🚀 Sesión 1 - Introducción a la Vigilancia Tecnológica - Grupo 2 #TerritorioINN2026

Overview of the Course Structure

Methodological Approach

• The course will be approached methodologically, focusing on both present and future scenarios during the exercise.

• Participants are encouraged to engage actively, as this is a live synchronous course rather than a recorded one.

Course Objectives

• The aim is for participants to collaboratively build solutions to real or hypothetical problems using artificial intelligence data.

• No prior programming or data knowledge is required; all participants will receive equal treatment regardless of their background.

Engagement with Community Challenges

Addressing Real Issues

• Participants are expected to tackle optional challenges within their communities, ideally in small groups.

• A certified diploma will be awarded upon completion, along with social service hours and potential economic recognition for top performers.

Proposal Development

• Teams will define their approach individually or collectively while selecting community challenges to address.

• The focus will be on co-creation, where instructors provide knowledge and participants contribute their experiences.

Course Dynamics and Participation

Interactive Learning Environment

• Classes consist of guided activities followed by independent work on selected challenges related to community issues.

• Participants can choose between working on personal community projects or addressing specific class challenges without obligation.

Tools and Resources

• Various free tools such as Teams, Collab, Drive, and Mentimeter will be utilized throughout the course for collaborative work.

Introduction to Technological Vigilance

Conceptual Framework

• The first session focuses on technological vigilance—an organized process for gathering information from the environment.

• It emphasizes transforming collected information into actionable knowledge for informed decision-making.

Phases of Technological Vigilance

• There are three distinct phases: identifying needs and sources, searching/validating information, and converting it into valuable insights.

• Phase 1: Identify what needs investigation (e.g., community issues).

• Phase 2: Search for relevant data while refining search parameters continuously.

• Phase 3: Convert gathered information into actionable proposals that address identified needs.

Introduction to Technological Surveillance

The Role of Detectives in Data Collection

• The speaker compares participants to detectives, emphasizing the importance of gathering evidence (data) rather than making assumptions about problems.

• Collecting data involves verifying sources and validating information, akin to a detective building a case.

• Using specific data points allows for precise discussions about community issues, moving from vague statements to concrete facts.

Importance of Data in Problem Solving

• Accurate data transforms general observations into actionable insights, such as identifying critical waste collection points or educational coverage statistics.

• Proposals based on data are more credible than those based solely on opinions, highlighting the need for evidence-based solutions.

Ethical Considerations in Data Collection

Distinction Between Surveillance and Espionage

• Technological surveillance is not espionage; it relies on publicly available information collected legally and ethically.

• The focus is on various types of information—social, environmental, economic—not just technological aspects.

Continuous Vigilance

• Ongoing monitoring is essential; participants must repeatedly consult their sources for updated information.

• A structured inventory of data sources will be developed to facilitate continuous access to relevant information.

Challenges in Data Collection

Technical Issues During Sessions

• Participants face technical difficulties during live sessions due to bandwidth issues affecting engagement.

Understanding Data Types

• The speaker introduces two fundamental classifications of data: primary and secondary.

Primary vs. Secondary Data

Defining Primary Data

• Primary data is original information collected by the researcher for a specific purpose that has not been previously gathered by others.

Characteristics of Secondary Data

• Secondary data consists of existing information produced by someone else for different objectives but can be reused effectively.

Practical Applications of Data Classification

Efficient Use of Resources

• It’s crucial to identify whether needed data already exists before collecting new primary data, saving time and resources.

Example Scenario: Traffic Accidents

• When researching motorcycle accidents in Medellín, checking existing databases can prevent redundant efforts in gathering already available statistics.

Implications of Using Different Types of Data

Cost Considerations

• Collecting primary data incurs costs related to time and effort compared to utilizing readily available secondary sources which are often cheaper and faster.

Combining Sources for Better Solutions

• Effective proposals typically integrate both primary and secondary data rather than relying solely on one type.

Understanding Perspectives on Data

Contextualizing Primary vs. Secondary

• A single piece of data can be considered primary from one perspective (the collector's view), while being secondary from another (the user's view).

Engaging with Participants

Interactive Learning Exercise

• Participants are prompted with a question regarding whether the number of children in their commune represents primary or secondary data.

Conclusion on Classifying Data

Correct Answer Discussion

• The number of children in a commune is classified as secondary since it has been previously collected by an external source like DANE.

