New Public Insights

These are recently updated publicly accessible Insights. In addition to public Insights, Insight Maker also supports creating private Insights.

Insight diagram
Test
8 hours ago
Insight diagram
interventionA
8 hours ago
Insight diagram
Sources:

1. http://www.bees.techno-science.ca/english/bees/pollination/default.php

2. http://elitedaily.com/news/world/humans-need-bees-to-survive/755737/

3. http://www.globalresearch.ca/death-and-extinction-of-the-bees/5375684

4. http://www.onegreenplanet.org/animalsandnature/the-disappearing-bees-and-what-you-can-do-to-help/

5. https://en.wikipedia.org/wiki/Colony_collapse_disorder

6. Model design idea from Rik https://insightmaker.com/insight/75089/2017-03-17-Idea-for-Simran

Clone of Bees and Colonies
8 hours ago
Insight diagram
My Insight-Supply chain
Insight diagram
Clone of Romeo&Juliet
8 hours ago
Insight diagram
Sports on Script
8 hours ago
Insight diagram
Title: Building a Science Simulation from Scratch
Total Duration: 5 Minutes
Format: Video presentation or walkthrough script
Part 1: Introduction & The Hook (0:00 – 1:00)
 * Visual: Speaker on screen, transitioning quickly to a screen recording of a working science simulation (like a bouncing ball physics model or a predator-prey ecosystem).
 * Audio / Voiceover:
   "Have you ever wanted to test a scientific theory without setting up a messy lab or writing thousands of lines of complex code? Today, we are looking at how to build your very own interactive science simulation from scratch in just five minutes. Whether you are modeling orbital mechanics, chemical reactions, or population dynamics, creating a simulation lets you turn abstract textbook formulas into something you can actually see, touch, and play with. Let's dive right into how you can set one up today."
Part 2: Choosing Your Tool and Setup (1:00 – 2:30)
 * Visual: Screen split or browser tabs showing Physion for physics or Insight Maker for systems/biology, highlighting the blank canvas.
 * Audio / Voiceover:
   "Step one is choosing the right tool for what you want to study. If you are doing mechanics or forces, a 2D physics sandbox like Physion lets you drop objects, add gravity, and tweak friction instantly. If you are looking at environmental science, biology, or economics, a system dynamics tool like Insight Maker lets you map out variables and flows without heavy programming.
   Once you open your platform, start with a blank project. Define your core components: what is your environment, what are your variables, and what laws govern them? For instance, if we are building a simple gravity drop, our environment needs a floor, a gravitational constant, and an object with mass."
Part 3: Coding or Configuring the Rules (2:30 – 4:00)
 * Visual: Showing a quick drag-and-drop action or typing a simple script/rule (e.g., setting velocity or birth/death rates in an ecosystem).
 * Audio / Voiceover:
   "Step two is establishing the rules of your universe. This is where science meets logic. In a code-based environment like JavaScript or NetLogo, you write a loop that updates positions or populations over time. In a visual builder, you link variables together with arrows and equations.
   Keep it simple for your first build. Don't try to simulate the entire universe at once. Focus on one core relationship—like how changing the angle of a projectile affects its trajectory, or how food supply impacts a rabbit population. Hit run, watch how the model behaves, and look for initial errors or bugs in your logic."
Part 4: Testing, Tweaking, and Wrap-up (4:00 – 5:00)
 * Visual: Adjusting a slider in the simulation to see real-time changes, followed by a final slide with project summary points.
 * Audio / Voiceover:
   "Finally, step three is testing and refinement. Change your variables—turn up the gravity, alter the temperature, or adjust the time step—and see if the simulation matches real-world scientific principles. If it breaks, that's half the fun of scientific modeling; it tells you where your logic needs adjusting.
   And that's it! In just a few minutes, you have a working, interactive science model that you can use for class projects, presentations, or deeper research. Head over to one of the recommended platforms and try building your first model today."

