Public Service Internet monthly newsletter (April 2020)

After truth

We live in incredible times with such possibilities that is clear. Although its easily dismissed by looking at the amount of infected people with Covid19 or the huge amount of scams cashing in on our Covid19 fears.

To quote Buckminster Fuller “You never change things by fighting the existing reality. To change something, build a new model that makes the existing model obsolete.

You are seeing aspects of this happening with people rising to the challenge of 3D printing valves and open-sourcing the results.


Your living room has an agenda

Ian thinks: Christopher Wylie covers the natural progress of linked data, surveillance, iot, smart cities, data ethics and echo bubbles in a short diatribe. Taken from ANTIDOTE 2019

Doughnut Economics explained by Kate Raworth

Ian thinks: Kate made the link between human needs and the environmental demands to support life on earth, in such a engaging and simple to understand way. This is the kind of connected thinking which will drive forward much needed changes.

Hacktivists: From Anonymous to Luzsac to Occupy

Ian thinks: Great documentary about hacks, hackers, hacktivists and their political interests. Free to watch in full on youtube

Throwing out data ethics with the bath water in the age of Covid-19?

Ian thinks: Great examples of where data ethics has been squeezed or sidelined during a more immediate threat. Something we should all be aware of.

Summary of Open hardware fighting Covid-19

Ian thinks: There is so much about open hardware hackers doing incredible things to battle Covid-19. This short video sums up so many great projects in one go and gives some great advice for those wanting to help.

The local global revolution which was waiting for its moment

Ian thinks: Helena and Douglas discuss the importance of localism or decentralised, can serve and solve the problems of people. Douglas’s monologue about Covid-19 and how our current media is warping our perception is so apt.

The status-quo is over, the world after Covid-19

Ian thinks: I started to do a similar post but Vice beat me to the punch with this vast (USA focused) post highlighting the opportunities and questions we should have post Covid-19.

Stealing card details in a flash

Ian thinks: As our contact-less cards limits raise to 45 pounds per transaction. Fascinating to see with great convenience comes great opportunity for those who want to prosper quickly.

Nothing spreads faster than disinformation on the internet

Ian thinks: There is a formula for mis/disinformation (fake news if you must) and its been exploited to the max. This documentary highlights the problem stopping on news we all have heard including . Don’t have HBO, here is a Guardian review

Staying safe and staying humanly connected

Ian thinks: I couldn’t help but end this Covid-19 heavy newsletter with a positive video from Vox showing how we are staying safe and connected during this world wide pandemic. Very touching…

All complex ecosystem have parasites… including Airbnb

Airbnb basement in Iceland
Looks like a dungeon right? Imagine sleeping down there for a night like I did in Iceland

…The trick is to not let them take over. Something Airbnb needs to think a lot more about!

I stumbled across a huge Airbnb scam that’s taking over London, this story is everywhere but it was Si Lumb who first sent me the link.

After reading the massive long piece I was quite shocked at how elaborate the scam was. I won’t spoil it but its bad then it gets worst still.

Here’s a few choice quotes…

On Airbnb, it turns out, scams aren’t just the preserve of lone chancers. As the short-term rental goldrush gathers pace, Airbnb empires are being rapidly scaled and monetised, with professional operators creating scores of fake accounts, fake listings and fake reviews to run rings around Airbnb, local law enforcement and the guests who place their trust in the platform. Reviews from guests paint a grim picture of people who have been tricked into staying in accommodation with blocked drains, broken fixtures and fittings, filthy floors, dirty bed linen – or, in some cases, accommodation that they simply did not book.

This very much reminds me of when I stayed in Iceland and the host moved me to the basement so he could get another Airbnb in! My experience of Airbnb in Tokyo was awful but at least the host wasn’t lying to my actual face.

All of these accounts are essentially one person, or at least one company. And yet they have all passed Airbnb’s account verification and safety processes, with most supplying government identification, selfies, email addresses and phone numbers. Two of these accounts, though, are more closely connected than the rest: Leon and Robert Lusso Management. And that’s because they both used to be called Christian.

