Seminare und Dagstuhl-Perspektiven-Workshops 2023:



08. – 13. Januar 2023, Dagstuhl-Seminar 23021

Media Forensics and the Challenge of Big Data


Irene Amerini (Sapienza University of Rome, IT), Anderson Rocha (State University – Campinas, BR), Paul L. Rosin (Cardiff University, GB), Xianfang Sun (Cardiff University, GB)

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08. – 13. Januar 2023, Dagstuhl-Seminar 23022

Inverse Biophysical Modeling and Machine Learning in Personalized Oncology


George Biros (Univ. of Texas at Austin, US), Andreas Mang (University of Houston, US), Björn H. Menze (Universität Zürich, CH), Miriam Schulte (Universität Stuttgart, DE)

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15. – 20. Januar 2023, Dagstuhl-Seminar 23031

Frontiers of Information Access Experimentation for Research and Education


Christine Bauer (Utrecht University, NL), Ben Carterette (University of Delaware – Newark, US), Nicola Ferro (University of Padova, IT), Norbert Fuhr (Universität Duisburg-Essen, DE)

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22. – 27. Januar 2023, Dagstuhl-Seminar 23041

Integrated Rigorous Analysis in Cyber-Physical Systems Engineering


Erika Abraham (RWTH Aachen University, DE), Stefan Hallerstede (Aarhus University, DK), John Hatcliff (Kansas State University – Manhattan, US), Danielle Stewart (Adventium Labs – Minneapolis, US)

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22. – 25. Januar 2023, Dagstuhl-Seminar 23042

Quality of Sustainable Experience (QoSE)


Katrien De Moor (NTNU – Trondheim, NO), Markus Fiedler (Blekinge Institute of Technology – Karlshamn, SE), Ashok Jhunjhunwala (Indian Institute of Techology Madras, IN), Alexander Raake (TU Ilmenau, DE)

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29. Januar – 03. Februar 2023, Dagstuhl-Seminar 23051

Perception in Network Visualization


Karsten Klein (Universität Konstanz, DE), Stephen G. Kobourov (University of Arizona – Tucson, US), Bernice E. Rogowitz (Visual Perspectives – New York, US), Danielle Szafir (University of North Carolina at Chapel Hill, US)

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05. – 10. Februar 2023, Dagstuhl-Seminar 23061

Scheduling


Nicole Megow (Universität Bremen, DE), Benjamin J. Moseley (Carnegie Mellon University – Pittsburgh, US), David Shmoys (Cornell University – Ithaca, US), Ola Svensson (EPFL – Lausanne, CH), Sergei Vassilvitskii (Google – New York, US)

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05. – 10. Februar 2023, Dagstuhl-Seminar 23062

Programming Language Processing


Michael Pradel (Universität Stuttgart, DE), Baishakhi Ray (Columbia University – New York, US), Charles Sutton (Google – Mountain View, US), Eran Yahav (Technion – Haifa, IL)

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12. – 17. Februar 2023, Dagstuhl-Seminar 23071

From Big Data Theory to Big Data Practice


Martin Farach-Colton (Rutgers University – Piscataway, US), Fabian Daniel Kuhn (Universität Freiburg, DE), Ronitt Rubinfeld (MIT – Cambridge, US), Przemyslaw Uznanski (University of Wroclaw, PL)

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12. – 17. Februar 2023, Dagstuhl-Seminar 23072

Challenges and Perspectives in Deep Generative Modeling


Vincent Fortuin (University of Cambridge, GB), Yingzhen Li (Imperial College London, GB), Stephan Mandt (University of California – Irvine, US), Kevin Murphy (Google – Mountain View, US)

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19. – 24. Februar 2023, Dagstuhl-Seminar 23081

Agents on the Web


Olivier Boissier (Ecole des Mines – St. Etienne, FR), Andrei Ciortea (Universität St. Gallen, CH), Andreas Harth (Fraunhofer IIS – Nürnberg, DE), Alessandro Ricci (Università di Bologna, IT)

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19. – 24. Februar 2023, Dagstuhl-Seminar 23082

Resilient Software Configuration and Infrastructure Code Analysis


Jürgen Cito (TU Wien, AT), Ruzica Piskac (Yale University – New Haven, US), Mark Santolucito (Barnard College – New York, US), Andy Zaidman (TU Delft, NL), Yuanyuan Zhou (University of California – San Diego, US)

