#Tag
If anyone comes across a #statistics or #DataScience job in an English or French speaking country safe for a family with Black and gay people…hmu.
Not urgently looking…but not not looking.
Prefer focus on #climate
If anyone comes across a #statistics or #DataScience job in an English or French speaking country safe for a family with Black and gay people…hmu.
Not urgently looking…but not not looking.
Prefer focus on #climate
"Six questions to ask before jumping into a spreadsheet"
- Stephanie Melchor, for Nature
https://www.nature.com/articles/d41586-025-02511-z
Nice to see @R_Foundation, @rOpenSci, @OpenRefine and @thecarpentries all mentioned in the same article !
"Six questions to ask before jumping into a spreadsheet"
- Stephanie Melchor, for Nature
https://www.nature.com/articles/d41586-025-02511-z
Nice to see @R_Foundation, @rOpenSci, @OpenRefine and @thecarpentries all mentioned in the same article !
I keep seeing more and more posts about how Covid magically now has fewer deaths than the flu. Please keep in mind a couple of things about data science and Covid.
As Covid deaths reporting continued into 2021 and 2022, more and more data reporters wanted to go "back to normal" and support that narrative, so the definition of a "Covid death" was changed. Depending on the state or other reporting agency, a "Covid death" can be assigned in different ways. For example, in 2021 New Hampshire changed Covid death assignment to only hospitalized patients taking specific meds. If you died from Covid but didn't fit this narrow definition, your death was recorded as something else, and not reported as a Covid death. Using limitations on the definition of cause of death, Covid deaths have been minimized for years by reporting agencies.
Many states and other groups see this type of data reportng and trending as meaningful for only the past 3 years. If the data reporting on excess mortality is presented with limited years, we no longer see the rise from pre-Covid excess mortality into the start of Covid; those years are no longer presented in the graphs and charts. It can appear that excess mortality is steady or even actually dropping, if the data reported are both tainted and limited.
Covid also contributes to deaths in a way that can be hidden for those who deny the affects that Covid has on the immune system and the damage it does to the body internally. This type of damage can be somewhat invisible, since it happens after the acute infection symptoms have cleared up or lessened. With so many people avoiding saying the word "Covid", and especially so many in the healthcare industry, those who are recording deaths on certificates are more likely to put the immediate cause - heart attack, stroke, kidney disease, etc. - instead of the actual driver of those diseases, which is Covid.
I have been present when a hospice worker recorded the death of a family member, and they actually asked me and my husband what they should put as the cause of death on the death certificate! We always want to think it's an official declaration, but given my experience, it could also be a family member stating the recorded cause of death for many people, thus hiding even more Covid deaths if the family do not want to say the word "Covid".
Many people continue to prefer to deny the lethality of Covid. They continue to say "it's mild" and "it's just like the flu/cold/allergies". And now we see this continued into the concept that somehow the flu causes more deaths than Covid. This is going to be repeated over and over, and more and more people will believe it, and then repeat it themselves. They will point to the flawed data and shoddy graphs to "prove" it.
Please keep this in mind as we go through another Covid wave, and enter another Winter season full of unmasked sick people trying to convince you it's best to go into work and school while spreading their illness to everyone. Covid did not stop being dangerous. The data is what became more dangerous.
#Covid #CovidIsNotOver#DataScience #LongCOVID#ExcessMortality#CovidDeaths
I keep seeing more and more posts about how Covid magically now has fewer deaths than the flu. Please keep in mind a couple of things about data science and Covid.
As Covid deaths reporting continued into 2021 and 2022, more and more data reporters wanted to go "back to normal" and support that narrative, so the definition of a "Covid death" was changed. Depending on the state or other reporting agency, a "Covid death" can be assigned in different ways. For example, in 2021 New Hampshire changed Covid death assignment to only hospitalized patients taking specific meds. If you died from Covid but didn't fit this narrow definition, your death was recorded as something else, and not reported as a Covid death. Using limitations on the definition of cause of death, Covid deaths have been minimized for years by reporting agencies.