Seen this many times on Airbnb, this is why I always look through the reviews of the hosts for patterns. Its the same way reviews on most sites you have to check for scams.

I noticed from my experience as a host (super host even), lots of guests don’t do the research. Don’t get me wrong, the scams are elaborate but few read the reviews and ask the right questions of the host.

According to Inside Airbnb, a service that scrapes Airbnb to shine a light on the platform’s impact on cities around the world, there are an estimated 36,964 listings on Airbnb in London that are listed by a host with at least one other listing. While Airbnb presents itself as a sharing economy company, the business of hosting is becoming increasingly systemised and professionalised, with critics arguing that businesses are able to make huge sums of money at the expense of local residents who are unable to access properties locked away by the short-term rental gold rush.

So what, if anything, can be done about it? To date, attempts to adequately regulate and police Airbnb listings have been spasmodic at best, leading to a patchwork of confusing, siloed approaches. In December 2019, more concerted regulation efforts were dealt a blow when the European Court of Justice ruled that Airbnb was an “information society service”, not a real estate agency. Such rulings mean that cities must continue to act alone – with mixed success.

Really interesting to look at inside Airbnb as a host in Manchester. But its clear councils can’t keep up with the Airbnb (gravy) train and the scammers know this too well. Could Airbnb do more stop this? Yes a bit but honestly…

All complex ecosystem have parasites. – Cory Doctorow

A little tale of my motiv ring

My Motiv ring on my hand

I really enjoyed having my Bluetooth Motiv ring really, it is great except a little while ago it started to not sync properly. Reporting the wrong battery percentage, syncing inconsistently, asking to be upgraded and just being a general annoyance.

I complain back to Motiv and they tried to diagnose the problems I was having with the ring. After a few days they asked if I was playing volleyball with the ring on? I said yes and they suggested using the other hand when playing volleyball. This sounds fine but the problem I have is being ambidextrous in something’s like sports is I switch hands all the time.

I explained I bought the ring for the whole point of wearing it during sports because my pebble watch can not really be worn while playing volleyball.

They suggested a replacement ring however their UK/European supplier has changed and they couldn’t issue a replacement over the winter period. I’m thinking Brexit might have something to do with this? Anyway cutting a long story short, I was completely refunded and I get to keep my current faulty ring. Good stuff from Motiv and I may consider getting a replacement once I see what happens in the near future (maybe a second version will support a few more knocks?)

In the meanwhile, I relooked at the Oura ring 2 but frankly its a lot more and there are some serious flaws in the Android app (no google fit, export, etc).

I’ll stay put and keep wearing the Motiv ring till its completely useless, as its still capturing data and the app is still syncing with google fit.

Rethinking the user experience in age of distributed networks

Planetary.socialIt was David who reminded me to blog about planetary.social, which recently was announced on twitter by Tom Coates.

I feel this is one of many to come. Not another social networks, but the idea of rethinking the advantages of decentralised, federated and distributed networks.

When I saw Aral’s talk a long time ago at Thinking Digital, I have been wondering why don’t more designers look at the advantages and rethink them into completely new user experiences?

Imagine:  Decentralised, Its not a bug its a feature

I like what planetary has done with the FAQ page. You would also expect them to shy away from the underlying networking technology of Scuttlebutt (which is hard to explain to people use to centralised models of social networks). They took the underlying technology and turned it into a competitive business advantage, without breaking the ethos/promise of the technology.

So you got Aral, Tom and many more examples coming out of the Indieweb movement including Aaron

This is the future… Good ethical technology, good ethical design and good ethical data practices = Great new user experiences.

This might sum up the talk I’m thinking about for Agile Manchester 2020.

https://twitter.com/agilemanc/status/1219991870899675136

The smart home needs a narrative

living room of the future

I was reading this post and was thinking living room of the future in my head.

