2023年中国大学生计算机设计大赛大数据主题赛资料（含往届作品及本届参考资料）
posted on 2023-05-07 20:52 read(497) comment(0) like(22) collect(4)
1. Topics of this competition
Topic: Data Interpretation of Climate Change and Global Response
As a national strategy, addressing climate change has been integrated into the overall layout of ecological civilization construction and overall economic and social development. The report of the 20th National Congress of the Communist Party of China further clarified the direction of my country's work on climate change, insisted on coordinating industrial structure adjustment, pollution control, ecological protection, and addressing climate change, coordinated efforts to promote carbon reduction, pollution reduction, green expansion, and growth, and promoted ecological priority, Saving and intensive, green and low-carbon development. The "Action Plan for Carbon Peaking Before 2030" issued by the State Council in 2021 clarifies the timetable, road map, and construction drawings for the carbon neutralization work of carbon peaking. For better climate governance, we need innovative and collaborative approaches to address the crises and challenges posed by climate change. Climate change will affect and challenge the world at different levels, which will generate different data concerns; at the same time, each new data insight may also inspire new global response strategies. Combining the optional thinking dimension of the topic, based on the given data set, and supplementing the data set when necessary, a big data theme analysis report is formed.
The thinking dimensions that can be referred to include but are not limited to (students are encouraged to put forward their own thinking dimensions):
Impact of extreme weather on biodiversity
Impact of Climate Warming on my country's or Global Economy
The role of the energy transition in addressing climate change
Coordinated Climate Governance Considering Carbon Reduction and Growth
>> Competition registration and answer page
2. Previous competitions and outstanding works
2022 (15th) China Undergraduate Computer Design Contest - Big Data Theme Competition (direct report to competition area)
Competition topic: Data Interpretation of COVID-19 and Global Response
On January 18, 2022, Michael Ryan, head of WHO's health emergency program, said at the 2022 World Economic Forum video conference : People may never be able to eliminate the new crown virus, and this virus may eventually become part of the ecosystem. The World Economic Forum released the 16th "Global Risks Report", which clearly pointed out that the new crown pneumonia epidemic has further exacerbated geopolitical and social challenges, and the crisis of climate change has become increasingly prominent. Now more than ever, we need innovative and collaborative approaches to address current crises and challenges. The challenge of COVID-19 will bring different data concerns, and each new data insight will bring new coping strategies. Combining the optional thinking dimension of the topic, based on the given data set, and supplementing the data set when necessary, a big data theme analysis report is formed. Encourage students to put forward their own thinking dimensions based on data analysis, for example: • Analyze geopolitical and social challenges in the response to the global COVID-19 pandemic through real data. Example: Vaccine distribution and economic recovery. More than half of the world's population has already received two doses of the COVID-19 vaccine, compared with only 7% of Africa's population which has received two doses. Whether the unfair distribution of vaccines will have a profound impact on economic recovery. • Analyze the regulations, policies and specific measures of different countries in response to the new crown epidemic through real data. For example: Comparison of Chinese and foreign epidemic prevention and control policies, and the characteristics of policies to combat the new crown epidemic. On the one hand, it is possible to analyze the highlights of China's epidemic prevention and control and the areas that can be improved; on the other hand, it is possible to discuss the highlights and areas that can be improved in different countries and regions. Based on the above data analysis, suggestions are put forward for global response plans such as the improvement of epidemic prevention and control.
Award-winning works
The contestants are gradually being announced. For the latest progress, please visit >> Hejing Community
2021 (14th) China Undergraduate Computer Design Competition Big Data Theme Competition
Competition topic: Data Interpretation of National Planning and China's Economic Development
Since the reform and opening up, China's economy and society have experienced round after round of development and improvement. We have shifted from focusing on GDP growth to carbon neutrality, from focusing on foreign trade deficits to focusing on the domestic cycle, and from focusing on foreign exchange reserves to focusing on RMB internationalization. Behind the planning and transformation of policies is decision-making based on data; the decision-making and implementation of policies will generate new data, and the insights brought by these new data can verify the implementation of this policy plan. See micro-knowledge from insights, and find data basis from macro-planning. for example:
Business planning: Some people speculate on the real business income of Ruixing Coffee from observing the customer flow of Ruixing Coffee stores;
Living needs: Some people predict the changes in house prices and the demand for house purchases from the changes in China's population and age;
International Relations: Some people predict the outcome of the U.S. election by collecting data from Yiwu to make orders for the U.S. election; every policy change will bring new data concerns, and every new data insight will also bring new policy changes . Based on the given data set, self-made topics, using data thinking, discover and explain economic and social phenomena, explore and solve social problems.
