Data is Small: On The Table Conversation on Data and Society

Editor’s note: Andrew Seeder is a consultant to Smart Chicago who has worked on Chicago School of Data and other important initiatives. Join his On the Table session about the techniques and resources available for people who want to use data to make society a better place to live.

I tried to settle on an attention-grabbing lead for this post about ethics, something that would make you wonder about equity and ownership, about the differences between data big and small — maybe the monkey selfie, Facebook’s emotional contagion study, UPS’s happiness algorithm, or that it would take you a month to read a year’s worth of privacy agreements. I thought about my cousin loading pallets in a warehouse, his movements timed by fractions of seconds and measured against his pay. People reading this post likely do not need to be convinced that data has had — and will continue to have — a positive impact on society. Examples abound.

Smart Chicago is focused, in part, on making sure that data works for people. Not just anybody, though. Everybody. In the words of Jane Addams: “The good we secure for ourselves is precarious and uncertain until it is secured for all of us and incorporated into our common life.” Information is data that works. Information helps people make decisions, makes people’s lives easier, makes cities better, more efficient. We think more information from the bottom up will make society a better place to live for everybody.

Look at the work we’ve already done. Expunge.io helps people slice through bureaucracy to erase their juvenile record. The CUT Group is developing a methodology for including people in the application design process. Connect Chicago helps build access digital skills in all neighborhoods. Foodborne Chicago uses Twitter and machine learning to help people with food poisoning communicate with the Department of Public Health.

These projects do good. They make data work. But making data work for people isn’t an easy thing. Using data to help make society a better place to live— data ethics—  requires imagination. It comes from a place of empathy. It means thinking about what it’s like to walk in someone else’s shoes. And it also means asking people questions and then collaborating together. Civic tech tries to imagine and create real positive changes in people’s lives, the sort of changes you can point to and see, cause if you can’t see what changes you’ve made, have you actually changed anything at all?

When people talk about data and ethics together, the conversation often revolves around experiments that use “human subjects.”  Responsible use of data about people is a keystone in data ethics, especially in terms of anonymization and privacy protection.

For this year’s On the Table, held on May 12th, I’m going to host a conversation about the techniques and resources available for people who want to use data to make society a better place to live. The end-result will be a fully documented discussion about consent and, hopefully, an open consent agreement template. In the spirit of collaboration, though, I’m happy to see our efforts develop organically. Consent is an important topic in many different parts of society. No one solution is going to affect all the places where consent is needed.

If you’re interested you can sign up here. Or tweet me. The conversation is tentatively scheduled to start at 1pm and end at 3:30pm. I’ll follow up with another blog post and I’ll incorporate what we find in Smart Chicago’s upcoming Chicago School of Data book. This will include a draft open consent agreement template to work from. Stay tuned.

Terry Mazany speaks at the Chicago School of Data Days conference

Terry Mazany speaks at the Chicago School of Data Days conference

Access Gaps Session at Chicago School of Data Days

Note: During Chicago School of Data Days, Smart Chicago hired a corps of documenters to take notes, write, photograph, and record our conference sessions. We want to feature some of our documenter’s writing in a series of blog posts. Our first post is from Genevieve Nielsen who wrote about the Access Gaps Session from the first day of Chicago School of Data Days. You can also watch the video of the session here.

9 19 14 Access Gap Session (6)

As the Chicago School of Data evolves, the accessibility of reliable data remains a challenge to its growth. In fact, Kathy Pettit of the Urban Institute began the conference by mentioning that looking for data often feels like “looking for a needle in a haystack.” The Chicago School of Data Conference began with three sessions under the heading of “Gaps” to discuss how organizations are currently using data and how to improve accessibility.

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Key Takeaways and Raw Responses to Chicago School of Data Census Form

As part of our post- Chicago School of Data Days work, we are doing lots of analysis of the data we’ve collected and the artifacts we created together.

One key dataset, especially for the consideration of gaps in data provision and skills development, are the answers to the census form we’ve been working on for months. We’ve got 246 responses to date. Here they are, with identifying information and end-matter (re: how they want to be contacted, participation in the project, etc.) removed.

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Takeaways

The census form was a key part of the Chicago School of Data project and the conference.  We took responses from this survey to better understand how data was used by organizations and responded by creating themes that defined the conference sessions and discussions.

Here are the themes that we came to:

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Toward a Structure for Classifying a Data Ecosystem

Note: this is the first Smart Chicago blog post by Andrew Seeder. Andrew has worked for the Chicago Community Trust on data projects for CEO and President Terry Mazany, and has been doing lots of thinking and writing from the Chicago School of Data project. Here’s his presentation of what we think can be a helpful classification system for seeing and understanding our regional data ecosystem. He will be at our conference this Friday and Saturday— please talk with him about what you think! — DXO

After months of interviews and hundreds of surveys we’re beginning to see how the regional data ecosystem fits together. The ecosystem grows and develops because we create data for others to use, we consume data made by others, and we enable each other to do the same. We found data creators, data consumers, and data enablers.

Some organizations create packaged data sets of data they’ve collected, while other organizations make it a business of cleaning free, public data. Others donate hardware and their expertise to local schools or, as an institution, they fund organizations working in the field. But data creators consume data and data consumers enable others to create data. These broad categories aren’t mutually exclusive.

Among data creators, some organizations provide their data for free, at no charge to either the public or other organizations. These “open” organizations include a lot of large (especially public) institutions, like the City of Chicago or the U.S. Census Bureau. They have the resources and capacity to develop full toolchain platforms. They are one-stop shops for pre-packaged data, also known as data that can be uploaded into and illustrated by common workplace software. There are far more organizations that offer data for a fee, or only under special circumstances.

Free Geek Chicago Launch of Crime and Punishment Website

Data!

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