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26. Februar – 03. März 2023, Dagstuhl-Seminar 23091

Algorithmic Foundations of Programmable Matter


Aaron Becker (TU Braunschweig, DE), Sándor Fekete (TU Braunschweig, DE), Irina Kostitsyna (TU Eindhoven, NL), Matthew J. Patitz (University of Arkansas – Fayetteville, US), Damien Woods (Maynooth University, IE)

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26. Februar – 03. März 2023, Dagstuhl-Perspektive-Workshop 23092

A Human-Computer Interaction Perspective to Drive Change towards Sustainable Future


Nic Bidwell (IUM – Windhoek, NA), Susanne Boll (Universität Oldenburg, DE), Marc Hassenzahl (Universität Siegen, DE), Kaisa Väänänen (University of Tampere, FI)

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05. – 10. März 2023, Dagstuhl-Seminar 23101

Foundations of WebAssembly


Karthikeyan Bhargavan (INRIA – Paris, FR), Jonathan Protzenko (Microsoft – Redmond, US), Andreas Rossberg (München, DE), Deian Stefan (University of California – San Diego, US)

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12. – 17. März 2023, Dagstuhl-Seminar 23111

Computational Complexity of Discrete Problems


Anna Gál (University of Texas – Austin, US), Meena Mahajan (The Institute of Mathematical Sciences – Chennai, IN), Rahul Santhanam (University of Oxford, GB), Till Tantau (Universität zu Lübeck, DE)

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12. – 15. März 2023, Dagstuhl-Seminar 23112

Unifying Formal Methods for Trustworthy Distributed Systems


Swen Jacobs (CISPA – Saarbrücken, DE), Kenneth McMillan (University of Texas – Austin, US), Roopsha Samanta (Purdue University – West Lafayette, US), Ilya Sergey (National University of Singapore, SG)

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19. – 24. März 2023, Dagstuhl-Seminar 23121

Pattern Avoidance, Statistical Mechanics and Computational Complexity


David Bevan (University of Strathclyde – Glasgow, GB), Miklós Bóna (University of Florida – Gainesville, US), István Miklós (ELKH – Budapest, HU), Seth Pettie (University of Michigan – Ann Arbor, US)

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19. – 24. März 2023, Dagstuhl-Seminar 23122

Deep Continual Learning


Bing Liu (University of Illinois – Chicago, US), Vincenzo Lomonaco (University of Pisa, IT), Tinne Tuytelaars (KU Leuven, BE), Gido van de Ven (Baylor College of Medicine – Houston, US)

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26. – 31. März 2023, Dagstuhl-Seminar 23131

Software Bug Detection: Challenges and Synergies


Marcel Böhme (MPI-SP – Bochum, DE and Monash University – Melbourne, AU), Maria Christakis (TU Wien, AT), Rohan Padhye (Carnegie Mellon University – Pittsburgh, US), Kostya Serebryany (Google – Mountain View, US), Andreas Zeller (CISPA – Saarbrücken, DE)

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26. – 31. März 2023, Dagstuhl-Seminar 23132

AI-Augmented Facilities: Bridging Experiment and Simulation with ML


Peer-Timo Bremer (LLNL – Livermore, US), Michael Bussmann (Helmholtz-Zentrum Dresden-Rossendorf – Görlitz, DE), Tom Gibbs (NVIDIA Corp. – Santa Clara, US), Brian Spears (LLNL – Livermore, US)

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10. – 14. April 2023, Dagstuhl-Seminar 23151

Normative Reasoning for AI


Agata Ciabattoni (TU Wien, AT), John F. Horty (University of Maryland – College Park, US), Marija Slavkovik (University of Bergen, NO), Leon van der Torre (University of Luxembourg, LU)

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10. – 13. April 2023, Dagstuhl-Seminar 23152

Secure and Efficient Post-Quantum Cryptography in Hardware and Software


Thomas Pöppelmann (Infineon Technologies AG – Neubiberg, DE), Sujoy Sinha Roy (TU Graz, AT), Ingrid Verbauwhede (KU Leuven, BE)

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16. – 21. April 2023, Dagstuhl-Seminar 23161

Pushing the Limits of Computational Combinatorial Constructions


Lucia Moura (University of Ottawa, CA), Anamari Nakic (University of Zagreb, HR), Patric Östergård (Aalto University, FI), Alfred Wassermann (Universität Bayreuth, DE)

