On guard.
Game of Thrones Daily

titsay
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Kaledo Art
Xuebing Du

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Sweet Seals For You, Always

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shark vs the universe
Lint Roller? I Barely Know Her
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@markbraggins
On guard.
Data for the Community: New research for Power to Change
Power To Change: empowering people Power to Change is an independent charitable trust that supports and develops community businesses in England. With an endowment of £150 million in 2015 from the Big Lottery Fund, Power to Change helps local people run community businesses. “Our vision is to create better places through community business. We will use our endowment to strengthen community…
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Announcing Open Data Camp 5
Announcing Open Data Camp 5
This post was originally published on the Open Data Camp blog We are delighted to announce that Open Data Camp is returning once again. Open Data Camp 5 will be the weekend of 21/22 October at Queen’s University Belfast, in the Computer Science building The Computer Science building at Queen’s University We are really grateful to Queen’s University, and the School of Electronics, Electrical…
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Revisiting 'free' Twitter reporting and analysis tools in 2016
Revisiting ‘free’ Twitter reporting and analysis tools in 2016
In January 2012 I wrote Ten of my favourite reporting and analysis tools for Twitter. Lots of people commented and suggested their own favourites, so a couple of months later I wrote a follow-up, imaginatively entitled Ten (more) of my favourite reporting and analysis tools for Twitter. I re-read both posts a few days ago, and tried out some of the links I’d not used recently. As expected, a lot…
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Pez Machines for self-driving cars, and other musings
Pez Machines for self-driving cars, and other musings
This is the third installment in a series of posts about transport in the future. The previous ones are: What does the future hold? [Transport] Thinking aloud: Back to the Future [of Transport] I have no idea how many I’ll write on this subject – I’m still digesting comments, accumulating links and reading material, so there may be a few more yet. More about self-driving cars So far, I’ve…
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Thinking aloud: Back to the Future [of Transport]
Thinking aloud: Back to the Future [of Transport]
Public transport comes in many forms A few days ago, I blogged: What does the future hold? [Transport], in which I began thinking aloud about what transport might look like in the future. It followed a Twitter conversation with John Murray and Caroline Robinson, and was prompted by Rob Price‘s article in Business Insider: Aggressive drivers are going to bully self-driving cars. Damn, forgot…
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What does the future hold? [Transport]
What does the future hold? [Transport]
John Murray shared an interesting article this morning Aggressive drivers are going to bully self-driving cars https://t.co/PQelE0nvAV via @sai — John Murray (@MurrayData) October 23, 2016 The gist of the article is that – whilst autonomous vehicles can be instructed to take obey laws, follow rules, and react to environmental conditions etc – humans could exploit that ‘weakness’ and ‘bully’…
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Talk About Local #TAL16
Talk About Local #TAL16
Last Saturday I left the house in the dark, and caught the first available bus. It had to be something good to get me out of bed that early in the morning at a weekend. It was… Guess where I am today? #TAL16 pic.twitter.com/EZjVgB2DNh — Huw Marshall (@Marshallmedia) October 15, 2016 #TAL16 – the hyperlocal unconference. If you’ve not heard of hyperlocal before, it’s an increasingly popular form…
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A look back at Open Data Camp 3: After the Watershed
A look back at Open Data Camp 3: After the Watershed
This post was first published on the Open Data Camp blog. It’s several weeks since the third UK Open Data Camp. In case that means nothing to you: Camp ‘Camp’ is a term commonly used to refer to an ‘unconference’, which basically means it’s an event with no predefined agenda – instead, attendees ‘pitch’ session ideas to each other. Data ‘Data’, refers to text, words, numbers, images, sound…
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Open Data Camp: Hitting the road again
Open Data Camp: Hitting the road again
This post was originally published on the Open Data Camp blog. We’re back First, there was Open Data Camp, in Winchester (Feb 2015). Then, came Open Data Camp 2, in Manchester (Oct 2015). Guess what’s coming next…. Correct! Back on the road again We’re absolutely thrilled to announce that the Open Data Camp unconference charabanc is hitting the road again, and will be coming to Bristol the…
