What a better place for a sustainability themed hackathon than Otaniemi Green Campus!
WHEN: Weekend 24th & 25th May.
WHERE: Open Innovation House OIH, 2nd floor, EIT ICT Labs co-location centre. Otaniementie 19-21, 02150 Espoo, Finland.
WHY: Join us if you are AWARE of the sustainability issues the world is facing today and if you are of the ones who also ACT.
WHO: We welcome teams of 3 or 4 members. You can register with desired team members, or alone; in this case the organizers will help to assemble diverse teams.
The EU Commissioner for the Environment, Janez Potočnik says: “Let’s imitate the nature!”, and we add to it: “Let’s hack together for a more sustainable future!”
BEST HACK
Team members:
SECOND BEST HACK
Team members:
BEST BUSINESS THEME HACK
Team members:
ALL SOLUTIONS
Team ENDEAVOR developed a concept for visualization of the energy, weather and other data, that will raise motivation of the users, and, in turn, increase participation when it comes to sustainability topics. They suggest using pledges, and points. Slides.
Team members:
Team GREEN developed Yenergy concept for a map that shows efficiency rate of each building for anyone. People would use the map when buying an apartment, searching for job, or in tourism. It would be a combination of Google maps, eat.fi, Booking.com, with a possible target group coming from, for instance, Airbnb. Besides coloring the buildings according to the rating, this map gives more information when a user hovers with the mouse over it, and on click it also opens pop up with additional detailed information: air quality (in this case, using 720 data), lights, year of construction, CO2 storage etc. Report. Slides. GitHub.
Team members:
Team HIGH5 developed Particle Bank app for sharing items. Students would use their app because borrowing saves money. Some of them want to protect environment and not to buy new items that consume natural resources. Using such an app, people would also feel more social and create local communities. Slides. GitHub.
Team members:
Team ORANGE analyzed various offered, and public datasets and investigated following topics: media bias, user behavior, environmental discussion trends and popularity. Their online tool enables to observe media polarization when it comes to the sentiment and environmental topics. Finding that on the Earth Day the environmental discussions have increased leads to a suggestions for officials and organizations on when to target for maximum reach and dissemination of environmental information. They also created a sentiment/energy map of the tweets from Otanemi: in oder to compare the tweets sentiment, and the energy consumption from VTT data, in the buildings where they come from. This as an interesting start for future analysis. Slides (link to Prezi).
Team members:
Team SOMA MINERS developed a quiz-like application “Green Game”. The game includes statistical questions about sustainability related subjects, such as the percent energy used in residential and public places or the distribution of water usage to the sectors. This aims to illustrate the potential contributions of collective efforts in reducing the unnecessary consumption and having more “green” approach. The user is challenged to answer these questions through a visual interface. After completing the quiz, the application displays the actual answers and assigns a score out of 100 based on the accuracy of the answers. Thus, the awareness is addressed in a joyful way. Report.
Team members:
Team ELECTRO’N’ROLL developed GREEN BIM, a design application for creating eco-efficient solutions. Their solution targets architects, and enables them to design an eco-friendly building on the BIM software. GREEN BIM surveys various spaces for comparing the different parameters (temperature, humidity, CO2 Emission) and adjust the design. It also refines the design at the construction sites and verifies, and maintains the constraints when the building is ready. The background idea is to analyze data from different spaces according to their eco friendliness. In the future, feedback from the end users can change the design and create and new parameters. Slides.
Team members:
SOME PHOTOS
Photo Credits: Yu Shen.
Created with flickr slideshow.
