The initiative
To empower individuals to directly manage and
- if they wish - to monetise their personal data.
- if they wish - to monetise their personal data.
Devices & apps are designed to capture and collect as much personal information as possible and we are all used to accept/consent without knowing what data is collected, what it is used for, whether it is sold to third parties or not, etc.
The aim of the Personal Data Hackathon is to pave the way for individuals to control, manage and -if they wish- directly monetise their personal data.
To do so, we have to solve three problems:
The aim of the Personal Data Hackathon is to pave the way for individuals to control, manage and -if they wish- directly monetise their personal data.
To do so, we have to solve three problems:
- To access our own personal data that is stored or managed in our Devices & apps.
- To share only the data we want to share with whom we want to share.
- To set the conditions under which the data will be shared (purpose, for how long, etc).
1.- Personal Data Hackathon Devs Edition
Bases: Oct 1st 2021
Final: Nov. 26th-28th 2021
2.- Personal Data Hackathon Vendor Edition
Bases: April 2nd 2022
Final: May 26th-28th 2022
3.- Personal Data Hackathon DPOs Edition
Bases: June 19th 2022
Final: September. 22th-24th 2022
Bases: Oct 1st 2021
Final: Nov. 26th-28th 2021
2.- Personal Data Hackathon Vendor Edition
Bases: April 2nd 2022
Final: May 26th-28th 2022
3.- Personal Data Hackathon DPOs Edition
Bases: June 19th 2022
Final: September. 22th-24th 2022
The Stages
Within the scope of this initiative the necessary steps are:
a) To enable individuals an easy & clear access to their own personal data in their devices, and a streamlined process to structure these, so as to make it easy to decide what to safeguard and what to share.
b) To shape and package personal data ready to be shared with vendors delivering a reliable, consistent set of zero party data.
c) To define the contract for data sharing so as to maximize the protection of the individual rights and simultaneously enable a streamlined data transaction process.
a) To enable individuals an easy & clear access to their own personal data in their devices, and a streamlined process to structure these, so as to make it easy to decide what to safeguard and what to share.
b) To shape and package personal data ready to be shared with vendors delivering a reliable, consistent set of zero party data.
c) To define the contract for data sharing so as to maximize the protection of the individual rights and simultaneously enable a streamlined data transaction process.
Personal Data Hackathon is intended to be structured in 3 different and successive events:
1.- Personal Data Hackathon Devs Edition for Software Developers
Its goal is to create app to enable individuals to locate and structure their personal data on their devices and to streamline their management.
2.- Personal Data Hackathon Vendors Edition for Marketeers & Advertisers
Based on the solution of the first event, to prompt vendors to shape the kind of data they really want from their customers and streamline the data exchange process
3.- Personal Data Hackathon DPOs Edition for Data Protection Experts
Based on the conclusions of the previous two events, to , to streamline the cession of data agreements under the GDPR frame, to maximize the protection of individuals and simultaneously enhance and protect the benefits that such data collection provides to companies.
1.- Personal Data Hackathon Devs Edition for Software Developers
Its goal is to create app to enable individuals to locate and structure their personal data on their devices and to streamline their management.
2.- Personal Data Hackathon Vendors Edition for Marketeers & Advertisers
Based on the solution of the first event, to prompt vendors to shape the kind of data they really want from their customers and streamline the data exchange process
3.- Personal Data Hackathon DPOs Edition for Data Protection Experts
Based on the conclusions of the previous two events, to , to streamline the cession of data agreements under the GDPR frame, to maximize the protection of individuals and simultaneously enhance and protect the benefits that such data collection provides to companies.
Sponsored by:
1st Personal Data Hackathon Devs Edition for Software Developers
The objective is to develop an app to enable individuals to streamline the management of their personal data on their devices
1.- Personal Data Hackathon Devs Edition for Software Developers
Objective
Its goal is to create an app to enable individuals to locate and organise their personal data on their devices and to streamline their management.
Specifically, the app will be based on existing or newly developed data probes that make the data stored in the device available to its user and ready to be structured according to established patterns, so that a clear categorisation can be made for the user to decide what data to share with whom.
