DISCLAIMER: Everybody's journey through antidepressants is different, and Black Box only portrays an exaggeration of one potential experience through a fictional character. This is not meant to dictate or represent any specific person's experience and will not resemble everybody's history with mental illness or medications.

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Urban Picasso is a sculpture displayed in Graffiti Alley, a legal graffiti wall in Cambridge. Made out of discarded spray paint cans, the sculpture represents the mystery of who paints in Graffiti Alley.

Every day people paint in Graffiti Alley, a legal graffiti wall in Cambridge, but they come and go inconspicuously. The only evidence that they were there is the paint on the wall. People walking by are left to wonder who the painters are. Urban Picasso evokes the mystery of who paints in Graffiti Alley. This sculpture is meant to pay respects to all artists who have painted on the walls of Graffiti Alley. Made out of spray paint cans, the sculpture represents a person hanging onto the posts that hold up the canopy. It playfully suggests the spray paint cans got up and copied the people they saw painting on the walls.The cans were collected in Graffiti Alley over the course of 3 days; a bucket was left with a sign, "please donate..." and the painters left 31 cans. By relying on community engagement in this way, the sculpture further links the underground painters with the audience for their work.

Kenzie:
Eat Ugly is a campaign modeled on the body positivity campaign. This campaign aims to reduce food waste by raising awareness of all the produce thrown away for aesthetic reasons: 50% before it reaches stores. Eat Ugly challenges the idea of normative standards of beauty for food and humans. The hope is to change the societal pattern of picking fruits based on aesthetics. Eat Ugly's main goal is to encourage people to recognize that "ugly" produce still tastes good. Eat Ugly Campaign targets consumers with stickers and posters because once companies know that people will buy "ugly" produce, companies will buy it from farmers and stop wasting this produce. 

During open innovation, Eat Ugly has developed a cart that visits farmers markets in the Boston area. This cart is an interactive way to reach the community and further our social campaign. There was a lot of positive feedback from locals in the cambridge area about Eat Ugly, so the goal is to expand and spread awareness to places around Boston.With its vibrant, recognizable logos and posters, Eat Ugly strives to inspire self-reflection in the food industry and in consumers, in the hope of changing people's habits and ideas, so that they learn to value taste and nutrition above appearance in food. The cart also gives out samples of ugly fruit so that consumers will realize that it tastes the same. The cart conveys ugly fruit and personifies it with a runway for ugly fruit to go on. The hope is that consumers will see the cart and engage and take photos. 

Dina:
Eat Ugly Cambridge tackles the enormous amount of perfectly tasty produce that is thrown away each year based on superficial abnormalities. The campaign engages locals through social media and appearances at farmers markets. The members of Eat Ugly take a booth to market that is specially designed to be brought on the subway. This booth consists of three wooden crates that are used for storage during transport and then stacked and tied together at the market. A detachable table-top is then fastened into place. A canvas tablecloth decorated with the campaign logo, the words “Eat Ugly” in a watercolor-inspired type, and friendly fruit and vegetables is laid on the table. Several items are set out to catch the market patrons’ eyes, including quarter-page flyers and Eat Ugly stickers. The main attraction is a runway designed for fruit, complete with LED “stage lights” and a glittering gold curtain. When people visit the booth, they are invited to take a picture of their ugly market-purchased produce on the runway and post it on social media using our hashtag. Additionally, customers can sample slices of fresh fruit. The hidden twist: the fruit they are tasting is ugly! The purpose of the setup is to introduce as many people as possible to the positive environmental impact of eating ugly.

Lauren:
A social campaign aimed to eliminate food waste by embracing produce of all shapes and sizes and eating misshapen produce.

Almost 50% of produce is thrown away before reaching the food markets because of blemishes or being misshapen. For example, two apples that have grown and morphed into one apple is considered an ugly fruit. Many distributors would discard it, believing that it would not sell. Consumers are less likely to buy a weird-looking carrot because they fear that it might be "defective" or rotten.