So I get why Google has backed off the smart home moniker and instead begun labeling the connected home as “helpful.” It needs to dial back expectations to something it can deliver. That’s likely to consist of an assistant pulling in device data so it can remind you to lock your front door when you go to bed, or lowering the heat when you leave your home so as to save on electricity. Even things like Amazon’s Guard, which listens for glass breaking to determine if a burglar has broken in, is only of minimal interest to consumers.

Because while these are nice functions, they are not glitzy functions. And they are not going to persuade people concerned about privacy, longevity, added complexity, security, or costs to shell out for connected devices. Another good example of this ambivalence to the smart home could be seen on a panel about smart TVs, connected displays and voice. The panel featured executives from Warner Media and Fox representing the content business. Neither of them were able to offer a compelling reason for being at a show all about the IoT other than wanting to make it easy for people to access content around the house, in their car, and on their phone.

I’ve felt this lack of creativity for a while. Everyone who has been watching this space has. Maybe it’s because the first decade of the smart home has been such a messy free-for-all and we need some space to clean things up, lower expectations, and focus on making devices and integrations usable

That lack of creativity is felt everytime I look at the new silos which are being built. The whole thing is being driven in the wrong direction and ultimately into the ever so cold arms of surveillance capitalism.

Its currently difficult to imagine IOT without some kind of service which is either monetizing or hoovering up data. But its exactly that which holds everything back?

The secret ecosystem of my personal data is being prepared

Recently in the last public service internet note, I posted…

The secret ecosystem of personal data is being unfolded

Ian thinks: People are having fun with this right now, wonder how many people will actually request their data? I put my request in a few days ago, will you?

I sent my requests off a few days following my GDPR dating data template. I’ve had quite a few replies from Sift in the last few weeks.

Starting with this one a day after my formal GDPR request

Thank you for reaching out to Sift. Due to recent press coverage, we are experiencing a high volume of data access requests. We are scaling our operations to accommodate all requests and appreciate your patience. Please expect a followup email to help us verify your identity so that your data does not fall into the wrong hands. Separately, we’ve answered a few commonly asked questions below.

What does Sift do?
Sift provides fraud prevention services to online businesses, e.g. e-commerce. Our goal is to make the internet a safer place so that businesses and their users (like you) don’t have to worry about fraud. You can learn more about our mission here.

We only use your data to provide fraud prevention services to our customers – we do not sell, share, or use your data for any other purpose. For more details about how our service works and what types of data we process, please see our Service Privacy Notice.

How may I access the data that Sift processes about me?
In order to process your data access request, we need to verify your identity to ensure that we are sharing your data with you and not a fraudster impersonating you. As unlikely as that sounds, it happens more often than you’d expect. Please expect a followup email with instructions on how to verify your identity.

How soon will Sift process my request?
Once we verify your identity, we will honor all requests under the European Union (EU) General Data Protection Regulation (GDPR) within ninety (90) days per Article 12(3) of the GDPR for verified EU citizens only. Please note we are extending this period by sixty (60) days due to the high volume of requests.

All other requests, including those from the United States, will take more time. We thank you for your patience as we must give priority to those requests for which our timely response is legally required.

Can you provide my score?
If you have requested your “Sift Score” or other type of consumer score, we’d like to clarify that Sift does not have a “Sift Score” for you (or any user) because we don’t score users; we score user interactions on a specific website for a specific type of fraud. We calculate the likelihood of whether actions you have taken on a Sift customer site are associated with specific types of fraud. The actions we analyze depends on the particular Sift product our customer uses.

However, these interactions do not add up into a single Sift Score about you. A single score is not an effective way of assessing fraud. Instead, the best way to predict fraud and provide users like you the best possible experience is to analyze each specific interaction. For more information on scores, please read our blog post here.

And then a few days later…

Thank you for contacting Sift support! We received your email and typically respond within one business day for questions related to Sift’s suite of products. In the meantime, you can browse our Help Center for answers to some common questions: https://support.sift.com/hc/en-us

Best,

The Sift Support Team

Finally I got the email to verify my identity, which needed to be done within 14 days of the email with a unique link. Which I needed to type in my phone number for the service to then send another unique link to my phone.

