• in progress

    COSEAL - Configuration and Selection of Algorithms

    The COSEAL research group is an international consortium of researchers from all over the world (e.g. Belgium, Canada, Ireland, Denmark and Germany) which addresses current challenges from Algorithm Selection, Algorithm Configuration and Machine Learning.


    Project status in progress
    Project time 01.02.2013- 01.01.2030
    Website http://www.coseal.net
    Keywords algorithm selection, configuration, machine learning

     

    DemoRESILdigital: Democratic resilience in times of online-propaganda, fake news, fear- and hate speech


    Project status in progress
    Project time 01.01.2018- 31.12.2022
    Website https://www.demoresildigital.uni-muenster.de/
    Funding source MKW - Förderlinie „Digitale Gesellschaft“ - Nachwuchsforschungsgruppe
    Project number 005-1709-0001
    Keywords Online-Propaganda; Fake news; Fear speech; Hate speech; Media effects; Resilience; Computational Social Science; Communication Science; Digital Communication; Media Psychology; data science; information science

     

    Reduzierung des Moderationsaufwandes von Nutzer-Kommentaren mit Hilfe von Automatisierung durch textanalytische Methoden

    In recent years, a rapid increase in racist, political and religiously motivated hate commentary has led many newspaper editors to deactivate their online comment functions on their websites. While this is understandable from an economic point of view for the individual publishers, serious problems for the public discourse arise in view of restriction quotas of up to 50%. The MODERAT! project aims to use an integrative and interdisciplinary approach to develop software tools and a web platform that will enable operators to moderate web debates with significantly less effort. Comments are analyzed automatically, so that only a small number of critical comments have to be viewed manually. In this way, media houses and publishers should be able to offer web debates again on their own websites and thus enter into a more active exchange with the readership.


    Project status in progress
    Project time 07.02.2019- 01.03.2022
    Website https://www.moderat.nrw/
    Funding source MKW - EFRE-Wettbewerb Neue Leitmärkte - CreateMedia.NRW
    Project number EFRE-0801431
    Keywords Information Systems; Information Management

     

    Joint research project: Identifying, verifying, and stopping concealed propaganda attacks via online media - Sub-Project: Coordination of simulation, identification, and defense against concealed propaganda attacks

    This project addresses the identification and verification of (semi-)automated concealed propaganda in online media (e.g. in social networks) as an interdisciplinary approach.


    Project status in progress
    Project time 01.06.2016- 30.11.2019
    Website http://www.propstop.de
    Funding source Federal Ministry of Education and Research
    Project number 16KIS0495K
    Keywords Information Systems, Social Media, Propaganda, Public Opinion, Web

     

    Instance-Based Algorithm Selection of Inexact TSP solvers

    The Travelling Salesperson Problem (TSP) is arguably the most prominent NP-hard combinatorial optimisation problem. Given a set of n cities and pairwise distances between those, the objective in the TSP is to find the shortest round-trip or tour through all cities, i.e., a sequence in which every city is visited exactly once, the start and end cities are identical, and the total length of the tour is minimal. The Euclidean TSP has important applications, e.g., in the fabrication of printed circuit boards as well as in transportation and logistics. We aim at constructing an instance-based algorithm selection model in order to improve the current state-of-the-art solver.


    Project status in progress
    Project time 01.01.2017- 31.12.2018
    Funding source German Academic Exchange Service
    Project number 57314626
    Keywords Algorithm Selection; TSP; automated algorithm selection; inexact solvers; Information Systems; Statistics; Canada

     

  • definitely finished

    ERCIS Omni-Channel Lab - powered by Arvato

    The ERCIS Omni-Channel Lab, is a research project in collaboration with Arvato CRM Solutions. The Lab combines the academic research and teaching activities of ERCIS and Arvato’s practical experience of delivering tech-enabled Omni-Channel CRM solutions from 110 global locations for many of the world’s best-known brands. Its areas of investigation focus around ‘Processes’, ‘Data’ and ‘Analytics’.


    Project status definitely finished
    Project time 01.03.2016- 28.02.2019
    Website https://omni-channel.ercis.org/
    Funding source ARVATO direct services GmbH
    Keywords Customer Lifecycle; Omni-Channnel Processes; Omni-Channel Business; Customer Segmentation

     

    9th International Conference on Evolutionary Multi- Criterion Optimization, Münster 19. - 22.03.2017

    EMO 2017 is the 9th International Conference on Evolutionary Multi- Criterion Optimization, aiming to continue the success of previous EMO conferences. We will bring together both the EMO and the multiple criteria decision making (MCDM) communities and moreover focus on solving real-world problems in government, business and industry. The classical EMO format will be supplemented by an EMO competition.


    Project status definitely finished
    Project time 19.03.2017- 22.03.2017
    Website http://www.emo2017.org
    Funding source DFG - International Scientific Events
    Project number TR 891/9-1
    Keywords Evolutionary Multiobjective Optimization

     

    Hybridization of indicator-based metaheuristics with modern local search methods in multiobjective optimization

    The project realizes international expertise exchange between German and Mexican researchers in the context of hybrid evolutionary multi-objective optimization. A special focus lies on integrating local search into state-of-the-art meta-heuristics like SMS-EMOA and dP-EMOA.


    Project status definitely finished
    Project time 01.01.2014- 31.12.2015
    Funding source German Academic Exchange Service
    Project number 57065955
    Keywords Computer Science, Evolutionary Multi-Objective Optimization, Local Search, Hybridization

     

    Addressing Current Challenges in Evolutionary Multi-Objective Optimization: Indicator-based Selection, Convergence and Applicability

    This project aims to initiate and intensify bi-lateral collaboration of researchers from Brazil and Germany under the umbrella of current research topics in the domain of evolutionary multi-objective optimization.


    Project status definitely finished
    Project time 01.01.2014- 31.12.2014
    Funding source DFG - Initiation of International Collaboration
    Project number TR 891/7-1
    Keywords Evolutionary Multi-Objective Optimization; Indicator-based Selection