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Garage48 Baltic Open & Big Data 2017 hackathon
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# 19- 21 May 2017 Garage48 Baltic Open & Big Data 2017 hackathon
General info http://garage48.org/events/balticopenbigdata2017
Facebook event https://www.facebook.com/events/1262596010513877/
## eGovernance Open Data Track
Creative Entrepeneurship Academy is proud to present Open Government Data track: bringing in data geeks from the community and public sector enthusiasts who have a common goal of innovating governance and public services. Smart city tagword means better access to decisions, planning process, mobility, and other smarter solutions, co-created with local community. Tallinn, Tartu, Helsinki - pick the city, use the data and get creative! Track is organized in co-operation with Open Knowledge Estonia, Loov Eesti, Norden and E-governance Academy, within Creative Entrepeneurship Academy program.
Prizes for the winners of this track
- the winner of this track get's to present their idea on Latitude59 Early Stage Investor Pitch Competition
- Both the first and the second place teams get a chance to compete among other finalists on the final of CBC eChallange competition (fall 2017)
http://www.looveesti.ee/loov-eesti/koostooprojektid/creative-entrepreneurship-academy-egovernance-challenge/
- All the teams participating on Garage48 Open Data & Big Data 2017 are also invited to CEA's Bootcamp happening on 22/04/17 in Tallinn, Estonia http://cea.ee/program/day-4
## Challenge: improve urban mobility!
https://github.com/okestonia/opendata-issue-tracker/issues/72
**We are waiting: city activists, mobility experts interested in improving urban space, infrastructure geeks, archidects designing common space!**
This challenge is focusing on using data to create effective and sustainable mobility models. How to make smooth trips and interchanges for commuting between urban and suburban areas? What innovations are most needed to provide cost-effective, need-based and sustainable modes of transport? How can we provide more accessible public transport for people with special needs? What kind of innovative and sustainable transport solutions could be offered to statisfy the mobility demand of people living in suburban and rural areas?
Challenge is supported by Ministry of Economic Affairs and Communications and Tallinn Region Sustainable Urban Mobility strategic planning process.
## Challenge: Make personal data handling more understandable!
https://github.com/okestonia/opendata-issue-tracker/issues/73
keywords: personal data, awareness, knowledge, easily understandable infrastructure, regular people, transparency
Did you again agree to the terms & conditions without reading? Do you feel like somebody else is benefitting from your data? This challenge focuses on making personal data usage more transparent and understandable to average person. Let’s help end-users understand better, how their personal data is used! Let’s make it possible to give a more informed consent to the nice services we’re using! Let’s help service providers establish a more trusted relationship with the users with transparent data usage applications!
Award: 3-day passes for the MyData2017 conference for the full winning team
Challenge is supported by MyData2017 conference team & partners
## Challenge: Estonian Data Protection Inspectorate - How to ensure that privacy is protected?
https://github.com/okestonia/opendata-issue-tracker/issues/74
All Estonian government agencies must publish their document registries and they usually do. Occasionally, however, the published documents and metadata by mistake contain sensitive personal information that should not be published. This is a major obstacle in making document registries machine readable en masse. The challenge, should you accept it, is to figure out ways to trawl common document registry solutions deployed in Estonian public institutions detecting possible privacy violations. Good luck!
## Challenge: Tele2 invites you to try your hand at Location-Based Analysis!
https://github.com/okestonia/opendata-issue-tracker/issues/78
Tele2 will supply hackathon participants with anonymized VLR (Visitor Location Register) data. This data describes cell switches within a 12-month period in Tele2’s 2G and 3G network – when a device connects to a Tele2 network station. By combining this data with a map of the locations of Tele2 stations, it is possible to put together approximate location-based analysis (LBA).
The data provided is obscured to protect the privacy of our customers, yet this is an exclusive chance to use a mobile operator’s data to build services on location-based data. Maybe you’d like to build an app that suggests kindergartens or schools to parents with a specific route, so they can save time on commuting? Or try your hand at traffic analysis to optimize road planning? Combining the VLR data with other data available at the event and open data available online is bound to yield interesting results.
The amount of data is large and will be accessible to participants through a Hadoop framework. More details will be revealed prior to the event.
## Challenge: data-driven solutions using the vast amounts of media industry data
https://github.com/okestonia/opendata-issue-tracker/issues/79
Ekspress Media is the leading media group, whose activities include online media content production and publishing newspapers and magazines. This means collecting vast amounts of data. For the hackathon you can access all their published articles + you can analyse, systemise, categorise this data with the http://www.texta.ee/ tool.
Data-driven solutions, telling stories with data, dealing with messy data, engaging audiences - the challenge is what you create it to be.
Ekspress Media will give out a special prize and follow-up support to the solution they pick to be the best.
## Challenge: Value added solutions for merchants or payment card users
https://github.com/okestonia/opendata-issue-tracker/issues/80
SEB makes available representative dataset of card payment transactions with merchant category and approximate location information. Such data give insights for example to customer payment behavior as well as merchant category business volumes in the region. For privacy reasoning the customer as well as merchant information is anonymized.
We invite to propose value added solutions to merchants and/or to card users.
## Challenge: Credit Info
https://github.com/okestonia/opendata-issue-tracker/issues/81
Creditinfo Estonia is leading service provider for credit information and risk management solutions in Estonia. Our aim is to decrease financial risks of companies and private persons. Creditinfo Eesti is giving UNIQUE perspective to use for FREE exclusively 10 000 companies’ open data:
Company number
Registry code
Acitivites based on EMTAK
Address
Members of Board
Owners
Subsidiaries
Net sales based on EMTAK
Profit/loss
Assets
Equity
Number of Employees based on quater
Paymnet defaults
Tax debts
We are giving you FREE hands for creating soultion or service to make consumer’s life easier. The IDEAL solution includes visualization, data analytics or any simplistic service activity. Also the solution/service should be linked with Creditinfo’s open data.
The criterias of selecting the winner: who’s solution is helping to save consumer’s time and money mostly. The best team wins 1000€ and beer! So bring on your crazy ideas and just create it.