Introduction and Break

Overview of the Session

• The session begins with a reminder to handle equipment carefully to avoid risks, followed by a short break for stretching.

• Participants are encouraged to share their thoughts on the length of the break after resuming at 3:10 PM.

Evaluating Sources

Importance of Source Evaluation

• Discussion focuses on questions that help determine the usefulness of sources for research purposes.

• Introduction of a tool called "mapa de fuentes" (source map), which participants will use throughout the course.

Potential Data Sources

Types of Data Sources

• Mentioned potential sources include open data portals like datos.gov.co, municipal pages, official statistics from DANE, and academic resources such as Google Scholar.

• Emphasis on various types of data sources including geospatial data from Open Street Map and social media platforms.

Building the Source Map

Construction Process

• Participants are instructed to create their own version of the source map using tools like Excel or Google Sheets.

• The source map should include details about each data source such as type, category, origin, and examples.

Exploring datos.gov.co

Government Data Initiative

• Introduction to datos.gov.co as a key resource for accessing public government data in Colombia.

• The platform offers over 8,785 public datasets useful for research and application development.

Understanding DANE Statistics

Role of DANE

• Explanation of DANE's role in collecting and maintaining national statistics in Colombia.

• Participants are encouraged to explore DANE’s extensive database covering various sectors like commerce and health.

Metadata Concepts

Definition and Importance

• Introduction to metadata as "data about data," crucial for understanding dataset origins and context.

• Example provided comparing file properties (metadata), emphasizing its relevance in research contexts.

Utilizing ANDA Resources

Archive National Data Access

• Highlighting ANDA's significance within DANE for researchers needing access to comprehensive datasets.

Searching Techniques

Effective Search Strategies

• Encouragement to utilize keywords when searching through databases; practical search techniques will be explored later in sessions.

Google Scholar as Research Tool

Academic Resource Utilization

• Introduction to Google Scholar as an essential tool for academic research distinct from general search engines.

Open Street Map Overview

Collaborative Mapping Platform

• Description of Open Street Map as a user-contributed mapping service that provides valuable geographic information.

Critical Thinking About Data Quality

Evaluating Information Credibility

• Emphasis on questioning the origin, date, and methodology behind any data before utilizing it in research.

Local Data Portals

Medellín's Open Data Initiatives

• Presentation of Medata.gov.com as Medellín’s dedicated portal offering local government-generated datasets.

Area Metropolitan Data Access

Broader Regional Insights

• Discussion on metropol.gov.co providing open data across multiple municipalities within Valle de Aburrá region.

Conclusion & Next Steps

Preparing for Future Sessions

• Reassurance given regarding session recordings available for review; encouragement not to feel overwhelmed by information presented.

Introduction and Overview of the Session

Technical Skills Development

• The session will focus on developing technical skills necessary for upcoming challenges, with a reminder that breaks will be provided to manage fatigue.

• Tools introduced in this session will be used continuously; participants are encouraged to start populating their source maps with relevant links as they progress.

• Emphasis is placed on maintaining an updated map of sources to streamline future research efforts, avoiding repetitive work.

Understanding Data Sources

Importance of Open Data

• Clarification regarding UPME's use of Open Street Map rather than having its own open database; practical application will occur in future sessions.

Transitioning to Search Techniques

Efficient Searching Strategies

• The session shifts focus towards search equations and techniques aimed at improving search efficiency and reducing frustration during data retrieval.

Search Engine Mechanics

Relevance vs. Need

• Most search engines, including Google, rank results based on popularity rather than user-specific needs, which can lead to irrelevant results.

Understanding Search Results

Classification Mechanisms

• Search engines utilize classification agents and spiders that rank content according to criteria that may not align with user intentions.

Practical Example: Searching for Information

Common Searches

• Demonstration of searching "Basuras Medellín" reveals numerous results from various sources, highlighting the challenge of sifting through popular but potentially irrelevant information.

Personalization in Search Results

Individual Variability

• Each user's search experience can differ due to personalized settings within search engines, affecting the relevance of displayed results.

Boolean Logic in Searching

Introduction to Boolean Operators

• Explanation of Boolean logic as a method for refining searches using operators like AND, OR, NOT (or "no") to filter results effectively.

Historical Context

Origins of Boolean Logic

• Reference made to George Boole's development of logical operations in the 1800’s that laid groundwork for modern search techniques.

