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By Selling Its In-House Satellites, Google Has Remade the Industry - The Atlantic
A New Juggernaut in the Earth-Observing Satellite Industry Last week, Google pushed one of the most interesting sectors in Silicon Valley toward maturity—and brought a milestone in cartography closer to reality. It…
IFTTT  Instapaper 
yesterday
The most detailed maps of the world will be for cars, not humans | Ars Technica
The most detailed maps of the world will be for cars, not humans The weight of the automotive and tech industries is fully behind the move toward self-driving cars. Cars with "limited autonomy"—i.e., the ability to drive…
IFTTT  Instapaper 
yesterday
Data Asymmetry – Medium
An understandable reaction to data asymmetry is to hide your data and retreat from technology, but the tools can work for you as well
dataasymmetry 
4 days ago
Burak Arikan: Data Asymmetry | Archaeologies of Media and Technology Research group | University of Southampton
Information asymmetry was the primary driver of capital and power in the past century. When one side aggregated more or better information than the other, it gained power. Since the emergence of the internet and the web, information has grown increasingly abundant and far more people have gained access to formerly enclosed knowledge.
dataasymmetry 
4 days ago
NBA bans teams from using wearable data in contract negotiations
NBA bans teams from using wearable data in contract negotiations Posted on davidatfreelance@gmail.com Contributing Writer NBA teams will not be allowed to use a player’s wearable data in contract negotiations or transactions,…
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7 days ago
This Man Is Trying To Photograph Every Postbox In Britain | Gizmodo UK
This Man Is Trying To Photograph Every Postbox In Britain The postal service was basically a very early form of the internet - and postboxes were the modems that connected us with the world. The only difference?…
IFTTT  Instapaper 
15 days ago
www.theguardian.com
Google's DeepMind plans bitcoin-style health record tracking for hospitals Patients at the A&E department of London’s Royal Free Hospital, which has partnered with DeepMind Health.Photograph: Alamy Stock Photo Google’s AI-powered…
IFTTT  Instapaper 
19 days ago
Facebook Likes Leave a Digital Paper Trail - The Atlantic
The Facebook Algorithm Is Watching You You can tell a lot about a person from how they react to something. That’s why Facebook’s various “Like” buttons are so powerful. Clicking a reaction icon isn’t…
IFTTT  Instapaper 
28 days ago
www.theguardian.com
Robert Mercer: the big data billionaire waging war on mainstream media http://ift.tt/2lIUjXP
IFTTT  Instapaper 
28 days ago
Arnstein's Ladder of Citizen Participation
a “ladder of citizen participation”. The ladder is a guide to seeing who has power when important decisions are being made. It has survived for so long because people continue to confront processes that refuse to consider anything beyond the bottom rungs.
civictech 
29 days ago
Working open - MozillaWiki
transparent, passively transparent, actively transparent, open
culture  open 
4 weeks ago
www.theguardian.com
How statistics lost their power – and why we should fear what comes next | William Davies I n theory, statistics should help settle arguments. They ought to provide stable reference points that everyone – no matter what their politics – can agree on.…
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5 weeks ago
Fifteen modifications later, he threw it into her fantasies — The Warren Ellis Gun Machine remix
Fifteen modifications later, he threw it into her fantasies — The Warren Ellis Gun Machine remix …
IFTTT  Instapaper 
5 weeks ago
"Creating a financial model that benefits the many over the few" - A Q&A with Brianna Wettlaufer, CEO of Stocksy - The Open Co-op
"Creating a financial model that benefits the many over the few" - A Q&A with Brianna Wettlaufer, CEO of Stocksy - The Open Co-op http://ift.tt/2kGBLa2
IFTTT  Instapaper 
5 weeks ago
Europa - RAMON - Welcome page
RAMON - Reference And Management Of Nomenclatures
SKOS  RDF  statistics 
6 weeks ago
Guidance on data markers
Annotations in statistical tables
GSS  datamarkers 
6 weeks ago
How private contractors are taking over data in the public domain | Reveal
How private contractors are taking over data in the public domain Tom MacWright, a software engineer who cycles to work in Washington, D.C., would be breezing along 14th Street NW when he suddenly would find himself boxed out…
IFTTT  Instapaper 
6 weeks ago
George Orwell: Politics and the English Language
George Orwell: Politics and the English Language Most people who bother with the matter at all would admit that the English language is in a bad way, but it is generally assumed that we cannot by conscious…
IFTTT  Instapaper 
6 weeks ago
IIIF, Webmentions, and Collaboration between Institutions and Research Communities
IIIF, Webmentions, and Collaboration between Institutions and Research Communities A post by Jeffrey C. Witt (LombardPress and SCTA) and Rafael Schwemmer (text & bytes) Introduction In this post, we want to describe a new possibility for…
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6 weeks ago
Ur-Fascism | by Umberto Eco | The New York Review of Books
Ur-Fascism In 1942, at the age of ten, I received the First Provincial Award of Ludi Juveniles (a voluntary, compulsory competition for young Italian Fascists—that is, for…
IFTTT  Instapaper 
6 weeks ago
GitHub - google/open-location-code: Open Location Codes are short, generated codes that can be used like street addresses, for places where street addresses don't exist.
