Publication
Towards reproducible software studies with MAO and Renku
Related publications (32)
incentive Mechanism Design for Responsible Data Governance: A Large-Scale Field Experiment
A crucial building block of responsible artificial intelligence is responsible data governance, including data collection. Its importance is also underlined in the latest EU regulations. The data should be of high quality, foremost correct and representati ...
2023A Practical Influence Approximation for Privacy-Preserving Data Filtering in Federated Learning
Boi Faltings, Ljubomir Rokvic, Panayiotis Danassis
Federated Learning by nature is susceptible to low-quality, corrupted, or even malicious data that can severely degrade the quality of the learned model. Traditional techniques for data valuation cannot be applied as the data is never revealed. We present ...
2023Gender, prior knowledge, and the impact of a flipped linear algebra course for engineers over multiple years
Simone Deparis, Roland John Tormey, Cécile Hardebolle, Himanshu Verma
Background Research shows that active pedagogies could play an important role in achieving more equitable outcomes for diverse groups of students in Science, Technology, Engineering, and Mathematics (STEM). Although flipped classes are a popular active met ...
2022Budget-Bounded Incentives for Federated Learning
Boi Faltings, Aris Filos Ratsikas, Adam Julian Richardson
We consider federated learning settings with independent, self-interested participants. As all contributions are made privately, participants may be tempted to free-ride and provide redundant or low-quality data while still enjoying the benefits of the FL ...
Springer Nature Switzerland AG 20202022QUAREP-LiMi: A community-driven initiative to establish guidelines for quality assessment and reproducibility for instruments and images in light microscopy
Arne Seitz, Andrea Bassi, Antje Keppler
A modern day light microscope has evolved from a tool devoted to making primarily empirical observations to what is now a sophisticated , quantitative device that is an integral part of both physical and life science research. Nowadays, microscopes are fou ...
WILEY2021Truthful, Transparent and Fair Data Collection Mechanisms
An important prerequisite for developing trustworthy artificial intelligence is high quality data. Crowdsourcing has emerged as a popular method of data collection in the past few years. However, there is always a concern about the quality of the data thus ...
EPFL2020Motivating Innovation: The Effect of Loss Aversion on the Willingness to Persist
We investigate the willingness of individuals to persist at exploration in the face of failure. Prior research suggests that the organization's "tolerance for failure" may motivate greater exploration by the individual. Little is known, however, about how ...
MIT Press2020Reproducibility warning: The curious case of polyethylene glycol 6000 and spheroid cell culture
Francesco Stellacci, Quy Ong Khac, Ahmet Bekdemir, Zhi Luo
Reproducibility of results is essential for a well-designed and conducted experiment. Several reasons may originate failure in reproducing data, such as selective reporting, low statistical power, or poor analysis. In this study, we used PEG6000 samples fr ...
2020Institutions and Incentives in Knowledge Production and Diffusion: From Science to Innovation
This thesis presents four essays providing novel empirical and theoretical insights on the incentives and institutional structures that favor knowledge production and diffusion. The first two studies analyze these processes in the realm of scientific resea ...
EPFL2020Navigating the validity tradeoffs of entrepreneurship research experiments: A systematic review and best-practice suggestions
Experimental methods provide important advantages for advancing academic understanding of entrepreneurship. Yet, the complex and comingled relationships between some of entrepreneurship's key characteristics pose thorny methodological challenges to entrepr ...
ELSEVIER SCIENCE BV2019