Verification is done via a 3rd party service called Berbix inc, and required me to scan my driving license or passport then a selfie and the site tells you to strike a pose and take a selfie (prove its not just a photo). Its all done on the phone using chrome browser rather than an app (thankfully). I had a read of their privacy policy of course and Sift’s.

Now I’m looking forward to seeing what they send me back…

Public Service Internet monthly newsletter (Nov 2019)

The first Velvet Underground album only sold 10,000 copies, but everyone who bought it formed a band - Brian Eno
The first Velvet Underground album only sold 10,000 copies, but everyone who bought it formed a band

We live in incredible times with such possibilities that is clear. Although its easily dismissed by looking down at our feet or at the endless attempts to regain our trust from the big corps.

To quote Buckminster Fuller “You never change things by fighting the existing reality. To change something, build a new model that makes the existing model obsolete.

You are seeing aspects of this happening with hard work going into building an open hardware ebook reader.

 

A framework for human values

Ian thinks: This work is so essential for all public service, non-profits and government organisations. Starting to chip away at what value means beyond the attention economy.

Yancey co-founder of Kickstarter talks about a new framework called bentosim (full episode)

Ian thinks: Yancey  talks a good game about going beyond financial maximization and society changes but I’m not convinced about bentoism.

Another attempt at the decentralized file-storage system

Ian thinks: Its another attempt, good idea combining projects but wondering about the applications of use?

China’s free market system grab on other economies

Ian thinks: Maybe Jamies conspiracy is a little heavy but a good thoughtful podcast

Introducing the Dweb

Ian thinks: good introduction by ex Mozillan written a few years ago but parts later are up to date

Panel about sex-tech from Techcrunch (NSFW)

Ian thinks: Sex tech grows its own infrastructure to over come the adolescent thoughts of the tech industry

He used the tech and wasn’t used by the tech

Ian thinks: Vinnie and Douglas talk about the importance of the human element in music and everything.

Why you shouldn’t go to Harvard?

Ian thinks: Got to love Malcolm Gladwell’s analysis of the university system, although maybe not quite right. He’s funny and rolls the research into a great story.

The secret ecosystem of personal data is being unfolded

Ian thinks: People are having fun with this right now, wonder how many people will actually request their data? I put my request in a few days ago, will you?

Mozfest10: 3D’s: Dating, Deception and Data-Portability (GDPR edition)

There are a number of blog posts I need to write about the last Mozilla Festival in the UK and I have already written about the dyslexic advantage previously. So its time for my workshop session the 3D’s Dating, Deception and Data-portability in the openness space. I added GDPR edition to the workshop, as I did submit it last year but did so before I actually got my GDPR data back from the dating sites. I assume the lack of clarity about having the data made it tricky for privacy & security to accept it last year?

I was looking forward to this one but on the week of Mozfest, my Dell XPS laptop woke me up in the middle of the night with a bright screen. I thought it was odd to have it on, as its usually a sleep. On closer inspection I found I couldn’t do much, so rebooted it. On the reboot I was able to login but not launch almost anything, so I rebooted again. To find I dumped into a GRUB recovery console. Its a long story what happened next but ultimately my plans to host the dating JSON files on my local machine with a nicer interface was never going to happen.

With all this in mind I changed the presentation (google slides are my friend) and scope of the workshop. Luckily I had redacted enough of the data in advance, and I kept a hold of my data instead of letting people rummage through like I had planned.

I focused the presentation into the 3 areas, dating, deception and data-portability. My slides are all online here.

DSC_0498

The people who came were quite vocal and engaged with everything. There were many questions about the dating and deception part, which made think I could have done a whole bit similar to my TEDx talk a few years ago. But I really wanted to get into the meat of the workshop, beyond requesting your data, actually getting it but now what?

This is exactly what I posed as a question to people.

