definitely finished


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

Project status definitely finished
Project time 01.01.2018- 31.03.2023
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

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
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
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

Visualization and Analysis of Textual Stream Clustering Data for the Detection of Manipulative Campaigns in Social Media

The goal of the research project is to develop a dashboard that displays data from social media. Its purpose is to visually detect anomalies in order to observe and research the emergence or behavior of artificially generated campaigns. The long-term goal should be to detect politically motivated attempts to influence discussion on Social Media and to understand their spread. Examples of events whose course could be observed by using the dashboard are, for example, elections or the discussion of the new Coronavirus. In both examples, the targeted influencing of opinions is harmful to the society as a whole.

Project status definitely finished
Project time 01.05.2020- 30.04.2021
Keywords Dashboard; Social Media; Campaign; Manipulation

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
Funding source Federal Ministry of Education and Research
Project number 16KIS0495K
Keywords Information Systems; Social Media; Propaganda; Public Opinion; Web

Using Evolutionary Algorithms for Diversity Optimization

This project is one of the STSMs (Short Term Scientific Missions) of the COST (European Cooperation in Science and Technology) Action CA15140 on "Improving Applicability of Nature-Inspired Optimisation by Joining Theory and Practice (ImAppNIO)", which aims at bridging the gap between theory and practice of nature inspired optimization algorithms.

Project status definitely finished
Project time 16.02.2019- 03.03.2019
Keywords Evolutionary Algorithms; Diversity Optimization; Multi-Objective Optimization; Traveling Salesperson Problem

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
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
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

Google Summer of Code 2015: Improving mlr's hyperparameter and tuning system for efficient model selection

This "Google Summer of Code 2015" project aims at enriching mlr's hyperparamter system with a-priori knowledge. The goal of the project is to make the hyperparameter configuration and tuning more flexible, efficient and convenient.

Project status definitely finished
Project time 27.04.2015- 31.08.2015
Keywords R; machine learning; algorithm configuration; parameter tuning; optimization

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

Structural optimization of distributed energy supply systems - applied to chemical parks

The project aimed at setting up a method for structural optimization that enables the planning engineer to design a distributed energy supply system of near-optimal quality.

Project status definitely finished
Project time 01.06.2010- 31.08.2013
Keywords Optimization; Energy Supply Systems; MINLP; Multi-criterial Optimization

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
Keywords algorithm selection; configuration; machine learning

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
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
Keywords Social Media Analytics; Social Media; Propaganda; Data Analytics; Social Bots

Architectures for Evolutionary Multi-Objective Algorithms to support User Expertise Integration

This project strives to analyze existing algorithm architectures and design new structures such that integration of expertise becomes seamlessly possible. Users should be free of the need to redesign or deeply understand the general algorithms structure.

Project status in progress
Project time since 01.09.2014
Keywords Computer Science; Algorithm Research; Application; Multi-Objective Optimization; Computational Intelligence