Ernesto Dal Bó, Professor

Closed (1) Website Design for the Atlas of Archaeological Sites

Closed. This professor is continuing with Spring 2017 apprentices on this project; no new apprentices needed for Fall 2017.

In this project, economists and archaeologists are working together to build an atlas of past civilizations. We are compiling information from thousands of archaeological sites into a single database, which allows us to study why some societies flourished while others did not.

To make the database accessible to the research community and to the public, we are creating an online platform with the help of an undergraduate research assistant. Tasks include elements of website design, online database maintenance, logo design, and mapping geographic data. It is a great opportunity for a student to work on an interdisciplinary project with faculty and showcase a wide variety of web design skills. Students learn how to integrate various components into a professional product at the intersection of academia and science communication.

Day-to-day supervisor for this project: David Schönholzer, Ph.D. candidate

Qualifications: Required: at least one of the following - web design skills, writing and communication skills, knowledge of geo-coding software (e.g., arcGIS)

Weekly Hours: to be negotiated

Off-Campus Research Site: Haas School of Business

Related website: http://faculty.haas.berkeley.edu/dalbo/

Open (2) Data Development and Machine Learning for Atlas of Archaeological Sites

Open. Apprentices needed for the fall semester. Please do NOT contact faculty before September 11th (the start of the 4th week of classes)! Enter your application on the web beginning August 16th. The deadline to apply is Tuesday, August 29th at 8 AM.

In this project, economists and archaeologists are working together to build an atlas of past civilizations. We are compiling information from thousands of archaeological sites into a single database, which allows us to study why some societies flourished while others did not. The approach is to apply machine learning tools of natural language recognition to machine-read thousands of archaeological journal articles and obtain the information that is needed.

Day-to-day supervisor for this project: David Schönholzer, Ph.D. candidate

Qualifications: This is a data development position. Our diverse team of undergraduate research assistants includes students from various social science disciplines working under the guidance of economics graduate students and faculty. The main task consists of investigating sources on archaeological sites using methods ranging from qualitative text analysis all the way to natural language processing using machine learning techniques. Students learn about the archaeology and history of societies from across the globe, a wide set of social scientific skills under close supervision of graduate students, and working in a diverse team of young researchers.

Weekly Hours: to be negotiated

Related website: http://faculty.haas.berkeley.edu/dalbo/