Category: data logs

Data collected from the mobile devices: Phone and iPad Usage

• All day: Received emails from MIT, friends and online shopping website
• All day: Chatted with friends and families through Wechat
• 12:10 PM: Scheduled a meeting reservation and added it to my calendar
• 12:30-12:45 PM: Watched a short video on Youtube App
• 1:00 – 4:30 PM: Took pictures of slides during lectures
• 5:00 PM: Reviewed my Credit Card usage on Chase App
• 5:13 PM: Made a phone call to the PCP
• 5:22 PM: Updated my iPhone system
• 5:31 PM: Updated the Apps on my iPhone

Data collected from computer

• All day: Received emails from MIT, friends and online shopping website
• All day: Searched on Google, including news, weather, and python guidance
• All day: Watched videos on Youtube
• 7:55 AM: Made changes to the meeting slides and uploaded to Dropbox folder
• 8:00 AM: Started the Webex meeting through my computer
• 9:35 AM: Downloaded the Atom software for class
• 9:50 AM: Cloned the class material from Github
• 10:43 AM: Connected to lab server and downloaded the test results
• 1:00 – 4:30 PM: Used Evernote to take notes during lectures
• 5:34 PM: Browsing on Everlane.com
• 6:18 PM: Searched for a flight ticket
• 7:00 PM: Wrote thesis on Overleaf
• 8:47 PM: Installed python packages using pip install
• 11:36 PM: Wrote the blog

Data collected from provider:

• 11:15 AM: Paid for my lunch using the credit card
• All day: Electricity usage of my apartment
• All day: Geospatial data collected from FMS (MIT Mobility Survey App)
• 8:15 PM: Pharos MIT Printer

I wrote this in diary style because I found that the most amusing. I would also post the picture that was taken, but privacy request. Sorry!

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10:00 AM I check the weather app in NYC using the wifi in my boyfriend’s apartment. I’m sure somewhere the internet provider can identify my device

10:20 AM I check Google Maps where the restaurant is. I might have freaked out for a solid minute when Google Maps says it’s closed, but then calm down when the website says it’s open. Google Maps obviously has my GPS coordinates.

10:21 AM Facebook Messenger notes that I’m active as I relay to my cousin. He then promptly freaks out because he made the reservation for the wrong day.

10:35 AM The restaurant sends me a text to say I’m confirmed on their waitlist. There’s data from texts, right?

10:40 AM I use the Yelp app, which takes my GPS coordinates, and put myself down on a restaurant’s waitlist. Five minutes later, take myself off.

11:40 AM Finish brunch at Empanada Mama. I use my credit card to pay for my part of brunch. Discover notes that I’m now in NYC, which is not far away enough from Boston to consider fishy.

12:15 PM Leave my phone in the coat room of a museum. There goes 30 unread emails, and maybe a text from my mom wondering why I haven’t been active on Messenger for three hours.

12:20 PM The museum is spy-themed, and gives us wristsbands that signify our admission. The lady checks that I bought our tickets online (which were only $1 for processing fee, free for students!!)

12:40 PM For some reason, when doing the activities that need to be activated by the wristband, the kiosks greet my cousin and I with just a “Hello” while they greet my boyfriend with his name. Hmmm. They keep track of our progress while we go through activities to build our “spy profile”.

12:45 PM We do the surveillance activity, which has a lot of CCTV footage of the museum. I don’t know if they’re recorded?

12:55 PM We get our results. Apparently I’m most suited to be an Intelligence Analyst. The display says they would email me, but I’m not sure it’s working.

3:50 PM I hit my 30 minutes of exercise. Apparently 180 more calories to go and 8 more times to stand. Thanks Apple Watch!

7:00 PM My cousin takes a selfie with us and sends it. Facebook now has a picture of us.

7:30 PM We’re at UCB theater and get our electronic tickets scanned.

9:00 PM Transportation is hard. While the ticket machines don’t work so we can’t get on the bus, I’m reluctant to use ride-sharing apps, though I did open it, so Lyft figured out where I was. End up walking and using the subway again. MTA makes me really thankful for MBTA’s Charlie Card.

10:00 PM Buy tickets for spring break, finally! Also reply to airbnb messages (yay I got the booking!) and link my airline rewards to hotel rewards. Somewhere, data is recorded that I’m traveling and trying to be money savy.

11:00 PM Attempt to watch xfinity and it tells me I’m not on campus. I’m sad.

Direct interaction with phone/computer

• Called my father to wish him a happy birthday
• Web history of Google/Youtube searches, browsing the news, meandering through social media feed(page requests)
• Analyzed data and aggregated results for research tables
• Received emails and responded to one about an event
• Saved the event into my calendar application
• Wrote texts to friends to decide stay in touch across time zones, make plans to meet, and talk about how good Black Panther is
• Paid for goods (Black Panther tickets via Venmo) and services (Lyft ride) using my phone
• Point-to-point travel data recorded while taking Lyft that I requested
• Pushed completed problem set to Github
• Watched a couple episodes of tv on Hulu

Data collected through someone else’s device

• Single-point travel data recorded when I got on the bus
• Scanned paper ticket into women’s hockey game
• Watched the Olympics on TV at a friend’s party
• Purchased food at Clover using my debit card
• Utilization of heat, water, gas captured in my apartment

Data created in the real world

• Wrote out a to-do list for the rest of the weekend
• Left footprints in the snow
• Conversed and told jokes at the party; left a first impression on a few new friends and likely reinforced what old friends already know about me

Data collected from traveling:

• Samsung Fitness
• Tapping into dorms and buildings (in the evening)
• Swiping into dining hall
• Spotify song selections
• Purchases from Flour & Abide, powered by Square
• Uber

Data collected from phone usage:

• Social media: Facebook, Instagram, Pinterest, Snapchat, WhatsApp
• News: Bloomberg, Yahoo! Finance, NYTimes
• Gmail & Google Drive
• Shopping: Amazon, Nordstrom
• Phone call & data usage
• Entertainment: Netflix, Kindle app

Data collected while at home:

• Amazon Alexa: setting reminders, song requests, weather
• Electricity & water usage
• xFinity internet usage
• Web browsing
• Computer crashing

8:00am

Alexa alarm clock goes off, I deactivate it with my voice

I check my phone of my emails, moving some to the trash, flagging the important ones

9:00am

I go downstairs to the dining hall for breakfast swiping my MIT ID

In the cafeteria line, I check instagram and snapchat

Read news on the bloomberg app

12:30pm

Buy lunch at Clover

Check my coinbase account and sell some of my bitcoin

3:30pm

Buy a coffee at Starbucks

Send some funny gifs to my friends through facebook messenger

4:30pm

Answer questions on the MITx platform

Series of google searches on linear algebra topics

Write some emails

6:30pm

Go to dinner at McCormick Dining hall

7:30pm

Read a couple articles on Medium.com

Check facebook

Download next week’s psets off Stellar

8:30pm

Watch the olympics on xfinity.com

Ask Alexa about tomorrow’s weather and set an alarm to wake up tomorrow