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16. – 21. April 2023, Dagstuhl-Seminar 23162

New Frontiers of Parameterized Complexity in Graph Drawing


Robert Ganian (TU Wien, AT), Fabrizio Montecchiani (University of Perugia, IT), Martin Nöllenburg (TU Wien, AT), Meirav Zehavi (Ben Gurion University – Beer Sheva, IL)

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23. – 28. April 2023, Dagstuhl-Seminar 23171

Driving HPC Operations With Holistic Monitoring and Operational Data Analytics


Florina M. Ciorba (Universität Basel, CH), Ann Gentile (Sandia National Labs – Albuquerque, US), Michael Ott (LRZ – München, DE), Torsten Wilde (HPE- Böblingen, DE)

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23. – 26. April 2023, Dagstuhl-Seminar 23172

Formal Methods for Correct Persistent Programming


Ori Lahav (Tel Aviv University, IL), Azalea Raad (Imperial College London, GB), Joseph Tassarotti (Boston College, US), Viktor Vafeiadis (MPI-SWS – Kaiserslautern, DE)

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01. – 05. Mai 2023, Dagstuhl-Seminar 23181

Empirical Evaluation of Secure Development Processes


Eric Bodden (Universität Paderborn, DE), Brendan Murphy (Microsoft Research – Cambridge, GB), Sam Weber (Carnegie Mellon University – Pittsburgh, US), Laurie Williams (North Carolina State University – Raleigh, US)

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01. – 04. Mai 2023, Dagstuhl-Seminar 23182

Lessons Learned From 40+ Years of the Internet


Jari Arkko (Ericsson – Jorvas, FI), Lars Eggert (NetApp Finland Oy, FI), David Oran (MIT – Cambridge, US), Jörg Ott (TU München, DE), Henning Schulzrinne (Columbia University – New York, US)

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07. – 12. Mai 2023, Dagstuhl-Seminar 23191

Universals of Linguistic Idiosyncrasy in Multilingual Computational Linguistics


Timothy Baldwin (MBZUAI – Abu Dhabi, AE), William Croft (University of New Mexico – Alburquerque, US), Joakim Nivre (Uppsala University, SE), Agata Savary (University Paris-Saclay – Orsay, FR)

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07. – 12. Mai 2023, Dagstuhl-Seminar 23192

Topological Data Analysis and Applications


Ulrich Bauer (TU München, DE), Vijay Natarajan (Indian Institute of Science – Bangalore, IN), Bei Wang Phillips (University of Utah – Salt Lake City, US)

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14. – 17. Mai 2023, Dagstuhl-Seminar 23202

Regular Transformations


Rajeev Alur (University of Pennsylvania – Philadelphia, US), Mikolaj Bojanczyk (University of Warsaw, PL), Emmanuel Filiot (UL – Brussels, BE), Anca Muscholl (University of Bordeaux, FR)

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21. – 26. Mai 2023, Dagstuhl-Seminar 23211

Scalable Data Structures


Gerth Stølting Brodal (Aarhus University, DK), John Iacono (UL – Brussels, BE), László Kozma (FU Berlin, DE), Vijaya Ramachandran (University of Texas – Austin, US)

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21. – 26. Mai 2023, Dagstuhl-Seminar 23212

Designing the Human-Machine Symbiosis


Ellen Yi-Luen Do (University of Colorado – Boulder, US), Kristina Höök (KTH Royal Institute of Technology – Stockholm, SE), Pattie Maes (MIT – Cambridge, US), Florian 'Floyd' Mueller (Monash University – Clayton, AU)

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29. Mai – 02. Juni 2023, Dagstuhl-Seminar 23221

Computational Geometry


Siu-Wing Cheng (HKUST – Kowloon, HK), Maarten Löffler (Utrecht University, NL and Tulane University – New Orleans, US), Jeff M. Phillips (University of Utah – Salt Lake City, US)

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29. Mai – 01. Juni 2023, Dagstuhl-Seminar 23222

Novel Scenarios for the Wireless Internet of Things


Kyle Jamieson (Princeton University, US), Longfei Shangguan (University of Pittsburgh, US), Xia Zhou (Columbia University – New York, US), Marco Zimmerling (Universität Freiburg, DE)

