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Development of Conscious Enterprises

About the Group

This research group provides evidence of the economic, social, and environmental impact of conducting company practices that elevate their purpose, seeking to positively impact their communities and transform society above their own interests.


Research lines

• Stakeholder Relations Management
• Circular Economy
• Corporate Social Responsibility
• Sustainability
• Green consumption
• Responsible and healthy consumption
• Conscious marketing
• Responsible and sustainable production

Leader

Bryan William Husted Corregan - bhusted@tec.mx
 

Members of the Social Innovation and Sustainability thematic area

Christiane Andrea Molina Brockmann (Leader)
Adriana Morales Rodríguez
Alexandra del Carmen Borbolla Loaiza
Bryan William Husted Corregan
Carlos Scheel Mayenberger
David Pérez Castillo
Eduardo Enrique Aguiñaga Maldonado
Eva María Guerra Leal
Gabriela Monforte García
Jason Good
Laura Olivo Ayala
Lilia Artemisa Cortez Angulo
Mildred Daniela Berrelleza Rendón
Rajiv Maher

Members of the Production, Marketing and Responsible Consumption thematic area

María de la Paz Toldos Romero (Leader)
Alberto López Hernández
Alejandro Alvarado Herrera
Anna Elena Francke Hubbard
Beatriz Adriana González Cavazos
Carlos Agredano González
Citlali del Carmen Calderón Frese
Claudia María Quintanilla Domínguez
Daniela Rachel Rodríguez Delgado
Diana Kolbe
Edgar Antonio Centeno Velázquez
Ericka Uribe Bravo
Humberto Fuentes G.
Jorge Luis Graciano Vera Martínez
Lorena de la Paz Carrete Lucero
María de la Paz Toldos Romero
Nancy Elizabeth González Castillo
Rajagopal
Raquel Minerva Castaño González
Sidney Abril Ornelas Sánchez

 

Desarrollo de empresas conscientes

Sobre el Grupo

Dar evidencia del impacto económico, social y medioambiental de que en las empresas se lleven a cabo prácticas que eleven su propósito, anteponiendo a sus propios intereses la búsqueda del impacto positivo en las comunidades y la transformación de la sociedad.


Líneas de investigación

• Administración de relaciones con grupos de interés
• Economía Circular
• Responsabilidad Social Empresarial
• Sostenibilidad
• Consumo verde
• Consumo responsable y saludable
• Mercadotecnia consciente
• Producción responsable y sostenible

Líder

Bryan William Husted Corregan - bhusted@tec.mx

Miembros del área temática de Innovación Social y Sostenibilidad

Christiane Andrea Molina Brockmann (Líder)
Adriana Morales Rodríguez
Alexandra del Carmen Borbolla Loaiza
Bryan William Husted Corregan
Carlos Scheel Mayenberger
David Pérez Castillo
Eduardo Enrique Aguiñaga Maldonado
Eva María Guerra Leal
Gabriela Monforte García
Jason Good
Laura Olivo Ayala
Lilia Artemisa Cortez Angulo
Mildred Daniela Berrelleza Rendón
Rajiv Maher

Miembros del área temática de Producción, comercialización y consumo responsable

María de la Paz Toldos Romero (Líder)
Alberto López Hernández
Alejandro Alvarado Herrera
Anna Elena Francke Hubbard
Beatriz Adriana González Cavazos
Carlos Agredano González
Citlali del Carmen Calderón Frese
Claudia María Quintanilla Domínguez
Daniela Rachel Rodríguez Delgado
Diana Kolbe
Edgar Antonio Centeno Velázquez
Ericka Uribe Bravo
Humberto Fuentes G.
Jorge Luis Graciano Vera Martínez
Lorena de la Paz Carrete Lucero
María de la Paz Toldos Romero
Nancy Elizabeth González Castillo
Rajagopal
Raquel Minerva Castaño González
Sidney Abril Ornelas Sánchez

Government and Public Entrepreneurship

About the Group

This group works on the most pressing challenges of our society, including healthcare, climate change, economic development, security, and artificial intelligence. The group members develop applied research to support debate and discussion on policies, public decisions, and new research methods to address these problems.

The work of our group in these areas seeks to answer the following lines of research questions:

• What kinds of subsystems comprise a city? How do they interact, and how can they be monitored? How can we use that knowledge to develop more inclusive and sustainable cities?
• What kind of network structure exists in the economy, and how does it change over time? What information and models can we use to explore their behavior quantitatively? Is it possible to develop technology policies that leverage this knowledge to meet specific development objectives?
• How can we employ modern computational methods to study social systems? What patterns emerge when we analyze the behavior of social systems under millions of different assumptions about their structure? How can we employ these methods to distribute the resources of society and nature more efficiently? How can we use these methods to address the causes of inequality and poverty?
• What are the neural and cognitive processes of public decision-makers? Is it possible to employ computational methods to support decision processes effectively? What are the primary dilemmas in our major national debates?

 

Research lines

• Science of Cities
• Science of Networks and Complexity
• Computational Social Sciences
• Science of Decisions
• Public Entrepreneurship
• Public Policy and Government

Leader

Edmundo Molina Pérez - edmundo.molina@tec.mx
 

Members

Adolfo Javier De Unanue Tiscareño
Alejandra Macias
Alejandro Alfonso Poiré Romero
Carlos Elizondo Mayer Serra
Edgar Arturo Barroso Merino
Fabián Lozano García
Fernando Gómez
Grisel Ayllon
Isaac Molina
Hilda Zamora
Grisel Olivera
Gustavo Merino  
Luis Alberto Serra Barragán
Roberto Durán Fernández
Roberto Ponce López
Zeus Hiram Zamora Guevara

Most relevant publications

• Ponce-Lopez, Roberto, and Joseph Ferreira Jr. Identifying and characterizing popular non-work destinations by clustering cellphone and point-of-interest data. Cities 113 (2021): 103158.

• He, He, Roberto Ponce-Lopez, Jingsi Shaw, Diem-Trinh Le, Joseph Ferreira, and P. Christopher Zegras. Representing accessibility: Evidence from vehicle ownership choices and property valuations in Singapore. Transportation Research Record 2673, no. 2 (2019): 724-733.

• Basu, Rounaq, Joseph Ferreira, and Roberto Ponce-Lopez. A framework to generate virtual cities as sandboxes for land use-transport interaction models. Journal of Transport and Land Use 14, no. 1 (2021): 303-323.