Application in Everyday Language

Real-Life Examples

• Everyday scenarios illustrate how conditional expressions can limit options—similar principles apply when conducting online searches.

Mathematical Significance

Logical Operations

• Emphasizing the mathematical importance behind Boolean operations and their relevance for effective data searching strategies.

Google’s Adaptation

Evolution Over Time

• Google's adaptation over time has simplified user interactions by translating basic Boolean operations into more accessible formats without losing functionality.

Using Quotation Marks

Exact Phrase Searches

• Utilizing quotation marks forces the search engine to return exact phrases in specified order, enhancing result accuracy significantly.

Impact on Result Quality

Restricting Results

• By enclosing terms within quotes, users ensure all returned pages contain those words together rather than separately.

Handling Special Characters

Tilde Usage

• Discussion about handling special characters like accents or tildes when performing searches; understanding limitations helps improve accuracy.

Exclusion Operator (-)

Filtering Out Unwanted Terms

• The minus sign serves as an exclusion operator; it must be directly attached without spaces for proper function during searches.

Practical Application Example

Refining Searches

• Demonstration shows how excluding terms like “primary” or “secondary” refines educational searches related specifically to Medellín.

Encouragement for Practice

Hands-On Learning

• Participants are prompted to practice newly learned techniques immediately by applying them in real-time exercises during the session.

Addressing Participant Questions

Engagement Check

• Instructor checks participant engagement through chat messages while sharing screen content; encourages rejoining if issues arise.

Clarifying Attendance Procedures

Administrative Notes

• Clarification provided regarding attendance procedures versus evaluative activities; ensuring participants understand expectations moving forward.

Reinforcement on Operator Use

Key Reminders

• Important reminders reiterated about spacing around operators such as minus signs—emphasizing correct usage is crucial for effective searching outcomes.

(Timestamps & Character Limits)

Character Limit Awareness

• (Timestamps & Character Limits)

Discussed character limits within search queries emphasizing efficient use while maximizing output potential from queries made online.

(Timestamps & Character Limits)

Conclusion drawn about maintaining awareness around character limits while utilizing boolean operators effectively throughout research processes.

Overview of Solid Waste Characterization in Medellín

Introduction to the Report

• The report on solid waste characterization for residential areas in Medellín includes data from both urban and rural sectors, detailing waste generation across five corregimientos.

Importance of Key Documents

• A crucial master document from a 2018 contract is highlighted as extremely useful for understanding solid waste management methodologies and data extraction processes.

Legal Framework

• Page 20 of the report outlines how information is classified and the associated legal regulations that govern solid waste management, emphasizing the extensive normative framework involved.

Data Sources and Tools

• The discussion emphasizes the necessity of primary and secondary sources for constructing comprehensive reports, indicating that significant effort is required to gather relevant legal frameworks.

Administrative Division Insights

• The political-administrative division of Medellín is presented, showing how zones are categorized into corregimientos rather than communes, providing structured data for analysis.

Population Growth Trends

Historical Data Analysis

• Population growth trends from 2005 to 2017 are illustrated using census data from DANE, highlighting demographic changes over time.

Methodological Rigor

• The report defines methodologies used in statistical modeling, including sample size determination and statistical analysis techniques relevant to solid waste studies.

Searching for Public Data

File Type Specifications

• Emphasis on searching specifically for PDF files related to public entities ensures access to reliable information regarding solid waste management practices.

Search Techniques

• Various search strategies are discussed, including refining searches by file type (e.g., XLS or PDF), which enhances the precision of results obtained from public databases.

Challenges in Data Retrieval

Complex Search Queries

• Attempting complex queries can lead to challenges; specifying exact phrases may limit results significantly when searching through Excel documents compared to PDFs.

Importance of PDF Formats

Preference for PDFs

• Public entities prefer presenting results in PDF format due to security features inherent in this file type, making it essential for researchers seeking official reports.

Learning Effective Search Skills

Developing Search Competence

• Effective searching is framed as a learned skill rather than luck; utilizing specific operators enhances search accuracy and relevance based on user needs.

Interactive Learning Activities

Engaging Participants

• An interactive activity involving word association encourages participants to think critically about their community challenges while fostering engagement through collective input.

Analyzing Word Clouds

Visualization Techniques

• A word cloud generated from participant responses reveals central themes such as "education," indicating common concerns among diverse individuals despite geographical differences.