google/open-location-code Abstract Many parts of the world and more than half the world’s urban populationlack street addresses . The falling prices of smartphones, andtheir increasing…
IFTTT  Instapaper 
7 weeks ago
Making it simpler to publish data | Data in government
Making it simpler to publish data | Data in government Data.gov.uk exists for two reasons: to facilitate the publication of good quality open data by government organisations and to make it easy for users to find…
IFTTT  Instapaper 
7 weeks ago
How city “smell-mappers” can help with virtual reality, real estate and how we understand the past | CityMetric
How city “smell-mappers” can help with virtual reality, real estate and how we understand the past Data scientists, artists and urban planners are mapping digital “smellscapes”, opening up new possibilities for virtual reality, real estate and how we…
IFTTT  Instapaper 
7 weeks ago
Cannabis Data | DOPE Magazine | Marijuana News & Reviews
Cannabis Data | DOPE Magazine | Marijuana News & Reviews Keep Cannabis Data Open and Free For All More and more cannabis trade shows feature companies that provide cannabis data and analytics for the industry. Coming…
IFTTT  Instapaper 
7 weeks ago
The Provenance alpha: building trust from transparency – Digital blogs
The Provenance alpha: building trust from transparency The Co-op is committed to being radically transparent. A decade ahead of the government’s traffic light system, we campaigned for food and nutrition labelling…
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7 weeks ago
How to Avoid Being Psychologically Destroyed by Your Newsfeed — Parenting Through the Storm
How to Avoid Being Psychologically Destroyed by Your Newsfeed This past week has been brutal , in terms of what has been coming across my newsfeed . And 2016 wasn't exactly a picnic either . So lately I've been thinking a…
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7 weeks ago
XCOM 2: Long War 2 turning Geoscape to battlefield | Rock, Paper, Shotgun
XCOM 2: Long War 2 turning Geoscape to battlefield XCOM 2: Long War 2 , the officially-sanctioned sequel to the venerated XCOM mod, will expand the ‘Geoscape’ global strategy layer in new and awful ways. Long…
IFTTT  Instapaper 
7 weeks ago
SHARE: system design and case studies for statistical health information release
SHARE is one of the first systems to provide a mechanism for custodians to release differentially private aggregate statistics for a variety of use cases in the medical domain. This proof-of-concept system is intended to be applied to large-scale medical data warehouses.
privacy-preserving-analytics 
9 weeks ago
Publishing data from electronic health records while preserving privacy: A survey of algorithms
he dissemination of Electronic Health Records (EHRs) can be highly beneficial for a range of medical studies, spanning from clinical trials to epidemic control studies, but it must be performed in a way that preserves patients’ privacy. This is not straightforward, because the disseminated data need to be protected against several privacy threats, while remaining useful for subsequent analysis tasks. In this work, we present a survey of algorithms that have been proposed for publishing structured patient data, in a privacy-preserving way. We review more than 45 algorithms, derive insights on their operation, and highlight their advantages and disadvantages. We also provide a discussion of some promising directions for future research in this area.