• Olivera-Martínez, Grissel, and Adelaido García-Andrés. Infraestructura hospitalaria y personal médico del Sistema Público de Salud en México ante la pandemia por COVID-19. Ciencias Administrativas. Teoría y Praxis 17, no. 2 (2021): 85-105.

• Gómez-Zaldívar, Fernando, and Edmundo Molina-Perez. Evolution of the Productive Capabilities of Mexico: Economic Complexity Analysis for the Development of Special Economic Zones (SEZ). The International Trade Journal 35, no. 1 (2021): 4-18.

• Estrada, Luis, and Alejandro Poiré. The Mexican standoff: taught to protest, learning to lose. Journal of Democracy 18, no. 1 (2007): 73-87.

• Groves, David G., Edmundo Molina-Perez, Evan Bloom, and Jordan R. Fischbach. Robust Decision Making (RDM): Application to Water Planning and Climate Policy. In Decision Making under Deep Uncertainty, pp. 135-163. Springer, Cham, 2019.

• Serra-Barragán, Luis, Edmundo Molina-Perez, and Zeus Guevara. Energy and Environmental Policy and Economic Development. In Energy Issues and Transition to a Low Carbon Economy, pp. 31-57. Springer, Cham, 2022.

• Molina-Perez, E., Esquivel-Flores, O. A., & Zamora-Maldonado, H. (2020). Computational Intelligence for Studying Sustainability Challenges: Tools and Methods for Dealing With Deep Uncertainty and Complexity. Frontiers in Robotics and AI, 7, 111.

• Zamora-Maldonado, Hilda Consuelo, Véronique Sophie Avila-Foucat, Víctor Gelasio Sánchez-Sotomayor, and Raymond Lee. Social-ecological Resilience Modeling: Water Stress Effects in the Bighorn Sheep Management System in Baja California Sur, Mexico. Ecological Complexity 45 (2021): 100884.

Most relevant projects

• URBAN SPRAWL IN MONTERREY
Founder: Fundación FEMSA
Leader: Dr. Roberto Ponce
This project investigates the process of urban sprawl in Monterrey, quantifying the amount of land consumed and delving into the cost estimation of this pattern of urbanization for the public finances of the city. The project oversees the causes and consequences of urban sprawl in Mexico. Learn more here: https://www.expansionurbanamty.mx/

• An Implementation of SLEUTH as an Open Platform for Doing Scenario Planning to Predict Urban Growth
Founder: Fundación FEMSA
Leader: Dr. Roberto Ponce
This project proposes a ready to use implementation of a cellular automata for scenario planning applied to urban growth. The most observed geographical pattern of growth characterizing fast growing cities is sprawling. The urban land consumption per capita significantly increased, on average, in cities over the 1990-2000 and 2000 and 2014 periods, according to the Atlas of Urban Expansion. Urban sprawl has dire consequences on miles per vehicle traveled, CO2 and the provision of public services. The evidence has shown that reversing this trend requires decisive policy actions from local governments. The problem is that local governments, especially in developing countries, do not possess the human capital, technical proficiency and financial resources to develop a sophisticated and easy to test policy interventions under a framework of scenario planning. Our project addresses such limitations by reimplementing the SLEUTH model/ simulator developed by Keith C. Clarke, a tool for predicting urban growth that is well established in the literature.   

We have reimplemented the SLEUTH model/simulator to increase the access of local governments to scenario planning for urban growth through an easy and ready to use digital tool that works with open access data. SLEUTH is a cellular automaton that simulates 3 growth processes: spontaneous growth, edge growth, and road influence growth. Each growth phase is controlled by a set of parameters calibrated using past growth data. Three are the main limitations of current implementations of SLEUTH to be widely used by local governments and regions. First, the code of most implementations is written in C++, and does not follow modern and best practices for coding. Second, the model needs to be fed with satellite imagery and raster files on historic urbanized land, elevations, and roads access. Third, the process of calibrating the parameters to historical data is long, tedious, and not automated. These three elements are a barrier of entry for local governments without a developed technical capacity to do scenario planning for urban growth.

To address these limitations in SLEUTH, we built an interactive digital platform that performs remote data integration from Google Earth Engine to feed the satellite imagery and rasters into the SLEUTH model in an automated way, allowing a real time exploration of SLEUTH generated scenarios. We reimplemented SLEUTH program in Python to better integration with modern data formats and frameworks and facilitate experimenting and new feature development for SLEUTH based growth models.  We tested new calibration methods based on machine learning to improve SLEUTH's calibration speed. The platform simulates growth for all major cities in Latin America in an automated way, relying on open access platforms and data.

• Latin American Pathways to Net-Zero Greenhouse Gas Emissions
Leader: Dr. Edmundo Molina
Founder: Banco Interamericano de Desarrollo
RAND and Tecnológico de Monterrey have partnered to evaluate decarbonization plans in Costa Rica and Chile in recent years . In these studies, the research team applied Robust Decision Making (RDM) to develop and evaluate different scenarios of emissions with and without the implementation of the decarbonization actions roughly consistent with the countries’ Nationally Determined Contributions (NDCs). These studies then identified the key conditions that would lead the decarbonization strategies to hit or miss their emissions objectives.

This proposed study builds upon these two successful studies by (a) leveraging the tools already developed and (b) advancing our approach based on the many lessons learned. The study proposes to develop a novel integrated Latin America decarbonization model that estimates emissions and decarbonization net benefits by sector and country under a wide range of regional and country-specific futures. For example, our integrated model would ensure that consistent assumptions are made for factors that affect Latin American countries similarly, such as similar costs of imported technology. Then, RDM and this model will be used to develop plausible decarbonization pathways for each Latin American country, and the region as a whole, and identify the key uncertain trends that must be monitored and managed in order for the region to meet net zero emissions by 2050.

The research team of Tecnológico de Monterrey will assist the RAND team on carrying out stakeholder engagements, implementing the RDM framework and on gathering the needed information for estimating emissions and decarbonization net benefits, or to develop proxy approaches in the absence of data. This information will be integrated into the RDM-informed modeling and analysis. The final product will be based on an integrated analysis; in addition, the individual country modeling components will be shared with each country for their continued development and use.

