Photo credit: Anna Logue

Third-Party-Funded Research Projects

SFB 884: Political Economy of Reforms

Our society faces great economic and social challenges. There is widespread consensus that reforms are necessary to cope with these challenges. Yet, we experience that reform initiatives are frequently delayed, compromised, or fail altogether. The multidisciplinary SFB 884 aims to provide scientific insights into success and failure of political reforms, determined by competing interests (Project Group A), contexts (Project Group B) and the political process of reform-making (Project Group C). As the core infrastructure, a data center will collect new data on these three dimensions. The DWS Group participates in the second phase of the SFB actively contributing to Project C4 “Measuring a common space and the dynamics of reform positions” and Z1 “Political Text Analysis Network”.

Duration: 2014 - 2021
Overall Budget: 10M EUR overall (500.000 EUR for our group)
Funded by: German Science Foundation (DFG)
Partners: School of Social Sciences and Department of Economics

JOIN-T (Joining Ontologies and semantics INduced from Text)

In this JOIN-T project with the Language Technology Group of TU Darmstadt we aim at delivering new kinds of knowledge bases combining ontological information from large-scale knowledge bases (like Freebase, YAGO or DBpedia) with distributional semantic information encoded within large (i.e. web-scale) amounts of text.

 

Project duration: 2015 - 2018 (Phase 1) 2019 - 2021 (Phase 2)
Overall budget: 1M EUR (budget Mannheim: ~500.000 EUR)
Funded by: Deutsche Forschungs­gemeinschaft (DFG)

Knowledge Consolidation and Organization for Query-specific Wikipedia Construction

The goal of the research project is to make information on the Web accessible in a Wikipedia-like form through a query-driven interaction paradigm. This research requires a combination of methods from information retrieval and automatic text understanding to provide the user with a synthesis of the information through summarization, sub-topic identification, and article organization.

Project duration: 2016 - 2019
Budget: 110.000 EUR
Funded by: Elite program for Post-Docs of the BW-Stiftung 

Data Search for Data Mining (DS4DM)

As more and more data is available on Web or in the corporate intranets, it is getting increasingly difficult for analysts to find all relevant data for a mining project. The Data Search for Data Mining (DS4DM) project will help anlaysts to find and integrate relevant data by extending the Rapdiminer data mining plattform with data search and data integration features.

Project duration: 2015 - 2018
Overall budget: 400.000 EUR (budget Mannheim: 200.000 EUR)
Funded by: Federal Ministry of Education and Research (BMBF)
Industry partner: Rapidminer GmbH

ExpLAIN - Between the lines - Knowledge-enhanced Argument Analysis in a Formal Argumentation Reasoning System

The EXPLAIN project investigates methods to computationally analyze and validate arguments in order to

  • complement the overtly expressed argument with automatically acquired knowledge that provides missing explanatory links,
  • construct a formal, knowledge-enhanced analysis of the argument, and on this basis
  • establish and verify the extended argument structure using a combination of machine learning and formal reasoning. 

The project is part of the DFG-funded priority program  Robust Argumentation Machines (RATIO).

Project duration: 2018-2021

Funded by: German Science Foundation (DFG)

Partners: Chair of Computational Linguistics, Heidelberg University.