Telling the story of people’s lives – Strata+Hadoop, Feb 15, San Jose

We can draw a colorful picture of people’s everyday lives from the data we collect via smartphones. To tell the data-story, we need to translate the raw measurements into meaningful events, like “driving a car”, “strolling in a mall”, or even more intimate, like “being nervous”. We will show how to access the phone’s data, how to derive complex events from the phone’s raw data, and how to bring it into a meaningful story, and how to make it work for businesses. Cases we’ll show: an app for the automotive industry to support ecological driving, learning about preferences of Chinese passengers at an international airport, and supporting people suffering from osteoporosis to stabelize their condition and maintain mobility. More on Strata+Hadoop  

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Wearable Data Hack Munich 2015

Wearable Data Hack Munich 2015

Today, we would like to announce something special. Something we can’t wait to take place and until mid June it’s going to be tough to sit tight. Please, feel invited to our Wearable Data Hack Munich 2015! The Wearable Data Hack Munich 2015 is the first hack day on wearable tech applications and data. It will take place right after the launch of Apple Watch – the gadget we expect to rise the tide for all wearables. Withe the Wearable Data Hack Munich 2105, we aim to kick-off app development for the emerging smartwatch and wearable tech market. During this weekend you will have the first occasion to share your views and ideas and jointly gather experience with the new data realm. Apple calls the Apple Watch “Our most personal device ever”. And with good cause: The data from wearable tech, smartphones and smartwatches are really the most personal data ever. Our mobile devices accompany every step we take, every move we make. A plentitude of sensors on the devices draw a multidimensional picture of our daily lives. Applications of wearable data range from fitness to retail, from automotive to health. There is hardly an industry that cannot make direct […]

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The Datarella Data Timeline

The Datarella Data Timeline

If you live in the Americas, Europe, Asia-Pacific or Australia, you probably are one of 1.76 billion smartphone users. What do you do with your smartphone? You use apps for texting, social networking, gaming, etc. And you produce data. Lots of data. Every move you make, every breath you take, your behavior results in data: location, movement, body functions, external situational data. And you produce all this data on the fly, passively, without any effort. But where is this data? Can you see it? Do you know exactly which data you produce? At which times or to what extent? Do you know that your data can be of tremendous value for you? That you can improve your health by using it? Can you imagine knowing all about your data, that you see your data, in realtime, presented in a meaningful way that lets you understand its value? Welcome to the Datarella Data Timeline  The Data Timeline  is an app-centric timeline of your own behavior data and that of your social network. Using the Data Timeline is like looking into a mirror: you see yourself – not your external appearance but the visualization of your body data, you see the most complete […]

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Sharing Goods And Sharing Data: Both Is Fun, Big Business And A Social Responsibility

Sharing Goods And Sharing Data: Both Is Fun, Big Business And A Social Responsibility

Around 2010, Lisa Gansky coined the term Sharing Economy, or Mesh companies, offering their customers efficient shared access to their products instead of selling their products to them. Recently, it’s being called Collaborative Consumption or Collaborative Economy. It’s all about finding ways to make better use of valuable resources that have remained unused. Convenient access is being made affordable to people who can’t afford different products, or simply don’t need to own those products since they would only use them infrequently. Typical mesh businesses like AirBnB, LendingClub or Cookening, demonstrate the power of sharing in very different ways: AirBnB is on the way to pass Hilton as the world’s largest hotelier in 2015, that is 7 years after its inception. The US peer-to-peer lending company Lending Club has originated over 4 billion USD in loans – it was originally founded as a Facebook app in 2006. The typical Mesh business runs a stylish app with a high usability. It’s service is new, easy to use and affordable. But all that does not fully explain the tremendous speed they conquer one market after the other. Who is the driver behind the Sharing Economy and it’s success? It’s the user. It’s the […]

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Could we learn all about behavior change by simply applying some makeup?

Could we learn all about behavior change by simply applying some makeup?

At the Quantified Self Conference 2014 in Amsterdam, I attended a breakout session with the promising title „The Future Of Behavior Change“, moderated by Lukasz Piwek, a Research Fellow in Behavioral Change at the Bristol Business School. Our curious and engaged crowd discussed that matter extensively and – unsurprisingly – left the session with more questions than answers. But: „it’s not about the answers, it’s about find more questions. Answers are so temporary“, as Ernesto Ramirez, the Quantified Self Lab’s Program Director elegantly tweeted. As a good researcher, Lukasz himself offered some possible answers but concluded that definitely more research is needed. Based on his studies at Bristol Business School, he thinks that these factors lead to a lack of long-term user involvement while using Quantified Self tools, which is a major condition for behavior change: – Lack of data validity and reliability – Oversimplification of inferences Regarding his first point, I take the risk of completely ignoring (his) research and putting my shirt on good judgement (which I usually avoid to do): I claim that people don’t bother at all, ignore any scientific shortcomings and look for comprehensibility and usability of Quantified Self tools: as long as variances of […]

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Smartphone Geiger Counter

When photons, the particles of light, hit the chip of a smartphone’s camera, they excite electrons on the chip’s surface and change the conductivity or even generate voltage within the small area arround the impact. Gamma rays which are often products of radioactive decay, are also electromagnetic waves, just like light, however much more energetic. That means: as radioactive radiation can expose a chemical photographic film, it can as well effect the camera chip in the smartphone. A team of researchers at the Idaho National Laboratory in Idaho Falls have used this property to change common smartphones into detectors for radioactive radiation. The radiation is recorded via the camera an an app, which calculates the radiation intensity from the data collected. With this approach we learn again, how versatile mobile devices can be deployed. Up to thirty sensors in each smartphone measrure all kinds of variables like temperature, magnetism, brightness, sound and many more. With a little creativity we can combine these measurements and get valuable data about the environment around the smartphone and its user, that not rarely can replace expensive, specialized methods. Here the link to the original publication: Joshua J. Cogliati, Kurt W. Derr, Jayson Wharton: Using […]

