• definitely finished

    Al, human rights and ethics: platform regulation and data protection (in context of the IVAC - International Virtual Academic Collaboration)

    Project status definitely finished
    Project time 01.10.2021- 30.09.2022
    Website https://algorithmization.org/?page_id=578
    Funding source DAAD - International Virtual Academic Collaboration
    Project number 57599237
    Keywords DAAD; Information Systems; Law; Economics; interdisciplinary


    Reducing the moderation effort of user comments with the help of automation using text analytical methods (MODERAT!)

    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 definitely finished
    Project time 07.02.2019- 31.01.2022
    Website https://www.moderat.nrw/
    Funding source MKW - EFRE-Wettbewerb Neue Leitmärkte - CreateMedia.NRW
    Project number EFRE-0801431
    Keywords Information Systems; Information Management


    Algorithmization and Social Interaction

    Imagine you call a company and your request is no longer answered by a human being but by an artificial assistant - how does this affect you as an individual and society at large? And does the customization of information in social media and online environments limit our horizon, or even keeps us in a ‚filter bubble‘? These are just a few of the socially and politically relevant core questions of the interdisciplinary topical program „Algorithmization and Social Interaction“. Scholars from information systems, economy, social sciences, law and communication studies work together to explore, first, how (artificially intelligent) algorithms can be used to influence social interaction. Second, the topical program is interested in how society (including the public as well as political and societal elites) reacts to this increasing algorithmic governance.

    Project status definitely finished
    Project time 01.10.2020- 31.12.2021
    Website http://algorithmization.org
    Funding source Uni Münster-internal funding - Topical Programs
    Keywords Algorithmization; Artificial Intelligence; Society; (Social) Media; Data Science; Data Analytics


    Detection & Analysis of Social Bots in 2021

    Project status definitely finished
    Project time 01.07.2021- 30.11.2021
    Funding source Federal Office for Information Security
    Keywords Social Media; Social Bots; technology


    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 definitely finished
    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


    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


    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 definitely finished
    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


    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 Participation / conference fees
    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


  • 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


    Joint Research Project: Real-time detection and analysis of hybrid disinformation campaigns in online media (HybriD)

    Project status in progress
    Project time 01.10.2021- 30.09.2024
    Website https://www.forschung-it-sicherheit-kommunikationssysteme.de/projekte/hybrid
    Funding source Federal Ministry of Education and Research
    Project number 16KIS1531K
    Keywords online media; disinformation campaigns


    Benchmarking Network

    The Benchmarking Network is an initiative that has emerged in summer 2019, with the idea to consolidate and to stimulate activities on benchmarking iterative optimization heuristics such as local search algorithms, swarm intelligence techniques, model- and/or surrogate-based heuristics, etc - in short, all algorithms that work by a sequential evaluation of solution candidates.

    Project status in progress
    Project time since 01.12.2019
    Website https://sites.google.com/view/benchmarking-network
    Keywords Benchmarking; Optimization; Machine Learning; Research Network


    ERCIS Social Media Analytics Competence Center

    The Social Media Analytics Competence Center (SMA CC) emerged from the funded BMBF project PropStop and comprises all partners of this consortium. In the meantime, the initial idea of Propstop (addressing the detection of automatically generated propaganda in online media) has become a major issue in societal and scientific discussion. This competence center aims at reaching beyond the boundaries of PropStop and etstablishes a community of researchers and practitioners to address the topics of Disinformation, Propaganda, and Manipulation via Online Media in a multidisciplinary approach.

    Project status in progress
    Project time since 01.08.2018
    Website https://sma.ercis.org/
    Keywords Social Media Analytics; Social Media; Propaganda; Data Analytics; Social Bots