Hi #poptwitter! 🌍
Today, we’re excited to have @ikashnitsky for our first #PEExpertTwitterTakeover! He will be sharing info about his research all day, so make sure to follow along! Thank you, Ilya, for making this intro video and the floor is now all yours!
Today, we’re excited to have @ikashnitsky for our first #PEExpertTwitterTakeover! He will be sharing info about his research all day, so make sure to follow along! Thank you, Ilya, for making this intro video and the floor is now all yours!
.@ikashnitsky: I’ve just finished my PhD thesis on unequal ageing in the regions of Europe, which I wrote at @NIDI_KNAW under the supervision of @BeerJoop and @leo_wissen. Soon to be defended at @FRW_RUG
All the papers & materials for the project are here osf.io/d4hjx/
All the papers & materials for the project are here osf.io/d4hjx/
The outbreak of #COVID19 highlighted the importance of local differences in population age structures – aged populations are more vulnerable. With @jm_aburto we explored pandemic risks across unequally aged regions of Europe osf.io/abx7s/
Availability of intensive care units turned out to be the bottleneck of the hospital systems during the #COVID19 pandemic. I contributed to the @OxfordDemSci analysis of the 🏴&🏴 situation
@MarkDVerhagen @drjenndowd @melindacmills
osf.io/g8s96/
@MarkDVerhagen @drjenndowd @melindacmills
osf.io/g8s96/
In a similar way w/ @AntonBarchuk we analysed the availability of intensive care units in regions of Russia, taking into account population age structures and hospitalization ratios
[✍️ for @meduza_en – tnx @anershov @KevinRothrock]
meduza.io/en/feature/202…
[✍️ for @meduza_en – tnx @anershov @KevinRothrock]
meduza.io/en/feature/202…
My passion is #dataviz. Using modern tools like #rstats we can communicate academic findings very efficiently and creatively. I teach dataviz intense week-long courses and shorter workshops. The next course will be an online one given at @MPIDRnews bit.ly/dataviz-mpidr-… 
A fun #dataviz project that we did w/ @jschoeley used an #rstats algorithm for ternary color-coding technique – the {tricolore} package. We showcased it in a research letter to @TheLancet mapping unequally aged regions of Europe
doi.org/10/dfnv
doi.org/10/dfnv
Ternary colorcoding is a flexible #dataviz approach usable with any compositional data that splits in three non-negative parts. We used it w/ @jm_aburto to tell the story of premature male mortality (mostly homicides) in Mexico demographic-research.org/volumes/vol41/…
I’m proud to be part of the #rstats developers team led by @timriffe1 working to unify standard demographic methods in {DemoTools} package
timriffe.github.io/DemoTools/
timriffe.github.io/DemoTools/
The next big projects @jwvaupel launches at @CPop_SDU now are focused on lifespan inequality & in particular the (non)survival to pension age [funded by @RockwoolFonden and @ERC_Research].
I’m glad to be part of both and look forward to years of exciting demographic research!
I’m glad to be part of both and look forward to years of exciting demographic research!
That’s it for our first #PEExpertTwitterTakeover! Thank you Ilya @ikashnitsky for sharing all this great information about your research. We wish you much luck as you wrap up your PhD and continue your research in your postdoc position!