DSC_0499

 

The replies were quite different from what I was thinking…

  • A group said if you could get a number of data dumps over time, you coul mine the data on your profile to look at positive & negative changes over a longer time scale. This would work great especially on the OKcupid questions, which you can change at anytime and I have.
  • Another group suggested something similar to Cambridge Analytica using OKcupid questions. I did suggest its highly likely they (Okcupid) are already doing this and its reflected in the people you are shown rather than your vote and news you see. I wasn’t making light of it, just sadly saying everything is there and yes it could be turned into a personality profile easily enough
  • There was a interesting thought to tally up messages and changes in profile data with historic weather, moon, quantified self data and other data. To see if there is a link. I think this one might include the person who asked why I redacted the star sign data?
  • The idea of creating a dating bot of yourself was quite shocking, but the thought was with enough of my chat transcripts you could easily train a bot to answer people in the future like I would. There was a discussion about ethics of doing so and what happens when a bot meets another bot pretending to be human
  • Finally group suggested visualisations to help make tangible choices and things I wrote. This was good in the face of what was missing and how to inform the dirty little tricks dating companies do for profit. Its always clear how powerful visualisation can be, you only have to look at my twitter gender data visualisation from openhumans.

Its clear the Plenty of Fish data was less interesting to people and it would be trivial to move from OKCupid to POF based on the dataset. Other way would require a lot user input.

Massive thanks to Fred Erse for keeping me on time and collecting the ideas together.

IMG_20191102_185108

So what happens next?

Jupyter notebook from openhumans demo

Well I’m keen to put either the actual data or the redacted data into openhumans and try the Jupyter notebook thing. Maybe I can achieve the final groups ideas with some fascinating visualisations.

 

You should disclose smart speakers to guests

Someone at Mydata mentioned this interview during our panel last month and finally had a read. Very happy BBC got the Google’s Rick Osterloh to say “I disclose smart speakers to guests.

After being challenged as to whether homeowners should tell guests smart devices – such as a Google Nest speaker or Amazon Echo display – are in use before they enter the building, he concludes that the answer is indeed yes.

“Gosh, I haven’t thought about this before in quite this way,” Rick Osterloh begins.

“It’s quite important for all these technologies to think about all users… we have to consider all stakeholders that might be in proximity.”

And then he commits.

“Does the owner of a home need to disclose to a guest? I would and do when someone enters into my home, and it’s probably something that the products themselves should try to indicate.”

I very much agree and I think everybody should do this. Will people do this? Not a chance, although I wish they would. I do tend to go into a room and jokily say the different wake words. Just incase…

I remember writing about my Airbnb in Barcelona experience and I have to say Airbnb’s criteria of what a camera is good.

This area of social data surveillance is tricky but something which is being researched/explored by the likes of myself at BBCR&D.

Interviewed by PyDataMcr for their podcast about data in dating

Beginning XSLT with Jeni Tennison

I had the pleasure of talking to PyData Manchester better known as PydataMCR.

They post their podcasts to Anchor.fm oddly enough but post it elsewhere too, so its take your pick. There is a RSS feed too which was tricky to find at first for us old skool podcasters.

The interview was nice but if you heard me talk about online dating data before you may have heard a lot of it before. It was noticeable how things move in the dating world, should do some more research really.

At the end there is a shout out to a woman who has been an inspiration for me. Jeni Tennison the CEO of the Open Data Insitute. I wasn’t sure if Jeni was the only woman on a wrox book cover ever. Although I did notice both genders on the C# 2005 programmers reference book and Beginning XHTML. Even saw multiple races on Professional Multicore Programming: Design and Implementation. Then I finally found Beginning Java Objects: From Concepts to Code by Jacquie Barker

So I take back, although I was never so sure..

Thanks to PydataMCR for the interview and my chaotic schedule which caused many issues. Remember to subscribe to the podcast here.

Google takeout to the rescue?

My Motiv ring on my hand

So recently I’ve gone into Quantified Self overload with my new Motiv Ring, added to my Pebble smartwatch for sleep tracking.

The ring is very good, but the app isn’t the best, its seems to work but isn’t very clear when its not syncing with the ring. Also I knew the 2 day battery was going to be a pain but to date I’ve been charging it every 2 days and never got to the point where its gotten below 44%.

