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From Dashboards to Decisions: The Translator Model of Urban Infoanalytics

Bhatheja, Atulya · Zenodo (CERN)
Zenodo (CERN) · Papers · License: CC BY 4.0
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data-driven-governancedecision-support-systemsinstitutional-designsmart-citiesurban-analyticsurban-governance
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From Dashboards to Decisions: The Translator Model of Urban Infoanalytics | Zenodo Skip to main Communities My dashboard Log in Sign up Zenodo is currently experiencing slowness and intermittent outages due to heavy automated traffic from bots and AI crawlers. We are aware of the problem, and our team is focused on stabilizing the service. Thank you for your patience. Published May 5, 2026 | Version v1 Preprint Open From Dashboards to Decisions: The Translator Model of Urban Infoanalytics Authors/Creators Bhatheja, Atulya Description Urban administrations have invested heavily in data infrastructure over the past decade, yet frontline decision-making has not kept pace. The core problem is not data scarcity but a design failure: most urban analytics systems optimize for visibility rather than action. This paper introduces Urban Infoanalytics , a decision-centered approach that starts from specific administrative decisions and works backward to define data, models, and outputs. The framework treats governance constraints — including time pressure, legal authority, and organizational structure — as primary design inputs, and incorporates safeguards for algorithmic accountability, auditability, and vendor dependency. It also proposes the Translator : a standing institutional role responsible for aligning analytical systems with administrative workflows over time and maintaining a continuous bridge between technical systems and frontline decision-making. An illustrative case in housing code enforcement shows how a simple automated weekly ranking of high-risk properties can outperform complex GIS dashboards in operational settings where decisions must be made quickly and repeatedly. The case highlights a central claim: the form of data delivery matters as much as its accuracy. Files urban_infoanalytics_article.pdf Files (198.0 kB) Name Size Download all urban_infoanalytics_article.pdf md5:834c5cec2cc12fa871779a6575d2adf3 198.0 kB Preview Download 44 Views 30 Downloads Show more details All versions This version Views Total views 44 44 Downloads Total downloads 30 30 Data volume Total data volume 5.9 MB 5.9 MB More info on how stats are collected.... Versions External resources Indexed in OpenAIRE Communities Keywords and subjects Keywords Urban Analytics; Smart Cities; Decision Support Systems; Data-Driven Governance; Urban Governance; Public Sector Innovation; Institutional Design; Algorithmic Accountability; Policy Analytics; Decision-Making Systems; Urban Infoanalytics; Translator Model Details DOI DOI Badge DOI 10.5281/zenodo.20038271 Markdown [![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.20038271.svg)](https://doi.org/10.5281/zenodo.20038271) reStructuredText .. image:: https://zenodo.org/badge/DOI/10.5281/zenodo.20038271.svg :target: https://doi.org/10.5281/zenodo.20038271 HTML <a href="https://doi.org/10.5281/zenodo.20038271"><img src="https://zenodo.org/badge/DOI/10.5281/zenodo.20038271.svg" alt="DOI"></a> Image URL https://zenodo.org/badge/DOI/10.5281/zenodo.20038271.svg Target URL https://doi.org/10.5281/zenodo.20038271 Resource type Preprint Publisher Zenodo Languages English Rights License Creative Commons Attribution 4.0 International The Creative Commons Attribution license allows re-distribution and re-use of a licensed work on the condition that the creator is appropriately credited. Read more Citation Export Technical metadata Created May 5, 2026 Modified May 5, 2026 Jump up About About Policies Infrastructure Principles Projects Roadmap Contact Blog Blog Support Help FAQ Developers REST API OAI-PMH Contribute GitHub Donate Funded by Powered by CERN Data Centre & InvenioRDM Status Privacy policy Cookie policy Terms of Use This site uses cookies. Find out more on how we use cookies Accept all cookies Accept only essential cookies

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