Data dialogue
You plan to organize a data dialogue? Below you find some general information about this event format as well as step-by-step instructions for a data dialogue in person and a remote data dialogue.
Goal: Offer NPOs that do not yet have a concrete project idea a format to define their data challenge with dedicated data scienctist volunteers.
Key Takeaways:
- NPO: - 1) Learn how to think about data challenges (through onboarding and scoping) - 2) Identify potential of data science for organizational challenges - 3) Gather possible solutions for data challenges that can lead to an implementation project 
- Data Scientists: - 1) Learn how to scope projects (project managers) - 2) Ideate on how to solve social challenges with data science - 3) Win the pitch and join the project team - if they wish to do so 
Commitment
- NPO (4h): - Preparation of needed material (1h) 
- Preparation call and contact survey (1h) 
- Ideation session (1h) 
- Pitch night (1h) 
 
- Data Scientist(4-8h) - Preparation of ideation session (1h) 
- Ideation session (1h) 
- Pitch creation phase (1-4h over one week) 
- Pitch night (1h) 
 
Roles
- Project managers: Coordinate onboarding, guide NPOs, train data scientists, launch projects 
- Main moderator: welcome of guests, introduction of the orga team and of CorrelAid, guidance through the event 
- Main host: intro to the meeting tool, technical support, set up of breakout sessions, taking screenshots, keep track of time 
- Co-hosts: Support main hosts in break-out sessions 
- Orga team: Organizes meeting rooms, sets agenda, , photographs the event 
- Participant: Take part in event 
Timeline
Find partners
- Use public registrees or network associations or research NPOs in your region 
- Contact NPOs using our e-mail template 
- Assess whether interested NPOs have the same thematic topic and can join the same data dialogue 
Set time and date
- Set the time and date of the data dialogue (ideation session and pitch night) according to how NPOs may attend 
- For offline events: Book possible locations 
- For online events: Ask Frie Preu to set up a zoom environment 
- Create/distribute marketing material (Hint: PR [PR ] (mailto:[email protected]) can help!) or take a look in this CorrelCloud file 
Organize
- Choose the following responsibilties: Moderator (2P), technical staff (1P) 
- Train moderators using our internal guidances, for example with this presentation 
- Set an agenda, create a presentation and gather necessary surveys 
Prepare partners
- Schedule a 1h preparation call 
- Clarify whether the process and goals of the open data dialogue are understood 
Prepare participants
- Transcribe the data to a call for application format to share with volunteers (Hint:[Frie ](mailto:[email protected]) can help!) 
- Share invitation in the networks using this form - CorrelAid distributor 
- Student distribution boards 
 
- Monitor registrations (we have a 50% attendance rate) 
- Assess abilities and prepare matching 
- Send reminder e-mail one week before 
Ideation session (1h)
- Ideally, offer an onboarding session from project managers to volunteers in an hour 
- Ideate on data challenges and solutions with broad focus (collect as many ideas as possible) 
- Gather ideas on post-its or similar digital tools 
- Let the NPO select up to 3 ideas that they want pitches on 
- Form pitch teams using a zoom survey 
Pitch working phase (1-4h over a week)
- Pitch teams work on their pitch, incl. a technical proposal, value-add and ressource-time allocation 
- Pitch teams create 5 slides for pitch deck and send those to organiztational team 
Pitch night (1h)
- Pitch teams present their data challenges + possible solutions followed by Q&A (5+ 5min) 
- NPO representatives and project managers consult on which ideas can be selected (10min) 
- Final decision and allocation of groups (10min) 
- Feedback: Interviews with NPOs and sending out of surveys (10min) - for NPOs 
- for volunteers 
 
Follow-up
- Send reminder for feedback surveys and thank you notes 
- Launch projects 
- Gather lessons learned 
- Present your open data dialogue on our blog and the lc call! - Example
Field reports from past data dialogues
What does it look like in practice? Here you can find reports of past data dialogues:
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