INSTRUCTIONS – Read the following text carefully and then choose the correct alternatives that answer the questions.

THE SADDEST TWEETERS LIVE IN TEXAS

Melody Kramer for National Geographic - Published May 29, 2013

Researchers analyzed ten million tweets to map happiness in the U.S.

Average word happiness for geotagged tweets in U.S. states collected in 2011. Redder states have higher averages and bluer states have lower averages.

Image courtesy Mitchell et al, PLoS ONE

The town of Beaumont is known as "Texas … with a little something extra." But the industrial town along the Gulf Coast now has a more dubious distinction: It's been named the saddest city in America—at least, if you're measuring sadness on Twitter.

That's according to a group of researchers at the Vermont Complex Systems Center, who analyzed over 80 million words from more than ten million geotagged tweets written throughout 2011. The results of their study, published Wednesday in the journal PLoS ONE, showed that the happiest tweeters in the U.S. live in Napa, California, and their sad counterparts live mostly in the Rust Belt and along the Gulf Coast border.

"You can infer a lot of information about an area based on what people are writing on Twitter," says Christopher Danforth, a mathematician and a co-author of the study.

Danforth explains how his team measured the emotional state of a tweet: They created a simple computer algorithm to analyze the words within the tweets themselves. Each word was measured on a happiness scale, which his team had previously created using paid workers from Amazon's Mechanical Turk service. The workers were asked to score more than 10,000 common English words on a happiness scale from 1 to 9. Words like "laughter," "love," "rainbow," and "smile" made the top of the list; at the very bottom—unsurprisingly—were words like "terrorist," "ugly," "cancer," "die," and "fatal."

A GEOGRAPHY OF HAPPINESS

Using that list, researchers then collected tweets from more than 300 separate cities and towns across the United States and created an algorithm to assess how frequently "happy" words occurred vs. how frequently "sad" words occurred in different places. For example, people in Napa were much more likely to tweet the word "hope" than were their counterparts living along the Gulf Coast.

"The differences in the words people used told us a lot about the cities themselves," says Lewis Mitchell, a mathematician and the study's lead author. "Essentially we were able to create a geography of happiness."

Many of the places at the very top of the list— Hawaii, Maine, and Napa—are also top vacation spots. A previous study by the same researchers indicated that people tend to use less-negative words when they're far away from home. But other places near the top of the list—like Green Bay, Wisconsin, and Spokane, Washington—aren't really tourist destinations.

The researchers say they plan to look at tourism's role in a future study. They also plan to analyze tweets in other languages. The current study looks only at tweets written in English, which could skew data in parts of the United States where many people tweet in Spanish.

In addition, the researchers plan to look at profanity more closely. Their current findings suggest that one of the major driving forces in a city's happiness—or lack thereof—is how frequently people use curse words in their tweets.

"People curse more and more as the day goes on," says Danforth, "but there are definitely places where profanity is more common. In the South, more people are cursing on Twitter. It's a tapestry of negative words."

TRENDING SADDER

He notes that many of the cities close to the bottom of their happiness list also rank low on other lists that measure factors like health outcomes and quality of life.

"The people at the bottom of our list live in states that are more socioeconomically depressed and where more natural disasters occur," he says."There are higher rates of poverty, and the median incomes are lower."

This might explain why places like Beaumont and Shreveport, Louisiana, have sadder tweets. But it doesn't explain one surprising finding: Tweets across the country are getting sadder, in general.

"If you go through all of the demographics since 2008, it's getting sadder everywhere," says Mitchell. "There's a strong downward trend. We don't know why this is."

He recently made a Twitter account— @geographyofhapp—that tracks the happiest and saddest cities on Twitter on a daily basis. But his own personal Twitter account—@dr_pyser— remains cheerfully optimistic.

"I try to be more conscious of what I'm talking about online and the way I talk about it," says Mitchell. "I try to put my best self out there."

http://news.nationalgeographic.com/news/2013/05/130529-saddest-happieststates-twitter-texas-maine-hawaii-california/y

INSTRUCTIONS – Read the following text carefully and then choose the correct alternatives that answer the questions.

THE SADDEST TWEETERS LIVE IN TEXAS

Melody Kramer for National Geographic - Published May 29, 2013

Researchers analyzed ten million tweets to map happiness in the U.S.

Average word happiness for geotagged tweets in U.S. states collected in 2011. Redder states have higher averages and bluer states have lower averages.