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11. – 16. Juni 2023, Dagstuhl-Seminar 23241

Scalable Analysis of Probabilistic Models and Programs


Sebastian Junges (Radboud University Nijmegen, NL), Joost-Pieter Katoen (RWTH Aachen, DE), Scott Sanner (University of Toronto, CA), Guy Van den Broeck (UCLA, US)

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11. – 16. Juni 2023, Dagstuhl-Seminar 23242

Privacy Protection of Automated and Self-Driving Vehicles


Frank Kargl (Universität Ulm, DE), Ioannis Krontiris (Huawei Technologies – München, DE), Jason Millar (University of Ottawa, CA), André Weimerskirch (Lear Corporation – Ann Arbor, US)

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18. – 23. Juni 2023, Dagstuhl-Seminar 23251

Challenges in Benchmarking Optimization Heuristics


Anne Auger (INRIA Saclay – Palaiseau, FR), Peter A. N. Bosman (CWI – Amsterdam, NL), Pascal Kerschke (TU Dresden, DE), Darrell Whitley (Colorado State University – Fort Collins, US)

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18. – 23. Juni 2023, Dagstuhl-Seminar 23252

Inclusive Data Visualization


Bongshin Lee (Microsoft – Redmond, US), Kim Marriott (Monash University – Caulfield, AU), Danielle Szafir (University of North Carolina at Chapel Hill, US), Gerhard Weber (TU Dresden, DE)

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25. – 30. Juni 2023, Dagstuhl-Seminar 23261

SAT Encodings and Beyond


Marijn J. H. Heule (Carnegie Mellon University – Pittsburgh, US), Inês Lynce (Technical University of Lisboa, PT), Stefan Szeider (TU Wien, AT), Neng-Fa Zhou (Brooklyn College, US)

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02. – 07. Juli 2023, Dagstuhl-Seminar 23271

Human in the (Process) Mines


Claudio Di Ciccio (Sapienza University of Rome, IT), Silvia Miksch (TU Wien, AT), Pnina Soffer (University of Haifa, IL), Barbara Weber (Universität St. Gallen, CH)

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02. – 07. Juli 2023, Dagstuhl-Seminar 23272

Epistemic and Topological Reasoning in Distributed Systems


Armando Castaneda (National Autonomous University of Mexico, MX), Yoram Moses (Technion – Haifa, IL), Ulrich Schmid (TU Wien, AT), Hans Van Ditmarsch (Open University – Heerlen, NL)

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09. – 14. Juli 2023, Dagstuhl-Seminar 23281

Theoretical Advances and Emerging Applications in Abstract Interpretation


Arie Gurfinkel (University of Waterloo, CA), Francesco Logozzo (Facebook – Seattle, US), Isabella Mastroeni (University of Verona, IT), Antoine Miné (Sorbonne University – Paris, FR), Peter Müller (ETH Zürich, CH)

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16. – 21. Juli 2023, Dagstuhl-Seminar 23291

Parameterized Approximation: Algorithms and Hardness


Karthik C. S. (Rutgers University – New Brunswick, US), Parinya Chalermsook (Aalto University, FI), Joachim Spoerhase (MPI für Informatik – Saarbrücken, DE), Meirav Zehavi (Ben Gurion University – Beer Sheva, IL)

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16. – 21. Juli 2023, Dagstuhl-Seminar 23292

SportsHCI


Carine Lallemand (TU Eindhoven, NL), Florian 'Floyd' Mueller (Monash University – Clayton, AU), Dennis Reidsma (University of Twente – Enschede, NL), Elise van den Hoven (University of Technology – Sydney, AU)

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23. – 28. Juli 2023, Dagstuhl-Seminar 23301

Computational Proteomics


Rebekah Gundry (University of Nebraska – Omaha, US), Lennart Martens (Ghent University, BE), Magnus Palmblad (Leiden University Medical Center, NL)

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23. – 28. Juli 2023, Dagstuhl-Seminar 23302

Software Architecture and Machine Learning


Grace A. Lewis (Carnegie Mellon University – Pittsburgh, US), Henry Muccini (University of L'Aquila, IT), Axel-Cyrille Ngonga Ngomo (Universität Paderborn, DE), Roland Weiss (ABB – Ladenburg, DE), Liming Zhu (Data61, CSIRO – Sydney, AU)

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13. – 18. August 2023, Dagstuhl-Seminar 23331

