About Us

Who are we?
Our team study social informatics. We are interested in issues related to the relationships that occurs between society and information systems. We examine changes in social structures, which are under the influence of modern information technology (for example changes in collaboration between people in the context of systems such as GitHub or Wikipedia). On the other hand we investigate how social mechanisms can improve the quality of information systems (as an example of such dependency we might consider reputational systems in e-commerce systems). We are an interdisciplinary team that gathers people with expertise in the following areas :
  • Social network analysis (SNA);Logo socinfo.pja.edu.pl
  • Natural Language Processing (NLP);
  • Social Simulations;
  • Machine Learning;
  • Sociology;
  • Psychology;
We carry out projects that require a combination of knowledge from all of these fields. We believe that the relationship between social science and computer science is getting stronger. For many modern information systems it is necessary to take into account a number of factors, that go beyond the realm of pure computer science. Such a factor may be for example the need to understand the (natural) language used by the users of the application or the intelligent management of social ties between members of some social online network.

Latest announcements:

  • Below is a list of latest announcements including our Socinfo Seminars:
  • Seminarium: Natural language based user-portal interface Pragniemy serdecznie zaprosić Państwa na seminarium doktoranckie Informatyki Społecznej, które odbędzie się w najbliższy poniedziałek, 20.06.2016,  o godz.15:30 w sali 110A. Prezentację pt. "Natural language based ...
    Posted Jun 19, 2016, 11:50 PM by Daria Kwiatkowska
  • Seminairium: Rules induction based method for the item selection in computer adaptive testing Pragniemy serdecznie zaprosić Państwa na seminarium doktoranckie Informatyki Społecznej, które odbędzie się w najbliższy poniedziałek, 13.06.2016,  o godz.15:30 w sali 110A. Prezentację pt. "Rules induction based ...
    Posted Jun 10, 2016, 7:05 AM by Daria Kwiatkowska
Showing posts 1 - 2 of 43. View more »
Our Team  

Adam Wierzbicki, Ph.D.
Adam Wierzbicki
Adam Wierzbicki received his Ph.D. degree from the Warsaw University of Technology and a habilitation title from the Institute of Systems Research of the Polish Academy of Sciences. He is currently employed at the Polish-Japanese Academy for Information Technology, where he has the position of Full Professor and of Vice-President. He is an expert in Social Informatics and operations research. His current research interests focus on social informatics, in particular on credibility, trust management, collective intelligence and fairness in distributed systems. Dr Wierzbicki also works on algorithms for solving multi-hard problems, which are composed of multiple hard optimization problems. He has published several papers on trust management and on applications of the theory of equity to providing fairness in open distributed systems, and is the author of a Springer book titled “Trust and Fairness in Open, Distributed Systems”. He is also interested in open collaboration, particularly using Wiki technology, and in Crowdsourcing (with an emphasis on new algorithms for evaluating and managing Crowdsourcing workers). In 2011-2015 Dr Wierzbicki headed the Reconcile project which has developed tools for the evaluation of Web content credibility. Currently, he is a Senior Researcher of the Dream project that concerns developing IT technology for elders. Dr Wierzbicki is the Steering Committee Chair of the International Conference on Social Informatics (SocInfo). 
Due to his experience in research and development in Social Informatics, Dr Wierzbicki is an expert on Big Data, Web and data mining and machine learning, or more generally – Data Science. Dr Wierzbicki is also an expert on simulation and multi-agent systems, which are essential tools in the study of cause-effect relations that cannot be proven through Data Science only. His research on the design of technology that is able to better interact with communities of users can be summarized as an effort to capture the notion of Artificial Social Intelligence. This challenging goal can only be achieved through a combination of approaches used so far in AI, HCI and Social Informatics.
Dr Wierzbicki is a member of the Scientific Advisory Board of Complexica, an Artificial Intelligence software company that helps large organisations sell more products and services, and reduce their labour costs through the use of automated analytics. 

Contact info: adamw@pjwstk.edu.pl
Polish-Japanese Institute of Information Technology
Ul. Koszykowa 86
02-008 Warsaw, Poland

dr Radoslaw Nielek
Radek Nielek
is an assistant professor at the Polish-Japanese Institute of Information Technology. He received his Ph.D. degree from Polish-Japanese Institute of Information Technology (PJIIT) Warsaw, Poland. His Ph.D. thesis is titled "Designing Algorithms for Realising Social Goals". He held a Bachelor's Degree in Pro- duction Engineering and Management of Szczecin University of Technology and Master's Degree in Computer Science of PJIIT. His research interests include web credibility, trust management, and opinion mining. He has published over 30 papers on web mining, social informatics and social simulation.

Oskar Jarczyk
Oskar Jarczyk
graduated from Polish-Japanese Institute of Information Technology with a MSc Eng. degree in computer science (major databases). After 3 years of commercial work he returned to academia to become a PhD student in the field of social informatics. His work is connected with problems in a category of web intelligence, especially swarm creativity and collaborative innovation networks (COINs). He specializes in analysing quality of work in Open Source Software (OSS) repositories on the GitHub portal. Oskar's hobbies are Kendo, reading about successful startups, and travelling to Southeast Asia.

Maria Rafalak
Maria Rafalak
holds a Master’s Degree in Psychology from the University of Warsaw, where she completed a specialisation path dedicated to applied psychometrics. She simultaneously reached a B.Sc. Degree in Informatics and Econometrics at the Warsaw University of Life Sciences. In 2012 she completed scientific internship at University of Cambridge Psychometrics Centre under guidance of dr Michal Kosinski. She also holds BPS Certificates of Occupational Test Use Level A & Level B (RQTU: 311503). Maria works as a psychometrician at the Polish Psychological Tests Laboratory of the Polish Psychological Association. In 2013 she has started Phd studies at the department of Social Informatics at Polish Japanese Academy of Information Technology. In her research she concentrates on the influence of users’ individual differences (like personality traits or preferred cognitive styles) on effectiveness of algorithms that deal with crowdsourcing data.

