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IT Collaboration Network

The IT Collaboration Network is a tool for improving competitiveness, enhancing operations and reaching new goals in business activities. Through the network you can reduce risks and share developmental cost, and find public funding to create new knowledge and expertise.

Table of contents

High technology is made together

Developing technology alone is difficult, but finding the right Research, Development and Innovation (RDI) network can be challenging. The Ä¢¹½Ö±²¥ is doing significant work to promote knowledge and innovation, and is committed to creating expertise and skills that benefit society as a whole. The university offers opportunities to find partners for RDI projects, recruit employees in the IT sector, professional expertise and possibilities of public funding for companies' RDI needs.

Collaboration examples for businesses include:

  • Student projects: testing of ideas, development and refining
  • Cooperation of working life with education: student employment and workforce gauging
  • Research Cooperation: external funding, research subcontracts, RDI projects
  • Business and expert network: finding collaboration partners

Join the network by sending an email to yhteistyo-it@jyu.fi

Collaboration opportunities with the university

Optimise and improve the efficiency of your business!

By combining modern, efficient solutions with interdependent factors such as multifaceted data, analytics and expert knowledge, you can optimise your operations in different areas of your business with multi-objective optimisation.

For example, you can improve forestry operations by combining laser scanned forest plots data with growth simulation and biodiversity data.

Interactive optimisation methods can be used to find solutions in many different areas, including:

  • Software development
  • Healthcare
  • Logistics
  • Engineering
Monitavoiteoptimointiryhmä

How to prepare for cyber threats? 

With digitalisation, various signals and different networks are using more resources and demanding more security and efficiency than ever before. Data mining and machine learning are increasingly important to master in order to be prepared for threats. 

By processing different types of signals, it is possible to study and safeguard the operation of different devices, things and networks:

  • Network safety
  • Image processing
  • Brain signal activity
Kyberuhkat drooni

With the help of Cyberseclab you can prepare for different kinds of security threats and situations:

  • Cyber threats and attacks
  • Critical infrastructure
  • IoT devices

The lab equipment is versatile: nano satellite,top of the line drone,industrial environment robot, private 5G network and other appliances to solve the security threats and problems of the aforementioned and many other fields.

How to improve your data processing and operations with the cutting-edge technologies of the future?

With the help of quantum computing you can discover new innovative ways to combine the best possibilities of a regular computer with the computing power of quantum computers.

The university's quantum research group is developing new future solutions for quantum software development and design problemsand is involved in the Finnish Quantum Flagship project, which brings together top experts from differentresearch fields to build and expand the national ecosystem.

Join us in solving the challenges of the future!

The Possibilities of Quantum Research

How to improve our daily welfare with the help of the latest digital methods?

The digital health intelligence laboratory is developing smart new solutions for the benefit of everyone's health and welfare.

By developing data based solutions and models you create and improve: 

  • New information on health

  • Automate the routine tasks of doctors

  • Improve RDI operations with synthetic data

Health intelligence, among other things, can be used to improve

  • Predicting the health conditions of children

  • The detection of the risk factors of sports injuries

  • Early detection of osteoarthritis

  • Developing intervention operations and effectiveness

The laboratory has had many national and international collaborations with health and well-being professionals and companies, so the willingness and experience for collaboration exists already.

Do you want to collect accurate multifaceted data by analyzing a variety of high-resolution images?

By combining hyperspectral imaging and image data analysis with a variety of modelling, simulation and machine learning techniques, you can make a difference in a wide range of fields.

Multidimensional data and technology can be utilized in many fields and has already been used to solve problems related to:

  • Forestry
  • Agriculture
  • Remote mapping
  • Marine Biology
  • Pharmaceutical, paper and food industries.

The group at the university has collaboration experience from many fields with a goal of making imaging use more accessible by offering commission research and possibilities in many different fields. The imaging laboratory has multiple spectral cameras for different wavelengths for situations in the lab or in the field.

How to strengthen the bonds and interaction between humans and technology? 

Cognitive science can be used to develop how humans and technology interact and make this interaction even more efficient and enjoyable. 

By analyzing how the different processes of the human mind affect this interaction you can better understand and predict how the user will act or think in the chosen environment. The university also has a Drive-In Lab where you can drive any passenger car and connect it to a driving simulation for testing purposes.

Cognitive sciences can come up in many different contexts: 

  • When inspecting attention focus while driving in a simulation

  • Recalling authentication passwords

  • Simulating emotions

  • Designing user interfaces and other facets of user experience

Use cases can be basically found from any situation where a computer and human interact together.

Ajosimulaattorikontti
Passenger car under testing in the Drive-In Lab
HTHub

Discovering learning and other research areas with the help of analytics.

The importance of varied data has grown as the world of learning has evolved.

By collecting data from a wide range of perspectives and sources, we can improve our understanding of learning, find new and better pedagogical solutions and develop learning environments. All this can be combined with different analytical methods such as data mining, machine learning and learning analytics.

Research is already combining many areas, including:

  • Decision analytics
  • Learning sciences
  • Brain research
  • Nanophysics

Human Technology Hub (HTHub) is a collaborative space focused on researching varied environments from the real world to the virtual and everything between.

The equipment includes many measuring implements to collect data:

  • Video, with 360 camera
  • Audio
  • Physiological data heartbeat and muscle electrocardiogram, among others.

The space has VR headsets and powerful computers to help develop and research diverse environments.

How to improve learning and education with the help of technology?

As the world is becoming more technologised, working with different devices and equipment makes the world of education easier, but also more complex. The effective combination of technology and education can further enhance learning and interaction in different contexts, thus developing skills and competences.

Enhancing learning in various contexts:

  • Improving flight simulators by collecting multimodal data with eye tracking, and other devices
  • Simulation training in healthcare
  • Learning analytics 
  • In schools through teacher tech acceptance and skill training in a digital world

With real-life situations, a solid theoretical basis and extensive data, new and effective ways to develop different types of learning and education can be found in schools and companies. 

Developing learning through technology

Collaboration events

Contact

Couldn't find information on who to contact on the website? Send an email to yhteistyo-it@jyu.fi. You can also join our collaboration network mailing list through this address.