• Advise and Support in LTS Exploratory Modeling to Support Countries in LTO Exploration and LTS Modeling
Leader: Dr. Edmundo Molina
Founder: Banco Mundial
Tecnologico de Monterrey will support the World Bank’s programmatic ASA, Long-term Low-Carbon Planning in Pilot Countries providing an exploratory decarbonization platform that can be used to estimate greenhouse gas emissions pathways for specific countries, based on the multi-sectorial specification of decarbonization strategies, and the estimation of the associated implementation costs and resulting broader societal benefits. Additionally, this platform will help the World Bank team explore how these pathways, costs and benefits vary with respect to different assumptions about long-term socio-economic, technological, and environmental conditions, as well as with respect to implementation progress of decarbonization strategies.

This effort will focus on five countries,  including Egypt, Turkey, Jordan, Uzbekistan and Dominican Republic. The TdM team will assembly the datasets required for carrying out the analyses and assist the World Bank team in configuring the modeling platform to the needs of each nation case study. The TdM team will also support the adoption of this platform by the World Bank team so they can use it more flexibly and update the analysis as needed.

• A cognitive modeling approach for understanding computational intelligence-human interactions in uncertain and complex decision-making environments
Leader: Dr. Edmundo Molina
Founder: US Air Force
Decision-making in complex and uncertain environments is a high-level individual or group process that depends on various cognitive, psychological, and social mechanisms, such as perception, attention, memory, abstract thinking, and debate. In particular, uncertain and complex environment require series of decisions to be made, with each decision depending on rapidly changing information, complex computational intelligence tools (CITs), detailed data analysis tasks and multiple agents’ perspectives.

There is limited empirical evidence that analyzes how CITs interact with decision makers in critical decision-making situations or that describes the cognitive and neurological mechanisms through which CITs influence individuals’ integrative complexity traits. We also do not have sufficient information that describes how is that CITs’ characteristics interact with decision makers’ own characteristics (e.g., group size, age, field of expertise). Finally, little is known about the potential externalities that CITs may have on decision-making in these types of environments, such as overreliance, mistrust, or model rejection.

To address these knowledge gaps, this study proposes to combine behavioral experimentation and neuroscientific methods to develop a cognitive model that describes the impact that CITs have on decisions being made in complex and uncertain environments. In particular, this study seeks to address the following research questions:

What is the marginal impact of CITs’ components on individuals’ cognitive bandwidth in complex and uncertain decision-making environments?
What is the marginal impact of CITs’ components on individuals’ level of integrative complexity in complex and uncertain decision-making environments?  
Under which combination of experimental parameters CITs have a positive impact on decision makers’ ability to deal with complex and uncertain environments?  
Under which combination of experimental parameters CITs impact positively individuals’ level of integrative complexity when dealing with a ambiguous or deeply uncertain problem?
Under which combination of experimental parameters CITs lead to mistrust, technological overreliance, model rejection or gridlock in complex and uncertain environments?  
Can the lessons learned in these experiments be generalized across different decision context?
This interdisciplinary approach can contribute to: i) objectively illustrate decision makers’ models of beliefs and values,, ii) identify the impact and mechanisms through which CITs influence individuals’ integrative complexity traits, iii) support CITs interventions in crisis situations, and iv) contribute to the development of modern decision sciences. Ultimately, this integrative approach can result in formal cognitive models of decision making under uncertainty and complexity that will grant the scientific community a deeper understanding of the mechanisms by which CITs and decision makers interact under rapidly evolving environments.

Gobierno y Emprendimiento Público

Sobre el Grupo

El grupo trabaja en los retos más apremiantes para nuestra sociedad, incluidos salud, cambio climático, desarrollo económico, seguridad e inteligencia artificial. Los integrantes del grupo desarrollan investigación aplicada para soportar procesos de debate y discusión sobre políticas y decisiones públicas, así como nuevos métodos de investigación para abordar estos problemas.

El trabajo de nuestro grupo en estas áreas busca responder las siguientes preguntas de investigación en cada una de estas líneas:

• ¿Qué tipo subsistemas constituyen a una ciudad? ¿Cómo interactúan y cómo pueden ser monitoreados? ¿Cómo podemos emplear ese conocimiento para desarrollar ciudades más inclusivas y sostenibles?
• ¿Qué tipo de estructura de red existe en la economía y cómo cambia en el tiempo? ¿Qué tipo de información y modelos podemos emplear para explorar de manera cuantitativa su comportamiento? ¿Es posible desarrollar políticas tecnológicas que aprovechen este conocimiento para cumplir objetivos de desarrollo específico?
• ¿Cómo podemos emplear los métodos computacionales modernos para estudiar sistemas sociales? ¿Qué tipo de patrones emergen cuando analizamos el comportamiento de sistemas sociales bajo millones de distintas suposiciones acerca de su estructura? ¿Cómo podemos emplear estos métodos para distribuir de manera más eficiente los recursos de la sociedad y la naturaleza? ¿Cómo podemos emplear estos métodos para atender las causas de la desigualdad y la pobreza?
• ¿Qué procesos neuronales y cognitivos describen la toma de decisiones agentes públicos? ¿Es posible emplear métodos computacionales para soportar procesos de decisión de manera efectiva? ¿Cuáles son las disyuntivas clave en nuestros grandes debates nacionales?

 

Líneas de investigación

• Ciencia de Ciudades
• Ciencia de Redes y Complejidad
• Ciencias Sociales Computacionales
• Ciencia de Decisiones
• Emprendimiento Público
• Política Pública y Gobierno

Líder

Edmundo Molina Pérez - edmundo.molina@tec.mx

 

Miembros

Adolfo Javier De Unanue Tiscareño
Alejandra Macias
Alejandro Alfonso Poiré Romero
Carlos Elizondo Mayer Serra
Edgar Arturo Barroso Merino
Fabián Lozano García
Fernando Gómez
Grisel Ayllon
Isaac Molina
Hilda Zamora
Grisel Olivera
Gustavo Merino  
Luis Alberto Serra Barragán
Roberto Durán Fernández
Roberto Ponce López
Zeus Hiram Zamora Guevara

 

Publicaciones más relevantes

• Ponce-Lopez, Roberto, and Joseph Ferreira Jr. Identifying and characterizing popular non-work destinations by clustering cellphone and point-of-interest data. Cities 113 (2021): 103158.

