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National Information Processing Institute


The National Information Processing Institute (OPI PIB) operates in the research and development sector. Our statutory objective is to provide easy access to up-to-date and comprehensive information about science and higher education in Poland. We realize that objective mostly by designing and building information systems for users from the science and higher education sector. In our systems we widely apply intelligent algorithms, machine learning, artificial intelligence, and natural language processing tools.

Our most important systems are:

POL-on – the Integrated System of Information on Science and Higher Education. It is the pillar of the integrated system with information on science and the university education – the system also consists of the Polish Scientific Bibliography (PBN), the Polish Citation Database (POL-index), and the Nationwide Repository of Diploma Dissertations (ORPPD). It is the most comprehensive data repository on Polish science and higher education (it contains close to 40 modules). From the perspective of data gathered – it is the biggest operational public system. In 2018 the POL-on system received the EUNIS Elite Award as the best solution in the area of information systems for higher education.

The Uniform Anti-plagiarism system (JSA) – a system used for plagiarism detection in theses that supports a supervisor in thesis verification. The JSA system has become operational in January 2019 and is made available for free to every Polish university. It checks thesis against the Nationwide Repository of Diploma Dissertations (ORPPD), NEKST – the first semantic Internet browser in Poland (currently containing 600 million Polish-language documents), as well as other sources (6 Wikipedia, the Online Legal Database – ISAP, rulings) – around a billion documents altogether. The JSA system detects: (1) similarities (thesis copies, fragment borrowings in reference databases, fragments semantically similar to the texts in reference bases (regardless of a given phrase syntax); (2) manipulations (dividing the words with microspaces, different kinds of word linkage, changing the word font, hidden special characters) and (3) the change in the thesis writing style.

ZSUN I (the electronic proposal submission service I) – the system designed for compiling, registering and processing of proposals for science projects and scientific activities that are submitted to the Minister of Science and Higher Education, the National Science Centre, and the National Centre for Research and Development. As part of the system, our programmers built a unique semantic search engine of science grant applications. Thanks to that search engine project applications can be searched based on specific criteria by text data contained in applications, such as a summary, or project description. It also has an intelligent component that uses artificial intelligence tools to find applications and projects whose thematic scope is similar, even if they were submitted in various competitions.

ZSUN II (the electronic proposal submission service II) – a platform using the data warehouse which gathers and processes, as well as disseminates data and information on university education and science in Poland. As part of the ZSUN II system, there has been an integration with nine systems managed by us with the help of uniform interfaces, and the integrated platform is available under the name Rad-on. Raporty. Analizy. Dane [Reports. Analyses. Data]. ZSUN II uses the resources of the POL-on system, the ORPPD, the ELA system (Polish Graduate Tracking System), the ZSUN I system, and other systems we have built.

The Polish Graduate Tracking System (ELA) which we have been commissioned by the Ministry of Science and Higher Education to build, allows high school graduates a more informed choice of university, as it shows the salary ranges for graduates of specific faculties, and at which universities. The graduates’ professional fate tracking cause also universities to adjust their educational offer to the job market’s expectations. The main sources of systemic information are: administrative data from the Social Insurance Institution (ZUS) and data extrapolated from our Integrated System of Information on Science and Higher Education (POL-on). From the ELA website one can automatically generate reports on the economic situation of graduates’ of various faculties, and the way of presenting the findings allows for comparison between faculties, as well as universities.

We are also editors of the SI web portal centering on artificial intelligence, automatization and robotics. The web service aims to promote the topic of artificial intelligence across a wide readership range – we publish articles on various AI aspects, interviews with scientists, prognoses and analyses of AI development in Poland and abroad.

The next important area of our activity is conducting research pertaining to the operation of science institutions, higher education establishments, and organizations supporting the technology transfer. We are interested in the expediency and effectiveness of research initiatives, includng the ways of financing the R&D projects. We recognize the significance of interdisciplinarity in modern science – our research combines information technology (artificial intelligence, cognitive science, human-computer interaction), social sciences, psychology, statistics, economics, and user-oriented design.

We also take part in the implementation of the European Structural and Investment Funds (ESIF) – currently, we are the institution implementing the Measure 4.2. of the Smart Growth Operational Programme (POIR) “Development of modern research infrastructure in the science sector”.