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assets/content/learning-materials/lateral-thinking-gone-vr/readme.md
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--- | ||
order: 1 | ||
title: Lateral Thinking Gone VR | ||
image: | ||
sm: lateral_thinking_sm.png | ||
lg: lateral_thinking_lg.png | ||
--- | ||
This virtual reality visualization explores discourse on the Telegram app during the initial COVID-19 lockdown in Germany. The spring of 2020 marked the beginning of the COVID-19 pandemic, which soon became the root of countless sociopolitical phenomena and movements. Across the world, the pandemic led to an upheaval surrounding public health measurements, school closures, lockdowns, and vaccination requirements. Germany initiated its first lockdown in March 2020 and became one of the first countries to face protests against pandemic measures and regulations. Some of these protests were organized by a movement named Querdenken, which translates to “Lateral Thinking.” Although Querdenken took root in the southwestern city of Stuttgart, it evolved into a national movement with activity spanning several German cities. Its followers included a diverse array of skeptics and anti-lockdown protesters. The hybrid messaging app “Telegram” became a hub for COVID-19-related conspiracy theories and protest groups due to its low content regulation, combined with relative anonymity for users. Because many fringe social media platforms have either evolved into outlets for extremism or have been explicitly founded for this aim, it is imperative to understand how the Querdenken movement became so widespread and prominent in Germany through its mobilization in the online space of Telegram. | ||
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In *Lateral Thinking Gone VR*, a narrative virtual reality (VR) visualization, authors Andreas Bueckle, Mudrika Alla, Juhi Khare, and Kilian Buehling invite you to climb inside topical and geospatial visualizations of German-speaking Telegram groups and channels. | ||
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The application is available for download via the Meta App Lab: <https://www.meta.com/experiences/6196572587047487> | ||
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Code and technical details are available at <https://github.com/cns-iu/issi-vr-workshop-2023/blob/main/README.md>. |
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--- | ||
en: | ||
sequence: 1 | ||
body: This winner of the 2023 World Data Visualization Prize helps you compare | ||
nations of the world according to 31 economic, social, and environmental | ||
metrics. Understanding that context is key, visualization designer Lindsey | ||
Poulter developed this dashboard to encourage comparison by region and | ||
income level. A high-income country, for instance, may have a lower | ||
percentage of people living in poverty than many other nations around the | ||
world. However, that same statistic may not look so great when compared only | ||
with other high-income countries. You can get acquainted with this | ||
macroscope by pressing the shuffle button at the top of the dashboard. This | ||
will show how data points are arranged on both the main radial graph and the | ||
dot plot in the sidebar. From there, you can select comparisons from the | ||
drop-down menu. Or you can get more specific information by hovering over | ||
individual data points. | ||
externalLink: https://lindseypoulter.com/wdvp/ | ||
references: | ||
- Poulter, Lindsey. 2023. “How Do We Compare?” Accessed April 15, 2024. | ||
https://www.lindseypoulter.com/wdvp. | ||
- "Poulter, Lindsey. 2023. *How Do We Compare?* In “20th Iteration (2023): | ||
Macroscopes for a Global Future.” *Places & Spaces: Mapping Science*, | ||
edited by Katy Börner, Lisel Record, and Todd Theriault. | ||
https://scimaps.org." | ||
makers: | ||
- lindsey-poulter/readme | ||
title: How Do We Compare? | ||
image: | ||
sm: 1x1-how-do-we-compare.png | ||
med: 1x1-how-do-we-compare.png | ||
lg: desktop-how-do-we-compare.png | ||
year: 2014 | ||
iteration: 20 | ||
es: | ||
makers: | ||
- lindsey-poulter/readme | ||
zh: {} | ||
fr: {} | ||
pt: {} | ||
de: {} | ||
pl: {} | ||
--- |
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--- | ||
en: | ||
sequence: 2 | ||
body: The joy of imaginative map exploration is perfectly captured in this | ||
visualization from graphics journalist Sam Learner. Begin by placing a | ||
virtual drop of water anywhere in the world, and watch as it makes its way | ||
through streams, tributaries, and rivers, tracing a path to the ocean or an | ||
inland sea. Hydrologists at the United States Geological Survey collaborated | ||
with the Internet of Water Coalition (did you know there is an internet of | ||