• He, He, Roberto Ponce-Lopez, Jingsi Shaw, Diem-Trinh Le, Joseph Ferreira, and P. Christopher Zegras. Representing accessibility: Evidence from vehicle ownership choices and property valuations in Singapore. Transportation Research Record 2673, no. 2 (2019): 724-733.

• Basu, Rounaq, Joseph Ferreira, and Roberto Ponce-Lopez. A framework to generate virtual cities as sandboxes for land use-transport interaction models. Journal of Transport and Land Use 14, no. 1 (2021): 303-323.

• Olivera-Martínez, Grissel, and Adelaido García-Andrés. Infraestructura hospitalaria y personal médico del Sistema Público de Salud en México ante la pandemia por COVID-19. Ciencias Administrativas. Teoría y Praxis 17, no. 2 (2021): 85-105.

• Gómez-Zaldívar, Fernando, and Edmundo Molina-Perez. Evolution of the Productive Capabilities of Mexico: Economic Complexity Analysis for the Development of Special Economic Zones (SEZ). The International Trade Journal 35, no. 1 (2021): 4-18.

• Estrada, Luis, and Alejandro Poiré. The Mexican standoff: taught to protest, learning to lose. Journal of Democracy 18, no. 1 (2007): 73-87.

• Groves, David G., Edmundo Molina-Perez, Evan Bloom, and Jordan R. Fischbach. Robust Decision Making (RDM): Application to Water Planning and Climate Policy. In Decision Making under Deep Uncertainty, pp. 135-163. Springer, Cham, 2019.

• Serra-Barragán, Luis, Edmundo Molina-Perez, and Zeus Guevara. Energy and Environmental Policy and Economic Development. In Energy Issues and Transition to a Low Carbon Economy, pp. 31-57. Springer, Cham, 2022.

• Molina-Perez, E., Esquivel-Flores, O. A., & Zamora-Maldonado, H. (2020). Computational Intelligence for Studying Sustainability Challenges: Tools and Methods for Dealing With Deep Uncertainty and Complexity. Frontiers in Robotics and AI, 7, 111.

• Zamora-Maldonado, Hilda Consuelo, Véronique Sophie Avila-Foucat, Víctor Gelasio Sánchez-Sotomayor, and Raymond Lee. Social-ecological Resilience Modeling: Water Stress Effects in the Bighorn Sheep Management System in Baja California Sur, Mexico. Ecological Complexity 45 (2021): 100884.

 

Proyectos más relevantes

• URBAN SPRAWL IN MONTERREY
Founder: Fundación FEMSA
Líder: Dr. Roberto Ponce
This project investigates the process of urban sprawl in Monterrey, quantifying the amount of land consumed and delving into the cost estimation of this pattern of urbanization for the public finances of the city. The project oversees the causes and consequences of urban sprawl in Mexico. Learn more here: https://www.expansionurbanamty.mx/

• An Implementation of SLEUTH as an Open Platform for Doing Scenario Planning to Predict Urban Growth
Founder: Fundación FEMSA
Líder: Dr. Roberto Ponce
This project proposes a ready to use implementation of a cellular automata for scenario planning applied to urban growth. The most observed geographical pattern of growth characterizing fast growing cities is sprawling. The urban land consumption per capita significantly increased, on average, in cities over the 1990-2000 and 2000 and 2014 periods, according to the Atlas of Urban Expansion. Urban sprawl has dire consequences on miles per vehicle traveled, CO2 and the provision of public services. The evidence has shown that reversing this trend requires decisive policy actions from local governments. The problem is that local governments, especially in developing countries, do not possess the human capital, technical proficiency and financial resources to develop a sophisticated and easy to test policy interventions under a framework of scenario planning. Our project addresses such limitations by reimplementing the SLEUTH model/ simulator developed by Keith C. Clarke, a tool for predicting urban growth that is well established in the literature.   

We have reimplemented the SLEUTH model/simulator to increase the access of local governments to scenario planning for urban growth through an easy and ready to use digital tool that works with open access data. SLEUTH is a cellular automaton that simulates 3 growth processes: spontaneous growth, edge growth, and road influence growth. Each growth phase is controlled by a set of parameters calibrated using past growth data. Three are the main limitations of current implementations of SLEUTH to be widely used by local governments and regions. First, the code of most implementations is written in C++, and does not follow modern and best practices for coding. Second, the model needs to be fed with satellite imagery and raster files on historic urbanized land, elevations, and roads access. Third, the process of calibrating the parameters to historical data is long, tedious, and not automated. These three elements are a barrier of entry for local governments without a developed technical capacity to do scenario planning for urban growth.

To address these limitations in SLEUTH, we built an interactive digital platform that performs remote data integration from Google Earth Engine to feed the satellite imagery and rasters into the SLEUTH model in an automated way, allowing a real time exploration of SLEUTH generated scenarios. We reimplemented SLEUTH program in Python to better integration with modern data formats and frameworks and facilitate experimenting and new feature development for SLEUTH based growth models.  We tested new calibration methods based on machine learning to improve SLEUTH's calibration speed. The platform simulates growth for all major cities in Latin America in an automated way, relying on open access platforms and data.

• Latin American Pathways to Net-Zero Greenhouse Gas Emissions
Líder: Dr. Edmundo Molina
Founder: Banco Interamericano de Desarrollo
RAND and Tecnológico de Monterrey have partnered to evaluate decarbonization plans in Costa Rica and Chile in recent years . In these studies, the research team applied Robust Decision Making (RDM) to develop and evaluate different scenarios of emissions with and without the implementation of the decarbonization actions roughly consistent with the countries’ Nationally Determined Contributions (NDCs). These studies then identified the key conditions that would lead the decarbonization strategies to hit or miss their emissions objectives.

This proposed study builds upon these two successful studies by (a) leveraging the tools already developed and (b) advancing our approach based on the many lessons learned. The study proposes to develop a novel integrated Latin America decarbonization model that estimates emissions and decarbonization net benefits by sector and country under a wide range of regional and country-specific futures. For example, our integrated model would ensure that consistent assumptions are made for factors that affect Latin American countries similarly, such as similar costs of imported technology. Then, RDM and this model will be used to develop plausible decarbonization pathways for each Latin American country, and the region as a whole, and identify the key uncertain trends that must be monitored and managed in order for the region to meet net zero emissions by 2050.

