2018 Top 5 Teams of Excellence
Domestic Violence Prevention and Management
The team aims to set up an early warning mechanism against domestic violence abuse to protect victims, especially children and teenagers. Introduce machine learning and artificial intelligence, and build a family risk early warning management system to help social workers allocate resources more accurately to reduce the recidivism rate of child violence and abuse at home. At present, the Taipei City and New Taipei City governments have jointly launched an initiative to promote “Data Quality.” For this reason, Taiwan's Ministry of Health and Welfare has joined a public initiative called “D4SG (Data for Social Good) Program” with reference to the government-public cooperative model between the Department of Social Welfare of both the Taipei City and New Taipei City governments to analyze national families with a high-risk of domestic violence and abuse for home visitors to accurately monitor abuse cases. At the same time, there will be a one-stop service model established for high-risk families. For instance, the Taoyuan City government has begun to enhance its social safety net with reference to the model adopted by the Taipei City and New Taipei City governments.
Legal Aid and Assistance
This team strives to optimize the allocation of resources for vulnerable and disadvantaged groups. The effective provision of legal aid services can be done by combining data analysis, understanding resource coverage, proactively detecting resource allocation issues, finding the best integrated service base, and optimizing the resource allocation required by the disadvantaged and vulnerable groups. At present, the Legal Aid Foundation has begun to review regional performance and identify gaps in order to seek resolutions. In cooperation with the New Taipei City Government, the Foundation also provides a patrolling service to best address most important issues facing citizens of these two cities.
One-stop Rescue Services
The team focuses on emergency care communication and resource integration. Taking Kaohsiung's gas explosion accident in 2014 as an example, there was a platform available to integrate and communicate all relevant units, including the EOC (Emergency Operations Center), the fire department, the health bureau, hospitals and ambulances. This enabled them to communicate and report to relevant units at the same time on the same platform to reduce repetitive procedures, allowing the ambulance, medical and health units to collaborate more efficiently. Thus far, the "One Stop" system prototype has been set up to integrate with data stored in Kaohsiung ambulance mobile tablet system.
Saving water resources
The team uses big data and machine learning to detect tap water leaks. Local water pipe clocks of the sensors will be connected to a big data platform through which data will be collected and analyzed using machine learning to quickly find out the leak location and/or predict the possibility of leaks. This will significantly shorten the check time from the original 2 months to 1 to 2 days. The team has also been recommended and invited to participate in the accelerometer program in New Zealand to help local water companies improve their management of leaks. For instance, Taiwan Water Corporation has begun to use data analysis methods to detect water leaks in outlying islands of Penhu and Keelung thus water leak detection efficiency has increasingly improved.
The team works on air referrals and medical care refinement. Through the electronic consultation platform, electronic form automation, electronic signature signing, medical record data sharing and multi-party instant video consulting services, the team has succeeded in improving the medical care mechanism of air referrals from outlying islands. All relevant regulations and work processes have been resolved and the establishment of information systems has also been outsourced. The systems are projected to go online at the beginning of 2019. It is scheduled to pilot run in Taiwan's Orchid Island and Green Island before extending to other rural areas of Taiwan.
2019 Top 5 Teams of Excellence
The team focuses on local and household (hospice) health care improvement by
establish Home Health Care Information Service platform, to integrate existing
health care resources including professional service provider, home care knowledge
and related information initiative platform to activate Nursing Data Base with multi-
stakeholders interaction mechanism in order to optimize public and private health
care resources with comprehensive-friendly literacy, and prepare for the aging
society. Ministry of Health and Welfare.
Angels of the Aged
The Team works on ameliorating the elderlies living circumstances by concatenate
data bases across public sectors including household statistics, building and land, and
construction to compile the Elderly Settlement Index, therefore, a settlement need
short list of elderlies can be reckoned and become visible. This list can be shared by
relevant authorities to further provide in-time assistance, dwelling demand for
The team strive to find a solution for people to easily read and understand the
sentencing in real-time references, so that the legal terms in the court's judgment
can be instantly translated into common phrases, helping the public to understand
the contents of the court's judgment. On the other hand, the judicial authority can
use the help of artificial learning to automatically distill factors for determining
sentences on drunk-driving incidents.
The team aims to develop a fraudulent loans and short selling detection system to
reduce such crime occurrence. Public information revealed by listed company and
over-the-counter company is the main body of the detection system apply, which
machine learning will conduct in accordance with updated macroeconomics data.
The detection system can be helpful to reduce fraud cases by reduce period of
Gov Data Opener
The team works on an interactive platform to handle data requests by analysing
applications and government responses, which response to difficulties when citizens
and public servants encounter accessing government data by collecting and
following those data request cases. The team then develop a useful tool to identify
key reason(s) of rejection cases. This platform aims to provide to the National
Development Council for further application.