| Time | Activity |
| SAT 9:30 | Arrival, registration, teams meeting |
| 10:00 | Welcome by Marko Turpeinen, Director of the EIT ICT Labs Helsinki. VIDEO |
| 10:15 | KeyNote address by Yrjö Neuvo, Head of the Aalto Energy Efficiency Research Programme (AEF). VIDEO |
| 10:30 – 10:40 | Data owner presentations, on behalf of VTT, Ahmed Hussnain speaks. VIDEO |
| 10:40 – 10:50 | Data owner presentations, representative Vladimir Poroshin from M-brain speaks. VIDEO |
| 10:50 – 11:00 | Data owner presentations, representative Tomas Novotny from 720° speaks. VIDEO |
| 11:00 – 11:10 | Data owner presentations, representative Hanna Niemi-Hugaerts from Forum Virium speaks. VIDEO |
| 11:15 – 11:45 | Speed dating intro session |
| 11:45 – 13:00 | Start of the work |
| 13:00 | Pizza Lunch |
| 13:30 – 17:00 | Team work, coaching |
| 17:00 | Evening snacks |
| 17:30 – 21:00 | Team work, coaching |
| 21:00 | Team work progress discussion: facilitated by Fernando Herrera |
| 22:00 | Wrap up for the day; participants can stay overnight or go home for sleep |
| SUN 9:00 | Discussion about team presentations (picthes), ideas and suggestions |
| 9:30– 9:45 | KeyNote presentation by Lilli Linkola from Sitra about the Open Sustainability working group of OKF. VIDEO |
| 9:45– 10:00 | Presentation by Filip Kis from KTH Stockholm, about his JavaScript library for working with API data. VIDEO |
| 10:00 – 12:30 | Start of the work |
| 12:30 | Pizza Lunch |
| 13:00 – 17:00 | Team work, coaching |
| 17:00 – 18:30 | Team presentations & evening snacks |
| 18:30 – 19:00 | Best teams selection by the judges |
| 19:00 | Awards for the best teams |
| 19:30 | Afterparty |
Real-time energy, heating and water consumption measurements for tens of buildings in Otaniemi and other Aalto campuses are tracked. Alongside real-time measurements, you are given access to the historical data for the past two years.
Real-time data on indoor air quality from OIH, including: indoor temperature, indoor relative humidity, indoor CO2 and VOC (air quality parameter).
International and Finnish, traditional and social media data on variety of topics, including energy, sustainability and environment.
The social datasets include Twitter energy-related discussion for the past month (April-May).
OPEN DATASETS
Tool for looking up environment related statistics, in English:
http://www.helsinginymparistotilasto.fi/
Excel on energy and water use in 2013, has also English field descriptions:
http://www.hri.fi/fi/data/helsinki-energia-ja-vesihuolto-2013/
Overview excel on:
1. sheet provides general info on Helsinki: population, energy use and energy production
2. sheet shows current carbon foot-print
3. sheet shows Helsinki CO2-emission basic scenario where likely mitigation activities have taken place
4. sheet shows more means for mitigation of CO2-emissions
http://www.hri.fi/fi/data/kestavan-kehityksen-urbaani-infrastruktuuri-helsinki/
Nordpool — Price information for Electricity Market
General energy consumption-production and price data
Fingrid — data for energy consumption and production
Espoo City solar energy map
Helsinki CO2 emissions in 2030
Green house gas emission in Finland statistics
ADDITIONAL RESOURCES
CREDITS
Interested Aalto Students in receiving study credits from the hackathon can contact Prof. Jukka Nurminen for the details and arrangements: jukka.k.nurminen(at)aalto.fi
PRIZES
APPS4FINLAND
The solutions from Green Campus Hackathon that use Open Data become automatically eligible for Apps4Finland. The solutions using datasets from our commercial partners: M-brain, 720° and VTT may also become eligible, after review and agreements with the corresponding partner regarding the confidentiality of their dataset.
SUBMISSION GUIDELINES
All the teams will present their solutions for 5min + questions, starting 17:00 on Sunday evening. The presentation can be in free form, and style. The slides (or other presentation format) needs to be uploaded to the special submission folder provided by the organizers, for each team, in order to be evaluated. Along with the presentation material, the teams are encouraged to provide relevant & extensive additional documentation and source code (ex. GitHub) supporting their solutions. The judges will evaluate, and select the best solutions based on the quality of the presentation pitch, and all of the additional resources.
In addition, the solutions, to which it is applicable, are highly encouraged to write use cases as described below for their concept/idea/app.
USE CASE:
A) target user characters (name, age, living area and circumtances,
profession, hobbies)
B) use case story describing:
1.why the main characters are using the solution?
2. what they are doing with the solution (tasks)?
3. where and when they are using it?
4. what is the end reusult of using it?This will give them extra evaluation points.
IPR STATEMENT
All submissions to the Green Campus Hackathon remain the intellectual property of the individuals or teams that developed them. By registering, consenting to the terms of the Hackathon, and entering a Submission, however, the Participant agrees that the organizers and industry partners reserve an irrevocable, nonexlusive, royalty-free license to use, distribute to the public, and publicly display and perform a Submission for a period of one year starting on the date of the announcement of contest winners as an example of work. We encourage participants to open source their projects to both share their hacks with the greater community and promote innovation in this space.
