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LocationMind Co., Ltd. Joint development of “Poverty Impact and Vulnerability Assessment Tool” in the Philippines with the Asian Development Bank

LocationMind Inc.
Jointly Developing Poverty Impact and Vulnerability Assessment Tool in the Philippines with Asian Development Bank
Signed a subsidy agreement for “Urban Development Technology Innovation Challenge” by Advanced Technology Trust Fund of Asian Development Bank.

LocationMind Co., Ltd. (head office: Chiyoda-ku, Tokyo, CEO: Naoki Kiritani, hereinafter referred to as our company), a location information AI/satellite intelligence venture, has entered into an advanced technology trust with the Asian Development Bank (official name: Asian Development Bank, hereinafter referred to as ADB). We are pleased to announce that we have signed a subsidy agreement for “The Urban Development Technology Innovation Challenge” by the High-Level Technology Fund (HLT Fund). The contract supports the development of the company’s Poverty Impact and Vulnerability Evaluation Tool (PIVE) in the Philippines.
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PIVE combines mobile data, satellite image data, census data, field survey data, etc., to provide integrated support for decision-making by policy makers, NGOs, and other stakeholders involved in disaster management, urban planning, etc. It’s a tool designed and we are responsible for its development.
The effort builds on an ongoing ADB technical assistance project that tested the feasibility of creating granular poverty maps using satellite imagery and machine learning algorithms to include a wide variety of data sources. is.
For example, satellite data provides information such as changes in housing numbers in areas with active development and poor areas, as well as an increase in the number of high-rise buildings, while national census provides information on annual income and household information. By integrating multiple data such as this, PIVE complements the existing regional infrastructure management system, and by “visualizing” the impact of social changes on people with social vulnerabilities, national and local governments We support institutions to consider and implement countermeasures.
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Framework of PIVE

Contribution to SDGs (Sustainable Development Goals)
In order to deliver appropriate support and policies to the people and communities of the Philippines, it is first necessary to identify vulnerable communities, and the integrated digital data assets provided by PIVE are expected to make a major contribution here. will be By constantly updating, maintaining, and accumulating the information and quality obtained as digital assets, it will be possible to gradually expand the range of services that can be provided, which will also lead to support for the SDGs.
PIVE contributes to 5 SDGs goals.
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1. end poverty
PIVE helps identify the most vulnerable communities and people in poverty. By identifying regions and groups in need of support, such as improving the living environment and improving access to medical, educational, and economic opportunities, it will be possible to implement appropriate support programs based on evidence. By providing data on local economic activities and resources, we promote economic development, support efforts to reduce poverty and inequality, and contribute to poverty reduction.
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Ten. End inequality between people and countries
PIVE will use data to identify areas with low or low access to essential services such as electricity, gas, water, telecommunications and transport infrastructure, and help reduce inequalities. In addition, as a platform for sharing community experiences, it will contribute to improving the lives of marginalized groups, improving public health, and bridging the digital divide.
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11. Creating a city where people can continue to live
By providing data such as people’s movement patterns in urban areas, we will improve access to necessary services, such as developing sustainable transportation systems and alleviating traffic congestion. Also, some areas of the Philippines are located below sea level and are at high risk of flooding in the event of a typhoon. The
identification of safe locations during past floods and typhoons is combined with movement patterns to assist disaster risk reduction planning and contribute to risk avoidance and increased resilience. [Image 6d58353-10-ed2488041d2169dd5f4e-8.png&s3=58353-10-10d2f291eaffb6511e9633b2cee40d10-1276x1276.png
15. Protect the richness of greenery
By enabling the monitoring of natural resources such as forests, water bodies, and agricultural lands, it supports rethinking urban planning to make lands less susceptible to natural disasters. In addition, by providing data on the impact of human activities such as urban development on the natural environment, it will be possible to develop urban planning and countermeasures to reduce deforestation,
desertification, and land degradation, as well as prevent illegal dumping and water pollution that lead to environmental degradation. It can be used for grasping trends and estimating hot spots for epidemic outbreaks after floods.
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17. Achieve your goals with partnerships
By providing a common platform for data sharing and analysis, PIVE facilitates collaboration among government agencies, NPOs, NGOs, private organizations and local communities to enable more effective and sustainable development. to It also supports the monitoring and evaluation of development programs to help verify that intended goals are being achieved and resources are being used effectively.

Future activities
Under this agreement, the Company will cooperate with national and local government agencies such as the ADB Innovation Hub, Local Government Units (LGUs), Philippine Statistics Authority (PSA), Department of Home Affairs and Local Government (DILG), NPOs, NGOs, and the University of the Philippines. While working closely with academic institutions, we will strive to develop and implement PIVE with the aim of improving the lives of the poor and addressing vulnerabilities in the Philippines.
PIVE holistically interprets and assesses the distribution of poverty and vulnerability in each community in response to dynamic social change, which is supported by targeted interventions and policies in areas of greatest need. Accelerating activities and strengthening efforts to address problems will also lead to greater effectiveness of aid. In this way, we will provide knowledge and data through PIVE to improve the comfort of living and resilience when problems occur.

Response at Economist Forum
The deal was preceded by a presentation by the PIVE team at the Asian Development Bank Economist Forum on January 18-20, 2023 to capture the interest of attendees, including ADB Chief Economist Dr. Albert Park. It was well received and collected. The system of providing and utilizing knowledge and data useful for urban planning and disaster countermeasures of the PIVE project is very consistent with the theme of this forum, “Towards a resilient future,” and its impact on the future is highly evaluated. it was done.
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Poster presentation at the ADB Economist Forum (From left: Mr. Timothy Alconga, Executive Director of NPO Salt Payatas, Dr. Albert Park, ADB Chief Economist, and Professor Noriel Tiglao, Co-Founder of
We will contribute to further sustainable development and economic development through this project.

■ About Asian Development Bank
A multilateral development financial institution established in 1966 with the aim of promoting economic growth and economic cooperation in the Asia-Pacific region and contributing to the economic development of developing countries.
Launched in 2021, the ADB Innovation Hub aims to foster a culture of innovation within ADB and to design innovative solutions with developing member countries to address complex development challenges. The Advanced Technology Trust Fund is an ADB-administered multi-donor trust fund established in 2017 to promote the use of advanced technologies and innovative solutions through projects that address development challenges. The Japanese government is the first donor of the fund.
■ About LocationMind Inc.
An AI venture company from the University of Tokyo that aims to socially implement the location information analysis technology of Professor Shibasaki’s laboratory at the University of Tokyo. A data scientist group with a wide range of technologies related to location information
Company name: LocationMind Inc.
Location: PMO Kanda Tsukasacho 4F, 2-8-1 Kanda Tsukasacho, Chiyoda-ku, Tokyo Representative: Representative Director Naoki Kiritani
Established: February 2019
Business description: Analysis, prediction, consulting, dashboard development and provision of people flow using location big data and IoT, security services using positioning satellite systems

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