Award-winning works (random order is not the award-winning ranking)
【Nanchang Institute of Technology】On the Unhappiness Factors of "Utopia"
【Yulin Normal University】Research on Demand Forecast and Operation Model of Elderly Service Beds
[Hainan University] The two-way feedback of health and sanitation to economy and policy
[Beijing Information Technology University] Exploration on China's National Economic Data
[Anhui Polytechnic University] Big Data Theme Competition
【Beijing University of Technology】Marriage Policy and Economic Policy
【Donghua University】Life Prediction
【Wuhan University】Analysis of China's Modern Marriage & Economic Characteristics under Big Data
[Dalian University of Technology] Interpreting China's Economic Development from Big Data
[Hefei University of Technology] Declining marriage rate
[Beijing University of Science and Technology] Macroeconomic Factors and Real Estate Prices
【Nanchang Hangkong University】Analysis and prediction of divorce data in China
[Shenyang Normal University] Confidence Index Analysis Based on Big Data
【Dalian Maritime University】Marriage Choice in Economic Society
3. This year's answer package
1. Thesis literature
Climate change exacerbates social inequality in extreme weather: The case of Hurricane Harvey
Nature Express: Armed conflict risk modeling under climate change
Top Issue Express: Climate change increases global risk to urban forests
Top Issue Express: Threats of Drought-Heat Wave Compound Events to Future Social Productivity
Top Issue Express: Decarbonization and Resource Inventory in the Global Energy Transition
Top issue express: Global impacts of future urban sprawl on vertebrate diversity
Top issue express: Persistent widespread changes in surface temperature under climate change
Top Issue Express: Adverse economic activity impact of global harvest and weather disruptions
Spatio-temporal change of global land cover and China's contribution
Basic status, dynamic evolution and spatial spillover effects
Research on the path and policy of energy economy transformation under the goal of carbon neutrality
Identification of hotspots and gaps in conservation of endangered species in the Yellow River Basin
Global Major Natural Disaster Losses and Trend Comparison from 1990 to 2019
Non-carbon dioxide greenhouse gas emissions from agricultural sources and scenario simulation
Attribution Analysis of Human Activities on Urban Thermal Environment Changes
2. Programming Skills
Numpy
These 100 exercises will take you to play Numpy
Pandas
Pandas advanced practice 300 questions
Matplotlib
Matplotlib's 50 Most Valuable Visualization Projects
Pyecharts
[pyecharts tutorial] It should be the most complete tutorial on the whole network~
map visualization
Cartopy Drawing | The most correct way to use the map of China
Python analysis--visual map folium library usage example
State models
Statsmodels Chinese documentation
Statsmodels - Time Series Analysis
3. Projects related to Whale Community
Time Series Basics
For an introduction to time series analysis, it is enough to read this article
Feature Engineering for Time Series
Introduction to Time Series Analysis: Forecasting and Practice
Time series model - also talk about its application in econometrics 1
Time series model - also talk about its application in econometrics 2
"Hands-on RL" Markov decision process
Time Series Analysis/Forecasting
Time Series Forecasting Challenge on Real Industry Data
Examining the diffusion effect of technology from the perspective of time series
2019-07-31 Predict readers' reading preferences
spatio-temporal data processing
Spatial Inequality in the COVID-19 Pandemic: Multiscale Geographically Weighted Regression
climate change
Common methods for climate change trend analysis
Modeling the impact of natural variability and human activities on climate change
Economic Data Analysis
Economic Growth Effect and Policy Effectiveness Evaluation of Poverty Alleviation Reform Pilot Areas
Correlation Analysis
Customer shopping order data - correlation analysis
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Author：Sweethess
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