The research team of Tecnológico de Monterrey will assist the RAND team on carrying out stakeholder engagements, implementing the RDM framework and on gathering the needed information for estimating emissions and decarbonization net benefits, or to develop proxy approaches in the absence of data. This information will be integrated into the RDM-informed modeling and analysis. The final product will be based on an integrated analysis; in addition, the individual country modeling components will be shared with each country for their continued development and use.

• Advise and Support in LTS Exploratory Modeling to Support Countries in LTO Exploration and LTS Modeling
Líder: Dr. Edmundo Molina
Founder: Banco Mundial
Tecnologico de Monterrey will support the World Bank’s programmatic ASA, Long-term Low-Carbon Planning in Pilot Countries providing an exploratory decarbonization platform that can be used to estimate greenhouse gas emissions pathways for specific countries, based on the multi-sectorial specification of decarbonization strategies, and the estimation of the associated implementation costs and resulting broader societal benefits. Additionally, this platform will help the World Bank team explore how these pathways, costs and benefits vary with respect to different assumptions about long-term socio-economic, technological, and environmental conditions, as well as with respect to implementation progress of decarbonization strategies.

This effort will focus on five countries,  including Egypt, Turkey, Jordan, Uzbekistan and Dominican Republic. The TdM team will assembly the datasets required for carrying out the analyses and assist the World Bank team in configuring the modeling platform to the needs of each nation case study. The TdM team will also support the adoption of this platform by the World Bank team so they can use it more flexibly and update the analysis as needed.

• A cognitive modeling approach for understanding computational intelligence-human interactions in uncertain and complex decision-making environments
Líder: Dr. Edmundo Molina
Founder: US Air Force
Decision-making in complex and uncertain environments is a high-level individual or group process that depends on various cognitive, psychological, and social mechanisms, such as perception, attention, memory, abstract thinking, and debate. In particular, uncertain and complex environment require series of decisions to be made, with each decision depending on rapidly changing information, complex computational intelligence tools (CITs), detailed data analysis tasks and multiple agents’ perspectives.

There is limited empirical evidence that analyzes how CITs interact with decision makers in critical decision-making situations or that describes the cognitive and neurological mechanisms through which CITs influence individuals’ integrative complexity traits. We also do not have sufficient information that describes how is that CITs’ characteristics interact with decision makers’ own characteristics (e.g., group size, age, field of expertise). Finally, little is known about the potential externalities that CITs may have on decision-making in these types of environments, such as overreliance, mistrust, or model rejection.

To address these knowledge gaps, this study proposes to combine behavioral experimentation and neuroscientific methods to develop a cognitive model that describes the impact that CITs have on decisions being made in complex and uncertain environments. In particular, this study seeks to address the following research questions:

What is the marginal impact of CITs’ components on individuals’ cognitive bandwidth in complex and uncertain decision-making environments?
What is the marginal impact of CITs’ components on individuals’ level of integrative complexity in complex and uncertain decision-making environments?  
Under which combination of experimental parameters CITs have a positive impact on decision makers’ ability to deal with complex and uncertain environments?  
Under which combination of experimental parameters CITs impact positively individuals’ level of integrative complexity when dealing with a ambiguous or deeply uncertain problem?
Under which combination of experimental parameters CITs lead to mistrust, technological overreliance, model rejection or gridlock in complex and uncertain environments?  
Can the lessons learned in these experiments be generalized across different decision context?
This interdisciplinary approach can contribute to: i) objectively illustrate decision makers’ models of beliefs and values,, ii) identify the impact and mechanisms through which CITs influence individuals’ integrative complexity traits, iii) support CITs interventions in crisis situations, and iv) contribute to the development of modern decision sciences. Ultimately, this integrative approach can result in formal cognitive models of decision making under uncertainty and complexity that will grant the scientific community a deeper understanding of the mechanisms by which CITs and decision makers interact under rapidly evolving environments.

Frequently Asked Questions - Residence Halls

Frequently Asked Questions

1. Can I enter the Residence Hall at any time?

Of course! We know that sometimes you will have to stay up late to study or go out with your friends, however, remember that it is important to register your arrival at the reception of your building mentioning your name, building and room. If at any time you are going to stay overnight outside of Residencias Tec, don't forget to notify reception.

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5. Can I stay on vacation in Residences?

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6. Will I be able to leave my belongings on vacation?

Some campuses have a belongings storage service for those residents who have a space reserved for the following academic period. On other occasions, residents must store their belongings in their closets at the end of the semester.

7. I have some disagreement, where should I go?

We assure you that these will be minimal since we are constantly working to offer you excellent experience. In the unlikely event that any disagreement arises, do not hesitate to share it with your prefect, they will know where to go and tell you the actions to take.

8. Can I choose my roommate?

Yes, it is possible, all you need to do is meet the following requirements:

  • Let them request each other.
  • That they request the same building (applies only to the Monterrey campus).
  • They must carry out the admission requirements and processes at the same time.

9. Recommendations and/or suggestions for items that you cannot bring:

  • Candles
  • Incenses
  • oil lamp
  • Nails
  • screws
  • Double-sided tape
  • Hammer
  • electric frying pans
  • electric grills
  • toasters
  • Any type of coolers (water and/or air)
  • Microwaves
  • Coffee makers
  • Any electrical resistance device
  • pets

Preguntas Frecuentes de Residencias Tec

Preguntas Frecuentes

1. ¿Puedo entrar a Residencias a cualquier hora?

¡Claro que sí! Entendemos que en ocasiones tendrás que quedarte a estudiar hasta tarde o saldrás con tus amigos, sin embargo, recuerda que es importante registrar tu llegada en la recepción de tu edificio mencionando tu nombre, edificio y cuarto.  Si en algún momento te vas a quedar a dormir fuera de Residencias Tec, no te olvides de avisar en la recepción. 

2. ¿Cuándo puedo llegar y cuándo debo salir de Residencias?

La fecha a partir de la cual los residentes pueden ocupar sus habitaciones es el jueves anterior al primer día de clases en los períodos semestrales y, en el caso del verano, será el viernes anterior al primer día de clases. La fecha límite para que los residentes permanezcan en las residencias universitarias será de 24 a 48 horas después del último examen final.