Image courtesy Mitchell et al, PLoS ONE

The town of Beaumont is known as "Texas … with a little something extra." But the industrial town along the Gulf Coast now has a more dubious distinction: It's been named the saddest city in America—at least, if you're measuring sadness on Twitter.

That's according to a group of researchers at the Vermont Complex Systems Center, who analyzed over 80 million words from more than ten million geotagged tweets written throughout 2011. The results of their study, published Wednesday in the journal PLoS ONE, showed that the happiest tweeters in the U.S. live in Napa, California, and their sad counterparts live mostly in the Rust Belt and along the Gulf Coast border.

"You can infer a lot of information about an area based on what people are writing on Twitter," says Christopher Danforth, a mathematician and a co-author of the study.

Danforth explains how his team measured the emotional state of a tweet: They created a simple computer algorithm to analyze the words within the tweets themselves. Each word was measured on a happiness scale, which his team had previously created using paid workers from Amazon's Mechanical Turk service. The workers were asked to score more than 10,000 common English words on a happiness scale from 1 to 9. Words like "laughter," "love," "rainbow," and "smile" made the top of the list; at the very bottom—unsurprisingly—were words like "terrorist," "ugly," "cancer," "die," and "fatal."

A GEOGRAPHY OF HAPPINESS

Using that list, researchers then collected tweets from more than 300 separate cities and towns across the United States and created an algorithm to assess how frequently "happy" words occurred vs. how frequently "sad" words occurred in different places. For example, people in Napa were much more likely to tweet the word "hope" than were their counterparts living along the Gulf Coast.

"The differences in the words people used told us a lot about the cities themselves," says Lewis Mitchell, a mathematician and the study's lead author. "Essentially we were able to create a geography of happiness."

Many of the places at the very top of the list— Hawaii, Maine, and Napa—are also top vacation spots. A previous study by the same researchers indicated that people tend to use less-negative words when they're far away from home. But other places near the top of the list—like Green Bay, Wisconsin, and Spokane, Washington—aren't really tourist destinations.

The researchers say they plan to look at tourism's role in a future study. They also plan to analyze tweets in other languages. The current study looks only at tweets written in English, which could skew data in parts of the United States where many people tweet in Spanish.

In addition, the researchers plan to look at profanity more closely. Their current findings suggest that one of the major driving forces in a city's happiness—or lack thereof—is how frequently people use curse words in their tweets.

"People curse more and more as the day goes on," says Danforth, "but there are definitely places where profanity is more common. In the South, more people are cursing on Twitter. It's a tapestry of negative words."

TRENDING SADDER

He notes that many of the cities close to the bottom of their happiness list also rank low on other lists that measure factors like health outcomes and quality of life.

"The people at the bottom of our list live in states that are more socioeconomically depressed and where more natural disasters occur," he says."There are higher rates of poverty, and the median incomes are lower."

This might explain why places like Beaumont and Shreveport, Louisiana, have sadder tweets. But it doesn't explain one surprising finding: Tweets across the country are getting sadder, in general.

"If you go through all of the demographics since 2008, it's getting sadder everywhere," says Mitchell. "There's a strong downward trend. We don't know why this is."

He recently made a Twitter account— @geographyofhapp—that tracks the happiest and saddest cities on Twitter on a daily basis. But his own personal Twitter account—@dr_pyser— remains cheerfully optimistic.

"I try to be more conscious of what I'm talking about online and the way I talk about it," says Mitchell. "I try to put my best self out there."

http://news.nationalgeographic.com/news/2013/05/130529-saddest-happieststates-twitter-texas-maine-hawaii-california/y

INSTRUCTIONS – Read the following text carefully and then choose the correct alternatives that answer the questions.

THE SADDEST TWEETERS LIVE IN TEXAS

Melody Kramer for National Geographic - Published May 29, 2013

Researchers analyzed ten million tweets to map happiness in the U.S.

Average word happiness for geotagged tweets in U.S. states collected in 2011. Redder states have higher averages and bluer states have lower averages.

Image courtesy Mitchell et al, PLoS ONE

The town of Beaumont is known as "Texas … with a little something extra." But the industrial town along the Gulf Coast now has a more dubious distinction: It's been named the saddest city in America—at least, if you're measuring sadness on Twitter.