As the app is pretty rubbish, I have sent everything to Google fit. I pretty much have everything synced with Google fit now.

The first time I noticed it was all working, was when I looked at sleep as android which I use with my pebble smartwatch and noticed my heart rate over the top of my sleep data.

Sleep data with heart rate
I warn you the sleep is a mess due to my flu I currently have… also why I’ve not blogged those great conferences I’ve been to recently.

Likewise I recently hooked up my Withings/Nokia iot scale to Google fit. The scale has its own app which isn’t bad but frankly its not great. It suffers from the similar problems as most of the quantified apps attached to a device or service; they want to be the centre of the world. Reminds me of my Fitbit which import everything but export little.

I understand Google fit is mining the heck out of my quantified data but with Google takeout, I can get the raw numbers in one place. Everyone wants to sync with Google fit and the dashboard view is far better than what everyone else right now.

I’ve also set it up to send me an update every 2 months. Now that’s pretty neat. Would I pay for a service to do this? Yes I would, how much is the question…

The Quantified Self archive all in one place

Get inspiration and ideas from hundreds of self-tracking projects documented in our community archive, searchable by tools and topics.

Its great to see all of the quantified self videos, presentations and show and tells in one place. Its quite an archive of media and worth browsing through. I had the joy of seeing some of these live at the Quantified Self conference’s.

Here’s some of my favourite ones.

Three Years of Logging my Inbox

Mark Wislon notices that his inbox correlates directly with his stress level. After passively tracking this for three years, he decides to actively shift how he sees his inbox account and learns how he’s controlled (and been controlled by) this stream of angst. He also discovers a very important life lesson: he’s addicted to email.

Using Relationship Data to Navigate a Chaotic Life

Fabio Ricardo dos Santos is gregarious and likes to be around people. A lot of people. But he had a nagging sense that something was out of balance. To better understand why, he began to track his relationships and interactions. He soon found that out of the people that he knows, only about 14% are what he considered to be important relationships and that they made up 34% of his interactions. He felt that this number was too low and it spurred him to spend more time with that important 14%. But he didn’t just track his time with people and the number of interactions. He expanded his system to include the quality of his relationships and interactions. He found that this made him focus on face-to-face interactions and video chats over emails and texts.

Leaning into Grief

Dana Greenfield’s mom was a surgeon, professor, researcher, entrepreneur, blogger, tennis player, and a mentor to many medical students. Unexpectedly, she passed away in February, 2014. To help her process her mother’s death, Dana began tracking every time she thought of her mother by writing down what triggered the memory, the mood it inspired, etc. Watch Dana’s talk as she shares her experiences of using self-tracking to better understand her own grief and the role her mother continues to play in her life.

What I Learned By Building

Dawn Nafus, an anthropologist, reflects on some observations of what self-trackers actually do when they make sense of data. Dawn’s observations led her to ask: what tools might support more diverse ways of working with data? This short talk describes what she’s learned while engaging and building tools for the QS community.

Tracking Punctuality

Sebastien Le Tuan is a recovering “late-oholic.” He is typically always late to friends and family events. One day he had a conversation with his dad that made him realize what effects his tardiness has on his personal and professional life. In this talk, Sebastien describes how he started tracking his punctuality and what he has learned from the process.

Sleep Patterns

Laurie Frick is a visual artist that make work, objects, and installations that relate to brain rhythm. In the video, she presents her amazing work on daily activity charts and sleep charts translated to art. She measured her nightly sleep for over 3 years using a ZEO eeg headband and has almost 1000 nights of sleep data.

Can’t You See I Was Falling In Love

Shelly Jang used GMvault to look through 5 years of Google Chat logs to hunt for signals that she loves only her husband. She looked at whom she messages, the time of a day, and the words she uses. She was able to extract meanings from innocuous metrics like “delay in response” to show whether her or her future husband were “playing games” at the beginning of the relationship. In the talk, she shares what she learned from her project.