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Using Data as a policy maker – Pt1
Using Data as a policy maker – Pt1
This is the first in a series of posts about an event: Using Data as a policy maker, which was held in Winchester, in November 2015. This post first appeared on the Open Data Aha! blog. Using data for policy – Aha! John Denham welcoming attendees Wearing my ‘Open Data Aha!‘ hat*, I teamed up with Southern Policy Centre and Know Now Information to organise Using Data as a policy maker, which was…
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How Long Would You Survive on Mars?
Just how long could you survive on the surface of Mars without a spacesuit? Find out what it’d be like to stand on the surface of Mars, if you forgot to pack properly.
A new venture in film-making using Unmanned Aerial Vehicles (UAVs), more commonly referred to as 'drones'
Drones - opportunity or threat?
Drones – opportunity or threat?
Once the purview of the military and spies, ‘unmanned aerial vehicles’ (‘Drones’), are increasingly common.
Just hot air?
A few months ago the giant online retailer Amazon announced its intentionto deliver packages within 30 minutes of customers placing an order. Despite widespread incredulity, Amazon backed this up with footage from test flights, and still assures customers in the US that they…
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a personal API
i’ve long been a follower of the quantified self – even back before we started calling it that and started building all this software behind it. when i was in graduate school, i remember thinking i wasn’t reading enough. so i made an effort to cut through many must-read books (75). in two years of school, i tracked (microsoft excel, as you do) each page read (21,278) and the number of days (622) and kept a running log of pages-per-day (34.21). i got my goal of 10,000 pages a year and, bonus!, i got through a few classics that still continue to be my favorite stories.
more recently, as i’ve gotten older, i started getting more interested in tracking my health and fitness. when we are young and in our twenties, we can get away with pretty much anything. but like everyone else, the older i get, the more i realize i only have one body – and that i should try to keep it tuned to get the most performance out of it. i started at first by writing my workouts down, and then trying out all types of digital trackers. one favorite tool that came out of this period was the withings scale: it allowed me to periodically keep track of trends in my weight and body composition and allowed me to think about big trends in my life that affected performance.
so far, i’ve used various tools and hacks over the years to collect this data. but i’ve long wanted it all in one place – or, at least, something to give me the illusion of ‘one place’. a dataset that is a single repository and view of my body as opposed to various silos of data scattered across different services and devices. of course, this requires that we all play along in some way and make our systems open and provide APIs for getting at this data. not only are we still in the early stages of building such self awareness software, but so too are we still some ways from designing the right data sets and figuring out ways to expose them to our users. i believe the openness of the latter is just as important as the first point and i think we still have some ways to go in that regard. (for example, on many of the services i’ve tried recently, i’ve had to cobble together and reverse engineer things to pull my own raw data out in some normalized form).
as a part of all these experiences, i’ve always been curious about the idea of a personal API – a ‘quantified naveen’ – that would expose all of the information i knew about myself in a clean, open document. i think i’ve wanted to do this because:
1) i wished to play with the idea of a ‘virtual me’ that’s entirely inside the machine;
2) the idea of a ‘published’, always-public me has intriguied me (we share our tweets and checkins and photos and music habits to a wide audience, so why not other types of behavior and habits as well?);
3) and i’ve been curious what one might be able to do with such a resource: will any of it be useful for research? might one create apps on top of me? or perhaps draw insights that i haven’t yet been able to see myself?
as a way to start this off, i’ve put up an API of such personal data. i’m calling it api.naveen. it currently exposes sleep, weight, steps, fuel/activity and checkins. i aim to keep adding to this list with a few more interesting ones as i think of them.
have a look: http://api.naveen.com/
drop me a note and let me know what else you’d like to see and what you end up doing with this. i welcome the start of a good discussion.
special thanks to: eric, for coining the term ‘personal API’; sameer, for help with the data layer.
‘Hell’ by bluekilla Hell: Bluekilla
BlueLightCamp Unconference and Hackathon
Less than 3 weeks to the BlueLightCamp Unconference & Hackathon. Still time to register:http://lnkd.in/wgS3Ku