Transforming Open Data: From Transparency to Empowerment Sprint

Starts:  Sep 11, 2024 03:00 PM (ET)
Ends:  Oct 23, 2024 04:00 PM (ET)
  • Registration deadline: August 21, 2024

  • Pre-course calls: Will be held on August 28th

  • Starts: September 11, 2024 at 3pm ET.

  • Ends: October 23rd, 2024 at 3pm ET.

  • Frequency: Group Sprint sessions will be held virtually once a week between September and October of 2024. Cities will also attend 1:1 TA sessions. Specific meeting dates and times will be determined in coordination with participating cities.

  • Duration: 7 weeks plus one pre-sprint call and one post-sprint call. Each week, cities can expect to spend 2-hours in Session and 1-2 hours of outside of session time advancing their Community Data Training Plan.

  • Language: This Sprint will be offered in English and Spanish. Please note your language needs in your application form.

Sprint Overview

This Sprint will support cities in training community organizations and civic institutions to build their skills in using open data to improve how they advocate, plan, and deliver services. Participants will design trainings that target specific issue areas that are top of mind for community organizations and where new approaches to collecting, analyzing, or presenting data would have meaningful impact for their work.

What will I do in this Sprint?

This Sprint will be comprised of a combination of Masterclasses, Hands-on Workshops, and 1:1 Office hour sessions. During Workshops and Office Hours, participants will develop an implementation plan for an open data training course, including delivery and intragovernmental socialization strategies, with guidance from the facilitation team. Participating cities will be provided with various worksheets and templates to complete as a team both to refine their shared definitions of user groups and training topics, and to advance their training program.

Optional office hours: The facilitation team will host 4 optional office hours during the Sprint to offer one-on-one coaching on your training design. The last office hour session will be conducted after the Sprint’s last session, to support participants in the implementation phase.

At the end of the Sprint, participants will have:

  • Identifiedtarget audiences of partner agencies and community organizations,

  • Created an implementable roadmap (with project workplan) for conducting their training,

  • Designed a method for incorporating community feedback into their open data processes.

Who should participate in this Sprint?

  • Participant cities should have some form of an open data platform in existence prior to the Sprint, and have buy-in from leadership to meaningfully advance open data training programs developed through this Sprint within 12 months.

  • Participant staff members should be either: in a data-focused decision making role, tasked with designing data-driven governance strategies, tasked with devising strategies for municipal innovation, or tasked with developing community engagement strategies and partnerships.

SI1: Community Data Training and Collaboration.

Your local government supports efforts to educate, upskill, and activate community members (both individuals and local organizations e.g., civic groups, place-based partners, vendors, service providers) to better understand and use city data and analytics services to deepen community impact.


#StakeholderImpact


#SI1
#English
#Spanish
#Sprint

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About What Works Cities

This learning opportunity and more are available to staff in cities that have completed our online self-Assessment for What Works Cities Certification. The What Works Cities Certification program, launched in 2017 by Bloomberg Philanthropies and led by Results for America, is the first-of-its-kind standard of excellence for data-driven, well-managed local government. Open to cities in North and South America with a population of at least 30,000, What Works Cities Certification welcomes cities at all points in their data journey. Take the Assessment, join our Community and lead with data!