Many states and other groups see this type of data reportng and trending as meaningful for only the past 3 years. If the data reporting on excess mortality is presented with limited years, we no longer see the rise from pre-Covid excess mortality into the start of Covid; those years are no longer presented in the graphs and charts. It can appear that excess mortality is steady or even actually dropping, if the data reported are both tainted and limited.
Covid also contributes to deaths in a way that can be hidden for those who deny the affects that Covid has on the immune system and the damage it does to the body internally. This type of damage can be somewhat invisible, since it happens after the acute infection symptoms have cleared up or lessened. With so many people avoiding saying the word "Covid", and especially so many in the healthcare industry, those who are recording deaths on certificates are more likely to put the immediate cause - heart attack, stroke, kidney disease, etc. - instead of the actual driver of those diseases, which is Covid.
I have been present when a hospice worker recorded the death of a family member, and they actually asked me and my husband what they should put as the cause of death on the death certificate! We always want to think it's an official declaration, but given my experience, it could also be a family member stating the recorded cause of death for many people, thus hiding even more Covid deaths if the family do not want to say the word "Covid".
Many people continue to prefer to deny the lethality of Covid. They continue to say "it's mild" and "it's just like the flu/cold/allergies". And now we see this continued into the concept that somehow the flu causes more deaths than Covid. This is going to be repeated over and over, and more and more people will believe it, and then repeat it themselves. They will point to the flawed data and shoddy graphs to "prove" it.
Please keep this in mind as we go through another Covid wave, and enter another Winter season full of unmasked sick people trying to convince you it's best to go into work and school while spreading their illness to everyone. Covid did not stop being dangerous. The data is what became more dangerous.
#Covid #CovidIsNotOver#DataScience #LongCOVID#ExcessMortality#CovidDeaths
Hey y'all. My wife recently graduated with a masters in CS (main focus areas being data science and AI/ML) and is still looking for a job as the market is utter shit. We're in the Bay Area for the foreseeable future, so she's currently looking for job opportunities either in the area or fully remote!
#GetFediHired#SFBayArea#ComputerScience#MachineLearning#DataScience
Hey y'all. My wife recently graduated with a masters in CS (main focus areas being data science and AI/ML) and is still looking for a job as the market is utter shit. We're in the Bay Area for the foreseeable future, so she's currently looking for job opportunities either in the area or fully remote!
#GetFediHired#SFBayArea#ComputerScience#MachineLearning#DataScience
🏢 BlaBlaCar is hiring a Junior Data Scientist
Location: 🇫🇷 Paris, France
#DataScience#DataScientist #tech#JobSearch#GetFediHired#HashyJobs # #BlaBlaCar
https://datasciencejobs.com/jobs/junior-data-scientist-blablacar-france-2/
💼 Sensor Tower is hiring a Data Scientist
Location: 🇵🇱 Warsaw, Poland
#DataScience#DataScientist #tech#JobSearch#GetFediHired#HashyJobs #
https://datasciencejobs.com/jobs/data-scientist-sensor-tower-poland-4/
💼 Octopus Energy is hiring a Data Platform Engineer
Location: 🇬🇧 London, United Kingdom
#DataScience#DataScientist #tech#JobSearch#GetFediHired#HashyJobs#UK
https://datasciencejobs.com/jobs/data-platform-engineer-octopus-energy-united-kingdom-3/
💼 Almedia is hiring a Senior Data Engineer
Location: 🇩🇪 Berlin, Berlin, Germany
#DataScience#DataScientist #tech#JobSearch#GetFediHired#HashyJobs # #Almedia
https://datasciencejobs.com/jobs/senior-data-engineer-almedia-germany-6/
The joys of saving money by running analyses with preemptible cloud resources!