Eat Ugly Cambridge is a movement that hopes to dispel this misconception by targeting consumers through handing out stickers, posting fliers, and bringing an interactive and educational cart to the local farmers' markets throughout Boston. An important component of the cart is a fashion runway, similar to those in beauty pageants, that is designed to glorify and promote "produce body positivity". Consumers can place their ugly produce on the runway and take pictures of it as a proud shoutout to the beauty of ugly produce. Taste tests will be conducted to demonstrate that no matter the shape, all produce still taste the same. The public will be offered slices of ugly fruit to promote the fact that despite its grotesque appearance, it's still safe to consume and tastes good. This campaign hopes to impact society's view on ugly produce. By inspiring consumers to be more inclusive and less picky about the appearance of their produce, suppliers will no longer have to throw away pounds and pounds of tasty, nutritious produce.

Caitlin Haggerty:

Chains: A wearable designed to bring together women who have felt the effects of gender inequality and rape culture. Wearing this jewelry will bring up necessary conversations about our society.

Over the course of human history, it has been believed that beads’ characteristics represent emotions and experience. Chains draws inspiration from this and uses different charms to symbolize experiences. For example, the third layer has 9 lip charms painted red and 1 unpainted to symbolize how 90% of rape victims do not speak up. By wearing this jewelry, women can show their pain and find comfort in others who have felt it too. There is healing in community, in empathy, in sisterhood.

Molly Rosenberg:

Chains: a wearable that unites women and aims to start conversations around rape culture and the inequality women experience in society. The project incorporates chains, symbols, and different colors; each piece of the necklace brings awareness to different parts of women's injustice in society and unites women to help find their voice.

The art of beading has played a key role in many different cultures. In African communities beads were used to protect their wearers from bad spirits and to represent emotions and experience. Chains contains six necklaces layered together at different lengths in order to create a story. Each individual necklace represents a statistic relating to the rape culture and the hard truths about its affect on women. Different laser cut symbols are assembled as the charms on each necklace; each symbol relates to the given statistic in order to help the user visualize the data. The main color used to show percentages and fractions in Chains is red which is typically a color associated with blood, heat, passion, fire, and leadership, all of which amplify the main message of the project. Women continue to feel silenced and unable to share their stories of injustice; Chains helps them gain a voice and be apart of a bigger community by understanding that they are not alone. There is healing in sharing, realizing, and understanding others' pain.

Nicole Katz:

Chains: This wearable piece is about gender inequality and rape culture in America. Through different shape and color charms, we demonstrate the truly real statics of rape culture for women. While incorporating chains, beads, symbols, and different colors this piece represents every victim and gives them a voice.

This wearable piece is a way of taking away the silence to an important topic. Millions of women in the world are silenced to a tragedy and inequality and are too afraid to speak out. We wanted to use our wearable to bring awareness of the reality and progression of a serious issue in the American society. With different colors charms being white and red, we represent the statistics. We start with the top chain which has the number 321,500 which represents the 321,500 victims (age 12 or older) of rape and sexual assault each year in the United States. This is the top chain because it is the baseline statistic of rapes REPORTED. The next chain was the 6 women symbols, 5 white and 1 red to represent the statistic that 1 out of 6 women in America experience attempted or completed rape. This shocking statistic really shows how common rape is in our society. The next chain is 10 lips, 9 red and 1 white to represent the 90% of victims who stay silent.  This is a very important message because our main inspiration was the me too movement which encourages victims to come out of the silence. The neck chain was 9 red women and 1 white man to represent that 90% of rape victims are females. This shows the inequality not only in rape culture but in general. The next chain is 17 white red-cross symbols and 3 red symbols to show the 3/20 victims who attempt suicide. This shows the severity and results of being raped because no one's life is not worth it. The last chain is 19 red eyes and 1 white eye to show the 19/20 victims who experience PTSD as a result of being raped. The harsh reality of our necklaces hope to bring awareness to this topic and stop tragedies and inequalities from happening

Lockers is an interactive art installation that targets the problem of gun violence in schools in the 21st century. It is composed of 226 small wooden lockers, each dedicated to a person whose  black-and-white abstract picture and stenciled information (name, age at death, school of death, and a few interesting facts that makes them unique) are backlit by LED lights. Lockers honors the memories of the lives that were unjustly taken, sending the message that gun violence in schools occurs too often.The goal is to reach gun rights supporters in the hope that when they see these victims as actual people who had incredible potential, and not just as another statistic, they will be inspired to push for stricter gun control laws. As viewers you can go up and open each locker and discover the story of a life that is no longer with us and have time to reflect on the effects of gun violence.

