As a part of our final project, we aim to analyze the likelihood of a Congress Bill to be passed given a set of variables.

```cv
gallery
{"layout":"hscroll","images":[{"src":"https://firebasestorage.googleapis.com/v0/b/maitake-project.appspot.com/o/pages%2FRuN2wvlytjhhUUUc86ezhuWFjb72%2F2c7oWsY4FcouBuwFgoDb%2Fde17a917-142e-483c-9081-6e7eb78b1d70.png?alt=media&token=db7bc51f-2667-449d-8a96-93afd76895a5","id":"de17a917-142e-483c-9081-6e7eb78b1d70","width":1164,"height":660,"filename":"201509044-ea9ce453-6db1-4a4d-96ce-b736c525d0d7.png","type":"image/png","caption":"","border":false}]}
```

Understanding the increasingly important process of forming regulations and laws in the country, we decided to explore the possibility in determining the likelihood of a proposed bill being passed by the House. This exercise can be useful for lobbyists, corporations in formulating political strategies, or even the general public during voting periods.

**Problem Statement:**

> To discover relevant factors that can help to predict the likelihood of a Bill being passed in the House

Dataset used in this exercise comes from [ProPublica](https://projects.propublica.org/api-docs/congress-api/)

*Member* - Details of Congresspeople in the House in each session with supporting information on leanings, gender, time served on the House

*Bills* - Details on the bills originating in the House in each session with supporting information on policy areas, sponsor, cosponsors, date of introduction, outcome of bill etc.

**Feature Vectors**

* Policy area

* Is the bill introduced by a Congressperson from the majority house?

* Number of cosponsors

* % of cosponsors from the majority house

* Is the sponsor in a leadership role?

* Political leaning of the sponsor [dwNominate](https://en.wikipedia.org/wiki/NOMINATE_(scaling_method)) Seniority of the sponsor

* % of votes against the party (sponsor)

Using the different models and optimization methods, we produced the following result:

```cv
gallery
{"layout":"hscroll","images":[{"src":"https://firebasestorage.googleapis.com/v0/b/maitake-project.appspot.com/o/pages%2FRuN2wvlytjhhUUUc86ezhuWFjb72%2F2c7oWsY4FcouBuwFgoDb%2Fe0f94ea6-4ee4-418d-aff3-833067340430.png?alt=media&token=fcca1654-b919-438a-911c-63212a2d9461","id":"e0f94ea6-4ee4-418d-aff3-833067340430","width":1162,"height":659,"filename":"201509275-12844e9b-4244-4e8e-b64b-3465baa00832.png","type":"image/png","caption":"","border":false}]}
```

### Main Findings

By observing the best model, we can draw several key insights as follows:

* Higher polarization leads to a higher success/fail rate of passing a bill

* Number of cosponsors in majority help in passing a bill

* Certain policy areas have higher likelihood of being passed (i.e. National Security, Emergency Management, etc.)

### Use cases

*Law Firms and Clients* - Consider a world where law firms are able to reach out to their clients and alert them that a bill is more likely to pass and explain how it would impact their business.

*Corporations & Lobbyists* - Our model has the ability to recreate how companies interact with Washington, helping them make decisions about investing efforts in the political process.

*Societal Impact* - Citizens will have the ability to stay informed about important bills impacting their personal lives like health and employment related bills. Political outcomes can be volatile and impact financial markets. Using our model, the prediction can promote stability.

Read more about the project [here](https://github.com/brianmulyadi/Designing-Data-Products)

Designing Data Products

안녕하세요!

Hey there, it's 2024, and this year, I've decided to tackle a new language: Korean. I've always been drawn to its awesome culture and incredible food, not to mention I've got some Korean pals I'd love to chat with in their native tongue!

Follow along as I jot down my weekly language adventures in this journal. Being a visual learner, it's my go-to for tracking progress—and who knows, maybe one day I'll pass on what I've learned to others.

Stay tuned for updates on this exciting journey!

**Week 1**

This week, we'll start with one of the most commonly used particles in forming sentences in Korean: **`은`** and **`는`**.

```cv
gallery
{"layout":"hscroll","images":[{"src":"https://firebasestorage.googleapis.com/v0/b/maitake-project.appspot.com/o/pages%2FRuN2wvlytjhhUUUc86ezhuWFjb72%2FKi3fUiCU9SNSCOun8vnj%2Fd6629f8a-b9df-420a-afe5-21ff6bda5c84.png?alt=media&token=4a6f8cda-461f-41e5-a916-e14087b2d457","id":"d6629f8a-b9df-420a-afe5-21ff6bda5c84","width":500,"height":500,"filename":"Week 1 - 1.png","type":"image/png","caption":"","border":false}]}
```

These particles are known as **topic markers**, used to indicate the topic of the sentence. The closest English equivalent is "*As for something.*"

For example, the sentence 저는 브라이언 이에요 can be translated as "As for me, I am Brian."