3. Tengo problemas con mi compañero(a) de cuarto, ¿me salgo de Residencias?

¡Claro que no! Con ayuda de tu prefecto y la coordinación de área de tu edificio buscaremos solución a tu situación, para encontrar la mejor opción para tu caso.

4. ¿Puede quedarse a dormir mi visita en mi cuarto?

No está permitido que alguna visita se quede a dormir en tu habitación, sin embargo, puedes consultar si hay alguna disponibilidad y programar tu hospedaje directamente en las Residencias de tu campus.

5. ¿Puedo quedarme en vacaciones en Residencias?

Queremos que disfrutes tu estancia en la ciudad y en el Tec, pero también deseamos que disfrutes tu casa, así que aprovecha este tiempo con tu familia o amigos, ya que Residencias Tec no ofrece servicio en fechas posteriores al fin de cursos.

6. ¿Podré dejar mis pertenencias en vacaciones?

Algunos campus cuentan con el servicio de almacenaje de pertenencias para aquellos residentes que cuenten con un espacio reservado para el periodo académico siguiente. En otras ocasiones los residentes deben resguardar sus pertenencias en sus clósets al terminar el semestre.

7. Tengo alguna inconformidad ¿a dónde debería acudir?

Te aseguramos que éstas serán mínimas ya que constantemente estamos trabajando para ofrecerte una excelente experiencia. En el remoto caso que se presentara alguna inconformidad no dudes en compartirla con tu prefecto o prefecta, ellos sabrán a dónde acudir y te dirán las acciones a tomar.

8. ¿Puedo escoger a mi compañero de cuarto?

Sí es posible, lo único que se necesita es cumplir con los seguimientos requerimientos:

  • Que se soliciten mutuamente.
  • Que pidan el mismo edificio (aplica sólo para campus Monterrey).
  • Deben realizar a la par los requisitos y procesos de admisión.

9. Recomendaciones y/o sugerencias de artículos que no puedes traer:

  • Velas
  • Inciensos
  • Lámpara de aceite
  • Clavos
  • Tornillos
  • Cinta doble cara
  • Martillo
  • Sartenes eléctricos
  • Parrillas eléctricas
  • Tostadores
  • Cualquier tipo de enfriadores (agua y /o aire)
  • Hornos de microondas
  • Cafeteras
  • Cualquier aparato de resistencia eléctrica
  • Mascotas 

Privacy Notice for Board Members

"In the event of a discrepancy between the content of the English version and the original Spanish version the latter shall prevail".

The publication of the content of this english version of the privacy notice prevails for informative aims, thus, it shall have no legal effects.

Identity and address of the Personal information controller.

The controller of the personal information that you provide is Instituto Tecnológico y de Estudios Superiores de Monterrey (onwards Tecnológico de Monterrey), located at Avenida Eugenio Garza Sada 2501, Sur Colonia Tecnológico, Monterrey, Nuevo León C.P. 64700.

Personal information and sensitive personal information processed by Tecnológico de Monterrey

In order to comply with the specified and legitimate purposes, declared in the Privacy Notice, Tecnológico de Monterrey will process personal identification data, including your personal image through photographs and/or videos, contact data, patrimonial and/or financial data, employment data, location data and academic data.

On the other hand, we inform you that Tecnológico de Monterrey in order to comply with the purposes stated in this Privacy Notice may collect and process personal identification and contact data of third parties when you provide such information to be used in contact activities, representation and / or attendance at events. We remind you that, by providing the necessary personal data of these third parties you acknowledge having the consent for Tecnológico de Monterrey to treat them in order to comply with the primary and necessary purposes indicated in this Privacy Notice.

Primary Purposes

Tecnológico de Monterrey will process your personal information for the following necessary and primary purposes:

  • For the creation of a profile and for the administration of your participation as a board member of Tecnológico de Monterrey;
  • To share your information with the members of the board to which you belong.
  • For the administration of physical access to the facilities of Tecnológico de Monterrey and any other venue where Board meetings, assemblies and all kinds of Institutional Committees are held;
  • For the administration of your electronic access to the systems and technological infrastructure of Tecnológico de Monterrey;
  • To invite you to conferences, symposiums and all kinds of educational, cultural and/or sporting events;
  • To provide you with training.
  • To contact your relatives in case of emergency.
  • To generate internal reports
  • To respond to doubts, queries and/or clarifications that you formulate.
  • To comply with the obligations set forth in the applicable regulations.

We inform you that you cannot oppose so that Tecnologico de Monterrey stops processing your persona data for the previous necessary and primary purposes, in order to comply with the obligations related to your relationship with Tecnológico de Monterrey.

Secondary purposes

In addition, if you do not oppose, Tecnológico de Monterrey will process your personal information for the following additional purposes, which are not necessary for the relationship between you and Tecnológico de Monterrey, but which permit and facilitate providing you with a better service:

  • Dissemination of greetings and other celebrations and special days;
  • Your personal image, in photo or video, may be used in the elaboration of informative and promotional material;
  • To invite you to participate in financial campaigns or for the solicitation of sponsorship or support;
  • To carry out the promotion and offering of products and services including those related to the insurance industry provided by third party companies with which we have entered into binding legal agreements;
  • To carry out treatments of massive data analysis techniques for profiling activities from combining information provided by you and that which is in ITESM's possession, that obtained from publicly available sources, including social networks, and that information that can be inferred or obtained as a result of the application of various data analysis technologies. The above to determine your suitability to make donations and contributions through ITESM's donation programs.

In case that you do not wish your personal information to be processed for any or all of these additional purposes, since this moment you can communicate us the aforementioned to the email datospersonales@itesm.mx.

The negative to the use of your personal information for the additional purposes will not be a reason to terminate the relationship established with us.

Transfers

Tecnológico de Monterrey, in order to comply with the necessary purposes aforedescribed or others legally or by the competent authorities required, will transfer the necessary personal information to the following organizations and for the following purposes:

 

Third party receiver of personal data Purpose Consent
Competent authorities When required by law. Not required
Financial and credit institutions Fulfillment of contractual obligations, and validation of your information by third party recipients. Not required
Third-party companies with which we intend to enter into collaboration and sponsorship agreements and donation contracts. Fulfillment of contractual obligations, and validation of your information by third party recipients. Not required
Business partners in the insurance industry with whom we have entered into binding legal agreements. So that these third parties can contact you, identify your insurance needs and offer you products and/or services that match your profile. Required

If you do not want Tecnológico de Monterrey to transfer your personal information for those transfers for which your consent is necessary, we ask you to send an email to the direction datospersonales@itesm.mx, where you will be served in time and form.