Technology
To this end, the Personal Data Hackathon aims to directly develop open source apps and revamp the existing set of apps & probes developed within the framework of Funf Open Sensing.
The Funf Open Sensing Framework is an extensible sensing and data processing framework for mobile devices, originally developed at the MIT Media Lab as part of the "Investigating and shaping social mechanisms in the real world study"1. Its core concept is to provide a set of reusable, open source functionalities that enable the collection, uploading, and configuration of a wide range of data types and signals accessible via mobile phones. A full description of the project can be found in funf.org as well as at https://github.com/funf-org.
More than 30 data probes have been developed including: GPS, Location, WLAN, Accelerometer, Bluetooth, Cell tower ID, Call log, SMS log, Browser history, Contacts, Running apps, Installed apps, Screen on/off status, Battery status, etc. The probes were bundled into the "Funf-in-a-Box" project, an app generator tool for creating mobile sensing android apps.
http://inabox.funf.org/. Finally, the project included data analysis and visualisation scripts that provided heat maps of usage, date and time.
The Funf project became part of behavio, (http://www.behav.io/), eventually entering Google's orbit.
The project was initially intended as a tool to investigate the interactions between technology and social mechanisms. However, privacy concerns and the fact that it would enable any third party to capture and process personal data resulted in the project being discontinued.
Open Source Funf.org is still available and Funf 0.4. was last updated in 2016.
As stated, the objective of the Personal Data Hackathon is to empower individuals to directly manage and monetise their personal data.
The aim is therefore to generate an app based on existing data probes (developed under Funf.org or otherwise) that makes the data stored in the device available to its user and ready to be structured according to established patterns, so that a clear categorisation can be made for the user to decide what data to share with whom.
Eligibility
Requirements
For a successful submission, you will file at least two of the following:
If you decide to submit a slide deck or a video for your solution, this can be uploaded to any Google Drive or Dropbox (with a publicly accessible link).
Make sure you include the following information in your deck:
You need to submit your solution as a public Git repository. It could be hosted on any platform like Github, Bitbucket, Gitlab, etc, and must be publicly accessible.
* The name "git" was given by Linus Torvalds when he wrote the very first version. He described the tool as "the stupid content tracker" and the name as (depending on your mood):
1 Nadav Aharony, Wei Pan, Cory Ip, Inas Khayal, Alex Pentland, Social fMRI: Investigating and shaping social mechanisms in the real world, Pervasive and Mobile Computing, 2011, ISSN 1574-1192, 10.1016/j.pmcj.2011.09.004.
Download Printable Version
Objective
Its goal is to create an app to enable individuals to locate and organise their personal data on their devices and to streamline their management.
Specifically, the app will be based on existing or newly developed data probes that make the data stored in the device available to its user and ready to be structured according to established patterns, so that a clear categorisation can be made for the user to decide what data to share with whom.
Technology
To this end, the Personal Data Hackathon aims to directly develop open source apps and revamp the existing set of apps & probes developed within the framework of Funf Open Sensing.
The Funf Open Sensing Framework is an extensible sensing and data processing framework for mobile devices, originally developed at the MIT Media Lab as part of the "Investigating and shaping social mechanisms in the real world study"1. Its core concept is to provide a set of reusable, open source functionalities that enable the collection, uploading, and configuration of a wide range of data types and signals accessible via mobile phones. A full description of the project can be found in funf.org as well as at https://github.com/funf-org.
More than 30 data probes have been developed including: GPS, Location, WLAN, Accelerometer, Bluetooth, Cell tower ID, Call log, SMS log, Browser history, Contacts, Running apps, Installed apps, Screen on/off status, Battery status, etc. The probes were bundled into the "Funf-in-a-Box" project, an app generator tool for creating mobile sensing android apps.
http://inabox.funf.org/. Finally, the project included data analysis and visualisation scripts that provided heat maps of usage, date and time.
The Funf project became part of behavio, (http://www.behav.io/), eventually entering Google's orbit.
