Andrea (Julca) Batch

Economist & information scientist. Not very online at the moment

[Andrea (Julca) Batch @DreaBatch]

The U.S. Bureau of Economic Analysis is hiring Ph.D. researchers interested in machine learning applications in economics; salary range is $112,240-157,709. PDF version of posting: https://t.co/Po3SHh4SUH

[Pedro Lopes @plopesresearch]

Then, Andrea Batch (from the University of Maryland) presented: Scents and Sensibility: Evaluating Information Olfactation
Download their paper here: https://t.co/KLYGrV2qmG
Learn more about Andrea here: https://t.co/JQwSkpJ195 3/N

[Judith Amores @jdthamores]

Starting now! Live stream here:
https://t.co/1AdRCLedNK

#scent #hci #chi2020

[Andrea (Julca) Batch @DreaBatch]

Come see the talk on the study of information olfactation I did with my coauthors, Biswaksen Patnaik, @DrAkazue, and @NElmqvist!

[Jas Brooks @jas_x_flowers]

.@maggio_emanuela chairs the Smell session (10:30am CDT) w/ presentations on smell to convey data @DreaBatch, scent for safer driving @DoubleDmi, on-face olfactory devices @jdthamores, & creating temperature illusions via your nose w/ chemicals (me). 2/5

[Andrea (Julca) Batch @DreaBatch]

@sharoz @NElmqvist @eagereyes Thanks! We've posted the paper: https://t.co/OymA8zSKjA

[Niklas Elmqvist @NElmqvist]

Zhenpeng Zhao will be presenting our pioneering DataComics work (https://t.co/sNUmatGz8n) at the iConference 2019 (@iconf); this year on the University of Maryland campus on March 31 to April 3! Come join us! #visualization #datavis #iconf19 #umd #ischools https://t.co/PgUhLU0JiK

[Andrea (Julca) Batch @DreaBatch]

Oh hey, that's me (in the photo and coauthoring the study) 👃

[UMIACS @umiacs]

Sniffing out new ways to explore data? Check out this interesting work by @UofMaryland researchers in @hcil_umd who are linking virtual reality with the sense of smell to help people better process information. https://t.co/lCi2GlF8in #UMDinspires @iSchoolUMD @UMDscience

[Andrea (Julca) Batch @DreaBatch]

@StuckInTheIV This is just an image classification network trained to recognize objects and actions using video/images (input) and labels (output) from r/watchpeopledie. No part of this architecture involves hurting people.

[Andrea (Julca) Batch @DreaBatch]

@SecurityAmar @EricTopol @Health_Affairs @BEA_News [2/2] So, the spike from 2006 to 2009 is mostly a reflection of the small sample size; the less volatile blended estimate does not show a spike during that period. For a closer look, see the appendix, or hover over "Endocrinological" & click "diabetes" at https://t.co/R4WpoIgoDI

[Andrea (Julca) Batch @DreaBatch]

@SecurityAmar @EricTopol @Health_Affairs @BEA_News If you are talking about the dashed line showing change in per capita spending: The point of that figure is to show the relative instability of MEPS-only estimates vs estimates blending multiple data sources. The latter method reduces the volatility from MEPS' small sample size.

[Andrea (Julca) Batch @DreaBatch]

Check out this @Health_Affairs study, with accompanying data and interactive visualization, that I coauthored with Abe Dunn, Bryn Whitmire, Lasanthi Fernando, and Lindsey Rittmueller--U.S. health care spending growth 2000 to 2014, by disease! https://t.co/yi3kWE3zHF

[BEA News @BEA_News]

In a new way to analyze health care spending, we now have detailed data on more than 200 medical conditions. Check out the details here, https://t.co/qMzVvsxXg5.

[Andrea (Julca) Batch @DreaBatch]

@hadleywickham @NElmqvist (3/3)
(and I did just use it to RSVP for your Advanced R Topics talk in DC)
3) That's awesome! Okay to DM?

[Andrea (Julca) Batch @DreaBatch]

@hadleywickham @NElmqvist (2/3)
the generalizability from 8 participants in the paper?"
2) We hadn't tried using meetup, but that's a great suggestion

[Andrea (Julca) Batch @DreaBatch]

@hadleywickham @NElmqvist (1/3)
1) Is it too hand-wavy to say "it was a qualitative, ethnographic study, so we tried to be explicit about the limitation of

[Niklas Elmqvist @NElmqvist]

Results from our contextual inquiry with data scientists on EDA now being presented by @DreaBatch (her first #ieeevis talk!) at VAST 2017!

[John Alexis Guerra Gómez @johnguerra.bsky.social @duto_guerra]

. @DreaBatch recommendations for increasing #dataviz adaption on #DataScience. "Don't preach, teach" my favorite #hcil #ieeevis

[Adil Yalçın @adilyalcin]

#ieeevis program, interactive & visualized! https://t.co/bo1Ua98PYB Authors, countries, sessions... posters, talks, workshops, talks...

[Niklas Elmqvist @NElmqvist]

Presented my keynote on "Towards Ubiquitous Analytics" this morning for #Immersive2017; here's my summary slide of rules for IA/UA. #ieeevis

[Andrea (Julca) Batch @DreaBatch]

Deloitte article based on an interview after my work was shown at the 2016 White House Open Data Innovation Summit!
https://t.co/kNlhiVwuzH

[Niklas Elmqvist @NElmqvist]

Our work on mapping exploratory data analysis practice using contextual inquiry accepted to VAST 2017! #ieeevis https://t.co/S995Q2bw4t