But why are there two versions, 은 and 는?

```cv
gallery
{"layout":"hscroll","images":[{"src":"https://firebasestorage.googleapis.com/v0/b/maitake-project.appspot.com/o/pages%2FRuN2wvlytjhhUUUc86ezhuWFjb72%2FKi3fUiCU9SNSCOun8vnj%2F7ba86464-da98-4e1f-ab48-c2ba7d01e576.png?alt=media&token=166032b0-937a-43c8-8559-06be849f8050","id":"7ba86464-da98-4e1f-ab48-c2ba7d01e576","width":500,"height":500,"filename":"Week 1 - 2.png","type":"image/png","caption":"","border":false},{"src":"https://firebasestorage.googleapis.com/v0/b/maitake-project.appspot.com/o/pages%2FRuN2wvlytjhhUUUc86ezhuWFjb72%2FKi3fUiCU9SNSCOun8vnj%2Fa575fb61-8486-4931-8a6d-47709e613381.png?alt=media&token=6cab4677-c8d0-4913-8bc9-b3d4f4cf1173","id":"a575fb61-8486-4931-8a6d-47709e613381","width":500,"height":500,"filename":"Week 1 - 3.png","type":"image/png","caption":"","border":false}]}
```

It's because in Korean, the final consonant of the preceding word determines which particle to use. Let's take the example of the previous sentence's topic, 저. The final consonant of this word is ㅓ, which is a vowel. Therefore, you pair this topic with 는.

On the other hand, if we take the topic 오늘, which means "today," the final consonant is ㄹ, which is a consonant. For this, you would match it with 은.

```cv
gallery
{"layout":"hscroll","images":[{"src":"https://firebasestorage.googleapis.com/v0/b/maitake-project.appspot.com/o/pages%2FRuN2wvlytjhhUUUc86ezhuWFjb72%2FKi3fUiCU9SNSCOun8vnj%2F0b560ed2-9b6b-46a2-ab48-998ad372a623.png?alt=media&token=1ec27867-ccc1-4d8f-9a11-87f362390915","id":"0b560ed2-9b6b-46a2-ab48-998ad372a623","width":500,"height":500,"filename":"Week 1 - 4.png","type":"image/png","caption":"","border":false}]}
```

Initially, this may seem complicated, but as you continue learning, it becomes intuitive because matching these particles helps in easier pronunciation.

See you next week!

Learning Korean

Afterlife Garden is an interactive device to help children understand and better connect to beloved family members who have passed away.

Present in many cultures around the world, families typically have a dedicated corner in their houses to celebrate the memory of their loved ones. We explore this opportunity to re-imagine how we can introduce subtle interaction to evoke emotions from the users.

Read more about the project [here](https://github.com/brianmulyadi/Interactive-Lab-Hub/tree/Fall2022/Final%20Project)

```cv
gallery
{"layout":"hscroll","images":[{"src":"https://firebasestorage.googleapis.com/v0/b/maitake-project.appspot.com/o/pages%2FRuN2wvlytjhhUUUc86ezhuWFjb72%2FYLioiaYPaBb3qJm1Qa83%2F6e9471da-fc45-4966-80a1-cba1851e49b4.mp4?alt=media&token=09142c39-d7e0-4448-a17d-efb138137c25","id":"6e9471da-fc45-4966-80a1-cba1851e49b4","width":480,"height":854,"filename":"afterlife_minn.mp4","type":"video/mp4","caption":"Afterlife Garden reels","border":false}]}
```

**Interactions:**

1. Users will pick one of the miniature urns and place it in the slot

2. The capacitive sensor will sense the touch and trigger the lights to follow the movement

3. Using p5.js, the screen will show the picture and biography of a family member assigned to that slot

4. The family member's favorite song will also automatically be played by the device

**Toolkit used:**

* Raspberry Pi

* Capacitive sensor (Adafruit)

