Crowdsourced Data: Participatory Research and Community Knowledge

Presenter Information

Dartmouth Libraries

Location

Zoom

Event Website

https://libcal.dartmouth.edu/event/15529277

Start Date

21-10-2025 12:00 PM

End Date

10-2025 1:00 PM

Description

Data isn’t just gathered from remote sensors, administrative offices, or institutional surveys. Data can emerge dynamically from communities themselves. Crowdsourcing taps into collective participation, turning individuals into contributors who build and enhance datasets with lived experience and local knowledge. Examples range from apps like Waze and Google Maps, where drivers share real-time traffic data, to Harvard’s Crowd Counting Project, which verifies reports from participants and bystanders to count the size of public demonstrations and protests in the U.S., to the Red Dot Foundation’s SafeCity app, a crowdsourced platform providing information about sexual assault and harassment in public spaces. This exercise will highlight how crowdsourced data democratizes knowledge production and fosters community engagement. After exploring these examples, participants will break into small groups to brainstorm ideas for crowdsourcing data about Dartmouth’s own community, campus dynamics, and events.

Event Type

Presentation

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Oct 21st, 12:00 PM Oct 1st, 1:00 PM

Crowdsourced Data: Participatory Research and Community Knowledge

Zoom

Data isn’t just gathered from remote sensors, administrative offices, or institutional surveys. Data can emerge dynamically from communities themselves. Crowdsourcing taps into collective participation, turning individuals into contributors who build and enhance datasets with lived experience and local knowledge. Examples range from apps like Waze and Google Maps, where drivers share real-time traffic data, to Harvard’s Crowd Counting Project, which verifies reports from participants and bystanders to count the size of public demonstrations and protests in the U.S., to the Red Dot Foundation’s SafeCity app, a crowdsourced platform providing information about sexual assault and harassment in public spaces. This exercise will highlight how crowdsourced data democratizes knowledge production and fosters community engagement. After exploring these examples, participants will break into small groups to brainstorm ideas for crowdsourcing data about Dartmouth’s own community, campus dynamics, and events.

https://digitalcommons.dartmouth.edu/oa_week/2025/1/6