That's according to a group of researchers at the Vermont Complex Systems Center, who analyzed over 80 million words from more than ten million geotagged tweets written throughout 2011. The results of their study, published Wednesday in the journal PLoS ONE, showed that the happiest tweeters in the U.S. live in Napa, California, and their sad counterparts live mostly in the Rust Belt and along the Gulf Coast border.

"You can infer a lot of information about an area based on what people are writing on Twitter," says Christopher Danforth, a mathematician and a co-author of the study.

Danforth explains how his team measured the emotional state of a tweet: They created a simple computer algorithm to analyze the words within the tweets themselves. Each word was measured on a happiness scale, which his team had previously created using paid workers from Amazon's Mechanical Turk service. The workers were asked to score more than 10,000 common English words on a happiness scale from 1 to 9. Words like "laughter," "love," "rainbow," and "smile" made the top of the list; at the very bottom—unsurprisingly—were words like "terrorist," "ugly," "cancer," "die," and "fatal."

A GEOGRAPHY OF HAPPINESS

Using that list, researchers then collected tweets from more than 300 separate cities and towns across the United States and created an algorithm to assess how frequently "happy" words occurred vs. how frequently "sad" words occurred in different places. For example, people in Napa were much more likely to tweet the word "hope" than were their counterparts living along the Gulf Coast.

"The differences in the words people used told us a lot about the cities themselves," says Lewis Mitchell, a mathematician and the study's lead author. "Essentially we were able to create a geography of happiness."

Many of the places at the very top of the list— Hawaii, Maine, and Napa—are also top vacation spots. A previous study by the same researchers indicated that people tend to use less-negative words when they're far away from home. But other places near the top of the list—like Green Bay, Wisconsin, and Spokane, Washington—aren't really tourist destinations.

The researchers say they plan to look at tourism's role in a future study. They also plan to analyze tweets in other languages. The current study looks only at tweets written in English, which could skew data in parts of the United States where many people tweet in Spanish.

In addition, the researchers plan to look at profanity more closely. Their current findings suggest that one of the major driving forces in a city's happiness—or lack thereof—is how frequently people use curse words in their tweets.

"People curse more and more as the day goes on," says Danforth, "but there are definitely places where profanity is more common. In the South, more people are cursing on Twitter. It's a tapestry of negative words."

TRENDING SADDER

He notes that many of the cities close to the bottom of their happiness list also rank low on other lists that measure factors like health outcomes and quality of life.

"The people at the bottom of our list live in states that are more socioeconomically depressed and where more natural disasters occur," he says."There are higher rates of poverty, and the median incomes are lower."

This might explain why places like Beaumont and Shreveport, Louisiana, have sadder tweets. But it doesn't explain one surprising finding: Tweets across the country are getting sadder, in general.

"If you go through all of the demographics since 2008, it's getting sadder everywhere," says Mitchell. "There's a strong downward trend. We don't know why this is."

He recently made a Twitter account— @geographyofhapp—that tracks the happiest and saddest cities on Twitter on a daily basis. But his own personal Twitter account—@dr_pyser— remains cheerfully optimistic.

"I try to be more conscious of what I'm talking about online and the way I talk about it," says Mitchell. "I try to put my best self out there."

http://news.nationalgeographic.com/news/2013/05/130529-saddest-happieststates-twitter-texas-maine-hawaii-california/y

INSTRUCTIONS – Read the following text carefully and then choose the correct alternatives that answer the questions.

THE SADDEST TWEETERS LIVE IN TEXAS

Melody Kramer for National Geographic - Published May 29, 2013

Researchers analyzed ten million tweets to map happiness in the U.S.

Average word happiness for geotagged tweets in U.S. states collected in 2011. Redder states have higher averages and bluer states have lower averages.

Image courtesy Mitchell et al, PLoS ONE

The town of Beaumont is known as "Texas … with a little something extra." But the industrial town along the Gulf Coast now has a more dubious distinction: It's been named the saddest city in America—at least, if you're measuring sadness on Twitter.

That's according to a group of researchers at the Vermont Complex Systems Center, who analyzed over 80 million words from more than ten million geotagged tweets written throughout 2011. The results of their study, published Wednesday in the journal PLoS ONE, showed that the happiest tweeters in the U.S. live in Napa, California, and their sad counterparts live mostly in the Rust Belt and along the Gulf Coast border.

"You can infer a lot of information about an area based on what people are writing on Twitter," says Christopher Danforth, a mathematician and a co-author of the study.

