Projects

© Raimond Spekking / CC BY-SA 4.0 (via Wikimedia Commons)

Research

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FEMOZ - Strengthening the Resilience of Rural Food Environments in the Context of Disaster Risk and Climate Change in MOZambique

Data Science
Food Security Nutrition Disaster Risk Management Upscaling ANN CNN Asset Wealth

The FEMOZ project aims at strengthening the resilience of rural food environments in the context of disaster risk and climate Change in Mozambique. The “Food Environment” mediates the interactions between consumers and markets and influences consumer’s decisions.

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Smart Advertising Deutsche Telekom AG

Data Science
Smart Advertising Adressable TV Television

Smart TV advertising is a key development option for the German and international advertising industry. Although the technical possibilities are already largely available and the broad mass of consumers are increasingly connected to corresponding infrastructures, there is still a great need for research into the business design and also the needs and benefits. The project aimed first to define which specific benefits of a smart advertising solution are relevant for advertisers and customers. In addition, suitable research designs were analyzed and developed, which will subsequently enable proof of these benefits.

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JoIE - Journalistic Information Extraction

Information Retrieval
Data Journalism Human-Computer-Interaction Information Extraction

The project Journalistic Information Extraction (JoIE) aims to address the problem of information extraction from unstructured sources, that are relevant for (data) journalism. Based on the two state-of-the-art tools Workbench and Fonduer, a solution is going to be developed that can handle the above-mentioned data sources and makes them usable for journalism by putting them into a structured and thus analyzable form.

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PREFECT - Development and evaluation of prediction models for the probability of famine catastrophes using data analytics techniques

Data Science
Food Security Nutrition Disaster Management Predictive Modeling

This project aims at increasing the lead time prior to famine catastrophes, and thus supporting aid organizations in consistent and sustainable planning of countermeasures, by developing a mathematical prediction model that is able to compute the probability of a famine catastrophe by learning from data.

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ESUPOL - Einfluss von Suchmaschinen auf die politische Meinungsbildung

Information Retrieval Natural Language Processing
Digital Societies Computers and Society Ranking

In this project, the question of how search engines can influence political opinion-forming and political issues is to be addressed, and what influence factors such as 'filter bubbles', collaborative filtering and the lack of users' search or media competence have on these processes.

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STELLA - Infrastructures for Living Labs

Information Retrieval
Recommendation Services Evaluation Online Evaluation e-Research

The STELLA project aims to create an evaluation infrastructure that allows to evaluate search and recommendation services within productive web-based search systems with real users. STELLA provides an integrated e-Research environment that allows researchers in the field of information retrieval and recommendation services to conduct studies with real users in real environments. The experimental set-ups differ considerably from classical TREC studies, which can only be carried out offline, or also from user studies, which only allow laboratory experiments, and thus enable researchers to use an evaluation method that was previously reserved only for industrial research or the operators of large online platforms.

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XR in DE - Cross Reality Branche in Deutschland

Data Science
Cross Reality

Virtual, Mixed and Augmented Reality (XR or Cross Reality for short) are different ways of combining reality and virtuality. In Virtual Reality, users move completely in the virtual. Here the immersion is complete. Augmented Reality enriches the real environment with virtual elements. In Mixed Reality, the real and virtual worlds become more mixed and blurred. More than one thousand companies are involved in XR in Germany and thus form the XR industry. The study “Cross Reality in Germany 2020” is the first nationwide study on the structure, potential and needs of these players, following two studies with an analysis focus on NRW in the past.

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PRIOR - PRepublicatIOn Radar

Information Retrieval
Science Journalism Information Extraction Semi-structured Documents Google

PRIOR, the PRepublicatIOn Radar, will be an integrated tool for science journalists to keep up with the latest scientific research in important domains of knowledge. It will enable them to detect and filter potentially interesting studies in a diverse set of scientific journals. The challenge is to deal with unstructured and heterogeneous incoming information types. PRIOR will extract, harmonize and process new embargoed research publications to allow searching, browsing and filtering. The prototype will work with two modules: a data extraction and harmonization framework as well as a web-based user interface to find new and filter relevant scientific publications.

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Smart Harvesting II

Information Retrieval
Web Scraping Digital Library DBLP

In the project “Smart Harvesting II”, software-based solutions for the collection and processing of bibliographic data from the web are developed. We would like to develop a 'smart' set of tools and workflows to allow non-programmers to build a rich set of web scrapers to build online bibliographies out of freely available web resources.

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Search and Indexing for DLR.de

Information Retrieval Natural Language Processing

In the project Search and Indexing DLR.de, a new indexing concept for the German Aerospace Center (DLR) is developed.

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