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First Data and 

Gender Camp

INDEX 

Exercise 1 

Exercise 2 

Exercise 3 

Exercise 4 

Exercise 5 

Exercise 6 

Exercise 7 

Exercise 8 

Exercise 9 

Records 

P 1 

P 2 

P 3 

P 4-5 

P 6 

P 7-8 

P 9 

P 10 

P 11-13 

P 14 

A

Exercise 1 

Mark with an X the correct answer 

The gender data only represents women. 

YES 

NO 

The percentage of women who defect from STEM careers is 

higher than that of men. 

YES 

NO 

Women leave IT careers because they want to have babies 

and family. 

YES 

NO 

The same responsibilities are being given to men and women 

in the IT industry. 

YES 

NO 

In Costa Rica, women use the Internet more than men do. 

YES 

NO 

To analyze: 

A. Is there anything loose in the designed questions? 

B. Who is represented by the results? Who is not represented by the results? 

C. Are there any features about the chosen app to capture the data? 

D. Was consent requested? 

E. Shall we explain what are we going to do with the data? 

F. If other techniques (focus groups, interviews, etc.) had been used to 

collect the data, would the results have been different? 

1

Exercise 2 

Color All Territories 

A. Indigenous territories 

B. Border territories 

C. Coastal territories 

D. Urban territories 

E. Marginal urban territories 

F. Afro territories 

G. Other territories: 

2

Exercise 3 

Purchasing power VS Access to... 

+ 

Purchasing power 

- 

Access to 

3

Exercise 4 

I put myself in the place of those who are going to give me the data 

A. 

Disability 

B. 

C. 

A. 

Cultures 

B. 

C. 

A. 

Gender 

B. 

C. 

A. 

Geographical 

Origin 

B. 

C. 

A. 

Migration 

Situation 

B. 

C. 

4

Exercise 4 

I put myself in the place of those who are going to give me the data 

Socioeconomic 

Status 

A. 

B. 

C. 

A. 

Age 

B. 

C. 

A. 

B. 

C. 

A. 

B. 

C. 

A. 

B. 

C. 

5

Exercise 5 

Prepare profiles about people with an inclusion approach 

Example: 

A person with a motor disability, woman, elderly, Afro-Caribbean, 

who lives in a rural area using a mobile phone. 

Describe or draw 4 people with an inclusion approach 

to data collection.. 

What challenges does an inclusive approach of all people in all 

territories represent for technology development? 

Elaborate about it, working in four people groups. 

6

Exercise 6 

Gender-focused data: One day in college. 

Regarding classmates: Women face 

more obstacles. Male peers limit their 

potential. Male peers underestimate 

their skills. 

Regarding myself: Feeling 

inferior. My time and theirs 

is different. 

Regarding families: 

Ignorance and lack 

of support. 

Regarding male 

and female teachers: 

Sexist environment. 

Difference in the relationships. 

Undervaluation of women's contribution. 

Regarding female classmates: 

Survival strategies. Competition 

to demonstrate their value. 

Lack of opportunities 

for sorority building. 

Regarding universities: 

Lack of support and company. 

A single vision that may not be 

interesting to women. 

Equal processes 

for different people. 

Regarding the learning 

process: Devaluation 

of women's contribution. 

Success stories are only 

about men. Discriminatory 

and competitive 

learning processes. 

A. There is a difference in the academic life of people who study 

technology careers according to their condition. 

B. Examples of data we should have in order to include everyone. 

C. Take one of the identified aspects and imagine which data 

would allow to include the gender perspective. 

Build 4 examples in group with other classmates. 

7

Exercise 6 

Each group chooses a representative to submit the proposal stating: 

What aspect did the group choose? 

What data did the group produce? 

Why did the group choose this data? 

How is this data understood according to gender status? 

We put all the proposals together. 

Gender: identity chosen by people (male, female, trans, 

non-binary, etc.) 

8

Exercise 7 

Analysis of the cases to be worked. 

Read the case. 

Based on your own experience, add other elements to analyze 

the situation that is presented in the case 

Rotate among the cases. Word Café. 

Split into different subgroups to work in inclusive data 

construction (6 per group) 

9

Exercise 8 

Gender, Science and Technology Data - State of the art. 

We share the tables we have analyzed about of existing data: 

1. About access and use of technology 

2. About science and technology education 

3. About employment in technological fields. 

Analysis in subgroups, by topic. 

What do these data tell us? What do not these data tell us? 

Who is represented in that data? Who is not represented in that data? 

What would be the consequences of being represented or not? 

10

Exercise 9 

Ketso 

First level: What are the most relevant questions you want 

to answer about this issue? 

Second level: What elements can we break down these 

questions with? 

Third level: What data already exists to better understand t 

he elements we previously identified? What other data do 

we need to better understand these elements? 

(see resulting table) 

11

Exercise 9 

Characteristics of the population that gives me the data 

12

Exercise 9 

Characteristics of the population that gives me the data 

13

Records 

Permanent consultation record 

Who is represented? 

Who is not represented? 

What are the implications of not being represented? 

Permanent reflection sheet 

What we are learning: 

How am I understanding what data is? 

Why is it important to have a gender and social justice 

approach to the data-building methodology? 

Why is it important to have a social justice and inclusion a 

pproach in the design of technology that captures data? 

How does the way data is designed affect inclusion? 

Other things we are learning. 

14

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