Information Processing Centre - Ośrodek Przetwarzania Informacji – Państwowy Instytut Badawczy (OPIPIB)

We operate in the research and development sector.
We build computer systems and create software for the science and higher education sector to share up-to-date and comprehensive information and data.

Our computer systems are designed comprehensively –
From methodology and technological aspects, to the gathering and verification of information (organisation of processes, exploration of resources with the use of semantic analysis and artificial intelligence tools), to the aggregation and visualisation of data. Our most important systems include: the Integrated System of Information on Science and Higher Education (POL-on), the Uniform Anti-plagiarism system (JSA), the electronic proposal submission service I (ZSUN I), the electronic proposal submission service II (ZSUN II) and the Polish Graduate Tracking System (ELA).

We employ over 200 programmers
Our programmers code in JavaScript, Java, Python, SQL, HTML, CSS, TypeScript, jQuery. As highly specialised professionals, they have been recognised for their solutions at programming contests, including at PolEval 2019, AI&NLP Workshop Day, and Workshop for Doctoral Students and Young Researchers in Information Technology 2018 (WDSIT 2018), in addition to an international competition organised by the network of plagiarism detection experts.

We provide services mainly to the Ministry of Science and Higher Education.
Our computer systems organise and integrate data concerning higher education and science in Poland, and the results of our research projects and analyses are used by the Ministry of Science as a tool to support the decision-making process. Other important entities to which our services are offered include two central research funding agencies: the National Science Centre (NCN) and the National Centre for Research and Development (NCBR).

Everything we do is based on interdisciplinarity.
Our research is conducted in six laboratories, bringing together professionals from many fields; apart from information technology experts, our team is composed of economists, sociologists, lawyers, statisticians and psychologists. This fusion of different scientific approaches is conducive to in-depth analysis of research issues and drives innovation. Our key areas of research include: machine learning algorithms, natural language processing algorithms, sentiment analysis, neural networks, discovering