ARCO rights and/or revocation of consent

You or your legal representative may exercise any of the access, rectification, cancelation or opposition rights (hereafter “ARCO rights”), as well as to revoke your consent for the processing of your personal information by sending an email to the Data Protection Department address: datospersonales@itesm.mx

In this sense, you can get informed about procedures, requirements and deadlines for the exercise of your ARCO rights and/or revocation of your consent in our web page https://tec.mx/es/derechos-arco-yo-revocacion-del-consentimiento.

Limitations and/or divulgation of your data

You will be able to limit the use or divulgation of your personal information by sending your request at the mail datospersonales@itesm.mx. In case that your application is approved you will be registered in the exclusion list from Tecnológico de Monterrey.

Use of cookies, web beacons and other similar technologies

We inform you that in some of our webpages we use cookies and other technologies, through which it is possible to monitor your behavior as an internet user, as well as to provide you a better service and experience while browsing in our webpage. The personal information which can be collected through the use of these technologies are the following: Identifiers, user name and password of a session, region you locate at, kind of browser, OS, date and time of starting and ending of a session, webpages visited, searches realized and advertising reviewed. These technologies may be disabled following the procedures of the internet browser you are using.

Instituto Nacional de Transparencia, Acceso a la Información y Protección de Datos Personales (INAI).

If deemed necessary, we inform you that you have the right to go before the National Institute of Transparency, Information Access and Personal Data Protection (INAI) to exercise your rights.

Changes in the Privacy Notice

Tecnológico de Monterrey will inform you about any changes or upgrades to this privacy notice through https://tec.mx/es/avisos-de-privacidad and subsequently accessing to our privacy notice.

Acceptance to the Privacy Notice

Through this, you are aware that Tecnológico de Monterrey will process your personal information for those purposes for which it is necessary your consent, and recognize that this Privacy Notice was at your disposal before the processing of your personal information. Likewise, you declare having informed those people whose personal information, you have provided us with, the entire use that the personal data controller will apply to them and that you have their authorization.

Last update: July 2022

Aviso de Privacidad Consejeros

Identidad y domicilio del Responsable

El Responsable de los datos personales que usted proporciona es Instituto Tecnológico y de Estudios Superiores de Monterrey(en adelante Tecnológico de Monterrey), ubicado en Avenida Eugenio Garza Sada 2501, Sur Colonia Tecnológico, Monterrey, Nuevo León C.P. 64700

Datos personales y datos personales sensibles tratados por Tecnológico de Monterrey

Tecnológico de Monterrey para cumplir con las finalidades previstas en este Aviso de Privacidad tratará datos personales de identificación, incluyendo su imagen personal a través de fotografías y/o videos, datos personales de contacto, datos patrimoniales y/o financieros, datos laborales, datos de ubicación y datos académicos.

Por otro lado, le informamos que Tecnológico de Monterrey para dar cumplimiento a las finalidades informadas en este Aviso de Privacidad podrá recabar y dar tratamiento a datos personales de identificación y de contacto de terceros cuando usted facilite dicha información para ser usada en actividades de contacto, representación y/o asistencia a eventos. Le recordamos que, al proporcionar los datos personales necesarios de estos terceros usted reconoce tener el consentimiento para que Tecnológico de Monterrey trate éstos para cumplir con las finalidades primarias y necesarias señaladas en el presente Aviso de Privacidad.

Finalidades primarias

Tecnológico de Monterrey tratará sus datos personales para las siguientes finalidades primarias y necesarias:

  • Para la creación de un perfil y para la administración de su participación como consejero del Tecnológico de Monterrey;
  • Para compartir su información a los miembros del consejo al que pertenezca
  • Para la administración del acceso físico a las instalaciones del Tecnológico de Monterrey y de cualquier otra sede donde se celebren sesiones de Consejo, asambleas y toda clase de Comités Institucionales;
  • Para la administración de su acceso electrónico a los sistemas e infraestructura tecnológica del Tecnológico de Monterrey;
  • Para invitarle a conferencias, simposios y todo tipo de eventos educativos, culturales y/o deportivos;
  • Para brindarle capacitaciones.
  • Para contactar con sus familiares en caso de emergencia.
  • Generar reportes de carácter interno
  • Dar respuesta a dudas, consultas y/o aclaraciones que usted formule.

Le informamos que usted no puede oponerse para que Tecnológico de Monterrey cese el tratamiento de sus datos para las finalidades primarias y necesarias, anteriormente mencionadas, en virtud de que el tratamiento es necesario para cumplir obligaciones derivadas de la relación entre usted y Tecnológico de Monterrey.

Finalidades secundarias

Además, si usted no se opone, Tecnológico de Monterrey tratará sus datos personales para las siguientes finalidades adicionales que no son necesarias para el servicio solicitado, pero que permiten y facilitan brindarle una mejor atención:

  • Difusión de felicitaciones y demás celebraciones y días especiales;
  • Su imagen personal, en foto o video, podrá utilizarse en la elaboración de material informativo y promocional;
  • Para invitarle a participar en campañas financieras o para la requisición de patrocinios o apoyos;
  • Para llevar a cabo la promoción y ofrecimiento de productos y servicios incluyendo aquellos referentes al ramo de seguros proporcionados por terceras empresas con las que tengamos celebrados acuerdos jurídicos vinculantes;
  • Realizar tratamientos de técnicas de análisis masivo de datos para actividades de perfilamiento a partir de combinar información facilitada por usted y aquella que obre en posesión de ITESM, la obtenida de fuentes de acceso público, incluyendo redes sociales, y aquella información que se pueda inferir u obtener como resultado de la aplicación de diversas tecnologías de análisis de datos. Lo anterior para determinar su aptitud para realizar donativos y aportaciones a través de los programas de donación de ITESM.

En caso de que no desee que sus datos personales sean tratados para alguna o todas las finalidades adicionales, desde este momento usted nos puede comunicar lo anterior al correo datospersonales@itesm.mx.

La negativa para el uso de sus datos personales para las finalidades adicionales no podrá ser motivo para dar por terminada la relación establecida con nosotros.

