Title	HOPE TO WEAR
Brand	VOLUNTEER SEARCH AND RESCUE SQUAD "LIZAALERT"
Product/Service	SEARCH FOR MISSING PEOPLE
Category	A05. Data Visualisation
Entrant	ARTICUL MEDIA LTD Moscow, RUSSIA
Idea Creation	ARTICUL MEDIA LTD Moscow, RUSSIA
Media Placement	ARTICUL MEDIA LTD Moscow, RUSSIA
PR	ARTICUL MEDIA LTD Moscow, RUSSIA
Production	ARTICUL MEDIA LTD Moscow, RUSSIA

Name	Company	Position
Georgy Aristakesyan	Articul Media LTD	organization of the process
Andrey Smuk	Articul Media LTD	creative ideas
Evgeniya Koroleva	Articul Media LTD	smm
Ekaterina Stoykova	Articul Media LTD	communication with the client

Why is this work relevant for Creative Data?

Social project "Hope to Wear" in cooperation with volunteer search and rescue squad "Liza Alert". Volunteer designers dress up the missing people in the clothes in which they disappeared. This increases the likelihood of recognition in a crowd by other people. For this, a chat bot and other digital technologies are used. With simple tools, the likelihood of saving lives is increased.

Background

The outfit which a missing person was last seen wearing is usually different from what the description in the bulletin says. As a result, we have bulletins with an old picture of a missing person wearing totally different clothes that they were actually wearing in the moment of disappearing. We decided the digital industry can help to find missing people even sitting on the couch with the laptop. By little PR-booze we found a lot of volunteers and have created a community of compassionate designers. Now volunteer designers receive photos with descriptions through the chat bot and change missing people’s clothes with graphical apps and dress-constructor on Viewst.

Describe the Creative idea / data solution (20% of vote)

The idea is to "dress" the people in the photo into the clothes that are described in the guidelines. The human brain perceives and memorizes visual information better. If the orientation depicts a man in a T-shirt with a bear, then many subconsciously begin to peer at people in T-shirts with a bear. And if a person disappears in some other clothes, then most of those who have seen the orientation are likely to miss him. We decided that the digital industry can help make finding missing people more efficient. Now you can help the search team not only by going out into the woods, but also from the comfort of your home.

Describe the data driven strategy (30% of vote)

Volunteer designers receive descriptive photos via a chatbot and change missing people's clothes using graphic apps and a clothing maker. This often happens in near real time. More than 1000 designers are registered in the project. Several missing persons receive our chatbot a day for “dressing up”. Free designers “dress up” the missing person in 15-20 minutes and send the updated orientation to the search group. Due to the efficiency, the chances of finding a person increase significantly.

Describe the creative use of data, or how the data enhanced the creative output (30% of vote)

Volunteer designers receive descriptive photos via a chatbot and change missing people's clothes using graphic apps and a clothing maker. This often happens in near real time. More than 1000 designers are registered in the project. Several missing persons receive our chatbot a day for “dressing up”. Free designers “dress up” the missing person in 15-20 minutes and send the updated orientation to the search group. Due to the efficiency, the chances of finding a person increase significantly.

List the data driven results (20% of vote)

The only indicator of the project's usefulness is the number of people who returned home safely after being found from the updated photo. The project is several months old and too little time has passed to summarize, but we can definitely say that the search speed has increased and the percentage of people returning home is growing dynamically. This is the story of “digital technologies in the service of man”. Join us! Only together we can change the situation and make this world safer.