HAiLife – Human sciences data as a foundation for a new business.

The term Human Data refers to information related to human activities and interactions, and the data generated from them. This includes various measurement results, such as eye movement data, heart rate variability, or skin temperature, as well as recordings of interactions, such as dialogues with other people or even with artificial intelligence. Human data is a broad subject with significant business opportunities if utilised well.

You can find a video explaining the concept of Human Data. It also discusses examples of applications of Human Data and the the possibilities of the LeaF infrastructure for data collection.

What human data? -video

You can read the transcript of the video here

With the advancement of technology, there is an increasing amount of exploitable data emerging from human thoughts, emotions, and interactions. Artificial intelligence methods such as computer vision, speech recognition, and natural language processing can now analyze human behavior, thoughts, and emotions with greater precision than before. For instance, computer vision can analyze facial expressions and gestures to infer what individuals are thinking or feeling. Although these methods still have their limitations, they also create new opportunities for businesses.

The recordings below are in Finnish.

Links to Resources

Data business models are ways in which companies leverage data to create value and generate revenue.

Examples of data business models:

1. Data Collection and Analysis: A company collects data from various sources, such as website visitor tracking or customer satisfaction surveys, and analyzes it to provide better services or products.
2. Data Selling: A company collects and analyzes data, selling it to other organizations that can use it in their own operations.
3. Data Sharing: A company offers data for free or in exchange for payment through a website or mobile application.
4. Data Utilization in Services or Products: A company collects data and uses it in its operations to create value for customers.

These models highlight the diverse ways in which businesses can leverage data to enhance their operations and create value for both themselves and their customers.

The following recordings are in Finnish.

Linkit:

Fair data economy refers to a model of using and sharing data that takes into account people's rights and obligations, as well as the balance of interests between society and businesses. Fair data economy is based on transparent, reliable, and fair use of data, where individuals' personal data is processed lawfully and justly.

Key EU regulations related to data:

The EU has five important regulations related to data governance that define the conditions and obligations for data use within the EU. In addition, there will be complementary national regulations related to these, but for the most part, they are still in the preparation stage (as of fall 2023).

Expert Opinions

Resurssit:

Data spaces enable the easy and efficient sharing, analysis, and utilization of information. For instance, the European Commission aims to bring together data infrastructures and governance frameworks to facilitate the integration and sharing of data.

Currently, various open datasets can be used in various ways, such as in research, development work, or the creation of new services and applications. Open data can provide new insights and inspiration for the development of innovative products and services. Services related to open data in Finland are listed separately. Under this heading, you can find information about plans, organizations, and experimental platforms related to open data.

There are currently many services in Finland that offer open data. They are being actively improved and developed, so this list is most likely not comprehensive. Most or all of the links are in Finnish.