Grandma Was A Lifelogger

When Kitty stumbled upon her grandmother’s diaries and started to explore the daily entries, she was struck by similarities with her own life and habits. Kitty is a modern-day lifelogger. She tracks places, events, mood – a variety of different personal data streams. Reading the diaries, Kitty saw that her grandmother used her daily entries as logs – tracking the details of where she went, what she ate, even the boys she kissed. In this talk, Kitty shares what she discovered, and the lessons she learned.

A Photo Every Minute: One Year Later

Rob Shields has been wearing a camera phone around his neck that takes photos every minute. He has been doing this since August of last year. In this video, one year later, he talks about what has changed, what’s new, the things that have been working, and some of the stuff that haven’t been working. He also shares some data from his experiment.

Tracking Street Harassment

Valarie moved to San Francisco when she was 29 and she was not prepared for the city life. She was really freaked out by the trash on the streets, by the way the taxi drivers drove, and how expensive everything was. But the thing that freaked her out the most was street harassment. Street harassment is any action or comment between strangers in public places that is disrespectful, unwelcome, threatening, or harassing and is motivated by gender or sexual orientation. She was surprised with how many times she was harassed while walking around. To better understand what was going on she started tracking these instance.

We Are All Going To Die: How Is Our Digital Life Preserved

Mark Krynsky started a blog about six years ago. On his blog, he wrote about live streaming and impetus and how he was trying to aggregate social data into a single timeline. The blog evolved over time, and it wasn’t just about social data–it was also about life blogging. Since then, he learned about Quantified Self and started thinking about the future of his data, what’s going to happen after he dies? In this talk, Mark discusses digital preservation and how he created an action plan for his digital data after his death.

Tracking and Improving My Sleep

Quantified Self organizer and cognitive science researcher, Daniel Gartenberg, is interested in sleep and his passion is this idea of not just tracking sleep but actually being able to improve sleep. He also makes sleep apps. He started tracking his sleep after his business partner contacted him on a recent scientific finding, where basically one could enhance deep sleep auditory stimulation that replicates the frequency of one’s own brainwaves when in deep sleep. In this talk, he shares his tips on tracking and improving his sleep.

Owning My Quantified Self Data

After years of collecting Quantified Self data, Aaron Parecki began moving more of his data onto his personal website rather than letting it sit in someone else’s cloud. This insures that his data will stick around even after apps and devices go away.

Is everything public on social media fair game?

https://www.flickr.com/photos/xdxd_vs_xdxd/6829374609/

Of course I would say not exactly, especially in the face of the  IBM’s Diversity in Faces project which I wrote about here and got a initial reply here. But its a interesting question which prompts the post, scientists like me are studying your tweets are you ok with that?

“Public” is the magic word when it comes to research ethics. “But the data is already public.” That was the response from Harvard researchers in 2008, when they released a data set of college students’ Facebook profiles, and from Danish researchers in 2016, when they released a data set scraped from OKCupid. The regulatory bodies that oversee research ethics (like institutional review boards at U.S. universities) usually don’t consider “public” data to be under their purview. Many researchers see these review boards as the arbiters of what’s ethical; if it’s not something that the boards care about, then it can’t be unethical, right?

Whether the data is public or not is important for ethical decision-making — in fact, it’s necessary.

There is a old-school hacker thing, that anything public is public and if you don’t want it public don’t put it online. But to be fair that idealistic view before the likes of cloud services broke the notion badly.

However there is a question for research which upholds its self above the likes of commercial companies.  I know being in the research field myself, research and the ethics boards are really strict with this all. To be fair I’m glad of this because I’ve seen too many bad uses of public data including semi-public (dating site data for example) and heck private data!

As researchers, we have a responsibility to acknowledge that factors like the type of data, the creator of that data, and our intended use for the data are important when it comes to using public information. These factors must inform the decisions we make about whether and how to collect data and to report findings. I hope the work that my collaborators and I are doing will help to inform best practices, so that, in the end, we can continue to contribute great science to the world while also respecting the people who share their data with us every day.

Absolutely!

Now can some tell IBM this too?