Sharon Machlis

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About Me

I am (mostly) retired and eagerly exploring my next chapter! I'm blogging about my retirement journey at My Next Chapter blog.

I spent most of my career as a journalist. My final full-time post was a hybrid job combining data analysis with writing -- my official title was director of editorial data & analytics at Foundry (an IDG Inc. company), which publishes tech Web sites including Computerworld, CIO, PCWorld, and Macworld. I was also author and host of InfoWorld's Do More With R series. I still occasionally freelance for Computerworld and InfoWorld.

I've taught workshops for ProPublica, the New England First Amendment Coalition, and at Investigative Reporters and Editors conferences. And, I keynoted the 2020 European R User Meeting.

I received an ASBPE national gold award for impact/investigative online excellence (see story), a 2023 Neal Award for best instructional content, and two ASBPE national golds for best how-to articles (see 2014 and 2017 winners). I was also named the Digital Analytics Association's top practitioner in 2021.

My book, Practical R for Mass Communication and Journalism, is available from publisher CRC Press and Amazon (you can see Six chapters free online).

I hold an Extra-class ham radio license and was honored by the Association of Radio Amateurs of Bosnia & Herzegovina "for extraordinary contribution to transmitting humanitarian messages of the citizens of Bosnia-Herzegovina" during the 1992-95 war.

I'm somewhat obsessed with both generative AI and the R programming language. You can check out some of the Web apps I've coded at https://apps.machlis.com/. My other hobbies include photography, travel, hiking, crocheting, and dabbling with languages (currently Brazilian Portuguese and American Sign Language).

You can follow me on Bluesky at https://bsky.app/profile/smachlis.bsky.social, Mastodon at @smach@masto.machlis.com and my searchable app with my Mastodon posts, and on LinkedIn.

My Recent InfoWorld and Computerworld Articles

In Memoriam: Lucas Mearian, 1962-2025 2025-10-29

How to run an R data visualization chatbot you can talk to 2025-10-16

Chat with data the easy way in R or Python 2025-09-04

Databot: AI-assisted data analysis in R or Python 2025-09-04

How to create your own RAG applications in R 2025-07-17

GenAI tools for R: New tools to make R programming easier 2025-03-25

3 of the best LLM integration tools for R 2025-03-11

Analyze text using natural language with Claude for Google Sheets 2024-12-17

Create searchable Bluesky bookmarks with R 2024-12-09

FAQ: Getting started with Bluesky 2024-12-09

Shiny for Python adds chat component for generative AI chatbots 2024-07-23

Maker of RStudio launches new R and Python IDE 2024-06-24

5 easy ways to run an LLM locally 2024-03-28

How to run R in Visual Studio Code 2024-02-15

Posit lays off R Markdown, knitr creator Yihui Xie 2024-01-05


My Data-Related Mastodon Posts

After days of family, friends & feasts, wouldn't it be fun to attend an R-Ladies meetup about AI and R? 😀
Join me at 10 am ET / 4 pm CET Sunday of US Thanksgiving weekend at an R-Ladies Paris virtual meetup! (Sadly I will not be in Paris….)
meetup.com/rladies-paris/event (2025-11-20 00:41:35.228)  >>

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My election data-and-reporting retirement project turned out to be surprisingly intense -- and rewarding! I missed having a team like I did when I was working, but I definitely didn't miss the higher stress. My latest post: "Work-Adjacent Projects (Cont.):

nextchapter.machlis.com/posts/

(2025-11-16 13:43:17.984)  >>

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Want to easily use different LLMs for different tasks while solving a problem with ? The {mini007} 📦 by Dr. Mohamed El Fodil Ihaddaden is a CrewAI-like agent orchestration framework for R, built on top of ellmer.
Just saw it at R+AI and looks very cool.
github.com/feddelegrand7/mini0 (2025-11-12 18:58:04.571)  >>

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Interested in using your data skills for public service locally? My 5-minute lightning talk aims to give you some ideas for inspiration! Now on YouTube:
youtu.be/fSAoCcZD--Y?si=Y2MLNt (2025-11-11 17:19:23.338)  >>

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See more posts . . .