Evidence-Based Architectural and Urban Design

Course title

S0483000

,S0483001

,S0483002

Evidence-Based Architectural and Urban Design

HONDA Kumiko

Course description

Today, with the advancement of IoT and ICT technologies, data is being utilised in every aspect of life. In this lecture, we broadly refer to the planning of the relationship between architecture, urban areas, and humans as "design," and we will learn about data-driven architectural and urban design. Specifically, we will cover topics such as EBPM (Evidence-Based Policy Making) and DX (Digital Transformation) in the fields of architecture and urban planning, and we will extensively study the current state and challenges of data-driven architectural and urban design. During this time, we will also explain how various data utilisations are realised by different entities such as national and local governments, and companies, and discuss future challenges in data utilisation within the country. Additionally, we will lecture on the handling of personal information and ethics in data utilisation, providing fundamental knowledge so that participants can appropriately practice and understand data analysis and its application in design, whether they become the ones analysing data and applying it to design or the ones receiving the analysis results and designs based on data.

Purpose of class

To understand the recent trends in data-driven architectural and urban design both domestically and internationally.
To comprehend the remaining challenges in data-driven architectural and urban design and to develop one's own ideas for solving these challenges.
To understand the ethics of data utilisation and to appropriately grasp current issues related to data.

Goals and objectives

	Goals and objectives	Course Outcomes
1.	To understand the trends in data-driven architectural and urban design both domestically and internationally.	4.
2.	To comprehend the remaining challenges in data-driven architectural and urban design and to develop one's own ideas for solving these challenges	4.
3.	To understand the ethics of data utilisation and to appropriately grasp current issues related to data	4.

Relationship between 'Goals and Objectives' and 'Course Outcomes'

	In-class exercises	Total.
1.	20%	20%
2.	40%	40%
3.	40%	40%
Total.	100%	-

Language

Japanese

Class schedule

	Class schedule	HW assignments (Including preparation and review of the class.)	Amount of Time Required
1.	Introduction: What is data? / Why is data needed? - Acquisition and utilisation of data in everyday life	Self-study using distributed materials	190分
2.	Trends and examples of data-driven architectural and urban design in Japan and abroad	Self-study using distributed materials	190分
3.	EBPM (Evidence-Based Policy Making) and urban development	Self-study using distributed materials	190分
4.	DX (Digital Transformation) in architecture and urban areas	Self-study using distributed materials	190分
5.	The necessity of data-sharing platforms and challenges in their deployment within Japan	Self-study using distributed materials	190分
6.	Initiatives for open data by national and local governments	Self-study using distributed materials	190分
7.	Various platforms for data utilisation (e.g., RESAS, e-Stat)	Self-study using distributed materials	190分
8.	Practical data utilisation 1 - Using RESAS and e-Stat (Introduction)	Group work	190分
9.	Practical data utilisation 2 - Using RESAS and e-Stat (Practice)	Group work	190分
10.	Practical data utilisation 3 - Creating presentations	Group work	190分
11.	Practical data utilisation 4 - Reflecting on practice	Group work and presentations	190分
12.	Data reliability	Self-study using distributed materials	190分
13.	The development of data business and the handling of personal information in data utilisation	Self-study using distributed materials	190分
14.	Ethics in data utilisation - Is majority rule correct? Bias, etc.	Self-study using distributed materials	190分
Total.	-	-	2660分

Evaluation method and criteria

Assessment will be based on the results of in-class exercises.

Feedback on exams, assignments, etc.

ways of feedback	specific contents about "Other"
Feedback in the class

Textbooks and reference materials

None in particular. Materials will be distributed during the class.

Prerequisites

Review the distributed materials and keep up with current affairs related to data utilisation.

Office hours and How to contact professors for questions

Questions regarding this lecture will be accepted during class. Please feel free to ask questions.
Office hours: First semester, Wednesdays 13:00–13:30

Regionally-oriented

Non-regionally-oriented course

Development of social and professional independence

Course that cultivates an ability for utilizing knowledge
Course that cultivates a basic problem-solving skills

Active-learning course

More than one class is interactive

Course by professor with work experience

Work experience	Work experience and relevance to the course content if applicable
Applicable	Drawing on my experience in urban administration consultancy, I will teach the fundamental concepts of data utilisation in architectural and urban design.

Education related SDGs:the Sustainable Development Goals

9.INDUSTRY, INNOVATION AND INFRASTRUCTURE
16.PEACE, JUSTICE AND STRONG INSTITUTIONS

Last modified : Sat Mar 29 04:04:31 JST 2025