**Eating Space at IAAC 🍝**
====================

Measuring the world / A world in data activity report.
****

:::info
A report by Andrea, Dídac, Kai, Rei and Ruben
:::


**Journal Index**

[TOC]

## From objectives to the hypothesis

### Brainstorming
Multiple images about the brainstorming process:



### Project Goals
**Objective:**
I want to have a place to eat lunch inside IAAC.

**Question:**
Are all spaces in IAAC in use at lunch time?

**Hypothesis:**
- Lunch&Afternoon Data
"Is there a space for a (covid-safe) lunch?"
- Morning Data
"Are there people in Iaac interested in having a space to have lunch?"

### Tips

We think we needed more time to think about the question we were going to use, so our strategy of how we recollected the data and defining which tool could work so that the results were more efficient.
We had two topics, so we generated many different ideas to work with each one, so maybe choosing a general one that could have those two ideas covered, was more convenient.

## From hypothesis to data

### Tools selection


We decided to choose the PiCamera as a tool for the experiment. We thought it would be quite a practical way of checking the availability of IAAC spaces and counting people. However, a physical intervention would have been also an appropriate means to collect data for our case.

### Tool 🔧 usage documentation:

We used the PiCamera to create timelapses in two different ways:
- POV timelapse: the camera was taking pictures while we moved around the different spaces of IAAC.
- Static timelapse: the camera was static in a specific place and captured everything that happened there.

For the camera settings, we decided to use a low resolution (320x240px) in order not to have heavy files. We also set the photo frequency to 1 picture per second to have enough information from people's movements.


#### Data capturing strategy:

Our strategy consisted of two main points: The first one was based on checking the different spaces of IAAC with the camera during lunchtime and seeing if there was people eating inside. Thanks to this, we could get information for both of our hypothesis.
The second one focused on testing the interest of people around a poster in the entrance communicating a supposed "Lunch Room" at IAAC's main hall. This would let us know about support for this idea.

Also, we had to change the strategy in the middle of the data collection since the PiCamera stopped working. Our intention there was to count the amount of people going to eat outside during lunchtime compared to the total of people at IAAC. However, we believe this wasn't a major problem for our research.

#### Materials needed:

Picamera, "LunchRoom" poster, Iaac map and personal interviews to people that were heating their food in the microwave or eating in the classrooms.

#### Detail setup instructions:






#### Data collected

Describe the raw data you collected by posting a sample i.e. a picture, a screen capture, etc.

For privacy reasons we are not able to show the images captured by the Raspberry Pi. Two impressions of the data generated shown below.

"Where people are eating lunch inside IAAC building ":


"People that was interested in the Lunch room poster":

Video recorded with the PiCamera


#### Tips

It was hard to analyze what is happening in the captured timelapse data because the camera took pictures every 3 seconds only, so there were things that the camera was not able to capture. Also, we chosed to make the resolution of the data low and it gave us a hard time to analyze things in the timelapse especially for the static one. We would change how the data is captured and output rather than changing how we collect the data.

## Data capture

### Data summary

| Data Summary | |
|--------------------------|--------------------|
| Project Title |Where people are eating lunch inside IaaC building
| Capture Start | 11-11-2021 |
| Capture End | 11-11-2021 |
| Original Data Format | Timelapse mp4 |
| Submitted format | CSV file |
| Total Data Points | 28 |
| Number of datasets | 1 |
| Data Repository | https://github.com/fablabbcn/mdef-a-world-in-data/blob/main/eating-space-at-iaac/LunchTime.csv|

| Data Summary | |
|--------------------------|--------------------|
| Project Title |People that was interested in the Lunch room poster |
| Capture Start | 12-11-2021 |
| Capture End | 12-11-2021 |
| Original Data Format | Timelapse mp4 |
| Submitted format | CSV file |
| Total Data Points | 6
| Number of datasets | 1 |
| Data Repository | https://github.com/fablabbcn/mdef-a-world-in-data/blob/main/eating-space-at-iaac/peopleinterestedinposter.csv |

### Data insights

:::warning
A hypothesis may be testable, but even that isn’t enough for it to be a scientific hypothesis. In addition, it must be possible to show that the hypothesis is false if it really is false. Proving it's true it will require testing all possible combinations, that's hard, maybe impossible.
:::

Post at least two images of a chart, a screen-shoot of your data, that you used to prove if your hypothesis is false.

### Tips
We think that in order to recollect more data, we have to do it for more days at the same hour (lunch time) because is not precise just knowing how much people had lunch inside Iaac when we know that the quantity may vary depending on the days. And if we want to know the amount of people that enters Iaac and compared it to the people that eats inside for whatever reason, we need to do it for more days.

**I want to have a place to eat lunch inside IAAC**

Are all spaces in IAAC in use?
Yes, but it depends on the day time.

By the data we collected at lunch time we saw that at that time, most spaces were empty and some occupied by the master’s students but regarding to each students master’s classrooms with a camera stick to Ruben's body.
As for example, MDEF classroom was occupied by MDEF students, some ate there or in the main hall tables around the kitchen.

After lunch, we recollected some more data by going around with the camera and saw that all the spaces were occupied by master classes or office things.
We too, put the camera on the entrance to recollect data of how many people entered Iaac after lunch, but the video stopped unexpectedly and we lost that data.

So with some help of how to recover the data, the today day morning, we made a "LunchRoom" fake poster of using the main hall as a lunch space and put it on the entrance to see people’s reactions and if they were interested on joining.

During the process of collecting this data, watching people through the camera, we collected that 49 of people in average didn’t looked at all, 15.5 in average looked, and 15.5 in average stopped to read.
We reflect that maybe the spot were we put the poster, wasn’t the best spot to it because there is more quantity of people that didn’t looked compared to the ones that did. Maybe if we had more time, we could change the spot to another one like in the bathroom or in another space that people is obligated to look; such as the gender expression group that selected the bathroom and at a simple view, they had a lot of reactions. So, instead of using a camera because of privacy if we choose the bathroom, we could make a more interactive intervention of people expressing how they feel about not having a lunch space, or were do they eat or if they like to occupy a space to have lunch, or maybe if they want to join to make the rooftop a more capable space to have lunch.

This take us to other questions regarding to the exercise of choosing a hypothesis such as: could we change the rooftop for this purpose?, where do people eat during lunch time?, how many people don't eat at iaac because there is no common space?