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Report on the Dagstuhl Seminar on Frontiers of Information Access Experimentation for Research and Education

Bauer, Christine (author), Carterette, Ben (author), Ferro, Nicola (author), Fuhr, Norbert (author), Beel, Joeran (author), Breuer, Timo (author), Clarke, Charles L. A. (author), Dietz, Laura (author), Urbano, Julián (author)

This report documents the program and the outcomes of Dagstuhl Seminar 23031 "Frontiers of Information Access Experimentation for Research and Education", which brought together 38 participants from 12 countries. The seminar addressed technology-enhanced information access (information retrieval, recommender systems, natural language processing)...

journal article 2023

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The 2021 German Federal Election on Social Media: Analysing Electoral Risks Created by Twitter and Facebook

Kübler, Johanne (author), Sekwenz, M.T. (author), Rachinger, Felicitas (author), König, Anna (author), Gsenger, Rita (author), Pírková, Eliška (author), Wagner, Ben (author), Kettemann, Matthias C. (author), Krennerich, Michael (author), Ferro, Carolina (author)

Safeguarding democratic elections is hard. Social media plays a vital role in the discourse around elections and during electoral campaigns. The following article provides an analysis of the 'systemic electoral risks' created by Twitter and Facebook and the mitigation strategies employed by the platforms. It is based on the 2020 proposal by...

conference paper 2023

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The 2021 German Federal Election on Social Media: Analysing Electoral Risks Created by Twitter and Facebook

Kübler, Johanne (author), Sekwenz, M.T. (author), Rachinger, Felicitas (author), König, Anna (author), Gsenger, Rita (author), Pirkova, Eliska (author), Kettemann, Matthias C. (author), Wagner, Ben (author), Krennerich, Michael (author), Ferro, Carolina (author)

Safeguarding democratic elections is hard. Social media plays a vital role in the discourse around elections and during electoral campaigns. The following article provides an analysis of the ‘systemic electoral risks’ created by Twitter and Facebook and the mitigation strategies employed by the platforms. It is based on the 2020 proposal by the...

conference paper 2023

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Structural and functional insight into regulation of kinesin-1 by microtubule-associated protein MAP7

Ferro, Luke S. (author), Fang, Qianglin (author), Eshun-Wilson, Lisa (author), Fernandes, Jonathan (author), Jack, Amanda (author), Farrell, Daniel P. (author), Golcuk, Mert (author), Huijben, T.A.P.M. (author), Costa, Katelyn (author)

Microtubule (MT)-associated protein 7 (MAP7) is a required cofactor for kinesin-1-driven transport of intracellular cargoes. Using cryo-electron microscopy and single-molecule imaging, we investigated how MAP7 binds MTs and facilitates kinesin-1 motility. The MT-binding domain (MTBD) of MAP7 bound MTs as an extended a helix between the...

journal article 2022

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OpenDR: An Open Toolkit for Enabling High Performance, Low Footprint Deep Learning for Robotics

Passalis, N. (author), Pedrazzi, S. (author), Babuska, R. (author), Burgard, W. (author), Ferro, F. (author), Gabbouj, M. (author), Kayacan, E. (author), Kober, J. (author), Pieters, RRGM (author), Valada, A. (author)

Existing Deep Learning (DL) frameworks typically do not provide ready-to-use solutions for robotics, where very specific learning, reasoning, and embodiment problems exist. Their relatively steep learning curve and the different methodologies employed by DL compared to traditional approaches, along with the high complexity of DL models, which...

conference paper 2022

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Efficient Carrier Multiplication in Low Band Gap Mixed Sn/Pb Halide Perovskites

Maiti, S. (author), Ferro, Silvia (author), Poonia, D. (author), Ehrler, Bruno (author), Kinge, S.S. (author), Siebbeles, L.D.A. (author)

Carrier multiplication (CM) generates multiple electron-hole pairs in a semiconductor from a single absorbed photon with energy exceeding twice the band gap. Thus, CM provides a promising way to circumvent the Shockley-Queisser limit of solar cells. The ideal material for CM should have significant overlap with the solar spectrum and should...

journal article 2020

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Change in Tetracene Polymorphism Facilitates Triplet Transfer in Singlet Fission-Sensitized Silicon Solar Cells

Daiber, Benjamin (author), Maiti, S. (author), Ferro, Silvia M. (author), Bodin, Joris (author), van den Boom, Alyssa F.J. (author), Luxembourg, Stefan L. (author), Kinge, Sachin (author), Pujari, Sidharam P. (author), Siebbeles, L.D.A. (author)

Singlet fission in tetracene generates two triplet excitons per absorbed photon. If these triplet excitons can be effectively transferred into silicon (Si), then additional photocurrent can be generated from photons above the bandgap of Si. This could alleviate the thermalization loss and increase the efficiency of conventional Si solar cells...

journal article 2020

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The SIGIR 2019 open-source IR replicability challenge (OSIRRC 2019)

Clancy, Ryan (author), Ferro, Nicola (author), Hauff, C. (author), Lin, Jimmy (author), Sakai, Tetsuya (author), Wu, Ze Zhong (author)

conference paper 2019

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From Evaluating to Forecasting Performance: How to Turn Information Retrieval, Natural Language Processing and Recommender Systems into Predictive Sciences (Dagstuhl Perspectives Workshop 17442)

Ferro, Nicola (author), Fuhr, Norbert (author), Grefenstette, Gregory (author), Kuflik, Tsvi (author), Lindén, Krister (author), Magnini, Bernardo (author), Nie, Jian-Yun (author), Perego, Raffaele (author), Tintarev, N. (author)

We describe the state-of-the-art in performance modeling and prediction for Information Retrieval (IR), Natural Language Processing (NLP) and Recommender Systems (RecSys) along with its shortcomings and strengths. We present a framework for further research, identifying five major problem areas: understanding measures, performance analysis,...

journal article 2019

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Overview of the 2019 open-source IR replicability challenge (OSIRRC 2019)

Clancy, Ryan (author), Ferro, Nicola (author), Hauff, C. (author), Lin, Jimmy (author), Sakai, Tetsuya (author), Wu, Ze Zhong (author)

The Open-Source IR Replicability Challenge (OSIRRC 2019), organized as a workshop at SIGIR 2019, aims to improve the replicability of ad hoc retrieval experiments in information retrieval by gathering a community of researchers to jointly develop a common Docker specification and build Docker images that encapsulate a diversity of systems and...

conference paper 2019

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The Dagstuhl Perspectives Workshop on Performance Modeling and Prediction

Ferro, Nicola (author), Fuhr, Norbert (author), Grefenstette, Gregory (author), Konstan, Joseph A. (author), Castells, Pablo (author), Daly, Elizabeth M. (author), Declerck, Thierry (author), Ekstrand, Michael D. (author), Tintarev, N. (author)

This paper reports the findings of the Dagstuhl Perspectives Workshop 17442 on performance modeling and prediction in the domains of Information Retrieval, Natural language Processing and Recommender Systems. We present a framework for further research, which identifies five major problem areas: understanding measures, performance analysis,...

journal article 2018

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Open data infrastructures

Charalabidis, Yannis (author), Alexopoulos, Charalampos (author), Janssen, M.F.W.H.A. (author), Lampoltshammer, Thomas (author), Ferro, Enrico (author)

Data represents a key asset in virtually any aspect of society and economy. Open Data in particular represents a source of immense value, as social capital (Lampoltshammer & Scholz, 2017) as well as an asset for business cases. Governments and their public administrations are generating and collecting during their service a plethora of...

book chapter 2018

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Open data value and business models