Announcement of sponsorship of the "1st Ministry of Land, Infrastructure, Transport and Tourism Geospatial Information Data Challenge - National Land Numerical Information Edition"
We are pleased to announce that we will be sponsoring the "1st Ministry of Land, Infrastructure, Transport and Tourism Geospatial Information Data Challenge - National Land Numerical Information Edition", a real estate industry-wide data competition utilizing national land numerical information, hosted by the Real Estate and Construction Data Utilization Promotion Association (a general incorporated association) and the Ministry of Land, Infrastructure, Transport and Tourism.
Digital land information is basic geospatial information about the nation's land, and is widely used in the consideration, promotion, and evaluation of national land planning, land and real estate policies, regional revitalization policies, etc. This competition is a data competition that utilizes digital land information, and aims to expand the number of users of digital land information and expand efforts to utilize data by awarding and publicizing excellent data utilization cases. In order to contribute to the vitalization of the competition and the promotion of the utilization of digital land information, we will hold a study session on building a rent prediction model, and Takehiko Hashimoto of the Advanced Innovation Strategy Center (AISC) will be the lecturer, and will also be speaking at a panel discussion at the kickoff event to be held on October 9th.
Takehiko Hashimoto
After working at Sier (engineer for 5 years, researcher for 2 years) and a marketing research company (3 years), he joined BrainPad Inc. in 2008 as a senior data scientist, where he was mainly involved in data analysis in the marketing field and launching new businesses to train data scientists. He participated in the launch of the The Japan DataScientist Society, and was appointed Secretary General of the organization in 2015 (-2018). He also focuses on industry-academia collaboration and human resource development activities, such as giving lectures at multiple universities, including Shiga University, Keio SFC, and Waseda University. In April 2017, he joined GA technologies and participated in the launch of the Advanced Innovation Strategy Center (formerly the AI Strategy Office). He is responsible for the Group's data management and external affairs. From April 2019, he has been a visiting associate professor at the University of Electro-Communications, National University Corporation, Industrial Academic-Government Collaboration Center. From April 2021, he has been an industrial advisor at the Faculty of Data Science, Shiga University, National University Corporation. Member of the Ministry of Land, Infrastructure, Transport and Tourism's Real Estate ID Rule Review Committee from April 2020 to March 2021. Publications: "Data Science Exercises for Working Adults" (Statistics Bureau, Ministry of Internal Affairs and Communications), "Statistics Guidance" (Nihon Hyoronsha/co-author), and others.
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[Data Competition Overview]
Name: 1st Ministry of Land, Infrastructure, Transport and Tourism Geospatial Information Data Challenge ~National Land Numerical Information Edition~
Organized by: Ministry of Land, Infrastructure, Transport and Tourism, Geospatial Information Division
Management Office: General Incorporated Association, GIS and People Flow Data Committee Secretariat, Real Estate and Construction Data Utilization Promotion Association
Opening Ceremony: Wednesday, October 9, 2024
Event period: Tuesday, October 15, 2024 to Friday, December 13, 2024
Conditions for participation: Those who agree to the competition participation terms and conditions (parental consent is required for minors)
Management Office: General Incorporated Association of Real Estate and Construction Data Utilization Promotion Association GIS and People Flow Data Committee Participating companies SIGNATE Co., Ltd., YX Partners Co., Ltd.
Theme: Building a rent prediction model using digital land information
Proposing ideas to increase property values in the real estate market
<Event categories>
1. Modeling Category
Task: Develop a model for predicting real estate rents by utilizing digital land information and data from private companies provided.
Submission: Prediction results
Evaluation method: Quantitative evaluation based on prediction accuracy
Submission Deadline: Friday, December 13, 2024, 23:59
*Only award candidates are required to submit a simple report.
2. Idea Category
Task: Propose ideas to increase property values in the real estate market through analysis of provided data, mainly digital land information.
Submission: Report
Evaluation method: Qualitative evaluation by screening
Submission Deadline: Friday, December 13, 2024, 23:59
<List of data provided for analysis and environments provided by supporting companies>
■ Data
- National Land Numerical Information (provided by the Ministry of Land, Infrastructure, Transport and Tourism)
"National Land Numerical Information" is GIS data that includes geospatial information for the entire country.
-Registry office map data (provided by the Ministry of Justice)
Digital data of maps and drawings related to real estate registration "Maps provided at the Registry Office"
- Property data (provided by LIFULL Co., Ltd.)
Rental prices and property information for apartments and condominiums nationwide from 2019 to 2023
- ZENRIN Maps API (provided by ZENRIN Co., Ltd.)
API with functions that can be used for preprocessing and feature creation, such as address cleansing and map drawing
■Analysis environment, etc.
- Study session for revitalizing competitions (provided by GA technologies, Inc.)
Provides learning content that teaches the process of predicting rents using Python, using data such as digital land information.
- Land Bank (provided by Netdata Co., Ltd.)
"Land Bank" is a MAP-based sales support digital transformation service that visualizes various real estate information such as price per tsubo, census statistics, and school districts.
-Databricks analysis environment (provided by Databricks Japan Co., Ltd. and Microsoft Japan Co., Ltd.)
Provides data analysis and dashboard creation in Japanese (natural language), predictive model building for advanced analysts, and an environment for inference execution
- Snowflake analysis environment (provided by Snowflake LLC)
Snowflake analysis environment for data analysis, model creation, etc., and the computing resources required for its use
■ Management Secretariat Structure (including sponsorship)
- Discussions and collaboration in overall management and in planning and promoting the competition (Participating company of the GIS and People Flow Data Committee of the General Incorporated Association, Real Estate and Construction Data Utilization Promotion Association)
- Data Analysis Competition Environment (SIGNATE Co., Ltd.)
Participant registration, data distribution, analysis result reception, real-time prediction performance evaluation, ranking table display, etc.
- Data competition planning and promotion/secretariat function (YX Partners, Inc.)
Clarifying issues, creating questions and acting as the secretariat for holding data competitions
<Opening Ceremony Kickoff Event>
The 1st Ministry of Land, Infrastructure, Transport and Tourism Data Competition - Special Feature on Digital Land Information - Opening Ceremony
Date and time: Wednesday, October 9, 2024 17:30-20:00
Location: 1-4-4 Kojimachi, Chiyoda-ku, Tokyo (LIFULL Co., Ltd. Head Office 8th floor)
Capacity: 50 people
<Panelists>
Hideo Saito, CEO/Founder, SIGNATE Inc.
Takuro Okada, Representative Director, Financial Data Utilization Promotion Association
GA technologies, Inc. Product Management Product Manager AISC General Manager Takehiko Hashimoto
<Moderator>
Representative Director of the General Incorporated Association for the Promotion of the Use of Real Estate and Construction Data / Representative Partner of Digital Base Capital Co., Ltd. Shun Sakurai
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