Bartłomiej Balcerzak 
Bartłomiej BalcerzakPhD student in Social Informatics at the Polish-Japanese Institute of Information Technology. Formerly, student of sociology at the Institute of Sociology at the Warsaw University. In his work he focuses on the use of natural language processing for detection and analysis of hate speech, propaganda, and the language of fringe ideologies.

Emilia Rejmund
Emilia Rejmund
received her master’s degree  from  Technical Physics and Applied Mathematics division of Warsaw Technical University. Currently is an social informatics Phd student at PJAIT Warsaw. Her area of interest is application of natural language processing methods  to credibility evaluation. She focuses her attention on semantic similarity and entailment, semantic method of analysis and synthesis of natural language texts,  and  nlp methods application to statistical machine translation.

Grzegorz Kowalik
Grzegorz Kowalik
Master degree in sociology in Warsaw University with specialization in statistics and quantitative methods. Was working as a programmer and a market researcher. Currently PhD student of Social Informatics at Polish-Japanese Academy of Information Technology, focused on social simulations and competitive rankings algorithms. Interested in politics, sociology, market research, marketing, new technologies and gaming industry. 

dr Leszek  Bukowski
dr Leszek Bukowski
Just after my Ph.D., I started to teach at Polish-Japanese Institute of Information Technologies about social network analysis and user engaging mechanics. My main field of expertise are social networks and large graphs analysis. Currently most of my research is focused on WikiTeams project.  I used to work at Polish internet company “Nextweb Media” as Main Data Scientist. I was responsible for the architecture of a system, that was processing knowledge obtained from a social graph (Facebook) of the users. I am fascinated with new media and all the possibilities they give us. I am a regular guest in Channel 4 of Polish Radio, where I am an expert in the field of ICT.

dr Bogdan Ksiezopolski
Bogdan Księżopolski
is an Assistant Professor at the Polish-Japanese 
Academy of Information Technology in Warsaw and Maria Curie-Sklodowska University in Lublin. He received his M.Sc. in computer physics from
Maria Curie-Sklodowska University in Lublin and Ph.D. degree of computer science from Polish-Japanese Academy of Information Technology in Warsaw, Poland. His research interests include
information security, cryptology, security metrics, security engineering, cryptographic protocols. He has published over 40 papers on computers security.

Paulina Adamska
Paulina Adamska
Received her PhD in computer science from Polish-Japanese Academy of Information Technology (PJAIT). Currently an assistant professor at PJAIT. She is the co-author of a middleware based on the generic Peer-to-Peer Protocol. Her interest in peer-to-peer networks has recently evolved, and moved towards cloud platforms. Her research focuses on social informatics, in particular reputation systems on the Web, and mechanism design. Besides her academic work, she is also fascinated by Scandinavian languages and culture.

Wojciech Jaworski

Wojciech Jaworski
 received his Ph.D. degree from the University of Warsaw. He is currently employed as Assistant Professor at the Institute of Informatics of the University of Warsaw. He is an expert in Natural Language Processing, Knowledge Representation and Machine Learning. His current research interests focuses on Categorial Grammars, Natural Language Understanding and applications of Natural Language Processing in social informatics. He has published several papers on relationship between rough sets and statistical learning theory, ontology-based knowledge extraction and classifier validation, and is the author of Search Engine for the Cuneiform Economic Documents Corpus. Since November, 2011, Dr Jaworski works for the Reconcile project which is concerned with the development of tools for the evaluation of Web content credibility.

Michał Kąkol

Michał Kąkol 31337
a graduate of Warsaw School of Economics and Polish-Japanese Institute of Information Technology, currently a PhD student of Social Informatics, PJIIT. Has professional experience in web- and user interface design. As a researcher focuses on web content credibility assessment using data mining.

Agata Nieścieruk
Agata Nieścieruk
has graduated from Faculty of Mathematics, Informatics and Mechanics at University of Warsaw with Master of Science in Mathematics. Now she is a PhD student of Social Informatics at Polish-Japanese Academy of Information Technology. Since more than 5 years she has been working as an Internet Analyst in Gemius. In everyday work she uses mainly python, bash and mysql to analyse big data and prepare non-standard reports related to advertising market in the Web. She is interested in risk analysis in IT systems and phenomenon of cookie acceptance and privacy policy.

Marta Juźwin
Marta Juźwin
 studied sociology at Warsaw University in a specialization of mathematical models used in Social Sciences. The theories of social choice and game theory were the most interested for her. She devoted her thesis to the Analytic Hierarchy Process (AHP) – one of models used for a multiple-criteria decision analysis. In her academic work, her research interests include reputation systems, expert identification on Q&A portals and gamification mechanisms in IT. In her studies she uses agent – based social simulations. Besides academic work, she is interested in theatre and Portuguese language and culture.

Mariusz Pajer 
Mariusz Pajer
(M.Sc. Eng., born 1974) He was graduated from Warsaw University of Technology, Faculty of Electronics and Information Technology in Computer Engineering. He is working for National Institute of Telecommunications (Warsaw, Poland) and Warsaw University of Technology. Ph.D. student at Polish-Japanese Institute of Information Technology, research topic: why peoples participate in the creation of Web 2.0 content. He has participated in various research and development projects in areas of electronic communications, e-learning, data warehouses and databases, knowledge management and distributed information systems, which have been founded by European Commission and government of Poland (NEXTWAY, ATVN-EU-GP, BReATH, REVE, CRUJISE, EDFAS, SYNAT, SIPS, LDUiTV, IIP).