SDIT Research · Shade · Privacy

What does privacy mean when every signal is a commodity?

A fellowship research project into privacy as a human fundamental — and what it looks like to return real agency to the person whose data is being collected.

The Research QuestionPrivacy

Privacy is not a setting. It is an ongoing practice of self-determination.

An economy of well-funded companies profits from what your phone broadcasts. Most people never see it happen — which is exactly how it is designed.

The question Shade investigates is what it would mean to close that knowledge gap — not with paranoia or security theater, but with honest understanding. What is your phone actually broadcasting? What does your SIM reveal? What does location data become when correlated and sold? These are questions about who has authority over you, and who you have granted it to without knowing. A fellowship researcher at SDIT built Shade to return the facts to the person they belong to.

The research proposition is this: that most people, given clear information about what is happening, will act on it — and that the reason they do not is not indifference but the absence of a plain, trusted place to look.

The InstrumentThe app

Understand it, then act.

Shade is a privacy utility for iOS: a live read of your exposure, guided device hardening, an encrypted on-device vault, and — for SDIT members — a no-logs VPN.

No cloud. No account. No analytics. The Primer inside the app explains, in plain terms, how phones are actually tracked — the difference between being hacked and being tracked, what your SIM broadcasts, how location is correlated and sold, and what genuinely helps. The tool teaches you to need it less, not more.

The App About Shade → · MIT License · github.com/sandiegotech/Shade

Status In testing · Not yet on the App Store · TestFlight invites by request — write to test it

Why It MattersThe stakes

What we protect when we protect privacy is not the data. It is the self.

The Institute holds that a person should command their machines — and a device that reports on you to parties you cannot name is a machine under someone else's command.

But the research question Shade investigates runs deeper than the technical. A person whose habits, preferences, locations, and associations are continuously collected, modeled, and sold has been made legible to everyone except themselves. In the age of AI, those models grow more accurate and their uses more consequential — influencing what you see, what you are offered, what is decided about you.

Privacy is not a luxury feature. It is a condition of genuine freedom. And it is a habit — one that must be cultivated deliberately, because the systems that profit from its absence are very good at designing it away. The fellowship researchers of SDIT built Shade because they believe the right instrument for this is not outrage but understanding: clear sight of what is happening, and a finite practice for doing something about it.