Language Endangerment and Renewal Out of the world’s roughly 7000 languages, 3000 are under-resourced and under-recognized, and threatened with discrimination and limited use in their communities of origin. Most threatened languages are indigenous, their speakers having responded to colonial dispossession by shifting to politically and economically dominant languages. While all languages change, the global shift away from indigenous languages represents an unprecedented loss of global linguistic heritage and diversity. Some communities have responded with programs designed to reclaim and renew heritage languages for future generations. We will apply linguistic, anthropological, decolonizing, and data science methods to the project of indigenous language reclamation.

Invention of Nature: Global and Local In this class we take a deep dive into the nineteenth century archive where students will discover how Middlebury’s first professor, Frederick T. Hall, institutionalized the scientific study of nature here at a time when most colleges emphasized seminary studies. We will compare the careers of two of his students: Henry Rowe Schoolcraft and Edwin James, both of whom became explorers of the western territories and experts in Native American languages. We will look at their expeditionary writings and examine how these were taken up and used by a diverse audience that included scientists, industrialists, legislators, poets, clergy, and adventure-seekers. We will explore how these writings and their subsequent use help to invent a natural history for the new nation. We will also examine the ambivalent implication of James and Schoolcraft’s writings for the status of the Native Americans with whom they worked.

Data Science Across Disciplines In this course, we will gain exposure to the entire data science pipeline—obtaining and cleaning large and messy data sets, exploring these data and creating engaging visualizations, and communicating insights from the data in a meaningful manner. During morning sessions, we will learn the tools and techniques required to explore new and exciting data sets. During afternoon sessions, students will work in small groups with one of several faculty members on domain-specific research projects in Anthropology, Biology, Classics, Political Science, and Statistics. This course will use the R programming language. No prior experience with programming is necessary. (Not open to students who have taken STAT 0118, STAT 0201, ANTH 1230, BIOL 1230, CLAS 1230, ECON 1230, ECSC 1230, ENVS 1230, FMMC 1230, GEOG 1230, HARC 1230, HIST 1230, JAPN 1230, LNGT 1230, MATH 1230, NSCI 1230, PSCI 1230, SOCI 1230, STAT 1230, or WRPR 1230.)  ANTH/LNGT: In this section we will explore indigenous political voice in unexpected places. The data we will analyze will consist of bilingual Apache-English and Maidu-English stories, songs and speeches originally recorded by anthropological linguists in the early twentieth century as examples of traditional culture. Students will use R to search this corpora for how indigenous contributors were also making claims on the future in their address to the researcher and to wider anticipated audiences. This course includes a community engagement component.  BIOL/ECSC 1230: In this section we will work with data collected by elephant seals equipped with oceanographic instruments in the Southern Ocean. Depending on your interests, you can approach the project from different angles: students focusing on biology will explore where the seals travel and what drives their movements, while those interested in earth science will investigate the temperature and salinity profiles gathered during their dives. Working in teams, you’ll combine these perspectives to build a fuller picture of both seal ecology and the oceanographic processes that shape their environment. Along the way, you’ll practice manipulating and visualizing different types of data including maps of seal tracks, temperature and salinity profiles, and cross-sections of ocean properties. We will also bring in satellite  and autonomous float data to place seal activity and the data they collect in a broader context. By the end, you’ll have a sense of how these different data sources fit together and what unique insights we gain from using seals as oceanographers.  CLAS 1230: In this section students will gain hands-on experience with a variety of natural language processing and text mining techniques by exploring the writings of the ancient historian Plutarch, who lived during the first and second centuries AD.  We will focus on the biographies of "great men" in Plutarch’s Lives, which chronicles the history, morals, and virtues of major figures who played parallel roles in ancient Greek and Roman society. The public domain English translation from Project Gutenberg will serve as our main corpus; however, students with a background or interest in Ancient Greek can work with the text in the original language. Using the R programming language, students will transform unstructured text into quantitative data for statistical analysis and morphosyntactic parsing. We will also apply machine learning models to our data to reveal underlying patterns in large amounts of text. No prior experience with R is necessary.  PSCI 1230: Who votes in elections? Who attends protests? Why? In this section we will use the tools of data science to explore these and other questions about political participation in the Americas. We will examine engagement in different forms of participation and the demographic, economic, social, and other factors that shape participation. The class will introduce students to the basics of survey research and the study of political participation.  Students will complete a final group project showcasing the concepts and tools learned in class.   STAT 1230: In this section students will dive into the world of data science by focusing on invasive species monitoring data. Early detection is crucial to controlling many invasive species; however, there is a knowledge gap regarding the sampling effort needed to detect the invader early. In this course, we will work with decades of invasive species monitoring data collected across the United States to better understand how environmental variables play a role in the sampling effort required to detect invasive species. Students will gain experience in the entire data science pipeline, but the primary focus will be on data scraping, data visualization, and communication of data-based results to scientists and policymakers.

