"Don't be afraid of new arenas"- Elon Musk

In Earth We Thrive

Jack lives with his brother, mother and father nowhere to see. Everyday is the same for him, doing homework, until one day he and his brother’s only reminder of their parents are threatened to be contaminated by plastics. Wanting to do something about it, they go on to infiltrate the world’s largest plastic producer, but will they come out alive?

In Earth We THrive (1)


In this project, I improved at communicating my ideas, and using mine and others to make a final project. One problem we had was deciding on 1 idea to use. We combined all our ideas and came up with a final product

Tinkercad- Tiny House Prototype

Growing or shrinking eggs – conclusion

This is testable by others, as it clearly states where to put the egg in order to have a fair investigation. I also started each procedure with a verb or adverb. I also made the labelling for each clear, so that they would not mess up which egg goes is which, and get corrupt data. Some things I could have improved on is the amount of tests we did. In this investigation, we only did 1 test, before having the final result. Having multiple tests will make the data more reliable.

The egg’s membrane is selectively permeable. Only small particles are able to enter, for example, water, while bigger particles, such as corn syrup, are not able to enter. Some evidence is that the egg in water grew 17.88 grams, while the egg in corn syrup shrank 17 grams. Quantitative evidence is that when we cracked the egg in water, it had water inside.

A membrane of an egg is similar to the membrane of a cell, as they both are selectively permeable, only certain particles can enter and exit.

The yolk of the egg is similar to the nucleus of the cell as the yolk turns into the chicken while the nucleus controls everything.

The white of an egg is similar to the cytoplasm of a cell as they both hold together things inside of the egg and provide nutrients.

Tinkercad- Tiny House Prototype

 (Teammates didn’t have their initial design

As a collaborator I think I did a ok job. I did some of the work, then sent it to my teammates so they could work with it and use it in their blog.

River Field study – Data collection 3

The time of this collection is 20-Nov. The purpose of this trip is to see how the Wenyu river changes over time, and if we can detect any changes.

Area 1 fenced off

data collected

The pH of the river in all locations stayed about the same, while the turbidity changed rather randomly.

I wonder how the pH and the turbidity will change next time and if we can find out a pattern for turbidity. I also wonder if the pH will change next time.

What so what now what

We are currently having problems related to climate change and the use of plastics. I think this could be a big problem in the future.


An issue we are facing with a growing population is global warming. For example, carbon emissions increased 1.6% over the last year according to Clean energy is Surging but Not Fast Enough to Solve Global Warming by Brad Plumer. Water levels since 1993 have rose 0.11 to 0.14 inches per year. One thing I am doing is walking back home from violin class.

Foragers to Future

River Field Study – Data Collection 2


Collection site 1 and 2

Location 1:

pH: 9

Turbidity (NTU): 19.4

Location 2:

pH: 8

Turbidity (NTU): 73

Location 3:

pH: 8.5

Turbidity: 40


Location 1’s pH in October was higher than September

Turbidity in October was generally higher

Location 2’s pH in September was higher than in October.

I wonder if lower temperatures increase the turbidity and pH isn’t really effected by the temperature.

Stories of the Future: Day Zero

The 3 most urgent problems we need to solve by 2050:

  1. Global warming
  2. Feeding future population
  3. Poverty

2 wonders or questions about the future:

  1. What technologies will we develop to face these problems?
  2. What will the world be like?


I used to be pessimistic about our future but now, I am more optimistic about our future. This is because if we understand our problems, we can do something about them and solve them.

Food, water and communities all connect to each other. I think all these things are connected, because  everything in the list requires everything else. They are all also things we need to be considerate on how we use or change. All of these things are essential to our life.

Headline: Food, water and communities are all important and essential to our life, and future.

Big Data is a big helper

More than 40 thousand searches on google are being made every second and this is only one of the many great innovations that were caused by big data. Big data is improving our lives, but we still need be cautious while using it. For example, big data provides new innovations, big data helps make us safer but big data still poses a threat to our society. 