Transferencias

Tecnológico de Monterrey ,para cumplir las finalidades necesarias anteriormente descritas u otras exigidas legalmente o por las autoridades competentes transferirá los datos personales necesarios a las siguientes organizaciones y para los siguientes fines:

Tercero receptor de los datos personales Finalidad Consentimiento
Autoridades competentes En los casos  legalmente previstos No necesario
Instituciones financieras y de crédito Cumplimiento de obligaciones contractuales, y la validación de su información por los terceros receptores. No necesario
Terceras empresas con las cuales se pretenda celebrar convenios de colaboración y patrocinio y contratos de donación Cumplimiento de obligaciones contractuales, y la validación de su información por los terceros receptores. No necesario
Socios comerciales en la industria de seguros con los que tengamos celebrados acuerdos jurídicos vinculantes Para que estos terceros puedan contactarle, identificar sus necesidades de seguros y ofrecerle productos y/o servicios que resulten acordes a su perfil. Necesario

Si usted no desea que Tecnológico de Monterrey transfiera sus datos personales para aquellas transferencias para las cuales es necesario su consentimiento le pedimos que envíe un correo electrónico a la dirección datospersonales@itesm.mx, en donde se le atenderá en tiempo y forma.

Derechos ARCO y/o revocación del consentimiento

Usted o su representante legal podrá ejercer cualquiera de los derechos de acceso, rectificación, cancelación u oposición (en lo sucesivo “derechos ARCO”), así como revocar su consentimiento para el tratamiento de sus datos personales enviando un correo electrónico al Departamento de Protección de Datos personales a la dirección electrónica datospersonales@itesm.mx.

En este sentido, puede informarse sobre los procedimientos, requisitos y plazos para el ejercicio de sus Derechos ARCO y/o revocación del consentimiento en nuestra página de internet https://tec.mx/es/derechos-arco-yo-revocacion-del-consentimiento.

Limitación y/o Divulgación de sus datos

Usted podrá limitar el uso o divulgación de sus datos personales enviando su solicitud al correo datospersonales@itesm.mx. En caso de que su solicitud sea procedente se le registrará en el listado de exclusión propio de Tecnológico de Monterrey.

Uso de cookies, web beacons y otras tecnologías similares

Le informamos que en algunas de nuestras páginas de internet utilizamos cookies y otras tecnologías, a través de las cuales es posible monitorear su comportamiento como usuario de internet, así como brindarle un mejor servicio y experiencia al navegar en nuestra página. Los datos personales que se pueden obtener a través del uso de estas tecnologías son los siguientes: Identificadores, nombre de usuario y contraseñas de una sesión, región en la que se encuentra, tipo de navegador, tipo de sistema operativo, fecha y hora del inicio y final de una sesión, páginas web visitadas, búsquedas realizadas y publicidad revisada. Estas tecnologías podrán deshabilitarse siguiendo los procedimientos del navegador de internet que utiliza.

Instituto Nacional de Transparencia, Acceso a la Información y Protección de Datos Personales (INAI)

En caso de considerarlo necesario, le informamos que tiene el derecho de acudir ante el Instituto Nacional de Transparencia, Acceso a la Información y Protección de Datos Personales (INAI) para hacer efectivos sus derechos.

Cambios al Aviso de Privacidad 

Tecnológico de Monterrey le notificará sobre cambios o actualizaciones al presente aviso de privacidad a través de la liga https://tec.mx/es/avisos-de-privacidad y posteriormente accediendo a su Aviso de Privacidad.

Aceptación al Aviso de Privacidad 

Por medio del presente usted es consciente que Tecnológico de Monterrey trate sus datos personales para aquellas finalidades para las cuales es necesario su consentimiento, y reconoce que el presente Aviso de Privacidad fue puesto a disposición previo al tratamiento de sus datos personales. Asimismo, declara que ha informado a las personas de las cuales ha proporcionado datos personales, del tratamiento que el Responsable dará a los mismos y que cuenta con su autorización.

Última actualización: 06/07/2022
 

Puebla- Residence Hall I

Location: Off-campus, Lomas de Angelópolis Residence Hall

Contact: Jesús Daniel Nieto Santillana

Email: residencias.pue@servicios.itesm.mx

Telephone: (222) 225.70.37

 

Fachada Sala de juegos Sala de juegos Mindroom Videojuegos Escritorio Resibus Camas individuales Lavandería Asadores
Female and Male Rooms
  • Suite (with living room)
  • Apartments (with living room)
Common Areas
  • Barbecue grills
  • Guest bathroom
  • Common kitchen
  • Equipped kitchen
  • Parking lot
  • Laundry
  • Lobby
  • Internet
  • Study rooms
  • Multi-purpose room
  • Utilities included (water, electricity, gas)
  • Convenience store
  • Games room
  • TV room
  • Transportation to the campus
  • Security 24/7
Room Features
  • Cleaning service
  • Kitchenette (apartments, suites)
  • Cablevision
  • Mini-fridge (apartments)
  • Internet building-wide
  • Refrigerator (suites)
  • Private bathroom
  • TV (suites)

Puebla- Residencias I

Ubicación: Fuera del Campus, Residencias Lomas de Angelópolis

Contacto: Jesús Daniel Nieto Santillana

Correo: residencias.pue@servicios.itesm.mx

Teléfono: (222) 225.70.37

Comienza tu proceso de admisión llenando la solicitud de residencias aquí

 

Fachada Sala de juegos Sala de juegos Mindroom Videojuegos Escritorio Resibus Camas individuales Lavandería Asadores
Habitaciones Femeninas y Masculinas
  • Suite (con estancia)
  • Departamentos (con estancia)
Áreas Comunes
  • Asadores
  • Baño de visitas
  • Cocina común
  • Cocina equipada
  • Estacionamiento
  • Lavandería
  • Lobby
  • Internet
  • Salas de estudio
  • Salón multiusos
  • Servicios incluidos (agua, luz, gas)
  • Tienda de conveniencia
  • Sala de juegos
  • Sala de tv
  • Transporte al campus
  • Vigilancia 24/7
Características de la Habitación
  • Servicio de limpieza
  • Cocineta (departamentos, suites)
  • Cablevisión
  • Frigobar (departamentos)
  • Internet en todo el edificio
  • Refrigerador (suites)
  • Baño privado
  • Pantalla (suites)