privacy-preserving-analytics 
9 weeks ago
Reconsidering Anonymization-Related Concepts and the Term "Identification" Against the Backdrop of the European Legal Framework. - PubMed - NCBI
we have tried to circumvent a circular definition for the term "identification" by making two decisions: first, deciding which (natural) identifier should stand for the individual; second, deciding how to recognize the individual. In addition, we provide an overview of anonymization techniques/methods for preventing re-identification. The discussion of basic notions related to anonymization shows that there is some work to be done in order to achieve a mutual understanding between legal and technical experts concerning some of these notions
privacy-preserving-analytics 
9 weeks ago
The Importance of Context: Risk-based De-identification of Biomedical Data. - PubMed - NCBI
Accurately measuring the risk of re-identification in a specific data sharing scenario is an important aspect of data de-identification. Overestimation of risks will significantly deteriorate data quality, while underestimation will leave data prone to attacks on privacy. Several models have been proposed for measuring risks, but there is a lack of generic methods for risk-based data de-identification. The aim of the work described in this article was to bridge this gap and to show how the quality of de-identified datasets can be improved by using risk models to tailor the process of de-identification to a concrete context.
privacy-preserving-analytics 
9 weeks ago
The risk of re-identification versus the need to identify individuals in rare disease research. - PubMed - NCBI
In this article, we identify the needs and arguments related to de-identification and re-identification of patients and research subjects and suggest how the different needs may be balanced within a framework of using unique encrypted identifiers
privacy-preserving-analytics 
9 weeks ago
Anonymization for outputs of population health and health services research conducted via an online data center. - PubMed - NCBI
We propose a two-step approach to anonymizing analysis outputs from an ODC. A data preparation stage requires data custodians to apply some basic treatments to the dataset before making it available. A subsequent output anonymization stage requires researchers to use a checklist at the point of downloading analysis output. The checklist assists researchers with highlighting potential privacy concerns, then applying appropriate anonymization treatments.
privacy-preserving-analytics 
9 weeks ago
Big Data Analytics over Encrypted Datasets with Seabed - Microsoft Research
This paper presents Seabed, a system that enables efficient analytics over large encrypted data sets.
privacy-preserving-analytics 
9 weeks ago
[1412.7584] Differential Privacy and Machine Learning: a Survey and Review
n this paper, we consider differential privacy, one of the most popular and powerful definitions of privacy. We explore the interplay between machine learning and differential privacy, namely privacy-preserving machine learning algorithms and learning-based data release mechanisms
privacy-preserving-analytics 
9 weeks ago
A Literature analysis on Privacy Preserving Data Mining
We provide a review of the state-of-the-art
methods for privacy and analyze the representative technique for privacy preserving data mining
privacy-preserving-analytics 
9 weeks ago
A GENERAL SURVEY OF PRIVACY-PRESERVING DATA MINING MODELS AND ALGORITHMS
In this paper, we provide a review of the state-of-the-art methods
for privacy
privacy-preserving-analytics 
9 weeks ago
A Review on Data Anonymization in Privacy Preserving Data Mining
This paper provides a review of different approaches for privacy preserving data
mining along with merits and demerits. It provides a brief explanation of anonymization approach along with its
different techniques like k-anonymity, l-diversity and t-closeness. It also includes comparison between different
algorithms of anonymization with their advantages and disadvantages.
privacy-preserving-analytics 
9 weeks ago
A comprehensive review on privacy preserving data mining | SpringerPlus | Full Text
The fundamental notions of the existing privacy preserving data mining methods, their merits, and shortcomings are presented. The current privacy preserving data mining techniques are classified based on distortion, association rule, hide association rule, taxonomy, clustering, associative classification, outsourced data mining, distributed, and k-anonymity, where their notable advantages and disadvantages are emphasized. This careful scrutiny reveals the past development, present research challenges, future trends, the gaps and weaknesses
privacy-preserving-analytics 
9 weeks ago
Privacy Preserving Data Analytics for Smart Homes
A framework for maintaining security &
preserving privacy for analysis of sensor data from smart homes,
without compromising on data utility is presented
privacy-preserving-analytics 
9 weeks ago
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