Preparing for Future Challenges

Setting Research Goals

• Participants are encouraged to define research topics related to their communities as they prepare for upcoming activities focused on building effective search equations.

Understanding Population Characterization and Search Equations

Key Concepts in Search Techniques

• The discussion begins with the importance of characterizing a population, including aspects like normality, sex distribution, age range, and breastfeeding practices.

• Emphasis is placed on structuring search equations effectively; participants are encouraged to practice finding relevant information using basic operators.

• Five key operators are highlighted for effective searching: quotes (" "), minus (-), site:, filetype:, and OR. The use of OR is noted as less common.

• Participants are invited to share their results during the session, fostering collaborative learning and practical application of search techniques.

Practical Application of Search Operators

• As participants begin sharing their findings, there’s an encouragement for everyone to contribute their search equations either through text or screenshots.

• The facilitator reviews shared results to assess how well participants applied the discussed techniques in real-time searches.

• A focus on visual clarity is mentioned; images from searches will be displayed larger for better visibility across different devices.

Analyzing Search Results

Evaluating Specific Searches

• One participant's search result involving file types reveals insights into waste management documents found in PDF format.

• It’s noted that while some modifiers may not have been considered by the participant, the overall effectiveness of their search was commendable.

Refining Search Strategies

• Another example focuses on emotional well-being searches where specific phrases were used to yield targeted results within commercial sites.

• The distinction between searching for "emotional well-being" versus "self-care" highlights how phrasing impacts search efficiency.

Exploring Domain-Specific Searches

Importance of Domain Knowledge

• Discussion shifts towards understanding domain types (e.g., .gov.co vs .org.co), emphasizing how they affect search outcomes based on content type.

• Examples illustrate how specific domains can lead to more relevant results depending on the nature of the inquiry being conducted.

Challenges in Online Research

• A brief technical issue occurs during a demonstration but is quickly resolved as participants remain engaged with ongoing discussions about domain significance.

Utilizing Google Domains Effectively

Understanding Domain Extensions

• Different domain extensions (like .com or .org.) carry implications for credibility and relevance in research contexts.

• Participants learn that restricting searches by domain can significantly refine results based on desired content type.

Engaging with Real-Time Data Searches

Collaborative Learning Experience

• Participants engage actively by sharing various formulas used in their searches, showcasing diverse topics ranging from tourism to environmental issues.

Critical Evaluation of Sources

• Questions arise regarding source reliability; discussions emphasize evaluating sources based on context rather than dismissing them outright due to format (e.g., news articles).

Assessing Confidence in Using Operators

Feedback Mechanism

• A survey is introduced asking participants about their confidence levels when using search operators, promoting self-assessment and reflection on learning progress.

Introduction to Escape Room Challenge

Interactive Learning Activity

• An escape room challenge is presented where participants must solve data-related puzzles using learned skills from previous discussions.

Survey Initiation and Data Collection

Overview of Responses

• The survey has received 37 responses, with a majority (97%) favoring option B and only 3% for option D. More participants are needed to finalize results.

• The discussion shifts to the fourth question regarding data on education in the community, indicating a need for localized information.

Search Functionality Issues

• Results from the search engine predominantly show data about Bogotá, which is not useful for their needs in Medellín.

• A significant trend emerges with 90% support for option B, which effectively excludes Bogotá-related results from searches.

Final Question and Code Unlocking

Combining Search Parameters

• Participants are reminded that finding the definitive report requires combining all elements: exact phrases, PDF formats, and government sites.

• An overwhelming 88% of participants select option B as the correct combination of search parameters.

Successful Code Entry

• The final code is successfully entered after unlocking various fragments (D, A, T, O, S), leading to access to the final vault.

Conclusion of Escape Room Challenge

Session Wrap-Up

• The challenge is deemed successful; participants are encouraged to reflect on their learning experience.

Review of Session Objectives

Learning Outcomes Assessment

• The facilitator reviews session objectives: understanding technological surveillance, distinguishing between primary and secondary data sources, mapping sources like Dane and Dian, and constructing search equations.

Next Steps and Evaluative Activity

Future Sessions Planning

• Upcoming sessions will delve deeper into data exploration techniques related to surveillance technology.

Attendance Tracking

• Participants are instructed on how to fill out attendance forms accurately for verification purposes before concluding the session.

Closing Remarks

Gratitude and Encouragement

• The facilitator expresses appreciation for participant engagement and reminds them about filling out attendance forms before leaving.