Jozef Stefan Institute Department of Knowledge Technologies Jamova

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Jozef Stefan Institute Department of Knowledge Technologies Jamova 39, Ljubljana, Slovenia

Jozef Stefan Institute Department of Knowledge Technologies Jamova 39, Ljubljana, Slovenia

Location of IJS (1) Europe Slovenia

Location of IJS (1) Europe Slovenia

Location of IJS (2) Department of Knowledge Technologies Ljubljana J. Stefan Institute

Location of IJS (2) Department of Knowledge Technologies Ljubljana J. Stefan Institute

J. Stefan Institute Profile • Jozef Stefan Institute is the leading Slovene national research

J. Stefan Institute Profile • Jozef Stefan Institute is the leading Slovene national research organization for natural sciences • The Institute was founded in 1949. • The staff of around 700 people is specialized in research of: – information science & electronics, – physics, – chemistry and biochemistry, – nuclear technology.

J. Stefan Institute Organization Research departments Physics (6 deps. ) Chemistry and Biochemistry (5

J. Stefan Institute Organization Research departments Physics (6 deps. ) Chemistry and Biochemistry (5 deps. ) Information Technologies & Electronics (7 deps. ) Reactor Technics and Energetics (1 dep. ) Department of Knowledge Technologies (20 people) Department of Intelligent Systems (18 people) Centres Infrastructure (6) Educational (4) Center for Knowledge Transfer in IT (4 people) Technology and Consultancy (13)

Department for Knowledge Technologies

Department for Knowledge Technologies

Department of Knowledge Technologies (Profile) • Head: Prof. Nada Lavrac • Staff: 18 researchers

Department of Knowledge Technologies (Profile) • Head: Prof. Nada Lavrac • Staff: 18 researchers + 2 support + 6 external • Historical note: – Founded as Artificial Intelligence Group in 1979 – Artificial Intelligence Laboratory in 1985 – Department of Intelligent Systems in 1995 (merging the AI Lab and the NLP Lab) – Splitting into two departments (KT & IS) in 2003 • Close collaboration within Slovenia with: – – Intelligent systems department at J. Stefan Institute Artificial Intelligence Lab at University Ljubljana Companies Quintelligence and Temida …forming a group of approx. 60 people closely working in AI.

Dep. of Knowledge Technologies (Research Profile) • Main research areas: – Data analysis using

Dep. of Knowledge Technologies (Research Profile) • Main research areas: – Data analysis using Machine learning/Data mining – Knowledge management – Ecological modeling – Decision support systems – Computational linguistics – Logic & cognitive sciences

Direct International (non-EU) Collaborations • Carnegie Mellon University, US – Link Analysis, Text-Mining, Market

Direct International (non-EU) Collaborations • Carnegie Mellon University, US – Link Analysis, Text-Mining, Market Analysis • Microsoft Research, US – Text-Mining, Link Analysis • Stanford University & NASA Ames, US – Equation Discovery, Ecological Modeling • Tokyo University, Japan – Equation Discovery

Involvement in FP 5 EU Projects • R&D projects – – Sol. Eu. Net

Involvement in FP 5 EU Projects • R&D projects – – Sol. Eu. Net – Data-Mining Virtual Enterprises (JSI coordinator) METAL – Meta Learning approaches (FET) CINQ – Query Languages for Data Mining (FET) GMonit – Data-Mining & Decision-Support in Ecology • Research Networks – – KDNet – Knowledge Discovery Network KMForum – Knowledge Management Nemis – Text-Mining network EUnite – Machine Learning and Knowledge Discovery Network

Active FP 6 projects • Integrated Projects (IP): – SEKT - Semantically Enabled Knowledge

Active FP 6 projects • Integrated Projects (IP): – SEKT - Semantically Enabled Knowledge Technologies – ECOLEAD – Networked Organizations & Virtual Enterprises • Specific Targeted Research Projects (STREP): – ALVIS – Next Generation Search Engines – SIGMEA – Data-Mining in Ecological Modelling • Network of Excellence (No. E): – PASCAL – Machine Learning for Interfacing techniques • Specific Support Actions (SSA): – CEC-WYS – Center for Women and Youth in Science

Position in the project • Main expected contributions: – Web site – dissemination of

Position in the project • Main expected contributions: – Web site – dissemination of info. (identify the responsible national bodies) and updating of content – Database – encouraging women in science to register – Women evaluators workshop – help at national level – Leading Enwise follow-up Work-package and prepare the summary report • • establish contacts at national level identify key issues to monitor at national level monitoring at national level organization of workshops for promoting the monitoring findings and science in general

What JSI expects from the project? • Main expectations: – to become a high

What JSI expects from the project? • Main expectations: – to become a high quality center promoting and supporting women and youth in science – to contribute to improvement on equal opportunity at national and international level – to promote science and especially technical sciences at national and international level – to contribute to interesting data analysis problems

What is expertise of JSI group? Different members of the JSI CEC-WYS team cover

What is expertise of JSI group? Different members of the JSI CEC-WYS team cover the following expertise • • personal experience of being women in science personal network of women scientists personal experience of being young scientist strong scientific expertise in data analysis including – data from different sources (for the purpose of monitoring, identifying commonalities, global trends, etc. ) – analysis of usage of Web sites (Web log analysis) – searching and analyzing database including free text (eg. , automatic grouping of people based on their description of interest/projects/. . . )

Tnx.

Tnx.