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Data Science Week 2024
Welcome! The World Conference on Data Science & Statistics is one of the largest and the most technological annual events represented in three regions, bringing together the most innovative minds, enterprise practitioners, technology providers, start-up innovators, and academics, working with Data Science, Big Data, ML, AI, Data Management, Data Engineering, IoT and Analytics, in one place to discuss ways to accelerate AI-driven Transformation throughout companies, industries, and public organizations.
A three-day event that focuses on topics in data governance, data literacy, and leadership, privacy and ethics, applications of machine learning, and open-source data technologies. Attendees range from every seniority level, from analysts to directors and vice presidents. This event covers various topics, including machine learning and AI, testing, data anomaly detection, data engineering, and many more. This conference also provides great networking opportunities for those who attend in person.
The conference platform will provide you with many opportunities for online networking and discussion in smaller groups. You’ll be able to share your opinions directly with other attendees and with the speakers.
The conference brought together academics and practitioners in areas including data science, machine learning, artificial intelligence, computational statistics and software, as applied in the Biotech & Pharma, Communications, Cyber & Fraud, Education, Energy, Travel, and many more industry.
Our Conference agenda will offer answers and practical advice that you can take back to your workplace to build mature data practices and strategies for DevOps & CI/CD, cloud, data compliance, AI/ML, and more.
The Data Science Week 2024 is constructed so it equally addresses all the elements of data-driven and AI-innovative business: data, people, processes and technology. The event is built to be both academic and business, practical and technological, realistic and futuristic, educational and exciting, regional and global, live and digital, general and niched, inspiring and influential. It will be representing some of the best data driven innovative technology, projects, products, business ideas and research, presented by some of the most eminent people in the world.
The conference will facilitate the young researchers, industries leaders, and research agencies especially, those, who are functioning their research work in the data science domain of Computer Science, Information Technology, Healthcare, Finance, Electronics, and Communication Engineering with valuable deliberations in order to make the results more representative. The program is divided into three days, each day focusing on a specific topic, and contributions to this colloquium will also present practice-oriented research as well as research on teachers’ professional development.
We welcome you to explore the event and see you at the event.
Berlin School of Business and Innovation GmbH, Germany
Farshad Badie holds a PhD in Human-Centered Communication & Informatics, with a special focus on logic, information science, and learning/cognitive science in human-human-machine interaction systems. He obtained his doctoral degree from Aalborg University (AAU) in Denmark in 2017. Dr. Badie's research primarily revolves around semi-formal conceptual/logical languages as well as their applications in semantic/terminological knowledge modelling. More specifically, his research frameworks lie in the logical, ontological, and semantic analysis of the fundamental components of meaning and cognition within cognitive/knowledge agents' interactions. Moreover, in organisational and human-centred contexts, he analytically explores the existential, conceptual and logical aspects of the concepts of "change" and "innovation”. Dr. Badie also serves as an editorial board member and reviewer for numerous journals covering computer science, formal languages, theory of artificial intelligence, cybernetics, decision/learning sciences, and management sciences. Additionally, he has participated as an organising and scientific committee member in over 160 conferences and workshops held in Europe, America, Australia, Asia, and Africa.
University of Naples Federico II, Italy
Gabriella Punziano, PhD in Sociology and Social Research is Associate Professor in Sociology and Methodology of Social Sciences at the Department of Social Sciences of the University of Naples Federico II, where she hold advanced digital research and methodological courses. Since 2018 she is the director of the Paideia association for culture and advanced training in human and social sciences and of the Summer School on method and social research. Her research interests include: the new analytical frontiers and the challenges introduced by the digital, new data, mixed and integrated and digital perspectives on public, institutional and political communication phenomena, social policies and welfare regimes, risk communication analysis on social and digital platforms. She is the author of more than 100 publications among articles, book chapters, edited books, handbook, on methodological issues.
Emeritus, Alpen Adria University (AAU) of Klagenfurt, Austria
Jürgen Pilz is Emeritus Professor at the Department of Statistics, Alpen Adria University (AAU) of Klagenfurt, Austria. He received his PhD and DSc degrees from TU Mining Academy Freiberg, Germany. From 1994 – 2020 he was Professor and Chair of Applied Statistics at AAU Klagenfurt, Austria, from 2007-2015 and 2018-2019 he served as (Founding) Head of the Dept. of Statistics at AAU Klagenfurt. He held guest professorships at Charles University Prague (Czech Rep.), University of Augsburg (Germany), Purdue University (USA), University of British Columbia, Vancouver (Canada) and University of Canterbury, Christchurch (New Zealand).
University of Rijeka, Croatia
Sanda Martinčić-Ipšić obtained her B.Sc. degree in Computer Science from the University of Ljubljana Faculty of Computer Science and Informatics, and her M.Sc. degree in informatics from the University of Ljubljana, Faculty of Economy. In 2007 she obtained a Ph.D degree in Computer Science from the University of Zagreb, Faculty of Electrical Engineering and Computing. Dr. Martinčić-Ipšić currently works as full professor of Computer Science at the University of Rijeka, Faculty of Informatics and Digital Technologies.
University of Belgrade, Serbia
Vladan Devedzic is a Professor of Computer Science and Software Engineering at the University of Belgrade, Faculty of Organizational Sciences, Belgrade, Serbia. Since 2021, he is a Corresponding Member of the Serbian Academy of Sciences and Arts (SASA).
His long-term professional objective is to bring close together ideas from the broad fields of Artificial Intelligence / Intelligent Systems and Software Engineering. His current professional and research interests include artificial intelligence, intelligent software systems, programming education, software engineering, and technology-enhanced learning (TEL).
University of the Peloponnese, Greece
Costas Vassilakis is a Professor in the Department of Informatics and Telecommunications of the University of the Peloponnese, in the area of Information Systems. He received his degree from the Department of Informatics, University of Athens in 1990 and his PhD from the same department in 1995. He has published more than 240 papers in international journals and conferences and has participated in more than 30 international and national R&D projects. His research interests include information systems, data science, software engineering, semantic web, as well as information presentation aspects.
Hoogoorddreef 66 A, 1101 BE
Amsterdam-Zuidoost,
Netherlands
Reception manned 24 hours a day
Reception manned at weekends
Check-In : 15:00
Check-Out : 12:00
Amsterdam Schiphol Airport (AMS) : The hotel is located only 15 minutes by train from Schiphol Airport. The train station is only 5 minutes walk distance from the hotel. By car take A4 to Amsterdam onwards A10 and then A2. Take exit 1 Oudekerk a/d Amstel. Turn left on N522 and keep on right to S111. Turn right on S111 and take second left. Now first exit to the left where you find the hotel.
Conference starts will some guest talk followed by Keynote speeches by several renowned personalities.
The topics for this session, will be: Data Science & Technology and AI & Machine Learning
Here, discussion would be on Public Policy and Big Data & Analytics
Presentation topics: Advanced Analytics and Databases & Data Security
Day 2 starts with Keynote presentation from eminent people in the field of Climate Change and other related fields.
Technologies in Data Visualization and Computational Science & Numerical Analysis
Neuromorphic Computing
Cloud Computing
Day 3 Starts with 5-7 Keynote Talks from multinational speakers.
Mathematical Aspects of Data Science and Deep Learning
Statistical Learning and The Best of Predictive Analytics
Business Intelligence and Digital Transformation
Reserve your seat while they last. We have a limited number available.
