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November 30 2017

3we

Kryptowährung: IOTA Foundation eröffnet einen Marktplatz für Daten von IoT-Geräten

Die Gruppe, die die Kryptowährung IOTA entwickelt hat, testet aktuell einen Marktplatz mit über 20 namhaften Unternehmen als Teilnehmern. Dort sollen Sensordaten von Geräten zum Kauf bereitstehen.

November 19 2017

3we

Why is this Company Tracking Where You Are on Thanksgiving?

Earlier this week, several publications published a holiday-themed data study about how families that voted for opposite parties spent less time together on Thanksgiving, especially in areas that saw heavy political advertising. The data came from a company called SafeGraph that supplied publications with 17 trillion location markets for 10 million smartphones. A report looks at the bigger picture:

The data wasn't just staggering in sheer quantity. It also appears to be extremely granular. Researchers "used this data to identify individuals' home locations, which they defined as the places people were most often located between the hours of 1 and 4 a.m.," wrote The Washington Post. The researchers also looked at where people were between 1 p.m. and 5 p.m. on Thanksgiving Day in order to see if they spent that time at home or traveled, presumably to be with friends or family. "Even better, the cellphone data shows you exactly when those travelers arrived at a Thanksgiving location and when they left," the Post story says. To be clear: This means SafeGraph is looking at an individual device and tracking where its owner is going throughout their day. A common defense from companies that creepily collect massive amounts of data is that the data is only analyzed in aggregate; for example, Google's database BigQuery, which allows organizations to upload big data sets and then query them quickly, promises that all its public data sets are "fully anonymized" and "contain no personally-identifying information." In multiple press releases from SafeGraph's partners, the company's location data is referred to as "anonymized," but in this case they seem to be interpreting the concept of anonymity quite liberally given the specificity of the data.

November 16 2017

3we

FDA Approves Digital Pill That Tracks If Patients Have Ingested Their Medication

An anonymous reader quotes a report from The New York Times (Warning: source may be paywalled; alternative source):

For the first time, the Food and Drug Administration has approved a digital pill -- a medication embedded with a sensor that can tell doctors whether, and when, patients take their medicine. The approval, announced late on Monday, marks a significant advance in the growing field of digital devices designed to monitor medicine-taking and to address the expensive, longstanding problem that millions of patients do not take drugs as prescribed. Experts estimate that so-called nonadherence or noncompliance to medication costs about $100 billion a year, much of it because patients get sicker and need additional treatment or hospitalization. Patients who agree to take the digital medication, a version of the antipsychotic Abilify, can sign consent forms allowing their doctors and up to four other people, including family members, to receive electronic data showing the date and time pills are ingested. A smartphone app will let them block recipients anytime they change their mind. Although voluntary, the technology is still likely to prompt questions about privacy and whether patients might feel pressure to take medication in a form their doctors can monitor.
3we

Big Data in der Medizin: "Das Smartphone des Patienten ist das Stethoskop des 21. Jahrhunderts"

Big Data, Künstliche Intelligenz und Virtual Reality sollen zukünftig die Medizin revolutionieren, lautet die Botschaft der Medizinmesse Medica. Dafür werden Daten gebraucht, Daten und noch mehr Daten.

November 09 2017

3we

How Facebook Figures Out Everyone You've Ever Met

"I deleted Facebook after it recommended as People You May Know a man who was defense counsel on one of my cases. We had only communicated through my work email, which is not connected to my Facebook, which convinced me Facebook was scanning my work email," an attorney told Gizmodo. Kashmir Hill, a reporter at the news outlet, who recently documented how Facebook figured out a connection between her and a family member she did not know existed, shares several more instances others have reported and explains how Facebook gathers information. She reports:

Behind the Facebook profile you've built for yourself is another one, a shadow profile, built from the inboxes and smartphones of other Facebook users. Contact information you've never given the network gets associated with your account, making it easier for Facebook to more completely map your social connections. Because shadow-profile connections happen inside Facebook's algorithmic black box, people can't see how deep the data-mining of their lives truly is, until an uncanny recommendation pops up. Facebook isn't scanning the work email of the attorney above. But it likely has her work email address on file, even if she never gave it to Facebook herself.

...[weiter]...

