joe Amditis's skills collection for journalists/researchers/academics https://skills.amditis.tech/ [corrected link]
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Interested in using AI skills for Claude/Codex in journalism? Check out Aaron Kessler's #NICAR26 session repo: https://github.com/amkessler/nicar2026_skills_in_codex_claude
Another great resource: Joe Amditis's skills collection for journalists/researchers/academics https://skills.amditis.tech/ [corrected link]
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Interested in using AI skills for Claude/Codex in journalism? Check out Aaron Kessler's #NICAR26 session repo: https://github.com/amkessler/nicar2026_skills_in_codex_claude
Another great resource: Joe Amditis's skills collection for journalists/researchers/academics https://skills.amditis.tech/ [corrected link]
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Interested in using AI skills for Claude/Codex in journalism? Check out Aaron Kessler's #NICAR26 session repo: https://github.com/amkessler/nicar2026_skills_in_codex_claude
Another great resource: Joe Amditis's skills collection for journalists/researchers/academics https://skills.amditis.tech/ [corrected link]
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Interested in using AI skills for Claude/Codex in journalism? Check out Aaron Kessler's #NICAR26 session repo: https://github.com/amkessler/nicar2026_skills_in_codex_claude
Another great resource: Joe Amditis's skills collection for journalists/researchers/academics https://skills.amditis.tech/ [corrected link]
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1/5 Follow. The. Money. If you missed this #NICAR26 talk I suggest taking a look at these slides as there's a lot of great data out there on government contracts. tinyurl.com/NICAR26-cont...
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Interesting #NICAR26 session this AM on creating a background 'beat book' for local journalists based on a publication's archives, AND adding other data for more context. The idea seems transferable for other uses too.
Repo: https://github.com/NewsAppsUMD/nicar2026 -
Interesting #NICAR26 session this AM on creating a background 'beat book' for local journalists based on a publication's archives, AND adding other data for more context. The idea seems transferable for other uses too.
Repo: https://github.com/NewsAppsUMD/nicar2026 -
Interesting #NICAR26 session this AM on creating a background 'beat book' for local journalists based on a publication's archives, AND adding other data for more context. The idea seems transferable for other uses too.
Repo: https://github.com/NewsAppsUMD/nicar2026 -
Interesting #NICAR26 session this AM on creating a background 'beat book' for local journalists based on a publication's archives, AND adding other data for more context. The idea seems transferable for other uses too.
Repo: https://github.com/NewsAppsUMD/nicar2026 -
Interesting #NICAR26 session this AM on creating a background 'beat book' for local journalists based on a publication's archives, AND adding other data for more context. The idea seems transferable for other uses too.
Repo: https://github.com/NewsAppsUMD/nicar2026 -
I've been at a few #NICAR26 Python AI sessions but haven't heard this package mentioned: chatlas from Posit (formerly RStudio) which lets you use LLMs from various providers. Might be of interest to some?
https://posit.co/blog/announcing-chatlas/
#GenAI #Python -
I've been at a few #NICAR26 Python AI sessions but haven't heard this package mentioned: chatlas from Posit (formerly RStudio) which lets you use LLMs from various providers. Might be of interest to some?
https://posit.co/blog/announcing-chatlas/
#GenAI #Python -
I've been at a few #NICAR26 Python AI sessions but haven't heard this package mentioned: chatlas from Posit (formerly RStudio) which lets you use LLMs from various providers. Might be of interest to some?
https://posit.co/blog/announcing-chatlas/
#GenAI #Python -
I've been at a few #NICAR26 Python AI sessions but haven't heard this package mentioned: chatlas from Posit (formerly RStudio) which lets you use LLMs from various providers. Might be of interest to some?
https://posit.co/blog/announcing-chatlas/
#GenAI #Python -
Behind the story: 14 stations collaborated on this project. 🙌 Coincidentally, I taught a spreadsheets course at #NICAR26 on the same day that this spreadsheet project aired after weeks in the making! Tune in tonight to @nbcnews.com-owned stations for the local version of how to save time & money.
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Analyzing Images & Video with AI - Jonathan Soma's #NICAR26 session presentation
Links to lots of great Colab notebooks!
https://jsoma.github.io/workshop-ai-images-video/nicar-2026/
#GenAI #Python -
R folks in Jonathan Soma's #NICAR26 session on Analyzing Images & Video with AI: The {ellmer} #RStats 📦 can request structured data, and you can use multiple providers & LLMs
Get started: https://ellmer.tidyverse.org/articles/ellmer.html
Structured data: https://ellmer.tidyverse.org/articles/structured-data.html -
25 free resources, presentations & tip sheets so far added to my searchable table of #NICAR26 materials, including
10 Things you Didn't Know You Could Do in R
AI Glossary for Journalists
Decoding Deportation Data
https://apps.machlis.com/shiny/nicar20_resources/
Plus lots from prior yrs
##RStats #Python #GenAI #DDJ -
25 free resources, presentations & tip sheets so far added to my searchable table of #NICAR26 materials, including
10 Things you Didn't Know You Could Do in R
AI Glossary for Journalists
Decoding Deportation Data
https://apps.machlis.com/shiny/nicar20_resources/
Plus lots from prior yrs
##RStats #Python #GenAI #DDJ -
25 free resources, presentations & tip sheets so far added to my searchable table of #NICAR26 materials, including
10 Things you Didn't Know You Could Do in R
AI Glossary for Journalists
Decoding Deportation Data
https://apps.machlis.com/shiny/nicar20_resources/
Plus lots from prior yrs
##RStats #Python #GenAI #DDJ -
25 free resources, presentations & tip sheets so far added to my searchable table of #NICAR26 materials, including
10 Things you Didn't Know You Could Do in R
AI Glossary for Journalists
Decoding Deportation Data
https://apps.machlis.com/shiny/nicar20_resources/
Plus lots from prior yrs
##RStats #Python #GenAI #DDJ -
Want to find out more about text mining with R? At his #NICAR26 presentation, Prof Rob Wells mentioned @juliasilge 's book on tidy text mining
https://www.tidytextmining.com/
She also has a free interactive online course https://juliasilge.com/blog/learn-tidytext-learnr/
The NICAR session GitHub repo: https://github.com/profrobwells/nicar2026/tree/main/NICAR_Text_Analysis_2026
#RStats -
For our #NICAR26 panel we threw together this free, open-source glossary of AI terms and foundational concepts that journalists should know. We will be adding to this! (Forked from prior work by @[email protected] @[email protected] et al) aiglossary.news
aiglossary.news -
On seeking data about immigration enforcement in the US: "Every records request should start with reporting", Will Craft from the Guardian tells #NICAR26. Know what you should ask for, he advised. "You have to be very very very precise." In other words: Do a lot of work prior to filing a FOIA.