| dc.contributor.author | Hughes, Margaret | |
| dc.contributor.author | Overney, Cassandra | |
| dc.contributor.author | Kamra, Ashima | |
| dc.contributor.author | Tepale, Jasmin | |
| dc.contributor.author | Hamby, Elizabeth | |
| dc.contributor.author | Jasim, Mahmood | |
| dc.contributor.author | Roy, Deb | |
| dc.date.accessioned | 2025-12-03T15:34:56Z | |
| dc.date.available | 2025-12-03T15:34:56Z | |
| dc.date.issued | 2025-10-17 | |
| dc.identifier.isbn | 979-8-4007-1480-1 | |
| dc.identifier.uri | https://hdl.handle.net/1721.1/164116 | |
| dc.description | CSCW Companion ’25, Bergen, Norway | en_US |
| dc.description.abstract | Communities frequently report sending feedback “into a void” during community engagement processes like neighborhood planning, creating a critical disconnect between public input and decision-making. Voice to Vision addresses this gap with a sociotechnical system that comprises three integrated components: a flexible data architecture linking community input to planning outputs, a sensemaking interface for planners to analyze and synthesize feedback, and a community-facing platform that makes the entire engagement process transparent. By creating a shared information space between stakeholders, our system demonstrates how structured data and specialized interfaces can foster cooperation across stakeholder groups, while addressing tensions in accessibility and trust formation. Our CSCW demonstration will showcase this system’s ability to transform opaque civic decision-making processes into collaborative exchanges, inviting feedback on its potential applications beyond urban planning. | en_US |
| dc.publisher | ACM|Companion of the Computer-Supported Cooperative Work and Social Computing | en_US |
| dc.relation.isversionof | https://doi.org/10.1145/3715070.3757228 | en_US |
| dc.rights | Creative Commons Attribution | en_US |
| dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | en_US |
| dc.source | Association for Computing Machinery | en_US |
| dc.title | Voice to Vision: A Sociotechnical System for Transparent Civic Decision-Making | en_US |
| dc.type | Article | en_US |
| dc.identifier.citation | Margaret Hughes, Cassandra Overney, Ashima Kamra, Jasmin Tepale, Elizabeth Hamby, Mahmood Jasim, and Deb Roy. 2025. Voice to Vision: A Sociotechnical System for Transparent Civic Decision-Making. In Companion Publication of the 2025 Conference on Computer-Supported Cooperative Work and Social Computing (CSCW Companion '25). Association for Computing Machinery, New York, NY, USA, 525–527. | en_US |
| dc.contributor.department | Program in Media Arts and Sciences (Massachusetts Institute of Technology) | en_US |
| dc.identifier.mitlicense | PUBLISHER_POLICY | |
| dc.eprint.version | Final published version | en_US |
| dc.type.uri | http://purl.org/eprint/type/ConferencePaper | en_US |
| eprint.status | http://purl.org/eprint/status/NonPeerReviewed | en_US |
| dc.date.updated | 2025-11-01T07:48:22Z | |
| dc.language.rfc3066 | en | |
| dc.rights.holder | The author(s) | |
| dspace.date.submission | 2025-11-01T07:48:23Z | |
| mit.license | PUBLISHER_CC | |
| mit.metadata.status | Authority Work and Publication Information Needed | en_US |