water?) to create a database of the world’s interconnected watersheds. This | ||
soaring perspective allows for amazing views of the landscape while also | ||
showing the distance a water drop travels to complete the water cycle. | ||
externalLink: https://river-runner-global.samlearner.com/ | ||
references: | ||
- Learner, Sam. 2021. “River Runner Global.” Accessed April 15, 2024. | ||
https://river-runner-global.samlearner.com. | ||
- "Learner, Sam. 2021. *River Runner*. In “20th Iteration (2024): | ||
Macroscopes for a Global Future.” *Places & Spaces: Mapping Science*, | ||
edited by Katy Börner, Lisel Record, and Todd Theriault. | ||
https://scimaps.org." | ||
makers: | ||
- sam/readme | ||
title: River Runner | ||
image: | ||
sm: 1x1-river-runner.png | ||
med: 1x1-river-runner.png | ||
lg: desktop-river-runner.png | ||
year: 2021 | ||
iteration: 20 | ||
es: | ||
makers: | ||
- sam/readme | ||
zh: {} | ||
fr: {} | ||
pt: {} | ||
de: {} | ||
pl: {} | ||
--- |
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en: | ||
sequence: 3 | ||
body: "*The Whole Picture* looks at one of our most crucial networks: the global | ||
supply chain. It reveals how disruptions, delays, or sanctions can affect | ||
the flow of goods in unexpected ways. It’s easy to see how problems with | ||
grapes in Italy could lead to a shortage of wine in Europe. You might be | ||
less aware of how a shock to U.S. soybeans can affect pork and poultry | ||
production in Panama, Egypt, and Indonesia. By using a network model that | ||
accounts for both food and the materials that go into producing it, a team | ||
led by the Complexity Science Hub were able to capture the interdependent | ||
nature of this vital global system." | ||
externalLink: https://vis.csh.ac.at/global-supply-chain-maps/ | ||
references: | ||
- "Laber, Moritz, Peter Klimek, Martin Bruckner, Liuhuaying Yang, and Stefan | ||
Thurner. 2023. “Shock Propagation from the Russia–Ukraine Conflict on | ||
International Multilayer Food Production Network Determines Global Food | ||
Availability.” *Nature Food* 4: 508–517." | ||
- "Reisch, Tobias, Liuhuaying Yang, Jan Hurt, and Stefan Thurner. 2022. | ||
“Shocking Russia: How Will Economic Sanctions Affect the Russian Economy, | ||
How Will an Oil and Gas Embargo Play Out, and How Are Sanction-Imposing | ||
Countries Affected on the Various Industry Sectors?” *CSH Policy Briefs*, | ||
March 15, 2022. | ||
https://csh.ac.at/publication/shocking-russia-how-will-economic-sanctions\ | ||
-affect-the-russian-economy-how-will-an-oil-and-gas-embargo-play-out-and-\ | ||
how-are-sanction-imposing-countries-affected-on-the-various-industry-sect\ | ||
ors." | ||
- "Yang, Liuhuaying, Moritz Laber, Peter Klimek, Martin Bruckner, Stefan | ||
Thurner, Tobias Reisch, Jan Hurt, and Sophia Baum. 2023. *The Whole | ||
Picture*. In “20th Iteration (2024): Macroscopes for a Global Future. ” | ||
*Places & Spaces: Mapping Science*, edited by Katy Börner, Lisel Record, | ||
and Todd Theriault. https://scimaps.org." | ||
makers: | ||
- liuhuaying-yang/readme | ||
- moritz-laber/readme | ||
- peter-klimek/readme | ||
- martin-bruckner/readme | ||
- stefan-thurner/readme | ||
- tobias-reisch/readme | ||
- jan-hurt/readme | ||
- sophia-baum/readme | ||
title: The Whole Picture | ||
image: | ||
sm: 1x1-the-whole-picture.png | ||
med: 1x1-the-whole-picture.png | ||
lg: desktop-the-whole-picture.png | ||
year: 2023 | ||
iteration: 20 | ||
es: | ||
makers: | ||
- liuhuaying-yang/readme | ||
- moritz-laber/readme | ||
- peter-klimek/readme | ||
- martin-bruckner/readme | ||
- stefan-thurner/readme | ||
- tobias-reisch/readme | ||
- jan-hurt/readme | ||
- sophia-baum/readme | ||
zh: {} | ||
fr: {} | ||
pt: {} | ||
de: {} | ||
pl: {} | ||
--- |
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en: | ||
sequence: 4 | ||
body: With the short news cycle and fewer in-depth reporting formats, it is | ||
difficult to grasp progress over time in the areas of health, the | ||
environment, and education. *The Shape of Change* reintroduces prominent | ||
news stories that piqued awareness about issues like oil dependency, air | ||
pollution, and global literacy and then invites you to test your impressions | ||
of how things have changed. Further down, a series of charts track | ||
developments in key areas. For each year, a wedge shape indicates whether | ||
change in that area was positive or negative. By challenging you to reflect | ||
and then state your impressions about global challenges, Rita Costa and | ||
Beatriz Malveiro seek to replace subjective perceptions with empirical data | ||
in a way that makes those insights memorable. | ||
externalLink: http://www.theshapeofchange.com/ | ||
references: | ||
- Malveiro, Beatriz, and Rita Costa. 2023. “The Shape of Change.” Accessed | ||
April 15, 2024. https://www.theshapeofchange.com. | ||
