اولین کنفرانس بین المللی مسایل معاصر در علم داده (Contemporary Issues in Data Science) توسط دانشگاه تحصیلات تکمیلی زنجان در اسفند ماه ۹۷ در زنجان برگزار خواهد شد
سخنرانانی از دانشگاه لایب نیتز، صنعتی شریف و شرکت اپل در این کنفرانس به ایراد سخنرانی خواهند پرداخت و تمامی مقالات پذیرش شده که به زبان انگلیسی خواهد بود، در مجله Lecture Notes on Data Engineering and Communications Technologies اسپرینگر چاپ خواهد شد. مهلت ارسال مقالات تا ۱۸ آبان ماه سال جاری تعیین شده است
Data science is rapidly growing field and as a profession incorporates a wide variety of areas from statistics, mathematics and machine learning to applied big data analytics. This is not limited to computer science, but also physics, astronomy, medicine, labor market analysis, marketing and many more. For instance, the Large Synoptic Survey Telescope (LSST) is planned to deliver 100 Petabytes of data in the next decade. This demands awareness of emerging technologies and calls for technologies and services of tomorrow, specially big data and data science expertise. According to the Forbes, “Data Science” is listed as LinkedIn’s fastest growing job in 2017. The need to have professional data scientists is not limited to just education, but also proper development and preparation of environments and tools to brainstorm on recent research and scientific achievements of the area.
Such a scientific need for having an event that scientists can share their first class data science achievements was known for us since years ago and we tried in this regard to put special interest and focus on data science in our past executions of CICIS conference. This year, in its 5th run, we decided to dedicate the conference to data science area and accordingly decided to even keep it as professional data science event in the future. Therefore, the 5th international conference on Contemporary issues in Data Science (CiDaS) will provide a sort of a real workshop (not listen-shop) to scientists and scholars to share ideas, initiative future collaborations and brainstorm challenges as well as industries to catch emerging solutions from the science to their real data science problems. In this regard, we believe that we will be able to support all scientists and involve them in this move towards the successful future and welcome your support.
CiDaS Steering Committee
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