The project was initially intended as a tool to investigate the interactions between technology and social mechanisms. However, privacy concerns and the fact that it would enable any third party to capture and process personal data resulted in the project being discontinued.
Open Source Funf.org is still available and Funf 0.4. was last updated in 2016.
As stated, the objective of the Personal Data Hackathon is to empower individuals to directly manage and monetise their personal data.
The aim is therefore to generate an app based on existing data probes (developed under Funf.org or otherwise) that makes the data stored in the device available to its user and ready to be structured according to established patterns, so that a clear categorisation can be made for the user to decide what data to share with whom.
Eligibility
- Individuals or teams of 2-5-people.
- You must be at least 18 years old or at age of majority according to the legislation of the place where you reside. More detailed information is available in the rules of the hackathon. (See https://personaldatahackathon.com/Bases-DevsEd.htm )
- You don't work for a provider or directly provide services for this hackathon.
Requirements
For a successful submission, you will file at least two of the following:
- A Slide Deck
- A Git Repository
- A Video explaining the prototype (3-5 min.)
If you decide to submit a slide deck or a video for your solution, this can be uploaded to any Google Drive or Dropbox (with a publicly accessible link).
Make sure you include the following information in your deck:
- Introduction: An introduction of your team or company.
- Probe or component addressed: What are the probes you have put in place and how you structure the resulting data.
- Solution: Articulate the idea and your strategy for structuring the data obtained.
- Technology: What makes your prototype special? What technologies will you utilize and why?
- Scaling: How can your solution scale to integrate with other personal data obtained with other probes?
You need to submit your solution as a public Git repository. It could be hosted on any platform like Github, Bitbucket, Gitlab, etc, and must be publicly accessible.
* The name "git" was given by Linus Torvalds when he wrote the very first version. He described the tool as "the stupid content tracker" and the name as (depending on your mood):
- random three-letter combination that is pronounceable, and not actually used by any common UNIX command. The fact that it is a mispronunciation of "get" may or may not be relevant.
- stupid. contemptible and despicable. simple. Take your pick from the dictionary of slang.
- "global information tracker": you're in a good mood, and it actually works for you. Angels sing, and a light suddenly fills the room.
1 Nadav Aharony, Wei Pan, Cory Ip, Inas Khayal, Alex Pentland, Social fMRI: Investigating and shaping social mechanisms in the real world, Pervasive and Mobile Computing, 2011, ISSN 1574-1192, 10.1016/j.pmcj.2011.09.004.
Download Printable Version
1.- Personal Data Hackathon Devs Edition
Bases: Oct 1st 2021
Final: Nov. 26th-28th 2021
2.- Personal Data Hackathon Vendor Edition
Bases: April 2nd 2022
Final: May 26th-28th 2022
3.- Personal Data Hackathon DPOs Edition
Bases: June 19th 2022
Final: Sept. 22th-24th 2022
Sponsored by:
Bases: Oct 1st 2021
Final: Nov. 26th-28th 2021
2.- Personal Data Hackathon Vendor Edition
Bases: April 2nd 2022
Final: May 26th-28th 2022
3.- Personal Data Hackathon DPOs Edition
Bases: June 19th 2022
Final: Sept. 22th-24th 2022
Sponsored by:
Personal Data Hackathon Devs Edition for Software Developers
Bases: Oct 1st 2021
Final: Nov. 26th-28th 2021
Final: Nov. 26th-28th 2021
USEFUL TOOLS FOR THE HACKATHON
Prototyping and Mock tools:
Mockflow – Create Mockups, wireframes and useful for brainstorming
Moqups - Helps you create and collaborate in real-time on wireframes, mockups, diagrams, and prototypes.
Project Management tools:
Trello – Simple project management application
Planio - Manage agile projects online with Scrum
Design resources:
Freepik - Find Free Vectors, Stock Photos, PSD, and Icons
Graphicburger – Design resources
Development resources:
Heroku - A flexible, easy-to-use platform to deploy, run, and manage your apps.