Data Science Across Disciplines In this course, we will gain exposure to the entire data science pipeline—obtaining and cleaning large and messy data sets, exploring these data and creating engaging visualizations, and communicating insights from the data in a meaningful manner. During morning sessions, we will learn the tools and techniques required to explore new and exciting data sets. During afternoon sessions, students will work in small groups with one of several faculty members on domain-specific research projects in Anthropology, Biology, Classics, Political Science, and Statistics. This course will use the R programming language. No prior experience with programming is necessary. (Not open to students who have taken STAT 0118, STAT 0201, ANTH 1230, BIOL 1230, CLAS 1230, ECON 1230, ECSC 1230, ENVS 1230, FMMC 1230, GEOG 1230, HARC 1230, HIST 1230, JAPN 1230, LNGT 1230, MATH 1230, NSCI 1230, PSCI 1230, SOCI 1230, STAT 1230, or WRPR 1230.)  ANTH/LNGT 1230: In this section we will explore indigenous political voice in unexpected places. The data we will analyze will consist of bilingual Apache-English and Maidu-English stories, songs and speeches originally recorded by anthropological linguists in the early twentieth century as examples of traditional culture. Students will use R to search this corpora for how indigenous contributors were also making claims on the future in their address to the researcher and to wider anticipated audiences. This course includes a community engagement component.  BIOL/ECSC 1230: In this section we will work with data collected by elephant seals equipped with oceanographic instruments in the Southern Ocean. Depending on your interests, you can approach the project from different angles: students focusing on biology will explore where the seals travel and what drives their movements, while those interested in earth science will investigate the temperature and salinity profiles gathered during their dives. Working in teams, you’ll combine these perspectives to build a fuller picture of both seal ecology and the oceanographic processes that shape their environment. Along the way, you’ll practice manipulating and visualizing different types of data including maps of seal tracks, temperature and salinity profiles, and cross-sections of ocean properties. We will also bring in satellite  and autonomous float data to place seal activity and the data they collect in a broader context. By the end, you’ll have a sense of how these different data sources fit together and what unique insights we gain from using seals as oceanographers.  CLAS 1230: In this section students will gain hands-on experience with a variety of natural language processing and text mining techniques by exploring the writings of the ancient historian Plutarch, who lived during the first and second centuries AD.  We will focus on the biographies of "great men" in Plutarch’s Lives, which chronicles the history, morals, and virtues of major figures who played parallel roles in ancient Greek and Roman society. The public domain English translation from Project Gutenberg will serve as our main corpus; however, students with a background or interest in Ancient Greek can work with the text in the original language. Using the R programming language, students will transform unstructured text into quantitative data for statistical analysis and morphosyntactic parsing. We will also apply machine learning models to our data to reveal underlying patterns in large amounts of text. No prior experience with R is necessary.  PSCI 1230: Who votes in elections? Who attends protests? Why? In this section we will use the tools of data science to explore these and other questions about political participation in the Americas. We will examine engagement in different forms of participation and the demographic, economic, social, and other factors that shape participation. The class will introduce students to the basics of survey research and the study of political participation.  Students will complete a final group project showcasing the concepts and tools learned in class.   STAT 1230: In this section students will dive into the world of data science by focusing on invasive species monitoring data. Early detection is crucial to controlling many invasive species; however, there is a knowledge gap regarding the sampling effort needed to detect the invader early. In this course, we will work with decades of invasive species monitoring data collected across the United States to better understand how environmental variables play a role in the sampling effort required to detect invasive species. Students will gain experience in the entire data science pipeline, but the primary focus will be on data scraping, data visualization, and communication of data-based results to scientists and policymakers.