My Insight
Insight diagram
The effects or deer & possum on forest carbon 
Baseline v no browse
9 hours ago
Insight diagram
Sistem Ekonomi Data blm update terbaru
RTRW 2026_Kabupaten Sleman
Insight diagram
S-Shaped Growth Submission
9 hours ago
Insight diagram
Causal Loop Diagram
Insight diagram
My Insight supply chain
10 hours ago
Insight diagram
My Insight
10 hours ago
Insight diagram
Clone of Romeo&Juliet #1
10 hours ago
Insight diagram
To investigate how sika deer (Cervus nippon), hunters and beech forest interact over time and how hunting and food availability influence deer population dynamics.

Sika deer were introduced to New Zealand for game hunting in the early 1900s. Their population later increased to hundreds of thousands, causing significant damage to farming and forest ecosystems. They browse on the forest floor and understory vegetation, reducing forest regeneration and affecting ecological succession. Without any known natural predators, their population can grow rapidly.

draft 7 Deers vs Beech Forest
10 hours ago
Insight diagram
To investigate how sika deer (Cervus nippon), hunters and beech forest interact over time and how hunting and food availability influence deer population dynamics.

Sika deer were introduced to New Zealand for game hunting in the early 1900s. Their population later increased to hundreds of thousands, causing significant damage to farming and forest ecosystems. They browse on the forest floor and understory vegetation, reducing forest regeneration and affecting ecological succession. Without any known natural predators, their population can grow rapidly.

Clone of Deers vs Beech Forest
10 hours ago
Insight diagram
To investigate how sika deer (Cervus nippon), hunters and beech forest interact over time and how hunting and food availability influence deer population dynamics.

Sika deer were introduced to New Zealand for game hunting in the early 1900s. Their population later increased to hundreds of thousands, causing significant damage to farming and forest ecosystems. They browse on the forest floor and understory vegetation, reducing forest regeneration and affecting ecological succession. Without any known natural predators, their population can grow rapidly.

Clone 1a of Clone of Deers vs Beech Forest
10 hours ago
Insight diagram
To investigate how sika deer (Cervus nippon), hunters and beech forest interact over time and how hunting and food availability influence deer population dynamics.

Sika deer were introduced to New Zealand for game hunting in the early 1900s. Their population later increased to hundreds of thousands, causing significant damage to farming and forest ecosystems. They browse on the forest floor and understory vegetation, reducing forest regeneration and affecting ecological succession. Without any known natural predators, their population can grow rapidly.

The model starts with a deer population of 100 and evaluates the relationships between adult deer, young trees, hunter population, food availability, and mast events. Some factors are assumed to remain constant to make the model more manageable and focused.

Excluded factors:

  • Disease
  • Weather
  • Predators
  • Migration
  • Forestry operations

Assumptions:

  1. The deer population is represented as a single stock.
  2. All hunters behave similarly.
  3. Food availability depends on young trees.
  4. Hunting pressure increases with hunter numbers.
  5. Carrying capacity is fixed at 300 deer.
  6. Mast years increase food availability.
draft 6
8 10 hours ago
Insight diagram
Lab 2
10 hours ago
Insight diagram
Clone of Romeo&Juliet
10 hours ago
Insight diagram
Clone of Romeo&Juliet
10 hours ago
Insight diagram
CIO2026
11 hours ago
Insight diagram
To investigate how sika deer (Cervus nippon), hunters and beech forest interact over time and how hunting and food availability influence deer population dynamics.

Sika deer were introduced to New Zealand for game hunting in the early 1900s. Their population later increased to hundreds of thousands, causing significant damage to farming and forest ecosystems. They browse on the forest floor and understory vegetation, reducing forest regeneration and affecting ecological succession. Without any known natural predators, their population can grow rapidly.

Clone of Clone of Deers vs Beech Forest
11 hours ago
Insight diagram
My Insight
11 hours ago