November 06 2017

3we

Datenschutzbeauftragter schlägt Gütesiegel für Gesundheits-Apps vor

Viele sehen die Zukunft der Medizin auch in Gesundheits-Apps, mit denen sich Ärzte und Patienten mobil über Krankheiten verständigen können. Das birgt Gefahren, warnt der oberste Datenschützer von Rheinland-Pfalz. Er macht Vorschläge für mehr Sicherheit.

3we

App Developer Access To iPhone X Face Data Spooks Some Privacy Experts

A reader shares a report:

Apple won accolades from privacy experts in September for assuring that facial data used to unlock its new iPhone X would be securely stored on the phone itself. But Apple's privacy promises do not extend to the thousands of app developers who will gain access to facial data in order to build entertainment features for iPhone X customers, such as pinning a three-dimensional mask to their face for a selfie or letting a video game character mirror the player's real-world facial expressions. Apple allows developers to take certain facial data off the phone as long as they agree to seek customer permission and not sell the data to third parties, among other terms in a contract seen by Reuters. App makers who want to use the new camera on the iPhone X can capture a rough map of a user's face and a stream of more than 50 kinds of facial expressions. This data, which can be removed from the phone and stored on a developer's own servers, can help monitor how often users blink, smile or even raise an eyebrow.
3we

Zankapfel Fahrzeugdaten: TÜV-Dachverband gegen Speicherung auf Hersteller-Servern

Das Geschäft mit den begehrten Daten, die moderne Fahrzeuge generieren, verläuft für die Hersteller nicht so ungestört wie erhofft: Jetzt meldet der TÜV-Dachverband Bedenken gegen beabsichtigte zentrale Speicherungen an.

October 27 2017

3we

Big Data: Neue Datenschutz-Grundverordnung ändert einiges

Ab Mai 2018 treten in der EU neue Datenschutzregeln in Kraft. Big-Data-Anwendungen müssen künftig hohe Hürden überwinden, um als datenschutzkonform zu gelten.

3we

Gesundheitsportal in Dänemark macht Patienten zu gleichberechtigten Partnern

sundhed.dk ist als Gesundheitsportal ein zentraler Zugangspunkt für dänische Bürger zu ihren medizinischen Daten. Der CEO des Portals gibt Hinweise, wie sich das in Deutschland umsetzen ließe.

October 12 2017

3we

How Facebook Outs Sex Workers

An anonymous reader shares a Gizmodo report:

Leila has two identities, but Facebook is only supposed to know about one of them. Leila is a sex worker. She goes to great lengths to keep separate identities for ordinary life and for sex work, to avoid stigma, arrest, professional blowback, or clients who might be stalkers (or worse). Her "real identity" -- the public one, who lives in California, uses an academic email address, and posts about politics -- joined Facebook in 2011. Her sex-work identity is not on the social network at all; for it, she uses a different email address, a different phone number, and a different name. Yet earlier this year, looking at Facebook's "People You May Know" recommendations, Leila (a name I'm using in place of either of the names she uses) was shocked to see some of her regular sex-work clients. Despite the fact that she'd only given Facebook information from her vanilla identity, the company had somehow discerned her real-world connection to these people -- and, even more horrifyingly, her account was potentially being presented to them as a friend suggestion too, outing her regular identity to them. Because Facebook insists on concealing the methods and data it uses to link one user to another, Leila is not able to find out how the network exposed her or take steps to prevent it from happening again. "We're living in an age where you can weaponize personal information against people"
Kashmir Hill, the reporter who wrote the above story, a few weeks ago shared another similar incident.
Reposted byv2pxdarksideofthemoonAtariswissfondue-interimpaketshikaji

October 11 2017

3we

Predictive Policing: Polizei-Datenanalyse arbeitet nicht wie gewünscht

Eine neue Untersuchung zeigt, dass die Vorhersage von Straftaten mittels Big Data geringere Effekte hat als erwartet.

October 05 2017

3we

Big Data in der Medizin: Quadratur des Kreises

Ein Berliner Start-up will Big-Data-Analysen in der Medizin ermöglichen – und trotzdem die Privatsphäre der Patienten schützen. Auf dem "Innovators Summit – Digital Health" stellt es seinen Ansatz vor.

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