Big Data and Artificial Intelligence (AI) are reshaping our world,revolutionizing the way we work and live.Last year,万博亚洲体育Frontiers launched two journals to provide a home for experts working in these fields:万博亚洲体育Frontiers in Big Dataand万博亚洲体育Frontiers in Artificial Intelligence.The journals publish a broad range of topics in respectively Big Data and AI by bridging gaps between disciplines.
Knowledge Aware Recommendation SystemsandProbabilistic perspectives on brain (dys)functionare now open for submissions.Sign up forarticle alertsto keep up with the latest research published in万博亚洲体育Frontiers in Big Dataor万博亚洲体育Frontiers in Artificial Intelligence.
Two new FCEs appointed
We are proud to announce that we have now appointed two Field Chief Editors,who will work with their communities to foster collaborations between and allow the continued growth of the journals.万博亚洲体育Frontiers in Big Datawill be led byHuan Liu,Professor of Computer Science and Engineering at Arizona State University.万博亚洲体育Frontiers in Artificial Intelligencewill be led byThomas Hartung,Professor of Toxicology at Johns Hopkins University.
万博亚洲体育Frontiers in AI and Frontiers inBig Data complement each other
Huan LiuandThomas Hartungexplain their motivation and vision for万博亚洲体育Frontiers in Big Data,万博亚洲体育Frontiers in Artificial Intelligenceand their natural interplay.Huan Liu: "(Big) Data Sciences and AI are two growing disciplines that need each other.Big Data is a key element in machine learning.AI can help to handle big data in ways that are efficient and intelligent.Their natural confluence will simulate novel problems and unprecedented solutions."Thomas Hartungadds: "AI is about making sense of Big Data,which is relevant in all sciences.It complements hypothesis-driven research by moving Data Mining from a fishing expedition to an intelligent query of assembled facts."
From learning to leading newresearch
Huan Liuwitnessed first-hand the fast transformations of the field of Big Data and Data Mining,recounting his experiences in the early 90s while teaching at the National University of Singapore: "Data Mining began being seen as a new interdisciplinary field and we started teaching it without a textbook.It was exciting knowing I was part of new area of study that I could help shape."Thomas Hartungtoo recalls several moments in his life that sparked his interest in the field of AI,first reading the science fiction books of Isaac Asimov,and later the defeat of chess world-champion Garry Kasparov by IBM's Deep Blue chess computer: "A quite passionate chess player and early programmer and student of informatics,this was really a milestone I recall."
Leading with a strong community ofscientists
Collaborations between international experts are key in advancing core research and applications of Big Data and AI.Huan Liu: "万博亚洲体育Frontiers in Big Data benefits from an incredibly strong community of scientists from across a very diverse range of disciplines and perspectives.Scientists with these strengths are open-minded,inclusive,forward-looking,and innovative.Many of them dare to go out of their comfort zones to take up challenges that have no ready solutions and develop algorithms to make use of big data."
Thomas Hartung: "Scientists on the editorial board supporting万博亚洲体育Frontiers in Artificial Intelligenceare foremost experts in their disciplines.AI is such a cross-cutting technology – it is fascinating how this disruptive and enabling technology fertilizes so many disciplines.Researchers contributing to this area demonstrate true courage.They cross those boundaries to collaborate with each other and find answers to common questions from sharing data and algorithms,to quality assurance,to ethics."
Collaborative,open andinterdisciplinary research
As Field Chief Editors of万博亚洲体育Frontiers in Big Dataand万博亚洲体育Frontiers in Artificial Intelligence,Huan LiuandThomas Hartung,respectively,envision building on the excellent start that both journals have already made,bringing in more themes and fostering fruitful collaboration across communities.We congratulateHuan LiuandThomas Hartungon their new roles and look forward to working with them and the editorial boards on publishing open and interdisciplinary research to scale up the Big Data and AI revolution.
Fellow of ACM,AAAI,AAAS,and IEEE,Huan Liuis a Professor of Computer Science and Engineering at Arizona State University.His research interests are in data mining,machine learning,social computing,and artificial intelligence,investigating interdisciplinary problems that arise in many real-world,data-intensive applications with high-dimensional data of disparate forms such as social media.He is a founding organizer of the International Conference Series on Social Computing,Behavioral-Cultural Modeling,and Prediction.
Thomas Hartung's work focuses on a paradigm shift in toxicity testing to improve public health.He is Professor of Toxicology, Molecular Microbiology and Immunology at Johns Hopkins Bloomberg School of Public Health,Baltimore,and Professor of Pharmacology and Toxicology at the University of Konstanz,Germany.He was the head of the European Center for the Validation of Alternative Methods of the European Commission (2002-2008) and is now the Director for the Center for Alternatives to Animal Testing.
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