This document discusses both the promise and potential pitfalls of data use in the non-profit sector. While data can empower people by providing information to make informed choices, there are also risks if not handled responsibly. Specifically, non-profits may collect and use personal data without proper consent, guidelines, or oversight. The document warns against thinking that more data is always better and that technology alone empowers. It advocates for a responsible approach that considers issues like identity, consent, re-use, and doing no harm. Real-life examples will be presented of challenges around police body cameras, digital redlining, and the Netflix Prize effect to illustrate these issues.

1. THE DARK SIDE OF
DATA

2. Introductions
Kristin Antin, Community Catalyst for the engine room
Tin Geber, Project Manager for the engine room
Masashi Crete-Nishihata, Research Manager for Citizen Lab, at the
Munk School of Global Affairs, University of Toronto
Laura Tribe, National and Digital Programs Lead for Canadian
Journalists for Free Expression (CJFE)
Zack Halloran, Senior Developer for Ushahidi

3. Data Honeymoon in the non-profit sector
A world where knowledge creates power
for the many, not the few.
A world where data frees us — to make
informed choices about how we live,
what we buy and who gets our vote.
A world where information and insights
are accessible — and apparent — to
everyone.
“

4. Data Honeymoon in the non-profit sector
We also call for a data revolution for
sustainable development, with a new
international initiative to improve the quality of
statistics and information available to citizens.
We should actively take advantage of new
technology, crowdsourcing, and improved
connectivity to empower people with
information on the progress towards the
targets.
“
POST-2015 Development Goals

5. We are all data scientists
Crowdsourcing Social Media Analysis
Online Surveys Data Visualization Tools

6. not sure where this slide fits
Transparency and openness are crucial
More data is better
Technology empowers
?

7. Data is information is people.

8. What is wrong with this picture?
● No IRBs
● No guidelines
● Too much interest
● Magic bullet

9. We need to have a responsible approach to
collecting and using data

10. Responsible data issues
1. Identity
2. Consent
3. Agency
4. Re-use
Do No Harm }

11. Dark Side of Data Storytellers
Masashi Crete-Nishihata, Research Manager for
Citizen Lab, at the Munk School of Global Affairs,
University of Toronto
Laura Tribe, National and Digital Programs Lead for
Canadian Journalists for Free Expression (CJFE)
Zack Halloran, Senior Developer for Ushahidi

12. Real Life Examples

26. Real Life Examples

27. Real Life Examples

28. POLICE BODY CAMS

29. DIGITAL REDLINING

30. THE NETFLIX PRIZE AND THE MOSAIC EFFECT

31. Responsible Data Safe Space
Thursday November 20, 2014 12:00pm - 2:00pm
TIFF - Bell Blue Room (TIFF Bell Lightbox)
Do you have doubts, concerns about
how sensitive data is used in your
projects?
Do you have that gut feeling that
something is not quite right, but don’t
know how to deal with it, or even where
to start?
You are not alone.
Join us in the Responsible Data Safe
Space