Professorship of Computational Social Science (COSS) at @ETH Zurich, Switzerland. Digital Democracy | Agent-Based Modeling | Participatory Approaches
Zurich, Switzerland
Joined October 2014
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Comput. Soc. Science retweeted
Back to the Future: What We Can and Cannot Optimize For.
Workshop @COSS_eth starting, watch live (or later):
youtube.com/@COSS_eth
Full program: backtothefuture.ch
Comput. Soc. Science retweeted
π’Published today: #PhilTransA theme issue, 'Co-creating the future: participatory cities and digital governance'. ow.ly/32BW50TXUlp @coss_eth @justanormaldino @SachitMahajan4 @ElsaArcaute @EPournaras @TrivikV @jmichaelbatty
Comput. Soc. Science retweeted
1/2 The latest version of greenR is out with new features:
πAdvanced GreenIndex Calculation
πHexagonal Binning for greenspace coverage πΆββοΈAccessibility Analysis
π²Green View Index using street view images
π»Improved Shiny App github.com/sachit27/greenR
#RStats #urbangreenness
Comput. Soc. Science retweeted
NEW ARTICLE + QUIZ
Two scientists are measuring the same construct (e.g. happiness) on the same sample. Will they obtain similar results? (suppose no measurement error)
Think about it...
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Even if intuitively we would say that yes, they should get at least similar (if not identical) results, the answer is: no, measurements are going to be very different and they may even obtain opposite results.
Why?
Well, when we build a measurement we need to perform a series of small choices such as:
- How do I phrase a question?
- How many items should I include?
- Which model should I use for analysis?
And different scientist will make different choices.
Usually we assume these choice to have a small impact thinking that if the measurement is valid, then everything is ok.
Unfortunately, in practice we find that every operationalization is almost "sensing" different aspects of the same construct. This can produce conflicting results, opposite correlations and even completely different dynamic behaviors.
In this brief comment I provide more examples and explanations:
nature.com/articles/s44271-0β¦
Comput. Soc. Science retweeted
Who knew that science communication in three different languages could be this fun and enlightening? π @defactoexpert has featured my insights on the art of legitimate decision-making here: defacto.expert/2024/02/23/thβ¦
Comput. Soc. Science retweeted
π Keen on what's next? Follow @COSS_eth and their amazing researchers for more insights: @DirkHelbing @SachitMahajan4 @andreamusso96 @RegulaHaenggli @CarinaHausladen @JustaNormalDino @lizthelizzzzard @joshuacyyang @BallandiesMC @EPournaras
Comput. Soc. Science retweeted
Comprehensive summary of our recent collaboration with @dr_andrewlaw @wholovesburrito @UnaWanging @GoskenC @joshuacyyang on a taxonomy for #DePIN systemsπ
Looking foreward to present it at #IEEE 9th World Forum on #IoT π
As decentralized physical infrastructure networks (#DePIN) continue gaining traction, @BallandiesMC, @wholovesburrito, Joshua, Chris, Hongyang and I are excited to present a paper proposing a comprehensive taxonomy for categorizing and analyzing these emerging systems.
TL;DR: The paper introduces a multi-dimensional framework encompassing distributed ledger technology, cryptoeconomic mechanisms, and physical infrastructure components.
Key highlights:
1. The taxonomy defines 8 main components with 41 attributes to classify DePIN projects based on technical architecture, incentive designs, governance models and hardware specifics.
2. It extends existing DLT and IoT taxonomies by incorporating physical infrastructure elements like devices, spacing, middleware and routing.
3. Three new dimensions are introduced - hardware, middleware and governance - to capture the unique aspects of decentralized physical networks.
4. The taxonomy uses a rigorous conceptual-to-empirical methodology involving literature analysis and validation using real DePIN examples.
5. It provides a common language and structure to analyze the diversity of DePIN designs, promoting knowledge sharing and collaboration.
6. By systematically organizing the emerging DePIN field, the taxonomy can enable innovation, highlight unexplored architectures and avoid duplication of efforts.
7. It serves as a conceptual foundation for future research on technical standards, regulatory frameworks and adoption of decentralized physical infrastructure.
IMHO, the proposed taxonomy delivers an important first step in formally defining and categorizing the nascent DePIN ecosystem. As more projects emerge, the taxonomy can evolve through continuous empirical evaluation and community input. It has the potential to accelerate research and development of blockchain-powered decentralized physical networks.
We welcome feedback from the community @Old_Samster @guywuolletjr @masonnystrom as we continue refining this taxonomic foundation for the emerging DePIN ecosystem. Please check out the preprint on research gate!
Comput. Soc. Science retweeted
π¨New Preprintπ¨
If we removed sampling bias and measurement error, then our #measurements would be perfect, right?
What if instead we discovered that even in this case the result depends on arbitrary choices made during data collection and analysis?[1/6]
psyarxiv.com/pb9uy/
Comput. Soc. Science retweeted
ποΈ πππ₯π₯ ππ¨π« π©π¨π¬πππ« ποΈ
To address digital challenges @CSHVienna and @ETH_en are organizing a workshop on "Co-Creating the Future: Participatory Cities and Digital Governance"
β° May 10, 2023
ποΈ Workshop: Sept 11-13, 2023
βΉοΈ bit.ly/3lQDMV7
Comput. Soc. Science retweeted
Practical implementation of adaptable streets @COSS_eth
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Comput. Soc. Science retweeted
Are you interested in creating #innovative solutions to solve #realworld challenges? Join our team at @COSS_eth @ETH_en as a Postdoctoral researcher and work on a cutting-edge project combining bio-inspiration, #coevolutionary systems, and #IoT
jobs.ethz.ch/job/view/JOPG_eβ¦
Comput. Soc. Science retweeted
We developed at @COSS_eth a conceptual architecture and #taxonomy for #DLT systems covering some of your building blocks: arxiv.org/pdf/1811.03419.pdf . If you find the time, I would be happy to hear your thoughts. #blockchain #finance4 @futurict2 @digisus @EPournaras @FuturICT
Comput. Soc. Science retweeted
#Democracy by #Design: Perspectives for Digitally #Assisted, #Participatory Upgrades of #Society.
@hoven_j @PeterSeele @ThBeschorner @SpiekSarah
@Andrej_Zwitter @cxdig @CatholijnJonker @vdignum
researchgate.net/publicationβ¦
Comput. Soc. Science retweeted
We are looking for helpers who are interested in participating in the #biots2017 week early September. Ping us here
Comput. Soc. Science retweeted
New paper: Geometric correlations mitigate the extreme vulnerability of multiplex networks against targeted attacks arxiv.org/abs/1702.02246