HTML5Up - provides nice code skeletons ready for a team to start working on.
Firebase - Hassle-free backend and elastic database tool.
Replit – Collabotarive browser IDE
Kodika.io - Build IOS Apps with drag and drop (no coding skills needed)
Sentry - Application monitoring platform helps every developer diagnose, fix, and optimize the performance of their code.
USEFUL TOOLS FOR THE PROJECT PRESENTATIONS
Presentation tools:
Canva – Useful to design presentations
Prezi – Create Presentations and videos
Hackathon pitch tips:
Hack4Equality: Tips for your hackathon pitch: https://www.youtube.com/watch?v=a8JVKZidmv8
How to win a Hackathon: https://www.youtube.com/watch?v=-NuiahT-ZoE
How to pitch and win a hackathon? https://www.youtube.com/watch?v=zztxEdE2MvI
Sponsored by:
NEWS
News 13
The battle of data
Electronic Frontier Foundation issued an article “Why Getting Paid for Your Data Is a Bad Deal”, and they fear that the “battle of data is lost”
In it they point out this issues
a) Once a company gets our data, there is no control on them.
b) We'd be selling our private life for scraps (For scraps?? Definitively not in US or EU... See a good estimate of the value of our data at our previous entry "Useless, Worthless or Priceless?")
c) The value of data only has sense through aggregation. That is why platforms lead the market, as they are the only ones that can access the amount of data.
d) Pay-for-privacy and data dividends are two sides of the same coin. “Once you recognise that data have some set monetary value…. an exchange of data that would endanger people and commodify privacy”.
Electronic Frontier Foundation issued an article “Why Getting Paid for Your Data Is a Bad Deal”, and they fear that the “battle of data is lost”
In it they point out this issues
a) Once a company gets our data, there is no control on them.
b) We'd be selling our private life for scraps (For scraps?? Definitively not in US or EU... See a good estimate of the value of our data at our previous entry "Useless, Worthless or Priceless?")
c) The value of data only has sense through aggregation. That is why platforms lead the market, as they are the only ones that can access the amount of data.
d) Pay-for-privacy and data dividends are two sides of the same coin. “Once you recognise that data have some set monetary value…. an exchange of data that would endanger people and commodify privacy”.
News 12
Data Never Sleeps 8.0
The new 2020 8th edition of “Data Never Sleeps” by DOMO summarizes the size, activities, trends and evolution of activities and business in internet.
It is astounding how an infographic can show so much information on users, engagement, channels, companies, media, software & apps, goods & services, market segments, etc. and how meaningful each of its components is when compared and framed with the rest.
The new 2020 8th edition of “Data Never Sleeps” by DOMO summarizes the size, activities, trends and evolution of activities and business in internet.
It is astounding how an infographic can show so much information on users, engagement, channels, companies, media, software & apps, goods & services, market segments, etc. and how meaningful each of its components is when compared and framed with the rest.
News 11
Does Data Fragmentation chain us to the Tech Giants?
The legal debate is stuck in the question to whom the ownership right on data should be given (see previous entry).
Meanwhile, economics sees Data just as something that can be traded to produce benefits.
“it does not matter which party receives the initial allocation of property rights. The rights will end up in the hands of the party that attaches the highest value to these resources, provided that transaction costs remain relatively low compared to the value of the right”. (Coarse, 1960)
The legal debate is stuck in the question to whom the ownership right on data should be given (see previous entry).
Meanwhile, economics sees Data just as something that can be traded to produce benefits.
“it does not matter which party receives the initial allocation of property rights. The rights will end up in the hands of the party that attaches the highest value to these resources, provided that transaction costs remain relatively low compared to the value of the right”. (Coarse, 1960)
- 01
What do you know about your personal data and their value?
How much are your data worth??
How much are your data worth??
- 02
Do you think they are too worthless to be bothered with? Or do you think it is a fair deal that you get some "free" services in exchange for your data?
CONTACT
Do you want to know more?
send
or alternatively, send us a mail:
enquiries@personaldatahackathon.com
©2021 - Personal Data Hackathon
