Welcome to the third "Huiyuan Sharing" National University Open Data Innovation Research Contest
Release time: 2021-05-11
Source of the article: Reference Department
Author of the article:
In order to promote and promote the convergence, circulation, sharing and opening of data resources in the field of education and scientific research, encourage university teachers and students to use new technologies to carry out innovative research and application of open data, and aggregate the strengths of various industries to cultivate and improve the data literacy of university students. Under the guidance and support of the Shanghai Municipal Commission of Economy and Information Technology, the Fudan University Library, the Shanghai Municipal Education Commission Information Center, and the Shanghai Scientific Research Big Data Joint Innovation Laboratory for many universities and enterprises in the United A series of activities for the third "Huiyuan Sharing" National University Open Data Innovation Research Contest. The competition will start 4 divisions simultaneously (Anhui Division, Jiangsu Division, Shandong Division, Zhejiang Division), and another sub-course (financial big data knowledge and case analysis competition) will be set up to give full play to local advantages and professional characteristics , Multi-dimensional and all-round promotion of the goal of the competition.
The series of activities are planned to be carried out from April to October 2021. The total prize pool of the competition is 10W+:
1. Data Reading" Academic Training Camp 4.23-6.18
2. Data contest 4.23-10 mid-term
3. Results incubation from late October
Data Reading" Academic Training Camp
The training camp is for teachers and students from colleges and universities across the country, inviting data scientists from different industries and fields to focus on A (AI Industrial Intelligence), B (Blockchain), C (Cloud Computing), D (Big Data), The seven themes of E (Energy Data), F (Fintech), and G (GIS geographic information) will be held in many universities across the country and live broadcast online to form a series of data literacy courses.
See the official website of the contest for details
https://www.huiyuan.sh.edu.cn/competition/#/home
5.13|The " Data Reading" academic training camp is coming to Nanjing University
Wonderful non-stop, looking forward to meeting you!
Report 1 "Five Major Changes in Data Thinking in the New Era"
" The difference in the way of thinking determines the gap between people, and the difference in the way of thinking about data affects the level of research."
Expert profile: Zhu Qinghua, a distinguished professor of the "Changjiang Scholars Award Program" of the Ministry of Education, a doctoral tutor in the School of Information Management, Nanjing University, a member of the 6th and 7th Academic Degrees Committee of the State Council Library, Information and Archives Management Discipline Evaluation Group, and presided over the National Social Science Fund There are more than 20 general, key, and major projects, general projects from the National Self-Technology Fund, and provincial and ministerial projects. Won the third prize of Jiangsu Science and Technology Progress Award, the first and second prizes of Jiangsu Philosophy and Social Sciences Outstanding Achievements, and the third prize of Humanities and Social Sciences Outstanding Achievements of the Ministry of Education.
Summary of the report : Let data speak and use facts to prove the basic requirements of scientific research. In the new era represented by big data, artificial intelligence, etc., data thinking in scientific research emphasizes the importance of data as a resource, and a research paradigm From model-driven to data-driven, spatial categories from partial research to overall exploration, mechanism exploration from causal analysis to correlation analysis, decision-making methods from empirical decision-making to rational decision-making, and service models from traditional services to smart services have undergone a huge transformation.
Report 2 "RFID Big Data Empowers Smart Book Inventory"
" The intelligent inventory robot based on RFID big data analysis is an inevitable trend to realize automated book inventory"
Expert profile: Liu Jia, Ph.D., associate professor of the Department of Computer Science and Technology, Nanjing University, and deputy dean of the Institute of Intelligent Robotics, Nanjing University. The main research direction is IoT perception technology. In recent years, he has published more than 50 academic papers in international conferences and journals. He has presided over more than ten scientific research projects such as NSFC general projects, and authorized and applied for more than 20 patents. He has won the special gold medal of the 46th Geneva International Invention Exhibition, the Young Science and Technology Award of Jiangsu Computer Society, and the Rising Star Award of ACM Nanjing Branch.
