data

Ochrona danych osobowych i wizerunku ucznia w szkole – aspekty prawne

Author: Anna Zdańska-Burliga
Institution: Katolicki Uniwersytet Lubelski
Year of publication: 2018
Source: Show
Pages: 73-82
DOI Address: https://doi.org/10.15804/kimwe2018107
PDF: kim/2018_1/kim2018108.pdf

Student personal data and image protection at school – legal aspects
The personal data of students are very important, and their protection from the point of view of the good of the child and the proper functioning of the institution is important. The main legal act that regulates it is the law on the protection of personal data. Teachers’ awareness of the knowledge of the above-mentioned Act and its application and the consequences of its violations is important.

Ochrona danych osobowych na przykładzie funkcjonowania biura senatorskiego

Author: Karolina Grychowska
Institution: Uniwersytet Wrocławski
ORCID: https://orcid.org/0000-0001-9389-0804
Year of publication: 2018
Source: Show
Pages: 369-382
DOI Address: https://doi.org/10.15804/siip201819
PDF: siip/17/siip1719.pdf

Protection of personal data based on the example of the Senator’s office

The concept of personal data protection is currently a very important topic. This is the result of the entry into force of the Regulation of the European Parliament and of the Council on the protection of individuals with regard to the processing of personal data and on the free flow of such data, which came into force on May 25 this year. Personal data and their protection is an area that applies to every citizen. It should be stated that there are more and more ways of collecting data. It also involves a special need to protect them. There are many reasons that imply the need for a broad regulation of personal data protection rules. A senational office is one of the places where personal data is constantly collected and which, during its functioning, is obliged to ensure data security. The processing of personal data by the Senator’s office is related to the tasks performed by them, including the basic duty which is to provide services for the senator. For the proper processing of data, there are many different documents, including a privacy policy that comprehensively defi nes the protection of personal data in the senator’s office. This article analyzes the law on the performance of a deputy and senator’s mandate, which is the basis for the Senator’s duties. The legal acts have been juxtaposed with several items in the literature presenting the position of the representatives of the doctrine. Undoubtedly, this article is based on the legal-dogmatic method.

Analiza dotycząca możliwości budowy modelu ryzyka kredytowego

Author: Paweł Marcinkowski
Institution: Allegro Pay sp. z o.o.
ORCID: https://orcid.org/0009-0009-2082-9442
Year of publication: 2023
Source: Show
Pages: 168-184
DOI Address: https://doi.org/10.15804/ksm20230308
PDF: ksm/39/ksm3908.pdf

Analysis of the possibility of building a credit risk model

FinAi has undertaken a project focused on the development of an innovative credit risk model utilizing alternative data sources, such as data from social media platforms (Facebook, LinkedIn) and mobile phone records. This project was co-financed through the European Regional Development Fund under a funding agreement between FinAi S.A. and the National Centre for Research and Development (NCBiR), headquartered in Warsaw. The initial phase of the project involved the collection of data and their utilization in constructing a network graph of customer relationships. Furthermore, leveraging external data as well as data managed by FinAi, specific indicators were formulated. These indicators were employed under the supervision of experts to train a predictive model that incorporated graph structures. The model thus constructed was to exhibit a higher predictive capability compared to conventional models commonly employed within the industry. The study explored the feasibility of creating a credit risk model based on the acquired data and assessed the quality of data originating from alternative sources. It was demonstrated that alternative data sources were populated for a small fraction of the population, and their quality has proven unsatisfactory. The scale of the dataset proved inadequate for establishing a robust credit risk model or attaining a competitive advantage over the models in use within banking institutions.

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