Joined April 2013
- Tweets 261
- Following 342
- Followers 218
- Likes 2,286
24 Photos and videos
Nicole Hengesbach retweeted
3 Jan 2025
šØ Calling all #DataVisualization enthusiasts! šØ
Iām looking for participants to help with research on data visualization #design processes. If youāve got 2 hours to spare and you've used #R before, Iād love to hear from you!
#Research #DataScience #DataVisualisation #dataviz
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Nicole Hengesbach retweeted
8 Aug 2024
@DatastoriesMU project, 3 artist/writer in residence posts - if you have any questions about roles we're holding an online info session about posts, Aug 13th, 14.00. Teams link is in the job booklet universityvacancies.com/maynā¦
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Nicole Hengesbach retweeted
We are recruiting :
Seeking a Data Visualisation Specialist for a 1-month contract at the University of Warwick. Strong Python & machine learning skills required.
Apply by Aug 7th!
#dataviz #python #machinelearning #researchjobs
portal.unitemps.com/Search/Jā¦
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Nicole Hengesbach retweeted
30 Jun 2024
Call for Papers: Special Issue on Critical Data Visualization
Submissions due: 31 October 2024
computer.org/digital-libraryā¦
Guest editors:
Georgia Panagiotidou
Andrew McNutt
Derya Akbaba
Nicole Hengesbach
Miriah Meyer
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Nicole Hengesbach retweeted
7 May 2024
As my PhD comes to an end, I'm looking for a job
Slide into my DMs if you are in need of
š¤ a data nerd
š” strong UX, UI and frontend skills
š love for datavis
š leadership experience
š an experienced designer with a research mindset
or share this tweet and say sth, nice :)
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Nicole Hengesbach retweeted
16 Apr 2024
Hi everyone! As part of my PhD research (@CIMethods), I am organising a workshop study with three available dates for attendance (on campus) next week.
Dates available (all at 2-5pm):
- Monday (22.04) - in collaboration with @WarwickRUG
- Tuesday (23.04)
- Thursday (25.04)
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Nicole Hengesbach retweeted
12 Mar 2024
CIM is thrilled to announce our upcoming Centre for Doctoral Training in Diversity in Data Visualization (DIVERSE-CDT)Ā with colleagues from @CityUniLondon Ā The #CDT will be recruiting over 60 PhDs starting October 2025. #dataviz #EPSRC_CDTs
warwick.ac.uk/newsandevents/ā¦
ALT Abstract decorative image
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14 Feb 2024
Itās still setting in but I passed my PhD viva with minor corrections last week! I want to thank the examiners @cagatay_turkay and Peter A. Hall (@UAL) and my supervisor Greg McInerny (@CIMethods) for a wonderful viva experience and @j_p_albuquerque for the support from afar.
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Nicole Hengesbach retweeted
2 Feb 2024
Looking for participants!
Weāre running a user study to evaluate a prototype interface for discussing data visualizations. If you are interested in our work and want to support our research, join one of the sessions!
Registration: forms.gle/tAd5EHWKwy8vJxQw6
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Nicole Hengesbach retweeted
28 Nov 2023
A very special vacancy @VU_IVM! š¢
We're looking for a data visualisation expert / science-artist for a (postdoc) researcher position in the @PerfectSTORM_VU project. werkenbij.vu.nl/ad/postdoc-pā¦
Your role would be to visualise drought-flood storylines in our cases & across the world.
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Nicole Hengesbach retweeted
23 Nov 2023
We are #hiring. We are excited to say that we are starting a new phase of growth. As we plan for the future, we will be making multiple new appointments for an Assistant Professor/Associate Professor/Reader
info: warwick-careers.tal.net/vx/aā¦
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Nicole Hengesbach retweeted
7 May 2023
š¢ Data governance meets urban visualisation at #CityVis Workshop 2023 @ieeevis
Interested in joining the conversation? Submit an abstract or learn more here: cityvis.io/workshops/2023/ š
@sgeoviz @dasharp @LynBartram
#datagovernance #dataviz #callforparticipation
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13 May 2023
Iāll be on the job market this fall and am interested in #postdoc and research positions around critical visualisation, critical data studies, and related areas. 1/4
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13 May 2023
With case studies on tree data and building age data, I explored how to surface and represent seams that remain hidden in seamless visualisations but can reflect underlying decisions, limitations, definitions, and assumptions in data and their visualisation. 3/4
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13 May 2023
This work was driven by my interest in the wider qualities and limitations of data, how they represent what they represent, and how they are then represented and made explorable in visualisations.
For more info and contact details please see here: nicolehengesbach.github.io/ 4/4
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Nicole Hengesbach retweeted
9 May 2023
#CityVis is back @ieeevis. This year we focus on the interplay between data visualization and data governance. More info and call for short papers: cityvis.io/workshops/2023/
7 May 2023
š¢ Data governance meets urban visualisation at #CityVis Workshop 2023 @ieeevis
Interested in joining the conversation? Submit an abstract or learn more here: cityvis.io/workshops/2023/ š
@sgeoviz @dasharp @LynBartram
#datagovernance #dataviz #callforparticipation
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Nicole Hengesbach retweeted
21 Mar 2023
We have two opening positions to work with us for next academic year:
- Assistant Professor in Data Science and Studies: atsv7.wcn.co.uk/search_enginā¦
- Assistant Professor in Data Visualisation: atsv7.wcn.co.uk/search_enginā¦
š
Closing date: 16 Apr 2023
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21 Jan 2023
Our paper on exploring and representing data limitations with/in visualisation/s is out, with big thanks to @InfoPlusConf.
w/ @GregMcI @j_p_albuquerque
doi.org/10.1075/idj.22006.heā¦
20 Jan 2023
We are very happy to announce our special issue of Information Design Journal with 10 contributions from #infoplus2021 is now fully published as #OpenAccess:
doi.org/10.1075/idj.27.1
A big thank you again to our wonderful authors and reviewers!
#DataVis #InformationDesign
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21 Jan 2023
The case study applies visualisation critique and design to surface different types of missingness in/of urban tree data and is part of my PhD work that explores methods and concepts for critical visualisation.
ALT Screenshot showing the abstract of the paper that is linked to in the previous tweet. Title of the paper: Seeing what is not shown. Combining visualization critique and design to surface the limitations in data. Authors: Nicole Hengesbach, Greg J. McInerny, JoĆ£o Porto de Albuquerque
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