Recent Trends in Graph Decomposition


Seher Acer (Oak Ridge National Laboratory, US), George Karypis (University of Minnesota – Minneapolis, US), Christian Schulz (Universität Heidelberg, DE), Darren Strash (Hamilton College – Clinton, US)

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13. – 18. August 2023, Dagstuhl-Seminar 23332

Synergizing Theory and Practice of Automated Algorithm Design for Optimization


Martin S. Krejca (Ecole Polytechnique – Palaiseau, FR), Marius Lindauer (Leibniz Universität Hannover, DE), Manuel López-Ibáñez (University of Manchester, GB), Katherine M. Malan (UNISA – Pretoria, ZA)

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20. – 25. August 2023, Dagstuhl-Seminar 23341

Functionally Safe Multi-Core Systems


Iain Bate (University of York, GB), Thidapat (Tam) Chantem (Virginia Polytechnic Institute & State University – Arlington, US), Louise Harney (Leonardo UK Ltd – Edinburgh, GB), Claire Maiza (University of Grenoble, FR), Georg von der Brüggen (TU Dortmund, DE)

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20. – 25. August 2023, Dagstuhl-Seminar 23342

Computational Geometry of Earth System Analysis


Susanne Crewell (Universität Köln, DE), Anne Driemel (Universität Bonn, DE), Jeff M. Phillips (University of Utah – Salt Lake City, US)

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27. August – 01. September 2023, Dagstuhl-Seminar 23351

Algorithms and Complexity for Continuous Problems


Dmitriy Bilyk (University of Minnesota – Minneapolis, US), Michael Gnewuch (Universität Osnabrück, DE), Jan Vybíral (Czech Technical University – Prague, CZ), Larisa Yaroslavtseva (Universität Passau, DE)

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27. August – 01. September 2023, Dagstuhl-Seminar 23352

Integrating HPC, AI, and Workflows for Scientific Data Analysis


Rosa Maria Badia (Barcelona Supercomputing Center, ES), Laure Berti-Equille (IRD – Montpellier, FR), Rafael Ferreira da Silva (Oak Ridge National Laboratory, US), Ulf Leser (HU Berlin, DE)

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03. – 08. September 2023, Dagstuhl-Seminar 23361

Multiobjective Optimization on a Budget


Richard Allmendinger (University of Manchester, GB), Carlos M. Fonseca (University of Coimbra, PT), Serpil Sayin (Koc University – Istanbul, TR), Margaret M. Wiecek (Clemson University, US)

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03. – 08. September 2023, Dagstuhl-Seminar 23362

Decision-Making Techniques for Smart Semiconductor Manufacturing


Chen-Fu Chien (National Tsing Hua University – Hsinchu, TW), Hans Ehm (Infineon Technologies – München, DE), John Fowler (Arizona State University – Tempe, US), Lars Mönch (FernUniversität in Hagen, DE)

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10. – 15. September 2023, Dagstuhl-Seminar 23371

Roadmap for Responsible Robotics


Michael Fisher (University of Manchester, GB), Seth Lazar (Australian National University – Canberra, AU), Marija Slavkovik (University of Bergen, NO), Astrid Weiss (TU Wien, AT)

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10. – 15. September 2023, Dagstuhl-Seminar 23372

Human-Centered Approaches for Provenance in Automated Data Science


Anamaria Crisan (Tableau Software – Palo Alto, US), Lars Kotthoff (University of Wyoming – Laramie, US), Marc Streit (Johannes Kepler Universität Linz, AT), Kai Xu (University of Nottingham, GB)

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17. – 22. September 2023, Dagstuhl-Seminar 23381

Visualization and the Humanities: Towards a Shared Research Agenda


Johanna Drucker (University of California at Los Angeles, US), Jason Dykes (City – University of London, GB), Mennatallah El-Assady (ETH Zürich, CH), Uta Hinrichs (University of Edinburgh, GB), Florian Windhager (Donau-Universität Krems, AT)

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24. – 29. September 2023, Dagstuhl-Seminar 23391

The Futures of Reactive Synthesis


Nathanael Fijalkow (University of Bordeaux, FR), Bernd Finkbeiner (CISPA – Saarbrücken, DE), Guillermo A. Pérez (University of Antwerp, BE), Elizabeth Polgreen (University of Edinburgh, GB)