Danforth explains how his team measured the emotional state of a tweet: They created a simple computer algorithm to analyze the words within the tweets themselves. Each word was measured on a happiness scale, which his team had previously created using paid workers from Amazon's Mechanical Turk service. The workers were asked to score more than 10,000 common English words on a happiness scale from 1 to 9. Words like "laughter," "love," "rainbow," and "smile" made the top of the list; at the very bottom—unsurprisingly—were words like "terrorist," "ugly," "cancer," "die," and "fatal."

A GEOGRAPHY OF HAPPINESS

Using that list, researchers then collected tweets from more than 300 separate cities and towns across the United States and created an algorithm to assess how frequently "happy" words occurred vs. how frequently "sad" words occurred in different places. For example, people in Napa were much more likely to tweet the word "hope" than were their counterparts living along the Gulf Coast.

"The differences in the words people used told us a lot about the cities themselves," says Lewis Mitchell, a mathematician and the study's lead author. "Essentially we were able to create a geography of happiness."

Many of the places at the very top of the list— Hawaii, Maine, and Napa—are also top vacation spots. A previous study by the same researchers indicated that people tend to use less-negative words when they're far away from home. But other places near the top of the list—like Green Bay, Wisconsin, and Spokane, Washington—aren't really tourist destinations.

The researchers say they plan to look at tourism's role in a future study. They also plan to analyze tweets in other languages. The current study looks only at tweets written in English, which could skew data in parts of the United States where many people tweet in Spanish.

In addition, the researchers plan to look at profanity more closely. Their current findings suggest that one of the major driving forces in a city's happiness—or lack thereof—is how frequently people use curse words in their tweets.

"People curse more and more as the day goes on," says Danforth, "but there are definitely places where profanity is more common. In the South, more people are cursing on Twitter. It's a tapestry of negative words."

TRENDING SADDER

He notes that many of the cities close to the bottom of their happiness list also rank low on other lists that measure factors like health outcomes and quality of life.

"The people at the bottom of our list live in states that are more socioeconomically depressed and where more natural disasters occur," he says."There are higher rates of poverty, and the median incomes are lower."

This might explain why places like Beaumont and Shreveport, Louisiana, have sadder tweets. But it doesn't explain one surprising finding: Tweets across the country are getting sadder, in general.

"If you go through all of the demographics since 2008, it's getting sadder everywhere," says Mitchell. "There's a strong downward trend. We don't know why this is."

He recently made a Twitter account— @geographyofhapp—that tracks the happiest and saddest cities on Twitter on a daily basis. But his own personal Twitter account—@dr_pyser— remains cheerfully optimistic.

"I try to be more conscious of what I'm talking about online and the way I talk about it," says Mitchell. "I try to put my best self out there."

http://news.nationalgeographic.com/news/2013/05/130529-saddest-happieststates-twitter-texas-maine-hawaii-california/y

INSTRUCTIONS – Read the following text carefully and then choose the correct alternatives that answer the questions.

THE SADDEST TWEETERS LIVE IN TEXAS

Melody Kramer for National Geographic - Published May 29, 2013

Researchers analyzed ten million tweets to map happiness in the U.S.

Average word happiness for geotagged tweets in U.S. states collected in 2011. Redder states have higher averages and bluer states have lower averages.

Image courtesy Mitchell et al, PLoS ONE

The town of Beaumont is known as "Texas … with a little something extra." But the industrial town along the Gulf Coast now has a more dubious distinction: It's been named the saddest city in America—at least, if you're measuring sadness on Twitter.

That's according to a group of researchers at the Vermont Complex Systems Center, who analyzed over 80 million words from more than ten million geotagged tweets written throughout 2011. The results of their study, published Wednesday in the journal PLoS ONE, showed that the happiest tweeters in the U.S. live in Napa, California, and their sad counterparts live mostly in the Rust Belt and along the Gulf Coast border.

"You can infer a lot of information about an area based on what people are writing on Twitter," says Christopher Danforth, a mathematician and a co-author of the study.

Danforth explains how his team measured the emotional state of a tweet: They created a simple computer algorithm to analyze the words within the tweets themselves. Each word was measured on a happiness scale, which his team had previously created using paid workers from Amazon's Mechanical Turk service. The workers were asked to score more than 10,000 common English words on a happiness scale from 1 to 9. Words like "laughter," "love," "rainbow," and "smile" made the top of the list; at the very bottom—unsurprisingly—were words like "terrorist," "ugly," "cancer," "die," and "fatal."