Report summary : Radio frequency identification technology (RFID) is an important carrier and promoter for the Internet of Things to perceive the physical world and realize the connection of all things. It is gradually transitioning and transforming from traditional identification to intelligent situational awareness. This report combines the long-term research and practice of the State Key Laboratory of Software New Technology of Nanjing University and the Nanjing University Library in the field of book inventory, and systematically elaborates the intelligent book inventory robot based on RFID big data analysis to help the intelligent upgrade of book management. Transformation.
Students remember the time, don’t miss it
Time: May 13 (Thursday) 9:30-11:30
Activity Host: Shao Bo, Deputy Director of Nanjing University Library
Activity form: online + offline
Offline address: Conference Room, 5th Floor, Library, Xianlin Campus, Nanjing University
(According to the requirements of epidemic prevention and control, offline activities are limited to teachers and students of the school)
Please remember the time when watching online
3 platforms after scanning the code
Attend on time!
Action is worse than heartbeat!
Click the link below or scan the QR code below,
Come sign up for the contest and study the data together!
Contest registration link
http://www.huiyuan.sh.edu.cn/competition/#/register
How to watch
(1) bilibili:
https://live.bilibili.com/21995283
(2) Shanghai Education Cloud Live Broadcasting Platform:
http://zhibo.shec.edu.cn/golive/sjyd
(3) Bring up:
https://m.zaojiu.com/ziyuan/courses/5
● Activity organization●
Instructor : Shanghai Municipal Education Commission, Shanghai Economic and Information Commission
Organizers : Fudan University Library, Shanghai Municipal Education Commission Information Center
Co-sponsors : Anhui University Library, Nanjing University Library, Shandong University Library, Shanghai International Studies University School of International Finance and Trade, Zhejiang University Library
Organizer : Shanghai Joint Innovation Laboratory of Big Data in Scientific Research Field
Co-organizers : Beijing Wanfang Data Co., Ltd., Shanghai Alfadi Intelligent Digital Technology Co., Ltd.
Co-organizers : Anhui Provincial Higher Education Commission, Chongqing Higher Education Commission, Jiangsu Higher Education Commission, Ministry of Education CADAL Project Management Center, Tsinghua University Library, Shandong Higher Education Commission, Shanghai Higher Education Commission, Sichuan Provincial Colleges and Universities Library Work Committee, Wuhan University Library, Zhejiang Provincial Colleges and Universities Library Work Committee
Data support units : Anhui University Library, Beijing Institute of Technology Library, Beijing Wanfang Data Co., Ltd., Chongqing University Library, Donghua University Library, Contemporary Chinese Social Life Data Center of Fudan University, and Social Science Data Research Center of Fudan University , Fudan University Library, Floating Population Service Center of National Health Commission, CADAL Project Management Center of Ministry of Education, Nanjing University Library, Shandong University Library, Shandong Agricultural University Library, Shandong Normal University Library, Shanghai University of Finance and Economics Library, Shanghai University Library, Shanghai Electric Power University Library, Shanghai Ocean University Library, Shanghai University of Science and Technology Library, Shanghai Youth Management College, Shanghai Normal University Library, Shanghai Audio-visual Education Museum, relevant departments of Shanghai, Shanghai International Studies University Library, Tongji University Library, Zhejiang University Library, Chinese Academy of Engineering, Chinese Engineering Science and Technology Knowledge Center, Ocean University of China Library, China University of Petroleum (East China) Library, etc.
Academic partners : Fudan University Press, "Library Magazine"
Media partners : DT Finance, Cultivation
Supporting partners : Beijing Wanfang Data Co., Ltd., Shanghai Alfadi Intelligent Digital Technology Co., Ltd., Shanghai Big Data Co., Ltd., Shanghai Taoshi Information Technology Co., Ltd., Shanghai Yunjiao Information Technology Co., Ltd.
● Contact us●
Contact: Teacher Fu
Email: ihssd@fudan.edu.cn
Tel: 021-65642106 (9:00-16:00 on weekdays)