* ServoKit

* Neopixel lights

* Laser-cutting

### Presenting the device on Open Studio day at Cornell Tech

```cv
gallery
{"layout":"hscroll","images":[{"src":"https://firebasestorage.googleapis.com/v0/b/maitake-project.appspot.com/o/pages%2FRuN2wvlytjhhUUUc86ezhuWFjb72%2FYLioiaYPaBb3qJm1Qa83%2Fe6d9043e-4a88-4621-a3e6-a37b0b549718.jpg?alt=media&token=d1c82b28-5d42-4d0a-870b-ceaf467ac7c6","id":"e6d9043e-4a88-4621-a3e6-a37b0b549718","width":960,"height":1280,"filename":"photo_2022-12-08_11-52-30.jpg","type":"image/jpeg","caption":"","border":false},{"src":"https://firebasestorage.googleapis.com/v0/b/maitake-project.appspot.com/o/pages%2FRuN2wvlytjhhUUUc86ezhuWFjb72%2FYLioiaYPaBb3qJm1Qa83%2Fa481acad-b6a8-43a8-8d54-340b6bbdb18d.jpg?alt=media&token=41cd50cf-6c1b-4984-92df-1b49bfe1508b","id":"a481acad-b6a8-43a8-8d54-340b6bbdb18d","width":720,"height":1280,"filename":"photo_2022-12-08_11-52-32.jpg","type":"image/jpeg","caption":"","border":false},{"src":"https://firebasestorage.googleapis.com/v0/b/maitake-project.appspot.com/o/pages%2FRuN2wvlytjhhUUUc86ezhuWFjb72%2FYLioiaYPaBb3qJm1Qa83%2F9bbebc3a-8a4d-4d35-926c-ba1037379d23.jpg?alt=media&token=8570aad6-cf4d-4083-88b5-058df4b4284f","id":"9bbebc3a-8a4d-4d35-926c-ba1037379d23","width":606,"height":1280,"filename":"photo_2022-12-08_11-52-34.jpg","type":"image/jpeg","caption":"","border":false}]}
```

Afterlife Garden

Using Jupyter Notebook, I created a simple data pipeline that pulls from [Ergast API](https://ergast.com/mrd/) to generate a visual that evaluates Formula 1 drivers' performance.

At every race, drivers have to complete a qualifying lap on Saturday and race on the next day. Qualifying result will determine the position of the grid for the race. This analysis will serve the function to observe the relationship between the two-day results.

Final product is then visualized using the Seaborn library `sns.heatmap()`

Check out the codes at my [Github](https://github.com/brianmulyadi)

### Final result:

```cv
gallery
{"layout":"hscroll","images":[{"src":"https://firebasestorage.googleapis.com/v0/b/maitake-project.appspot.com/o/pages%2FRuN2wvlytjhhUUUc86ezhuWFjb72%2FbEZdprQJN2HY5qmZb0Za%2F4bb31854-9e68-4b5b-9139-70bb3fc9c295.jpg?alt=media&token=304512d2-020e-4e96-8852-ca9ff229355e","id":"4bb31854-9e68-4b5b-9139-70bb3fc9c295","width":1600,"height":2000,"filename":"formula-1.jpg","type":"image/jpeg","caption":"","border":false}]}
```

This visual is very useful in analyzing the performance and consistency of each driver. Using Jupyter Notebook, the analysis workflow is repeatable and easy to adjust to accommodate other variables that needed to be explored.

Data Visualization on Formula 1

If you are not familiar with the chess clock, it consists of two countdown timers to track the amount of time left for each player to make a move. Every time a player makes a move, they will press the button to pause their time and resume the opponent's time. Once your time is up, you lose the game!

The requirements for this product:

* It has to show two countdown timers

* The user can set the time before starting the timer

* Player A's timer starts when the program is run

* When Player A's button is pressed, the countdown timer for A stops and the countdown timer for B starts at the same time. The color of the boxes also has to be swapped.

* When one player's timer reaches 0, show "Game Over" message

```cv
gallery
{"layout":"hscroll","images":[{"src":"https://firebasestorage.googleapis.com/v0/b/maitake-project.appspot.com/o/pages%2FRuN2wvlytjhhUUUc86ezhuWFjb72%2Fy7kZhPzGcqtGaogVKmb0%2F52f6aa62-2066-4b86-895f-d0be9f4e5b55.png?alt=media&token=d3313f94-a4f9-4bdc-9dee-a88da8173aec","id":"52f6aa62-2066-4b86-895f-d0be9f4e5b55","width":785,"height":952,"filename":"191149513-4011da9c-8f82-4eda-838c-c1f2205f4757.png","type":"image/png","caption":"Storyboard and setup","border":false}]}
```

To extend the functionalities of the chess clock, I plan to incorporate some of the sensors available and connect them to the Raspberry Pi.

I use the [Proximity Sensor](https://www.adafruit.com/product/3595) and the [SparkFun Qwiic Button](https://www.sparkfun.com/products/15932) for this project.

Here is how it is in action:

```cv
youtube
{"url":"https://www.youtube.com/watch?v=HgYfRfWJj0Q","width":200,"height":113,"thumbnail":"https://i.ytimg.com/vi/HgYfRfWJj0Q/hqdefault.jpg"}
```

Shout out to [Panda Xu](https://github.com/30PandaX/Interactive-Lab-Hub/blob/Spring2021/Lab%202/cli_clock.py) and [Joshua Schmidt](https://github.com/jschmidtnj/Interactive-Lab-Hub/blob/Fall2021/Lab%202/colorbar_clock.py) for the inspiration at Designing Interactive Devices class.