A GEOGRAPHY OF HAPPINESS

Using that list, researchers then collected tweets from more than 300 separate cities and towns across the United States and created an algorithm to assess how frequently "happy" words occurred vs. how frequently "sad" words occurred in different places. For example, people in Napa were much more likely to tweet the word "hope" than were their counterparts living along the Gulf Coast.

"The differences in the words people used told us a lot about the cities themselves," says Lewis Mitchell, a mathematician and the study's lead author. "Essentially we were able to create a geography of happiness."

Many of the places at the very top of the list— Hawaii, Maine, and Napa—are also top vacation spots. A previous study by the same researchers indicated that people tend to use less-negative words when they're far away from home. But other places near the top of the list—like Green Bay, Wisconsin, and Spokane, Washington—aren't really tourist destinations.

The researchers say they plan to look at tourism's role in a future study. They also plan to analyze tweets in other languages. The current study looks only at tweets written in English, which could skew data in parts of the United States where many people tweet in Spanish.

In addition, the researchers plan to look at profanity more closely. Their current findings suggest that one of the major driving forces in a city's happiness—or lack thereof—is how frequently people use curse words in their tweets.

"People curse more and more as the day goes on," says Danforth, "but there are definitely places where profanity is more common. In the South, more people are cursing on Twitter. It's a tapestry of negative words."

TRENDING SADDER

He notes that many of the cities close to the bottom of their happiness list also rank low on other lists that measure factors like health outcomes and quality of life.

"The people at the bottom of our list live in states that are more socioeconomically depressed and where more natural disasters occur," he says."There are higher rates of poverty, and the median incomes are lower."

This might explain why places like Beaumont and Shreveport, Louisiana, have sadder tweets. But it doesn't explain one surprising finding: Tweets across the country are getting sadder, in general.

"If you go through all of the demographics since 2008, it's getting sadder everywhere," says Mitchell. "There's a strong downward trend. We don't know why this is."

He recently made a Twitter account— @geographyofhapp—that tracks the happiest and saddest cities on Twitter on a daily basis. But his own personal Twitter account—@dr_pyser— remains cheerfully optimistic.

"I try to be more conscious of what I'm talking about online and the way I talk about it," says Mitchell. "I try to put my best self out there."

http://news.nationalgeographic.com/news/2013/05/130529-saddest-happieststates-twitter-texas-maine-hawaii-california/y

TEXT 2

Innovation is the new key to survival

[…]

At its most basic, innovation presents an optimal strategy for controlling costs. Companies that have invested in such technologies as remote mining, autonomous equipment and driverless trucks and trains have reduced expenses by orders of magnitude, while simultaneously driving up productivity.

Yet, gazing towards the horizon, it is rapidly becoming clear that innovation can do much more than reduce capital intensity. Approached strategically, it also has the power to reduce people and energy intensity, while increasing mining intensity.

Capturing the learnings

The key is to think of innovation as much more than research and development (R&D) around particular processes or technologies. Companies can, in fact, innovate in multiple ways, such as leveraging supplier knowledge around specific operational challenges, redefining their participation in the energy value chain or finding new ways to engage and partner with major stakeholders and constituencies.

To reap these rewards, however, mining companies must overcome their traditionally conservative tendencies. In many cases, miners struggle to adopt technologies proven to work at other mining companies, let alone those from other industries. As a result, innovation becomes less of a technology problem and more of an adoption problem.

By breaking this mindset, mining companies can free themselves to adapt practical applications that already exist in other industries and apply them to fit their current needs. For instance, the tunnel boring machines used by civil engineers to excavate the Chunnel can vastly reduce miners’ reliance on explosives. Until recently, those machines were too large to apply in a mining setting. Some innovators, however, are now incorporating the underlying technology to build smaller machines—effectively adapting mature solutions from other industries to realize more rapid results.

Re-imagining the future

At the same time, innovation mandates companies to think in entirely new ways. Traditionally, for instance, miners have focused on extracting higher grades and achieving faster throughput by optimizing the pit, schedule, product mix and logistics. A truly innovative mindset, however, will see them adopt an entirely new design paradigm that leverages new information, mining and energy technologies to maximize value. […]

Approached in this way, innovation can drive more than cost reduction. It can help mining companies mitigate and manage risks, strengthen business models and foster more effective community and government relations. It can help mining services companies enhance their value to the industry by developing new products and services. Longer-term, it can even position organizations to move the needle on such endemic issues as corporate social responsibility, environmental performance and sustainability.

