Project partners


OMINO project consists of the Coordinator and six Beneficiaries - these are the entities that particiapte in the budget obtained from the European Commission and threfore can send researchers for secondments as well as act as hosts for secondees. Their representatives form Project Management Committee that oversees Project implementation. They are supported by Associated Partners (AP), who can act as hosts. University of Wolverhampton is a special Partner - although it formally belongs to AP, UoW posseses its own budget obtained from UKRI (UK Research and Innovation) and thus is also able to second its researchers.

Project coordinator

WUT

Warsaw University of Technology

Warsaw (PL)
  • Project management and coordination
  • Ethics requirements
  • Agent-based networked information overload models
  • Data mining methods
  • Strategies to mitigate information overload

Beneficiaries

WUST

Wroclaw University of Science and Technology

Wrocław (PL)
  • Collecting real-life data on information overload
  • Measuring emotion and affective states
BIU

Bar-Ilan University

Ramat Gan (IL)
  • Agent-based modelling
  • Neurophysiological measurements
  • Noise-to-signal ratios
MU

Modul University Gmbh

Vienna (AT)
  • Empirical analysis of fairness in information retrieval
  • Improving recommendation algorithms
  • Analysis of socio-psychological findings in modelling of choices
STA

Slovenian Press Agency

Ljubljana (SLO)
  • Practical use of results in news handling
  • Project results dissemination
  • Contribution to developing a debiased news story recommendation tool
GESIS

Lebiniz Institute for the Social Sciences

Cologne (DE)
  • Integration of various metrics and scientometrics into the recommendation and filtering process
TECH

Technion – Israel Institute of Technology

Haifa (IL)
  • Examining neural mechanisms and brain dynamics related to information overload

Associated partners

UoW

University of Wolverhampton

Wolverhampton (GB)
  • Creating an interactive document and data set search engine
  • Developing its sentiment analysis software
NTU

Nanyang Technological University

Singapore (SG)
  • Sentiment analysis and emotion recognition
RPI

Rensselaer Polytechnic Institute

Troy, NY (USA)
  • Data-driven and analytical modeling of multiscale IOL
  • Feedback in model formulation
TITECH

Tokyo Institute of Technology

Tokyo (JP)
  • Providing a multicultural dimension and global perspective to the analysis of cognitive and psyschological capacities related to information overload
UND

University of Notre Dame

Notre Dame, IN (USA)
  • Processing of physiological signals from wearables
  • Large-scale data studies
  • Commercialization and gesign of computing research processes
UNH

University of New Hampshire

Durham, NH (USA)
  • Intersection of information retrieval
  • Semantic annotations and machine learning
APA

APA Informations Technologie

Vienna (AT)
  • Automatic categorisation and classification of content
  • Entity and face recognition
  • Article recognition
  • Automatic summarization and clustering
PITT

University of Pittsburgh

Pittsburgh, PA (USA)
  • Constructing user profiles
  • Computing personalised information visualisation and exploration tools
UCa

University of Cambridge

Cambridge (UK)
  • Information overload in genetics
BUAA

Beihang University

Beijing (CN)
  • Information spread using Weiboo and Twitter datasets
JSU

Jiangsu University

Zhenjiang (CN)
  • Textual and topic data
  • Parellel computing
USC

University of Southern California

Los Angeles, CA (USA)
  • Models of emotions
  • Information flow in social networks
UCD

University of California Davis

Davis, CA (USA)
  • Percolation theory
  • Information cascades in complex networks
UTS

University of Technology Sydney

Sydney (AU)
  • Spreading processes
  • Hawkes processes
ZeA

Zeta Alpha Vector B.V.

Amsterdam (NL)
  • Solutions for information discovery
  • Genrative AI applications