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@Inproceedings { 2023_lohmoeller_transparency,
   title = {Poster: Bridging Trust Gaps: Data Usage Transparency in Federated Data Ecosystems},
   year = {2023},
   month = {11},
   day = {27},
   keywords = {data usage control; data ecosystems; transparency logs},
   url = {https://www.comsys.rwth-aachen.de/fileadmin/papers/2023/2023-lohmoeller-transparency.pdf},
   publisher = {ACM},
   booktitle = {Proceedings of the 2023 ACM SIGSAC Conference on
Computer and Communications Security (CCS ’23), November 26-30, 2023, Copenhagen, Denmark},
   event_place = {Copenhagen, Denmark},
   event_date = {November 26-30, 2023},
   ISBN = {979-8-4007-0050-7/23/11},
   DOI = {10.1145/3576915.3624371},
   reviewed = {1},
   author = {Lohm{\"o}ller, Johannes and Vlad, Eduard and Dahlmanns, Markus and Wehrle, Klaus}
}

@Inproceedings { 2023_pennekamp_benchmarking_comparison,
   title = {Designing Secure and Privacy-Preserving Information Systems for Industry Benchmarking},
   year = {2023},
   month = {6},
   day = {15},
   volume = {13901},
   pages = {489-505},
   abstract = {Benchmarking is an essential tool for industrial organizations to identify potentials that allows them to improve their competitive position through operational and strategic means. However, the handling of sensitive information, in terms of (i) internal company data and (ii) the underlying algorithm to compute the benchmark, demands strict (technical) confidentiality guarantees—an aspect that existing approaches fail to address adequately. Still, advances in private computing provide us with building blocks to reliably secure even complex computations and their inputs, as present in industry benchmarks. In this paper, we thus compare two promising and fundamentally different concepts (hardware- and software-based) to realize privacy-preserving benchmarks. Thereby, we provide detailed insights into the concept-specific benefits. Our evaluation of two real-world use cases from different industries underlines that realizing and deploying secure information systems for industry benchmarking is possible with today's building blocks from private computing.},
   note = {Lecture Notes in Computer Science (LNCS), Volume 13901},
   keywords = {real-world computing; trusted execution environments; homomorphic encryption; key performance indicators; benchmarking},
   tags = {internet-of-production},
   url = {https://jpennekamp.de/wp-content/papercite-data/pdf/plv+23.pdf},
   publisher = {Springer},
   booktitle = {Proceedings of the 35th International Conference on Advanced Information Systems Engineering (CAiSE '23), June 12-16, 2023, Zaragoza, Spain},
   event_place = {Zaragoza, Spain},
   event_name = {35th International Conference on Advanced Information Systems Engineering (CAiSE '23)},
   event_date = {June 12-16, 2023},
   ISBN = {978-3-031-34559-3},
   ISSN = {0302-9743},
   DOI = {10.1007/978-3-031-34560-9_29},
   reviewed = {1},
   author = {Pennekamp, Jan and Lohm{\"o}ller, Johannes and Vlad, Eduard and Loos, Joscha and Rodemann, Niklas and Sapel, Patrick and Fink, Ina Berenice and Schmitz, Seth and Hopmann, Christian and Jarke, Matthias and Schuh, G{\"u}nther and Wehrle, Klaus and Henze, Martin}
}

@Article { 2023-circres-wu-comp-ecosystem,
   title = {Use of Computation Ecosystems to Analyze the Kidney-Heart Crosstalk},
   journal = {Circulation research},
   year = {2023},
   month = {4},
   day = {14},
   volume = {132},
   number = {8},
   pages = {1084-1100},
   abstract = {The identification of mediators for physiologic processes, correlation of molecular processes, or even pathophysiological processes within a single organ such as the kidney or heart has been extensively studied to answer specific research questions using organ-centered approaches in the past 50 years. However, it has become evident that these approaches do not adequately complement each other and display a distorted single-disease progression, lacking holistic multilevel/multidimensional correlations. Holistic approaches have become increasingly significant in understanding and uncovering high dimensional interactions and molecular overlaps between different organ systems in the pathophysiology of multimorbid and systemic diseases like cardiorenal syndrome because of pathological heart-kidney crosstalk. Holistic approaches to unraveling multimorbid diseases are based on the integration, merging, and correlation of extensive, heterogeneous, and multidimensional data from different data sources, both -omics and nonomics databases. These approaches aimed at generating viable and translatable disease models using mathematical, statistical, and computational tools, thereby creating first computational ecosystems. As part of these computational ecosystems, systems medicine solutions focus on the analysis of -omics data in single-organ diseases. However, the data–scientific requirements to address the complexity of multimodality and multimorbidity reach far beyond what is currently available and require multiphased and cross-sectional approaches. These approaches break down complexity into small and comprehensible challenges. Such holistic computational ecosystems encompass data, methods, processes, and interdisciplinary knowledge to manage the complexity of multiorgan crosstalk. Therefore, this review summarizes the current knowledge of kidney-heart crosstalk, along with methods and opportunities that arise from the novel application of computational ecosystems providing a holistic analysis on the example of kidney-heart crosstalk.},
   keywords = {disease progression; ecosystem; heart; kidney; multimorbidity},
   tags = {coat-ers},
   misc2 = {Online},
   language = {en},
   DOI = {10.1161/CIRCRESAHA.123.321765},
   reviewed = {1},
   author = {Wu, Zhuojun and Lohm{\"o}ller, Johannes and Kuhl, Christiane and Wehrle, Klaus and Jankowski, Joachim}
}