(http://www2.deloitte.com/content/dam/Deloitte/ru/Documents/energy-resources/ru_er_tracking_the_trends_2015_eng.pdf)

TEXT 2

Innovation is the new key to survival

[…]

At its most basic, innovation presents an optimal strategy for controlling costs. Companies that have invested in such technologies as remote mining, autonomous equipment and driverless trucks and trains have reduced expenses by orders of magnitude, while simultaneously driving up productivity.

Yet, gazing towards the horizon, it is rapidly becoming clear that innovation can do much more than reduce capital intensity. Approached strategically, it also has the power to reduce people and energy intensity, while increasing mining intensity.

Capturing the learnings

The key is to think of innovation as much more than research and development (R&D) around particular processes or technologies. Companies can, in fact, innovate in multiple ways, such as leveraging supplier knowledge around specific operational challenges, redefining their participation in the energy value chain or finding new ways to engage and partner with major stakeholders and constituencies.

To reap these rewards, however, mining companies must overcome their traditionally conservative tendencies. In many cases, miners struggle to adopt technologies proven to work at other mining companies, let alone those from other industries. As a result, innovation becomes less of a technology problem and more of an adoption problem.

By breaking this mindset, mining companies can free themselves to adapt practical applications that already exist in other industries and apply them to fit their current needs. For instance, the tunnel boring machines used by civil engineers to excavate the Chunnel can vastly reduce miners’ reliance on explosives. Until recently, those machines were too large to apply in a mining setting. Some innovators, however, are now incorporating the underlying technology to build smaller machines—effectively adapting mature solutions from other industries to realize more rapid results.

Re-imagining the future

At the same time, innovation mandates companies to think in entirely new ways. Traditionally, for instance, miners have focused on extracting higher grades and achieving faster throughput by optimizing the pit, schedule, product mix and logistics. A truly innovative mindset, however, will see them adopt an entirely new design paradigm that leverages new information, mining and energy technologies to maximize value. […]

Approached in this way, innovation can drive more than cost reduction. It can help mining companies mitigate and manage risks, strengthen business models and foster more effective community and government relations. It can help mining services companies enhance their value to the industry by developing new products and services. Longer-term, it can even position organizations to move the needle on such endemic issues as corporate social responsibility, environmental performance and sustainability.

(http://www2.deloitte.com/content/dam/Deloitte/ru/Documents/energy-resources/ru_er_tracking_the_trends_2015_eng.pdf)

TEXT 1

http://www.freeimages.com/photo/ouro-preto-1170501

Mining tourism in Ouro Preto

Ouro Preto is surrounded by a rich and varied natural environment with waterfalls, hiking trails and native vegetation partially protected as state parks. Parts of these resources are used for tourism. Paradoxically, this ecosystem contrasts with the human occupation of the region that produced, after centuries, a rich history and a cultural connection to mining, its oldest economic activity which triggered occupation. The region has an unlimited potential for tourism, especially in specific segments such as mining heritage tourism, in association or not with the existing ecotourism market. In fact, in Ouro Preto, tourism, history, geology and mining are often hard to distinguish; such is the inter-relationship between these segments.

For centuries, a major problem of mining has been the reuse of the affected areas. Modern mining projects proposed solutions to this problem right from the initial stages of operation, which did not happen until recently. As a result, most quarries and other old mining areas that do not have an appropriate destination represent serious environmental problems. Mining tourism utilizing exhausted mines is a source of employment and income. Tourism activities may even contribute to the recovery of degraded areas in various ways, such as reforestation for leisure purposes, or their transformation into history museums where aspects of local mining are interpreted.

Minas Gerais, and particularly Ouro Preto, provides the strong and rich cultural and historical content needed for the transformation of mining remnants into attractive tourism products, especially when combined with the existing cultural tourism of the region. Although mining tourism is explored in various parts of the world in extremely different social, economic, cultural and natural contexts, in Brazil it is still not a strategy readily adopted as an alternative for areas affected by mining activities.

(Lohmann, G. M.; Flecha, A. C.; Knupp, M. E. C. G.; Liccardo, A. (2011). Mining tourism in Ouro Preto, Brazil: opportunities and challenges. In: M. V. Conlin; L. Jolliffe (eds). Mining heritage and tourism: a global synthesis. New York: Routledge, pp. 194-202.)