Open Data Hackathon Final Presentations

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From September 28th to 29th 24-hour hackathon Open Data Hackathon 2018 was held in the Latvian State Radio and Television Center tower. 75 participants divided into 11 teams were working on innovative ideas based in the use of open data from four sectors: transport, culture, regional development and tourism. At the event organized by the Investment and Development Agency of Latvia (LIAA) and the Latvian Open Technologies Association (LATA), the main prize of 1000 euros from Tieto Latvia was won by the CareQueue team. Their application will help quickly distribute kindergarten spaces in Riga, help users process application documents and provide information about private kindergartens, as well as show availability of nannies near family homes or workplaces.

Team final presentations

“Interbus” – shows what are the main objects available to visit when you are passing it buy. Multiple bus changes can be added, so you don’t have to rethink the route. It’s helpful also to use a public bus in a more convenient way + informs about local things and events. They will use screens in the public transport recommending where to go. Data used – Rigas satiksme. How do you integrated info about events? – Facebook API.

“Plyazh Voyage” – target people, who like activities near or in the water (lakes, rivers). Their issue is unpredictable weather and lack of choice what to do then. Main users – parents with children. Datasets used – Copernicus (water temperature), municipality data (for accessibility), weather forecast data, open street. Businesses would pay for having ads of their location there.

“Data4Mobility” – every year 0.5 million are spent on transport. A lot of public transport routes are used inefficiently. For their solution they used data from Riga public transport network. That let them visualize from where and to where people are going at any time at the day in Riga. “We can say which bus stops are utilized and which – underutilized.” The tool can be used by Riga traffic, Rīgas pašvaldība, citizens and NGO’s. Benefit is reduction in emissions, better routes, real time answers for “where is my bus?”

“Comeback” – used geospatial data to solves problems of people who live abroad and want to come back. Their issue is the lack of quality data. We provide a web page where you can select where do you want to live. Criteria – the cost of housing, infrastructure, social service accessibility. (Change the level of priority and you get 3 cities that could be appropriate for you. Afterwards by clicking on the suggested city, you get insight about education and public services).

“WiseMap” is a solution for people looking where to rent or buy property. They are selling leads to banks. If a person is looking for where to live, the bank can show their advertisement there. What characterizes the environment – schools and crime are the criteria.

“” – there are not enough of bicycle parking, there is an increase of 40% of bicycle drivers but not a 40% increase in bicycle infrastructure. Used public municipality data and other to show available parking spots and the ones people have requested in local NGO ’s. Have already an android app. People can vote about a spot recommended for bicycle parking or suggest a new one. In real time you get a notification about voting. They have developed an android app already. Will get velocity by public funding from companies. A company can claim the spot and pay for installation. A single arc installation costs 60 euro + overhead (dealing with municipalities and profit will be all together) makes it all together 120 euros. This solution can be applicable later on to other cities.

“Tour it“ shows nearby points of interest. Situation (A) businessman can download the app by QR code and from walking around he gets a notification about a museum by, then he walks more and get a notification, that monument of freedom is near. Maps show the route + when he arrives, he gets more info about that place. Situation (B) – student Liene is traveling, but she doesn’t trust Tripadvisor cause it shows too busy tourist places, she gets the app and after a couple of hours of exploring, the app suggests a family owned bakery nearby… Common thing in both situations – they want to explore on their own and get to know unique objects nearby. Last year 2.5 million people visited Riga, which is an 11% increase from the previous year, so there is a large number of potential users. Business can pay to appear on these services. All the objects are in different sections, if the person skips museums a couple of times, the app will start showing it less and if the museum is closed it will not even show that the museum is there. Scale – after Riga could start working with Tallin. Login is with email or social media account and later get a newsletter about the places. Open data: (cultural maps) – info about museums and other cultural sites) + added pics + open maps were implemented for people to use for moving. Business model – once there is enough of users, they will show it to businesses and then the businesses will appear in specific cases, only preferences will be shown to people. The app learns from user behavior. We are different then TripAdvisor and FourSquare – it’s simple, you don’t have to point out preferences, age etc. Unique places are found by speaking with people, companies.
“Crime Finders” – the solution will help the government to protect people and keep them out of troubles. If there is too many people let’s say in the forest, then you’re going to see that in the app. They used datasets given by LMT for the better operation they will try to integrate it with Facebook and Twitter to understand is there a festival happening or something suspicious.
“CareQueue” – demystifying day care service in Riga. Web page shows the kids’ queue number. Shows also a map around the area you live of the kindergartens around and the length of ques (best possibility for a shorter queue is green). Also helps with signing kids up in the queue and declaring him in the right spot (bureaucracy thing). There are at least 20k parents yearly interested in toddler and children care. Municipalities are target audience. Data about the preschool day care center and nanny. Private kindergarten costs apx. 5k per year. Steven Adler points out that the same problem is in Denmark, Norway, and Sweden and the application later could be applied there too.
“Pension challenger” – 40% of Latvian working population has less than 1k saved in their pension fund, that means they will live in poverty in old age. The web page is showing how much in current age and at the current job person will have in pension period at the given time (amount in total you’ll have to survive with when you retire). Data used is from Using this solution will motivate people to think more about how much they should earn or spend less to live better in old age. Once you subscribe with the portal, it works as a challenging game and tells you how to save and info about banks that could help you save more so to have a decent pension. Recommendations will encourage to get rid of bad habits (drinking coffee and eating too often outside). how to encourage ppl to start using people – could start with a selected group of people to accept a challenging game and then the word would spread. We see that there is also an international potential as the problem “not saving” is global, it’s a habit changing thing.

“DoGuide” tourist guiding app. Problem – not enough of guides in Riga city – guides and local citizens could fill this spot. 3 ways on contributing / using the app – you pick up info about the object, pics, photos, text in various languages, 2nd – being a guide, 3rd – give personal advice by voice, Tripadvisor gives just popular spots and short info, you can add boutique places and messages about the venues/spots. Data used – wiki data, have all museums from Latvia added, google cloud API gives a short voice description about the spot. data used – DataGov, Google Maps … Languages available – English, Chinese, Lithuanian, Latvian, Ukrainian. Uniqueness is that they used voice to visualize the spot. They have an application too.


The hackathon was organised by the Investment and Development Agency of Latvia in cooperation with the Latvian Open Technologies Association. Event partners: the Ministry of Environmental Protection and Regional Development of the Republic of Latvia and the Data School. Event supporters: Tieto Latvia, the Latvian State Radio and Television Center, eazyBI, Oracle Latvia, LMT, Zatoshi, Jelgava City Council, Passenger Train, Diena newspaper, Fazer Latvia, Coca-cola HBC, Taxify, Daile theatre, M. Pūre bakery/restaurant, Aldaris, Radio Naba, HERE and the National Library of Latvia.
Funding was provided by the EU ERDF “Innovation Motivation Programme”.

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