活动简介

The Swiss Conference on Data Science (SDS) is the most important Swiss conference for applied data science! In 2022 it will be held for the 9th time.

We connect data scientists, developers, opinion leaders, decision makers and pioneers. We create and exchange ideas for innovative products and services, with a non-exclusive focus on the Swiss market. We foster the community of data scientists in Switzerland – and beyond.

SDS2022: With talks and contributions focusing on applied data science and business, accepted papers will be submitted for inclusion into IEEE Xplore. Talks with business impact and data-driven innovation concepts will be presented at the SDS2022.

Meet innovators, scientists as well as business insiders and get access to emerging trends, cutting-edge technologies and research results. Get inspired and use the input from SDS2022 directly for the improvement and development of your data-based products, solutions and applications. Further expand your network and discuss with experts on applied data science during our breaks and social events.

Sponsor Type:3; 5; 9

组委会

Organizers

 

Dr. Gundula Heinatz Bürki

Managing Director

data innovation alliance

Dr. Gundula Heinatz Bürki led an analytics group at a Swiss insurance company and has been Manager of an analytics research group at ETH Zurich. She knows what transforming to digitization for a larger company means.

Dr. Melanie Geiger

Deputy Managing Director

data innovation alliance

Dr. Melanie Geiger has worked in many innovation projects and received her PhD from the University of Neuchâtel. She shaped the SDS conference series since its beginning.

David Schaffner

Administrative Assistent

data innovation alliance

David has extensive knowledge working in the administration. Currently he is responsible for the office of the Alliance in Thun.

征稿信息

重要日期

2022-02-28
初稿截稿日期
2022-04-05
初稿录用日期
2022-05-09
终稿截稿日期

征稿范围

Call for Papers - Scientific Track (IEEE technically co-sponsored)

Data Science stands on the frontline of new scientific discoveries and plays a significant role in all aspects of our everyday lives. The 9th Swiss Conference on Data Science - SDS2022 - brings together researchers, developers, opinion leaders, decision makers, and innovators with expertise in Data Science. The goal of SDS2022 is to foster the exchange of novel ideas for data science.

Topics of interest

We invite submissions of original research papers related to all areas of Data Science, especially best practice and use-case oriented research work with technical depth and practical applicability. We especially want to solicit work in four key areas in the coming year, namely:

• AI for Cybersecurity and Data Protection

Data collection and Artificial Intelligence (AI) algorithms are becoming the cornerstone of the cybersecurity industry. And at the same time we have to think about how we can ensure the security requirements of critical applications and the safety and confidentiality of data communication and processing.

• AI for Humanity

We already observe that AI-based innovations are powering some of the most cutting-edge solutions we use in our daily lives and in almost every field of industry. It is therefore only natural to use AI also to solve the challenges of humanity such as how to tackle climate change, health challenges (e.g., pandemics), the future of food, energy and transportation and other social good use cases.

• Developing, deploying and operating machine learning-based systems (MLOps)

Data Science is more than creating prototypes. MLOps focuses on managing and automating machine learning pipelines and therefore creating real and sustainable business applications. We will address the whole development-operations-life-cycle including pipeline maintenance, data collection & access, infrastructure, operational aspects, delivery to production and many more.

• Implementing socially-acceptable data-based applications

A wide range of Data Science solutions are in place. However, there are big differences between the technical implementation and the social perception of these solutions. Therefore, we want to understand deeper how to build socially accepted data-based applications.

 

Call for Participation - Business Track

Data Science stands on the frontline of new scientific discoveries and plays a significant role in all aspects of our everyday lives. The 9th Swiss Conference on Data Science - SDS2022 - brings together researchers, developers, opinion leaders, decision makers, and innovators with expertise in Data Science. The goal of SDS2022 is to foster the exchange of novel ideas for Data Science. Following the motto „together we move faster“, we also foster the expansion of the community and network of data scientists and engineers from academia and industry.

Topics of interest

We invite submissions of talks related to all aspects of Data Science, especially best practice and use-case oriented work with technical depth and practical applicability. We especially want to solicit work in four key areas in the coming year, namely:

• AI for Cybersecurity and Data Protection

Data collection and Artificial Intelligence (AI) algorithms are becoming the cornerstone of the cybersecurity industry. And at the same time we have to think about how we can ensure the security requirements of critical applications and the safety and confidentiality of data communication and processing.

• AI for Humanity

We already observe that AI-based innovations are powering some of the most cutting-edge solutions we use in our daily lives and in almost every field of industry. It is therefore only natural to use AI also to solve the challenges of humanity such as how to tackle climate change, health challenges (e.g., pandemics), the future of food, energy and transportation and other social good use cases.

• Developing, deploying and operating machine learning-based systems (MLOps)

Data Science is more than creating prototypes. MLOps focuses on managing and automating machine learning pipelines and therefore creating real and sustainable business applications. We will address the whole development-operations-life-cycle including pipeline maintenance, data collection & access, infrastructure, operational aspects, delivery to production and many more.

• Implementing socially-acceptable data-based applications

A wide range of Data Science solutions are in place. However, there are big differences between the technical implementation and the social perception of these solutions. Therefore, we want to understand deeper how to build socially accepted data-based applications.

作者指南

Call for Papers - Scientific Track (IEEE technically co-sponsored)

Submission

• Full Paper – present high-quality research contributions, including experiments, analysis, or system papers, as well as descriptions of application results. Each submission can have up to 6 pages incl. references.

• Short Paper – present late-breaking results, work in progress, follow-up extensions, application case studies, or evaluations of existing methods. Each submission can have up to 2 pages incl. references.

All submissions must be original works that have not been published previously in any conference proceedings, magazine, journal, or edited book. The review process will be double blind, therefore we ask authors to take specific care to anonymize their submission reasonably. Concurrent submissions are strictly forbidden. Submission of papers implies intention to register and present the related content at the conference. The international Program Committee will carefully review the submissions. Excellent content and presentation as demonstrated in the submission are mandatory for acceptance. Accepted submissions will be presented in English (as a talk or a poster) by the authors at the conference. As last year, proceedings of all papers presented at the conference will be submitted for inclusion in the IEEE Xplore digital library. All submissions must be formatted by following the IEEE 8.5” x 11” two-column format.

 

Call for Participation - Business Track

Submission

Business Talk – presentation covering technological aspects, deployment and use of solutions in Data Science. Submissions should be in pdf format and have a maximum length of 2 pages and contain all of the following elements:

• a title

• an extended abstract of no more than 500 words and explaining an impactful and novel application with facts and figures

• a description of the target audience

• an outline of the intended talk

• a short author biography

The Business Program Committee will carefully review the submissions. Excellent content demonstrating data-driven value creation, business impact and innovation in the submission are mandatory for acceptance. Accepted submissions will be presented in English by the authors at the conference.

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重要日期
  • 会议日期

    06月22日

    2022

    06月23日

    2022

  • 02月28日 2022

    初稿截稿日期

  • 04月05日 2022

    初稿录用通知日期

  • 05月09日 2022

    终稿截稿日期

  • 06月23日 2022

    注册截止日期

主办单位
Switzerland Section
Switzerland Section SP/C/COM/IT Joint Chapter
data innovation alliance
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