- "Malveiro, Beatriz, and Rita Costa. 2023. *The Shape of Change*. In “20th | ||
Iteration (2024): Macroscopes for a Global Future.” *Places & Spaces: | ||
Mapping Science*, edited by Katy Börner, Lisel Record, and Todd Theriault. | ||
https://scimaps.org." | ||
makers: | ||
- beatriz-malveiro/readme | ||
- rita-costa/readme | ||
title: The Shape of Change | ||
image: | ||
sm: 1x1-the-shape-of-change.png | ||
med: 1x1-the-shape-of-change.png | ||
lg: desktop-the-shape-of-change.png | ||
year: 2023 | ||
iteration: 20 | ||
es: | ||
makers: | ||
- beatriz-malveiro/readme | ||
- rita-costa/readme | ||
zh: {} | ||
fr: {} | ||
pt: {} | ||
de: {} | ||
pl: {} | ||
--- |
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--- | ||
title: Macroscopes for a Global Future | ||
iteration: 20 | ||
--- | ||
This group of visualizations has a distinctly global scope and a big picture bias. They provide a planetary perspective, showcasing large and complex datasets. Multifactor analysis teases out the effects of indirect dependencies as well as more visible relationships. Their interfaces are intuitive, allowing you to focus on the topic rather than the tool. To flourish in the future, we must recognize that all fates are connected. Macroscopes with a global perspective can reinforce this point of view and help us chart a path into the future. |
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--- | ||
date: 2024-05-22T19:00:46.735Z | ||
title: "Going Global: Places & Spaces: Mapping Science exhibit debuts 20th | ||
iteration of “macroscope” interactive data visualization" | ||
source: Pete DiPrimio | ||
sourceUrl: https://news.luddy.indiana.edu/story.html?story=Going-Global-Places-Spaces-Mapping-Science-exhibit-debuts-20th-iteration-of-%E2%80%9Cmacroscope%E2%80%9D-interactive-data-visualization | ||
pdfLink: places-spaces-science-exhibit.pdf | ||
--- | ||
. |
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--- | ||
name: Jan Hurt | ||
last_name: Hurt | ||
roles: | ||
- maker | ||
image: jan_hurt.png | ||
--- | ||
Jan Hurt has been a PhD candidate at the Complexity Science Hub since May 2021. He holds a bachelor’s degree in mathematics and a master’s degree in physics from the University of Vienna. In his master’s thesis, which he wrote at the CSH, Jan studied shock propagation on economic networks. In his current work he investigates how agent-based modeling can be used to support an evidence-based policy. Jan’s research interests range from statistical physics over agent-based modeling to environmental issues. |
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name: Martin Bruckner | ||
last_name: Bruckner | ||
roles: | ||
- maker | ||
image: martin_bruckner.png | ||
--- | ||
Martin Bruckner, senior researcher at ETH Zürich and WU Wien, specializes in modeling biomass conversion networks. He develops and applies multi-regional input-output models to analyze socio-economic biomass metabolism, its drivers, environmental impacts, risks, and dependencies. His research covers the water-food-energy nexus, supply chain risks, the global environmental impacts of consumption and production, dietary changes, food waste reduction, and climate risks in agricultural supply chains. |
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name: Moritz Laber | ||
last_name: Laber | ||
roles: | ||
- maker | ||
image: moritz_laber.png | ||
--- | ||
Moritz Laber is a second-year PhD student at the Network Science Institute (NetSI) at Northeastern University, jointly advised by Professor Alessandro Vespignani and Brennan Klein. He is interested in using insights from network science and complex systems to understand and improve existing machine learning models. Before joining NetSI, Moritz studied how supply shocks propagate on the global food production network. He received a BS and MS in Physics from Karlsruhe Institute of Technology and a MS in Computational Science from University of Vienna. |
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name: Peter Klimek | ||
last_name: Klimek | ||
roles: | ||
- maker | ||
image: peter_klimek.png | ||
--- | ||
Peter Klimek is director of the Supply Chain Intelligence Institute Austria (ASCII), associate professor at the Medical University of Vienna, and is a faculty member at the Complexity Science Hub. His research aims to improve our understanding and ability to predict complex socio-economic systems, ranging from human diseases and healthcare systems to economic and financial systems. Peter received his PhD in physics in 2010 and a Venia Docendi (Habilitation) in computational science in 2018. The author of about 100 scientific publications, he has received the Paul Watzlawick Ring of Honour and was named Austrian Scientist of the Year 2021. |
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