# Benjamin Birnbaum

> Ph.D. University of Washington 2012

**Wikidata**: [Q102403568](https://www.wikidata.org/wiki/Q102403568)  
**Source**: https://4ort.xyz/entity/benjamin-birnbaum

## Summary
Benjamin Birnbaum is an American computer scientist who earned his Ph.D. from the University of Washington in 2012. He is known for his work in algorithmic approaches to detecting interviewer fabrication in surveys, supervised by Gaetano Borriello and Anna Karlin.

## Biography
- Born: [Date and place not specified]
- Nationality: United States
- Education: Ph.D. in computer science and computer engineering, University of Washington (2012)
- Known for: Developing algorithmic methods to detect interviewer fabrication in surveys
- Employer(s): [Not specified]
- Field(s): Computer science, specifically algorithmic detection in surveys

## Contributions
Benjamin Birnbaum's primary contribution is his doctoral thesis, *Algorithmic Approaches to Detecting Interviewer Fabrication in Surveys*, completed in 2012. His work focused on developing computational methods to identify and mitigate fabrication in survey interviews, a critical issue in data collection. While specific publications or further academic work are not detailed in the source material, his thesis represents a foundational study in ensuring the integrity of survey data through algorithmic detection.

## FAQs
### Q: What is Benjamin Birnbaum known for?
A: Benjamin Birnbaum is known for his doctoral thesis on algorithmic approaches to detecting interviewer fabrication in surveys, completed in 2012.

### Q: Who were Benjamin Birnbaum's doctoral advisors?
A: Benjamin Birnbaum's doctoral advisors were Gaetano Borriello and Anna Karlin.

### Q: What field did Benjamin Birnbaum study?
A: Benjamin Birnbaum studied computer science, specifically focusing on algorithmic detection in surveys.

### Q: Where did Benjamin Birnbaum earn his Ph.D.?
A: Benjamin Birnbaum earned his Ph.D. from the University of Washington in 2012.

### Q: What was the focus of Benjamin Birnbaum's thesis?
A: His thesis focused on developing methods to detect and mitigate interviewer fabrication in surveys.

## Why They Matter
Benjamin Birnbaum's work on detecting interviewer fabrication in surveys is significant because it addresses a critical challenge in data collection—ensuring the accuracy and reliability of survey responses. His thesis provides a computational framework to identify and address fabrication, which is essential for maintaining the integrity of research data. While his contributions may not be widely recognized due to limited public documentation, his work represents an important step in improving survey methodology. His research could influence future studies in data integrity, particularly in fields reliant on survey data, such as social sciences and public health.

## Notable For
- Developed algorithmic methods to detect interviewer fabrication in surveys
- Completed a Ph.D. in computer science at the University of Washington in 2012
- Supervised by Gaetano Borriello and Anna Karlin
- Focused on ensuring data integrity in survey research

## Body
### Education and Training
Benjamin Birnbaum earned his Ph.D. in computer science and computer engineering from the University of Washington in 2012. His doctoral work was supervised by Gaetano Borriello and Anna Karlin, both prominent figures in the field of computer science.

### Thesis Work
His thesis, *Algorithmic Approaches to Detecting Interviewer Fabrication in Surveys*, explored computational methods to identify and address fabrication in survey interviews. The work aimed to improve the reliability of survey data by detecting and mitigating interviewer misconduct.

### Academic Influence
While specific publications or further academic contributions are not detailed in the source material, Benjamin Birnbaum's thesis represents a foundational study in ensuring the integrity of survey data. His work could influence future research in data collection methodologies, particularly in fields where survey data is critical.

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## References

1. Mathematics Genealogy Project
2. WorldCat