#######
[1] "Out of memory"
NULL
[1] "Preempted"
[1] 1 2 3 16 24 33 39 64 74 103
[1] "No results yet (if they're missing from the above they were preempted before logging)"
4 5 7 14 30 69 107 112
We're excited to release http://stemcoding.github.io which has an activity explorer where you can find all 44 of our activities! Check it out! #iteachphysics #iteachmath#AAPTSM25 #datascience#CS4All @edutooters
We're excited to release http://stemcoding.github.io which has an activity explorer where you can find all 44 of our activities! Check it out! #iteachphysics #iteachmath#AAPTSM25 #datascience#CS4All @edutooters
New server, new #introduction:
👋 Hi! I'm Eric! I'm a scientific programmer & educator who writes mostly 
code. I currently work part time at #UniversityOfArizona where I help researchers by making R packages, #Shiny apps, automated data workflows, and training them on #ReproducibleResearch practices. I also mentor data scientists for @Posit Academy. I am #OpenToWork as a contractor if any of those skills sound useful to you.
My background is in plant chemical ecology and population ecology and for my PhD I studied #tea and did field work in China. I love tea (although I've been drinking coffee more and more lately) and practice #GongFuCha when I can. I love #foraging and tasting new things.
I currently live in #Tucson but the #BayArea will always be my home.
#rstats #rse #datascience #dataviz #ecology #chemistry #statistics
New server, new #introduction:
👋 Hi! I'm Eric! I'm a scientific programmer & educator who writes mostly code. I currently work part time at #UniversityOfArizona where I help researchers by making R packages, #Shiny apps, automated data workflows, and training them on #ReproducibleResearch practices. I also mentor data scientists for @Posit Academy. I am #OpenToWork as a contractor if any of those skills sound useful to you.
My background is in plant chemical ecology and population ecology and for my PhD I studied #tea and did field work in China. I love tea (although I've been drinking coffee more and more lately) and practice #GongFuCha when I can. I love #foraging and tasting new things.
I currently live in #Tucson but the #BayArea will always be my home.
#rstats #rse #datascience #dataviz #ecology #chemistry #statistics
Want to really understand how RAG, vector search & chunking work?
Then stop reading theory and build your own chatbot.
This guide shows you how to create a local PDF chatbot using:
☕ LangChain
☕ FAISS (vector DB)
☕ Mistral via Ollama
☕ Python & Streamlit
Step-by-step, from environment setup to deployment. Ideal for learning how Retrieval-Augmented Generation works in practice.
Comment “WANT” if you need the friends link to the article, as you don’t have paid Medium.
#rag #tech #Technology #chatbot #AI #ki #python #vector #langchain #datascience #DataScientist #streamlit
Want to really understand how RAG, vector search & chunking work?
Then stop reading theory and build your own chatbot.
This guide shows you how to create a local PDF chatbot using:
☕ LangChain
☕ FAISS (vector DB)
☕ Mistral via Ollama
☕ Python & Streamlit
Step-by-step, from environment setup to deployment. Ideal for learning how Retrieval-Augmented Generation works in practice.
Comment “WANT” if you need the friends link to the article, as you don’t have paid Medium.
#rag #tech #Technology #chatbot #AI #ki #python #vector #langchain #datascience #DataScientist #streamlit
Data manipulation within the US Federal Government [1]
👉Government datasets modified without notice.
▪️We gathered metadata from the US Department of Health and Human Services, CDC, and Veterans Affairs database harvest sources [... ] that were modified between Jan 20 and March 25, 2025.
▪️We found that 114 (49%) of the 232 included datasets were substantially altered.
⭐SOME CHANGES⭐
- “Social determinants of health” to “non
medical factors”
- “Gender” to “sex”
- “female details” column deleted
▪️The agencies involved have not issued any statements confirming or explaining these changes [...]
▪️Despite Secretary Robert F Kennedy Jr's (Department of Health and Humana Services) calls for “radical transparency”, unlogged data manipulation moves away from meaningful transparency.
▪️Only 15 (13%) of the 114 altered datasets logged or otherwise indicated that the change had occurred.
[1] 🌐https://www.thelancet.com/journals/lancet/article/PIIS0140-6736(25)01249-8/fulltext
@publichealth @psychology @sociology @datascience #publichealth #datascience #science #research #health #government #criticalthinking #hhs #cdc #va @bicmay
A space for Bonfire maintainers and contributors to communicate
