Posters & Madness Talks

Posters

  • Testing the “ortholog conjecture” with phylogenetic and pairwise methods under realistic simulations of evolution after duplication, and after fish whole genome duplication Tina Begum, Martha Liliana Serrano-Serrano and Marc Robinson-Rechavi
  • RENKU: Enabling Reproducible, Shareable, Trustable and Collaborative Data Science Pamela Delgado
  • Stoic Self-Tracking: Towards a Stoic Technology of the Self as an App Katleen Gabriels and Richard Volkman
  • The challenges of annotation and integration of scRNA-Seq into Bgee Sara Fonseca Costa, Anne Niknejad, Frederic Bastian and Marc Robinson-Rechavi
  • iFair: Learning Individually Fair Data Representations for Algorithmic Decision Making Preethi Lahoti, Krishna P. Gummadi and Gerhard Weikum
  • Handling human-interpreted data: observations from the music domain Cynthia C. S. Liem
  • Architectural Challenges in Designing Big Data Solutions in Support of Laser-Plasma Interaction Experimental Investigations. Implementations, Challenges and Future Prospects Andreea Mihailescu
  • A privacy-aware architecture for big data against childhood obesity Hong-Ngoc Tran, Thien-An Nguyen, Tahar Kechadi
  • EthExplorer: A Tool for Forensic Analysis of the Ethereum blockchain Yuriy Marchenko and Katinka Wolter

Madness talks

  • Woman of Legal Tech 2018 Petra Arends-Paltzer
  • Computer assistance for intensive and emergency medicine Anca-Nicoleta Ciubotaru
  • Topology meets neuroscience Daniela Egas Santander
  • Human-Computer Interaction in Times of Ubiquitous Computing and Big Data Anja Exler
  • Digital diversity deliberations: Hiring with Artificial Intelligence Jamie L. Gloor and Gwendolin B. Sajons
  • The Regulation of Social Media Influencers Catalina Goanta
  • Collaborative Data-intensive Decision Making Fatemeh Golpayegani
  • Privacy-Preserving Data Analytics for Industrial IoT Maëlle Kabir-Querrec
  • Interpreting the social since 1838 Lisa Kressin
  • Observing the Sun in the age of Big Data Erica Lastufka and Säm Krucker
  • Will Big Data help understanding Low Back Pain? Anita Meinke
  • A "trickle-up" approach to improving university science education: evaluation of a professional development course for graduate students Sara Petchey
  • Privacy-Enhancing Technologies for Mobile Applications and Services Anh Pham
  • Back to the Future: Waves of Legal Scholarship on Artificial Intelligence Catalina Goanta, Constanta Rosca, Gijs van Dijck and Gerasimos Spanakis
  • Text Computing for the Study of Language Tanja Samardžić
  • Big Data or Big Brother? Big Data Control Practices and Employee Trust Isabelle Wildhaber and Isabel Ebert
  • Classification with Noisy Labeled Data Using Active Learning Taraneh Younesian