New Public Insights

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

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The effects or deer & possum on forest carbon 
actual
just now
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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.

Deers vs Beech Forest
6 just now
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Bankrekening
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Success to the Successful
1 minute ago
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Clone of interventionA
2 minutes ago
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miljöövervakning
3 minutes ago
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Модель ВБ от 131026
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population example - more converters
Population with Converters (2026)
3 minutes ago
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Assessment 1 - Modelling Project
5 4 minutes ago
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Manuál - ukázka
4 minutes ago
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Pakistan bee-forage restoration model (simple version).
Chain: bee forage -> honeybee colonies -> pollinator-dependent crop output. Colonies and forage are INDEX values (start=100) because Pakistani colony counts conflict (PARC ~300,000 vs HBRI 2026 ~1.5 million).
SOURCED: forest loss 0.75-2.1%/yr (World Bank/FAO, Springer) used as proxy for forage loss; tree survival 70-90% (Billion Tree Tsunami, WWF); pesticide residues in 47% of pollen samples (Pervez & Manzoor) - Colony Loss Rate 0.17 = 0.10 assumed base + 0.07 pesticide (0.47 x assumed 0.15).
ASSUMED: colony growth 0.30, regeneration gain 0.005, years to flowering 5, target planting 2 index points/yr, crop sensitivity 0.2 (honeybee share 0.5 x yield dependence 0.4), carrying capacity = 2.32 x forage (calibrated so colonies start at equilibrium).
WHO/HOW: Funding Coverage = share of the planting programme funded (federal/provincial, e.g. Ten Billion Tree programme). Maintenance Coverage = share of plantings looked after by paid village forest watchers with third-party monitoring (IUCN/FAO/WWF). Saplings from community nurseries.
Before: Funding 0. After: Funding 0.8.
bee
6 minutes ago
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Climate Control
10 minutes ago
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Clone of Food_Delivery
22 minutes ago
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Antibiotic Resistance w/ Free Space
39 minutes ago
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The effects or deer & possum on forest carbon 
New Brose rates3
46 minutes ago
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Manuál
57 minutes ago
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See
1 hour ago
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Test
1 hour ago
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interventionA
1 hour ago
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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
1 hour ago
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My Insight-Supply chain
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Clone of Romeo&Juliet
2 hours ago
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Sports on Script
2 hours ago
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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."

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