Big data can improve our lives, but we also need to be careful while handling it. One reason is that Big data provides many new innovations. For example, according to Tim Smith in “Big Data by Ted Ed,” the internet was invented to send data. Imagine what your life would be like without the internet! Another innovation that uses big data is machine learning. Machine learning has been used for many purposes such as detecting cancer cells and even search engines and translating tools. Therefore, big data helps us in many ways. As Kenneth Cukier says in “Big Data Is Better Data by Ted,” “More data doesn’t just let us see more, more data lets us see new.” This tells that using big data can help us more than just having small pieces of data and it is the basis for many innovations. 

Big data also lets us be safer. For example, according to “China: The World’s biggest Surveillance Network” by BBC, big data helps track criminals by using face recognition systems. This helps police to stop crimes faster. They state, “Our goal is to not only track criminals but also to be able to predict when crimes will happen.” “Next-Level Surveillance: China Embraces Facial Recognition” by Wall Street Journal says big data can also help track missing people. This may be used to help families that lost their child. Therefore, Big data helps our community to be a safer place. 

Even though big data can help us a lot, big data can still harm us. One way is machine learning. Machine learning does jobs better than humans. For example, the start of machine learning according to Kenneth Cukier in “Big Data Is Better Data by Ted, machine learning was first started by a scientist named Arthur Samual. Arthur made an algorithm to play checker with him. After a while, he lost every time because he made the computer fight himself and improve over time.  Another way is that others can use data to do bad things that you may not want them to do. For example, in “Fitness App Strava Lights Up Staff At Military Base” by BBC, says that Strava, an exercise app, can show the amount of activity in a certain area and military personal who use the app can be able to unintentionally give away secret locations. “Each piece of data is small but together they can pose a risk to security.” So, we still need to be aware of how we are using big data. 

Even though it is true that companies can use your data, but those companies can use the data that you provided them with and help improve their products. For example, according to Kennith Cukier, in “Big Data Is Better Data”, many innovations require data to function. Some examples of these are Search engines, Translating tools, and more. Therefore, big data is crucial for the development of important innovations. 

Big data can improve our lives, but we still need to be careful using it. This is because big data helps makes new innovations, lets us be safer but we still need to limit it. Big data is the key to the future but is also a double-edged sword if we do not think before using it. To be able to savor the benefits of big data is a wonderful addition to our daily lives.  




bbcnews. “China: ‘the World’s Biggest Camera Surveillance Network’ – BBC News.” YouTube, YouTube, 25 Dec. 2017, 


N/A. “Fitness App Strava Lights up Staff at Military Bases.” BBC News, BBC, 29 Jan. 2018, 


TEDEducation. “Big Data – Tim Smith.” YouTube, YouTube, 3 May 2013, 


TEDtalksDirector. “Kenneth Cukier: Big Data Is Better Data.” YouTube, YouTube, 23 Sept. 2014, 


WSJDigitalNetwork. “Next-Level Surveillance: China Embraces Facial Recognition.” YouTube, YouTube, 27 June 2017,

Big Data: art project

  My art is about the number of hours I sleep every day. My artwork looks like a bunch of circles with spikes of different sizes, lengths and colors.
            I created my art with colored pencils. I used the pencils to shade places when needed and also used rulers and protractors to make the work look better overall.
            The big idea around my artwork is the amount of sleep I do every day and how I can use this to improve my sleep habits. My artwork was heavily inspired by abstract artists who mainly used dots or circles to represent different things. I also was expressing how the amount of sleep you do every day effects your mood, attitude and how concentrated you are in the day.
            My goals for this artwork was to get better with colored pencils by trying out different techniques with them. I think this artwork helped me reach this goal by helping me practice using colored pencil.
            The final artwork that I made was not what I was expecting it to originally look like. For example, I originally was thinking to only add circles, as they represent the amount of sleep you do every day but then, I decided that sleep effects many factors so I continued adding ideas such as color, shapes and lengths changing as the amount of sleep I do every day changes. This artwork will influence my future artworks by knowing that It is ok to not stick with my original idea and create something different.


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