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explore yourself – Datarella’s behavioral analytics app

explore yourself – Datarella’s behavioral analytics app

With explore you will learn more about yourself and your own behavior. You may answer survey about yourself, your daily activities, your habits and opinions. You may answer all surveys, or you select the ones which are of interest for you. Additionally to the questions asked by our editorial team, explore tracks your locations and movements. Data gathered with explore will be presented to you anonymously and in a non-traceable format – either as clear charts, on maps or as texts. That said, your data will be analyzed, but nobody knows that it’s your data. In the same way, you don’t know who else is a member of explore or who is behind individual data points. 3 reasons to use explore You can participate in the explore contest and win cool prizes! You can compare yourself with other explore members! You will know yourself better! The goal of using explore is to understand yourself better. The combination of actively answered surveys and the collected location and movement data provide a comprehensive perspective on your daily behavior and your attitudes. You will find questions from the following sectors of daily life: Fitness & Health Jobs & Career Recreation & Family Traveling & […]

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Datarella Consulting

We specialize in Big Data and Quantified Self consulting. Our Big Data experts provide researchers and customers in the healthcare, media, tourism, finance and retail industries with analysis based on data science models and help them to comprehend the human behavior better. Our QS consultants help companies to understand the Quantified Self framework and to instrumentalize Quantified Self tools in order to build loyalty programs, mobility concepts, self-care schemes and inhouse communication analyses.  BIG DATA CONSULTING Analyze what’s there; collect data to fill the gaps. Interpret the results; get the meaning out of the analyses. Decide based on the insights. Implement your decision. Control and feedback KPIs from the day-to-day operations. The most important and economically most precious foresight is: “What will people do next?“ If we know what our customers will need, want and what they’ll be willing to pay for, we can prepare our business to meet the demand. More often than ever, a new product, service, or technology enters the market and breaks it up before any of the established companies are able to adopt. In these times of Darwinian competition, when small startups or even unbound individuals can bring up something new that totally disrupts your business, […]

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Virtuelle Assistenten – Eine neue Generation von Apps wächst heran

Virtuelle Assistenten – Eine neue Generation von Apps wächst heran

Wer Siri oder Google Now kennt, weiss die Dienste der virtuellen Assistenten zu schätzen. Von einfachen Arbeiten wie der raschen ins Smartphone gesprochenen Erinnerung oder einem Kalendereintrag angefangen, über Kleidertips für den Folgetag aufgrund der integrierten Wetterdaten bis hin zur geänderten Routenplanung aufgrund neuer Stauinformationen: es ist einfach sehr praktisch, wenn jemand „mitdenkt“. Mitdenkende Apps sind aktuell stark im Kommen: Auf dem Bloomberg Next Big Thing Summit stellten sie den Löwenanteil der Geschäftsmodelle, die man im Silicon Valley für die meistversprechenden hält. Da Apps natü+rlich nicht wirklich mitdenken, sondern relevante Daten aus dem jeweiligen Nutzer Kontext integriert, spricht man von contextually aware applications. Über Sensoren sammeln Smartphones Daten über die Bewegungen, Aufenthaltsorte, Interaktionen, Geräusch- und Lichtszenarien,  in denen sich der Nutzer bewegt.  Insbesondere die Gesundheitsbranche steht hier vor eine Revolution: Apps und tragbare medizinische Geräte können beispielsweise herzinfarktgefährdeten Menschen rechtzeitig vor dem Infarkt mitteilen, dass eine Notsituation bevorsteht. So wird aus einem Life-logging für Nerds schnell eine praktische massentaugliche Anwendung, die kein Betroffener mehr missen möchte. Oder, wie Gary Wolf auf der Quantified Self Conference 2013 treffend bemerkte: „Quantifying yourself will be regarded as a responsibility.“ Damit den reizvollen Anwendungen auch die entsprechenden Technologien zur Verfügung stehen, kündigen derzeit Beratungsgesellschaften […]

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Human API – Quantified Self für jedermann

Human API – Quantified Self für jedermann

Self Quantifizier wissen es schon lange: nicht nur das Sammeln und Analysieren der eigenen Daten, sondern gerade das Teilen der Daten mit anderen bringt hohe Erkenntnisgewinne. Was zunächst für weniger technologisch-affine Menschen undenkbar ist – das Teilen privater Verhaltensdaten mit anderen – bringt neben dem Wissen über die eigene Person eine Einordnung in das jeweilige soziale Umfeld mit sich, die dem Nutzer wiederum extrem hilft, sich in der Gesellschaft zu verorten. Andrei Pop geht mit seinem Startup Human API den nächsten Schritt:: er möchte dem Normalbürger, der kein ausgewiesener Quantified Self Fan ist, möglichst einfach zu den oben beschriebenen Erkenntnisgewinnen verhelfen. Human API aggregiert Schnittstellen einer Reihe von Apps und Geräten aus dem Gesundheits- und Wellnessbereich. Zusätzlich macht das Startup externen Entwicklern die Normalisierung und Standardisierung der Daten einfacher. Über inhaltlich zusammenpassende APIs  werden kategorisierte Datenströme geliefert: so ist es für Dritte wesentlich leichter, auf thematischen Datenströmen aufzusetzen.  Dass diese Daten begehrt sind, zeigt der Andrang: über 600 Entwickler meldeten sich innerhalb der ersten 48 Stunden nach Einladung.

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