Collaborate With Us

Description

Data Collaboratives are new form of collaboration, beyond the public-private partnership model, in which participants from different sectors—including private companies, research institutions, and government agencies—can exchange data to help solve public problems. The Designing a Data Collaborative Methodology comprises 18 steps across 8 stages to help institutions create new mechanisms to use previously inaccessible datasets to solve public problems. The stages include:

• Demand
• Supply
• Collaboration
• Design
• Implementation
• Communication
• Learning
• Iteration

Description

The Network’s methodology for facilitating knowledge-sharing convenings between government officials and citizens around particular public priorities comprises a number of issues and decision points:

• Framing
• Recruitment
• Capacity
• Activities
• Data Collection and Analysis
• Absorbing Input
• Communications and Reporting Back

Description

Smarter Crowdsourcing is a problem-solving process in which global experts are connected with government officials to share knowledge to the end of solving a specific public problem. After six online, facilitated convenings on different problem ares, the Network develops learnings surfaced into targeted, context-specific implementation plans. Smarter Crowdsourcing combines rigorous problem definition, research and curation with crowdsourcing to attract not just diverse ideas but also the ability to render those ideas useful and implementable. The Smarter Crowdsourcing methodology involves five steps:

• Partner & Problem Identification
• Problem Definition
• Curating Guests
• Online Conferences
• From Ideas to Implementation

Description

INNOVATE: We work with municipalities to design and launch open innovation challenges to solicit good ideas from diverse civil servants and the public in order to solve urban problems.

COACH AND MENTOR: We coach challenge winners and city officials, face-to-face and online, to develop ideas into actionable and implementable policies and services.

LEARN: We assess what works using data and evaluate downstream impact of the solutions co-created by municipalities and the public.

In the Challenge Design Phase, we provide the City with:

• Problem definition workshops to define needs that bring together citizens, civil servants and experts
• A communications strategy designed to ensure diverse participation
• Open data brigades to match each challenge with relevant open data
• Assistance in developing metrics of success and practices for implementation.

In the Coaching Phase, we provide teams with:

• Rigorous problem definition designed to identify underlying causes
• Articulating the theory of change and explaining why the project solves the problem
• Prototyping and user-testing with municipal officials and citizens to ensure that projects are implementable
• Advice on budgeting and measuring impact strategy

Description

To rapidly get smarter about the demand side of open data, the Network works with partners to progress through a series of ‘sprints.’ These sprints aim to pioneer the mapping of the (current and future) demand for open data and increase the value and effectiveness of open data initiatives through the following steps:

• Rapid assessment of the current state of play;
• Narrowing the focus along value proposition(s) of open data use – a) improving government, b) empowering citizens, c) creating economic opportunity, d) solving public problems;
• Assessment of important issues and related questions;
• Constituency mapping associated with key questions to identify and understand relevant target users;
• Assessing readiness of actors along impact/capacity matrix;
• Engaging identified actors with relevant data and expertise.