The Charles River is one of Boston's most iconic features, yet it is one of the most toxic rivers there is. It can reach 9 on the pH scale, contains high levels of phosphates and nitrates, and has high levels of heavy metals. It is so bad you are supposed to wear shoes when swimming in the river.

The "Tessellating Gardens" presents a potential solution to address this issue. It will biologically filter out chemicals such as phosphates and nitrates as the plants grow and mussel/oyster chains that naturally reduce heavy metals. The plant beds themselves are hexagon shaped and can tessellate in order to be modular and adapt to whatever the plants and environments require. The hope is that over time and with investment, the garden will be able to make the River a cleaner, more hospitable place for more than just humans and spread awareness of the potential to rebuild using recycled materials.

Daria's Brief:

The Duckiebot is a self-driving robot that navigates Duckie Town, a miniature city. It was inspired by self-driving car technology, including lane, light, and color detection. The DuckieBot is made up of a simple plastic chassis, a Pi camera, and a Raspberry Pi computer that processes all the programs that control the bot. To control the robot, the Pi camera records a live video stream, which is then processed by the Raspberry Pi according to pre-written Python programs. 

To detect lanes, the computer uses color recognition to find the center dashed yellow lines, right white lines, and red stop lines. It then uses Canny Edge Detection and the Hough Transform to find the edges of these lines. After combining all of the endpoints of the lines on each side of the lane marker, it finds the best fit lines for both sets of points. To drive from these lines, the Duckiebot tries to match the slope of each line to an ideal, pre-calibrated slope. Based on the difference between the target slop and the actual slope, the Duckie Bot decides if it should continue straight or turn in one direction or the other. 

At intersections, which it recognizes using the red line, it first looks for stop signs. To detect stop signs, it uses a Haar Classifier (a tree-based classifier) to find the stop signs and then filters each potential stop sign to make sure it is in fact red. If it sees either, it obeys the rules of that signal before continuing. Once it is ready to turn, it looks for other red lines in its field of vision to figure out which turns it could make without driving off the turn. It then randomly makes a decision between the possible turns and completes the chosen turn before continuing with the lane following. Overall, the Duckiebot is a complex robot running many layers of programs that allow it to interact with Duckie Town in as many ways as possible. 

Sina's Brief:

A small, car-like robot that can drive autonomously to navigate a miniature town. An onboard Raspberry Pi controls the robot’s two wheels and filters a camera feed to detect key features of the road.  

The Duckie-Bot is a small, car-like robot that can drive autonomously to navigate a miniature town. It is inspired by self-driving cars and the computer vision behind them, including image, light, and color detection. An onboard Raspberry Pi controls the Duckie-Bot’s two wheels and filters a camera feed from the front of the robot to detect key features of the road. There are two main processes that drive the Duckie-Bot:  the filter process, and the motor process. The filter process detects the key features, including road lines, stop lines, traffic lights, and stop signs. Most of these detections are color-based, they look at specific regions of the image that contain the color they are looking for, and then run detections like line or light detection. Then the filter process determines how the things it detects relate to the Duckie-Bot by running them through a series of parameters and seeing if they fit them.  When it finds the road lines, it looks at their slope to determine if the Duckie-Bot is facing the correct direction. When at an intersection, it looks for where it can turn. Then the filter process tells the motor process to power certain motors depending on how the Duckie-Bot relates to what it detected, like turning right at an intersection or turning left to stay oriented with the road lines. A separate motor process is necessary to ensure that the Duckie-Bots wheels can be controlled without causing the filter process to come to a halt. These two processes work together to create a Duckie-Bot which can detect and navigate through all of the features of Duckie-Town.