Language, Culture and Society In this course students will be introduced to the comparative, ethnographic study of language in relation to socio-cultural context. Our readings will be drawn from diverse global settings and will focus upon language as the means by which people shape and are shaped by the social worlds in which they live. We will examine contrasts in ways of speaking across different communities, personal identities, and institutions. We will explore the consequences of communicative difference across a range of contact situations, including everyday conversation among peers, service encounters, political elections, and global connections or disconnections made possible through new media.

Linguistic Anthropology Methods In this course we will work with a method and theory known as the “ethnography of communication” to examine language use in socio-cultural context. Students will learn to form research questions and collect different kinds of data, including everyday spoken interactions, archival print sources, and social media. Students will learn how to document, annotate, and analyze their samples as speech events linked to broader discursive contexts and social relations. Students will also turn ethnography of communication upon social science research itself, examining interviews and surveys as communicative interactions. The course provides an empirical pathway to questions of cultural difference and social inequality.

Language Structure and Function In this course we will discuss the major issues and findings in the study of human language within theories of modern linguistics, which shares a history with mid-century American anthropology. The main topics include the nature of human language in comparison with other communication systems; sound patterns (phonology); word-formation (morphology); sentence structure (syntax); meaning (semantics); use (pragmatics); language acquisition and socialization. We will also consider language variation and the historical development of languages.  Instruction is in English but examples will be drawn from less commonly studied languages around the world.

Indigeneity and Colonialism in Native North America In this course we will approach Native North America and the American political mainstream as dynamically intertwined. Through ethnography, ethno-history, oral literature, and indigenous film we will examine the history of colonial encounters between the Indigenous and the 'Western'. We will examine how indigenous cultural difference and moral claims to land have challenged dominant political cultures across the history of the North American settler states. Our analysis will extend to ongoing questions concerning cultural knowledge, sustainability, and imagined futures.

Environmental Communication Do languages simply put different labels on the environment, from rocks to trees to carbon, or are what we see and what we value shaped by the ways that we talk about it? Drawing upon ethnography, linguistics, and critical discourse analysis, we will explore how environmental perceptions and modes of action are formed in and through language. We will bring an appreciation of language differences to the analysis of ongoing environmental controversies, where the various stakeholders draw contrasting boundaries between nature and culture and define human involvement with nature in different ways.

Language and the Environment Do languages simply put different labels on the environment, from rocks to trees to carbon, or are what we see and what we value shaped by the ways that we talk about it? Drawing upon ethnography, linguistics, and critical discourse analysis, we will explore how environmental perceptions and modes of action are formed in and through language. We will bring an appreciation of language differences to the analysis of ongoing environmental controversies, where the various stakeholders draw contrasting boundaries between nature and culture and define human involvement with nature in different ways.

Marybeth Nevins

Reviews and ratings for Marybeth Nevins at Middlebury College.Marybeth Nevins teaches Renewing Endangered Languages, Invention of Nature, DataScience Across Disciplines and more.  Explore top rated instructors and find the best for you.Is Marybeth Nevins good ? Find out on MiddCourses.

This course was very helpful, and Professor Nevins was very understanding and passionate about the subject.  The assignments were engaging because they were personal, and I had the freedom to write in any way I wanted.  She was also fair withthe grading.

Professor Nevins is very passionate about the material and is eager to teach. She often goes off on tangents which makes it hard to follow the lectures, but the course work is just readings and 4 three-page essays, so it's not hard to catch up when you don't understand something. She is also very understanding and not a harsh grader.

Professor Nevins is extremely knowledgable and I really enjoyed the course material. The books we read were really interesting and I had a good time writing the essays as they were quite interesting and personal topics. However, I have to admit that Professor Nevins teaching style was not incredibly effective in lectures. I learnt more in office hours and reading the books on my own than in the lectures.