Starting now! I’ll be live tweeting this @DataSciJedi-sponsored session on Delivering Data Differently at #JSM2022. #JEDIatJSM
Our first speaker is @ajrgodfrey. He speaks from his experiences as a blind person. He emphasizes the importance of independence and dignity for the visually impaired. #JEDIatJSM
“A blind person must be able to collect, analyze, interpret, and manipulate scientific data in order to answer questions and communicate the knowledge gained from their results in a way that can be readily understood by their sighted peers.“ @ajrgodfrey #JEDIatJSM
Enumeration of every point on a scatter plot doesn’t make sense. That’s why sighted people add summary statistics to their plots. @ajrgodfrey #JEDIatJSM
What can you do today? Make sure your document formats are accessible. HTML and Docs are accessible. PDFs are not and can shut people out. Providing source files increases accessibility. @ajrgodfrey #JEDIatJSM
Next up - @kimberlykowal talks about working with astrophysical data to make the invisible visible. But she realized that the beautiful images she made of exploding stars weren’t accessible to all colleagues. So she uses 3d printing to produce datasets for the visually impaired.
During the pandemic, they started a rapid response program on sonifying 2d images (making sounds that convey the content of an image). She played us a very cool snippet of the center of our Milky Way. This project went viral on SoundCloud (>1.5m listens). @kimberlykowal Image
Next up, astronomer @abieryla recalls climbing up rickety stairs to a telescope and recognizing early on that this wasn’t accessible to all of her students. One of the first things they did was buy a tactile printer to print sheets of paper that are rough to the touch. #JEDIatJSM
They also designed a small, inexpensive device “LightSound” to sonify the sound of a solar eclipse. It uses open source software that is freely available. @abieryla #JEDIatJSM Map of South America where ...
Now, Ben Rubin @earstudio. He describes how using alternative modalities of data delivery (like sonification) enhances accessibility. And it is also a powerful tool to prompt critical thinking about the data itself (by engaging with it in a different way). #JEDIatJSM
Finally, Mark Hansen @cocteau describes journalistic data, including data that governments are not incentivized to collect. He gives the example of statistics on outcomes of people who are deported. Telling stories that are not otherwise being told. #JEDIatJSM
When learning about multivariate statistics, @ajrgodfrey describes having no trouble understanding the concept of multi-dimensional data. He wondered why his sighted classmates struggled with the idea (they were stuck in the 2D and 3D world, but he was not!). #JEDIatJSM

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More from @nataliexdean

Jul 10
If a new SARS-CoV-2 variant is spreading 50% faster than an old one, does the new variant have a 50% higher R0? With each new variant more transmissible than the last, does that mean the latest variants have an R0 of 18? 😳

A short explainer…
1/5
A new variant may spread faster for a few main reasons (a non-exhaustive list):

- An increase in inherent transmissibility (e.g. higher viral load, better binding to cells)

- An increased ability to infect people with some baseline immunity (“immune evasion”)

2/5
Just because something has a 50% *growth advantage* in a population does not mean it is 50% more *transmissible.* Some (or most) of that growth advantage may come from immune evasion. 3/5
Read 5 tweets
Jun 10
I enjoyed participating in yesterday's #EEID2022 panel on scientific communication - what has worked, what hasn't, and what I've learned. For these types of panels, I have made a conscious decision to be very honest, including the good and the bad experiences. 1/
Yesterday, that included me telling the audience how much I angsted over questions like "Is it safe to do X? Our viewers want to know!" Or pressure to stay up to date on everything, or say yes to all requests. Worry that I'm saying the wrong thing or don't belong. 2/
Admitting vulnerability is a trait I admire in others because it takes bravery and normalizes common challenges. IMO, it's a similar bravery to scientific communication in the first place. Public engagement involves putting yourself out there in a way that can be intimidating. 3/
Read 4 tweets
Jun 6
Tracking down primary sources for the estimated 85% effectiveness of smallpox vaccines against #monkeypox is harder than I thought.

From what I can gather, ACAM2000 effectiveness was estimated from observational data of outbreaks in Africa. (Which studies are these?) ...
And then the JYNNEOS vaccine is cited as having "up to 85% effectiveness."

Per CDC "The effectiveness of JYNNEOS against monkeypox was concluded from a clinical study on the immunogenicity of JYNNEOS and efficacy data from animal studies." ...
I interpret this as non-inferiority data comparing JYNNEOS and ACAM2000 immune responses (hence the "up to" phrasing). (e.g. nejm.org/doi/10.1056/NE…)

Ultimately, I'm curious about the quality of the original 85% estimates.
Read 5 tweets
Apr 13
Recently I learned the term “hidden curriculum,” and it felt like an aha moment. A very short story about one of my hidden curriculum moments. 1/7
edglossary.org/hidden-curricu…
I interviewed for biostats PhD programs during my senior year of college. I really wasn’t sure what to expect at my interviews. I remember being so thrilled to be flown anywhere. I showed up enthusiastic and ready to learn about the field. 2/7
During a one-on-one interview, I asked a (white, male, very senior) faculty member to tell me about his research. I thought this to be a perfectly reasonable question. I really didn’t know much about what biostatisticians did, the range of projects they worked on. 3/7
Read 10 tweets
Jan 21
The end of the pandemic? Let's talk about modeling assumptions and future uncertainty. Are the IHME projections discussed in this @TheLancet comment assuming ~90% of Omicron infections are asymptomatic and thus likely to be missed? 1/5
thelancet.com/journals/lance…
The Omicron waves have certainly been large and many infections have been missed, but the evidence that the asymptomatic fraction is *so high* is thin. A model with this assumption would seem to attribute the rapid turnaround in a wave entirely to running out of susceptibles. 2/5
But in reality, there can be many factors that cause a turnaround. A build up of immunity is maybe the largest one, but also temporary protective changes in behavior. (I also think about our complex network structures, and whether a wave has fully percolated through.) 3/5
Read 5 tweets
Dec 9, 2021
A sketch to explain how a new variant may appear milder even with no change in underlying virulence. This can occur because, when calculating the fraction of cases that are severe, the denominator now includes many re-infections that had previously been averted. A thread. 1/8 Image
Imagine a variant with little capacity for re-infection. The susceptible population is exposed to enough virus to infect. The infections include severe, moderate, mild disease, and asymptomatic infections. (Here I point out that these sketches are not to scale.) 2/8 Image
But imagine our population also has a large fraction who have been previously infected. Because the variant has little capacity to re-infect, these potential infections were averted. 3/8 Image
Read 9 tweets

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