Dagstuhl reportsPub Date : 2022-01-01DOI: 10.4230/DagRep.12.8.103
Polo Chau, Alex Endert, Daniel A. Keim, Daniela Oelke
{"title":"Interactive Visualization for Fostering Trust in ML (Dagstuhl Seminar 22351)","authors":"Polo Chau, Alex Endert, Daniel A. Keim, Daniela Oelke","doi":"10.4230/DagRep.12.8.103","DOIUrl":"https://doi.org/10.4230/DagRep.12.8.103","url":null,"abstract":"The use of artificial intelligence continues to impact a broad variety of domains, application areas, and people. However, interpretability, understandability, responsibility, accountability, and fairness of the algorithms’ results – all crucial for increasing humans’ trust into the systems – are still largely missing. The purpose of this seminar is to understand how these components factor into the holistic view of trust. Further, this seminar seeks to identify design guidelines and best practices for how to build interactive visualization systems to calibrate trust.","PeriodicalId":91064,"journal":{"name":"Dagstuhl reports","volume":"12 1","pages":"103-116"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70436602","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Dagstuhl reportsPub Date : 2022-01-01DOI: 10.4230/DagRep.12.9.150
Philipp Berens, Kyle Cranmer, Neil D. Lawrence, U. V. Luxburg, Jessica Montgomery
{"title":"Machine Learning for Science: Bridging Data-Driven and Mechanistic Modelling (Dagstuhl Seminar 22382)","authors":"Philipp Berens, Kyle Cranmer, Neil D. Lawrence, U. V. Luxburg, Jessica Montgomery","doi":"10.4230/DagRep.12.9.150","DOIUrl":"https://doi.org/10.4230/DagRep.12.9.150","url":null,"abstract":"This report documents the programme and the outcomes of Dagstuhl Seminar 22382 “Machine Learning for Science: Bridging Data-Driven and Mechanistic Modelling”. Today’s scientific challenges are characterised by complexity. Interconnected natural, technological, and human systems are influenced by forces acting across time- and spatial-scales, resulting in complex interactions and emergent behaviours. Understanding these phenomena – and leveraging scientific advances to deliver innovative solutions to improve society’s health, wealth, and well-being – requires new ways of analysing complex systems. The transformative potential of AI stems from its widespread applicability across disciplines, and will only be achieved through integration across research domains. AI for science is a rendezvous point. It brings together expertise from AI and application domains; combines modelling knowledge with engineering know-how; and relies on collaboration across disciplines and between humans and machines. Alongside technical advances, the next wave of progress in the field will come from building a community of machine learning researchers, domain experts, citizen scientists, and engineers working together to design and deploy effective AI tools. This report summarises the discussions from the seminar and provides a roadmap to suggest how different communities can collaborate to deliver a new wave of progress in AI and its application for scientific discovery.","PeriodicalId":91064,"journal":{"name":"Dagstuhl reports","volume":"12 1","pages":"150-199"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70436743","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Dagstuhl reportsPub Date : 2022-01-01DOI: 10.4230/DagRep.12.10.175
Khalid Al Khatib, A. Waard, Dayne Freitag, Iryna Gurevych, Yufang Hou, Harrisen Scells
{"title":"Towards a Unified Model of Scholarly Argumentation (Dagstuhl Seminar 22432)","authors":"Khalid Al Khatib, A. Waard, Dayne Freitag, Iryna Gurevych, Yufang Hou, Harrisen Scells","doi":"10.4230/DagRep.12.10.175","DOIUrl":"https://doi.org/10.4230/DagRep.12.10.175","url":null,"abstract":"","PeriodicalId":91064,"journal":{"name":"Dagstuhl reports","volume":"12 1","pages":"175-206"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70435448","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Dagstuhl reportsPub Date : 2022-01-01DOI: 10.4230/DagRep.12.11.1
D. Gurov, Reiner Hähnle, M. Huisman, Giles Reger, Christian Lidström
{"title":"Principles of Contract Languages (Dagstuhl Seminar 22451)","authors":"D. Gurov, Reiner Hähnle, M. Huisman, Giles Reger, Christian Lidström","doi":"10.4230/DagRep.12.11.1","DOIUrl":"https://doi.org/10.4230/DagRep.12.11.1","url":null,"abstract":"","PeriodicalId":91064,"journal":{"name":"Dagstuhl reports","volume":"12 1","pages":"1-27"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70435579","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Dagstuhl reportsPub Date : 2022-01-01DOI: 10.4230/DagRep.12.1.101
Albert Atserias, Christoph Berkholz, K. Etessami, Joanna Ochremiak
{"title":"Finite and Algorithmic Model Theory (Dagstuhl Seminar 22051)","authors":"Albert Atserias, Christoph Berkholz, K. Etessami, Joanna Ochremiak","doi":"10.4230/DagRep.12.1.101","DOIUrl":"https://doi.org/10.4230/DagRep.12.1.101","url":null,"abstract":"","PeriodicalId":91064,"journal":{"name":"Dagstuhl reports","volume":"12 1","pages":"101-118"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70435683","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Dagstuhl reportsPub Date : 2022-01-01DOI: 10.4230/DagRep.12.1.119
Brett A. Becker, Paul Denny, J. Siegmund, A. Stefik
{"title":"The Human Factors Impact of Programming Error Messages (Dagstuhl Seminar 22052)","authors":"Brett A. Becker, Paul Denny, J. Siegmund, A. Stefik","doi":"10.4230/DagRep.12.1.119","DOIUrl":"https://doi.org/10.4230/DagRep.12.1.119","url":null,"abstract":"The impacts of many human factors on how people program are poorly understood and present significant challenges for work on improving programmer productivity and effective techniques for teaching and learning programming. Programming error messages are one factor that is particularly problematic, with a documented history of evidence dating back over 50 years. Such messages, commonly called compiler error messages, present difficulties for programmers with diverse demographic backgrounds. It is generally agreed that these messages could be more effective for all users, making this an obvious and high-impact area to target for improving programming outcomes. This report documents the program and the outputs of Dagstuhl Seminar 22052, “The Human Factors Impact of Programming Error Messages”, which explores this problem. In total, 11 on-site participants and 17 remote participants engaged in intensive collaboration during the seminar, including discussing past and current research, identifying gaps, and developing ways to move forward collaboratively to address these challenges.","PeriodicalId":91064,"journal":{"name":"Dagstuhl reports","volume":"12 1","pages":"119-130"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70435728","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}