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01. – 06. Oktober 2023, Dagstuhl-Seminar 23401

Automated mathematics: integrating proofs, algorithms and data


Andrej Bauer (University of Ljubljana, SI), Katja Bercic (University of Ljubljana, SI), Florian Rabe (Universität Erlangen-Nürnberg, DE), Nicolas Thiéry (University of Paris Sud – Orsay, FR)

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08. – 13. Oktober 2023, Dagstuhl-Seminar 23411

Accountable Software Systems


Bettina Könighofer (TU Graz, AT), Joshua A. Kroll (Naval Postgraduate School – Monterey, US), Ruzica Piskac (Yale University – New Haven, US), Michael Veale (University College London, GB)

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15. – 20. Oktober 2023, Dagstuhl-Seminar 23421

Quantum Cryptanalysis


Gorjan Alagic (University of Maryland – College Park, US), Stacey Jeffery (CWI – Amsterdam, NL), Maria Naya-Plasencia (INRIA – Paris, FR), Rainer Steinwandt (University of Alabama in Huntsville, US)

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15. – 20. Oktober 2023, Dagstuhl-Seminar 23422

Graph Algorithms: Cuts, Flows, and Network Design


Jason Li (University of California – Berkeley, US), Debmalya Panigrahi (Duke University – Durham, US), Laura Sanita (TU Eindhoven, NL), Thatchaphol Saranurak (University of Michigan – Ann Arbor, US)

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22. – 27. Oktober 2023, Dagstuhl-Seminar 23431

Network Attack Detection and Defense – AI-Powered Threats and Responses


Marc C. Dacier (KAUST – Thuwal, SA), Sven Dietrich (City University of New York, US), Frank Kargl (Universität Ulm, DE), Hartmut König (ZITiS – München, DE)

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22. – 25. Oktober 2023, Dagstuhl-Seminar 23432

Edge-AI: Identifying Key Enablers in Edge Intelligence


Eyal De Lara (University of Toronto, CA), Aaron Ding (TU Delft, NL), Schahram Dustdar (TU Wien, AT), Ella Peltonen (University of Oulu, FI)

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29. Oktober – 03. November 2023, Dagstuhl-Seminar 23441

Ensuring the Reliability and Robustness of Database Management Systems


Alexander Böhm (Google – Frankfurt am Main, DE), Hannes Mühleisen (CWI – Amsterdam, NL), Danica Porobic (Oracle Switzerland – Zürich, CH), Manuel Rigger (National University of Singapore, SG)

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05. – 10. November 2023, Dagstuhl-Seminar 23451

Visualization of Biomedical Data - Shaping the Future and Building Bridges


Katja Bühler (VRVis – Wien, AT), Barbora Kozlíková (Masaryk University – Brno, CZ), Michael Krone (Universität Tübingen, DE), Cagatay Turkay (University of Warwick – Coventry, GB)

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12. – 17. November 2023, Dagstuhl-Seminar 23461

Space and Artificial Intelligence


Saso Dzeroski (Jozef Stefan Institute – Ljubljana, SI), Holger H. Hoos (RWTH Aachen, DE), Bertrand Le Saux (ESA/ ISRIN – Frascati, IT), Leon van der Torre (University of Luxembourg, LU)

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19. – 24. November 2023, Dagstuhl-Seminar 23471

The Next Generation of Deduction Systems: from Composition to Compositionality


Maria Paola Bonacina (University of Verona, IT), Pascal Fontaine (University of Liège, BE), Claudia Nalon (University of Brasilia, BR), Claudia Schon (Universität Koblenz-Landau, DE)

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26. November – 01. Dezember 2023, Dagstuhl-Seminar 23481

MAD: Microarchitectural Attacks and Defenses


Christopher W. Fletcher (University of Illinois – Urbana-Champaign, US), Marco Guarnieri (IMDEA Software Institute – Madrid, ES), David Kohlbrenner (University of Washington – Seattle, US), Clémentine Maurice (INRIA Lille, FR)

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03. – 08. Dezember 2023, Dagstuhl-Seminar 23491

Scalable Graph Mining and Learning


Nesreen K. Ahmed (Intel – Santa Clara, US), Danai Koutra (University of Michigan – Ann Arbor, US), Henning Meyerhenke (HU Berlin, DE), Ilya Safro (University of Delaware – Newark, US)

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