Green Hackathon is about YOUR ideas, creativity and solutions.
The organizers identified couple of themes that can give helpful directions, but remember that you do not need to work on any of these, or you can work on ALL of them combined. It’s up to YOU!
A common denominator for the solutions expected from the hackathon is the environmental impact. Under this theme, we ask for the degree to which a solution achieves such a goal, i.e.,
which is the greenest hack?
Recently, an increasing number of media publishers are facing critique for non-objective discussion about climate change and sustainability issues. For instance, one of the most respected European publishers, BBC, is accused of succumbing to false balance on climate by the UK Parliament. At the same time, scientists are reaching almost unanimous consensus on anthropogenic nature of climate change.
Can you identify media bias from provided data? How could we work towards more objective media? Can crowdsourcing help in this case? How about scientific promotion?
Today, much hype is going on in media about Big Data. Big Data seems to be a promise for many problems and a solution for not-yet identified human needs. Especially when it comes to human comprehension of such Big Data, besides analytics, creative and innovative visualization capabilities are a must.
We provide you with Big Data from energy and social domains. Can you do the challenging task and provide some novel data representation?
In particular, how to make the data transparent and closer to the people to comprehend? Can Augmented Reality be of help?
Through this theme, we encourage innovation and entrepreneurship spirited teams. We look for most financially viable business-oriented solutions to utilize offered open datasets. Conceptual business proposals involving existing data provider companies are also encouraged.
First of all – have you identified a real NEED for your business idea?
One of the most challenging research topics is: what drives massive human behavior change? From marketing products, over politics, to information spreading in social media, researchers and businesses are asking the question: what motivates the people to change and accept a new type of behavior or idea?
When it comes to the future of our planet, there is no plan B: can you come closer to the answer on how to encourage people to change their lifestyle to a more sustainable?
Professor Marko Turpeinen is the Director of the Helsinki Node of ICT Labs, one of the Knowledge and Innovation Communities (KICs) of the European Institute of Innovation and Technology (EIT). Professor Turpeinen has a Dr.Tech. Degree in Computer Science from Helsinki University of Technology (TKK) and a M.Sc. Degree in Media Arts and Sciences from Massachusetts Institute of Technology (MIT). He has been a Professor in Media Technology at Kungliga Tekniska Högskolan (KTH) in Stockholm since 2006. He has also acted as Programme Director of the Network Society research programme at the Helsinki Institute for Information Technology HIIT since 2007.
Jukka started as professor of computer science at Aalto University at the beginning of 2011. He has a strong industry background with almost 25 years experience of software research at Nokia Research Center. Jukka’s experience ranges from mathematical modeling to expert systems, from network planning tools to solutions for mobile phones, and from R&D project management to tens of patented inventions. Jukka received his M.Sc degree in 1986 and Ph.D. degree in 2003 from Helsinki University of Technology.
Docent Anu Kankainen is Senior Researcher of Digital Content Communities research group at Helsinki Institute for Information Technology at Aalto. In the energy consumption field, she is doing research on EU funded CIVIS project that started in fall 2014. Kankainen is pioneer in Research through Design approach that is a promising research approach in the field of Human-Computer Interactions. She has several years of experience in user research and user-centred design with aim of understanding and concretizing human motivations in digital design spaces.
Sanja is a PhD researcher at Aalto University, School of Science. Her research focuses on data analytics, Big Data and application to social networks, energy datasets and green and smart cities. She holds MSc in computer science from Aalto and Univ. of Tartu, Estonia and diploma in applied mathematics from Univ. of Montenegro. She also graduated from Space Studies Programme by International Space University. Work experiences includes Central bank of Montenegro and startup SEVEN Networks in Silicon Valley.
Jesse holds MSc in social sciences from University of Helsinki. He has also been research assistant at University of Helsinki, Aalto University and Helsinki Institute for Information Technology HIIT.
Hussnain Ahmed is an MSc student in Aalto University School of science. He is doing his master’s thesis research in big data analysis. His research focuses on correlating the machine / sensor data with social media data. He has developed a platform that can collect and process different kind of data and produce insights using deep learning techniques. He has been collecting twitter data and performing qualitative analysis like sentiment analysis on it. He is also analyzing the Helsinki test-bed energy consumption data along with Sanja Scepanovic. Hussnain also has a professional background in Operations and Business Support Systems (OSS / BSS) for Telecommunications.
