Regulation, Evaluation, and Governance Lab: Practicum (7102): The Regulation, Evaluation, and Governance Lab (RegLab) partners with government agencies to envision how data science can improve administrative governance. Students enrolled in this practicum will be working on projects related to the core mission of the RegLab, using the tools of data science to improve law and governance. The course is open to law and non-law students, with consent of the instructor. Law students may take the course for 1 to 4 units and non-law students may take the course for 1 to 5 units. Students may elect the Honors/Pass/R/F or Mandatory Pass/R/F grading basis. Course units and grade basis must be approved by the instructor and selected when students enroll in the course in Axess. Students have the option to enroll for EL credit and PW credit (Section 01) or no EL credit (Section 02) with instructor permission. Elements used in grading: Attendance, Performance, Class Participation, Written Assignments, Final Paper. Consent Application: Interested students may apply to enroll in the course by sending a statement of interest to Daniel Ho at dho@law.stanford.edu. Applications will be considered on a rolling basis.

Regulation, Evaluation, and Governance Lab: Practicum (7102): The Regulation, Evaluation, and Governance Lab (RegLab) partners with government agencies to envision how data science can improve administrative governance. Students enrolled in this practicum will be working on projects related to the core mission of the RegLab, using the tools of data science to improve law and governance. The course is open to law and non-law students, with consent of the instructor. Law students may take the course for 1 to 4 units and non-law students may take the course for 1 to 5 units. Students may elect the Honors/Pass/R/F or Mandatory Pass/R/F grading basis. Course units and grade basis must be approved by the instructor and selected when students enroll in the course in Axess. Students have the option to enroll for EL credit (Section 01) or no EL credit (Section 02) with instructor permission. Elements used in grading: Attendance, Performance, Class Participation, Written Assignments, Final Paper. Consent Application: Interested students may apply to enroll in the course by sending a statement of interest to Daniel Ho at dho@law.stanford.edu. Applications will be considered on a rolling basis.

Regulation, Evaluation, and Governance Lab: Practicum (7102): The Regulation, Evaluation, and Governance Lab (RegLab) partners with government agencies to envision how data science can improve administrative governance. Students enrolled in this practicum will be working on projects related to the core mission of the RegLab, using the tools of data science to improve law and governance. The course is open to law and non-law students, with consent of the instructor. Law students may take the course for 1 to 4 units and non-law students may take the course for 1 to 5 units. Students may elect the Honors/Pass/R/F or Mandatory Pass/R/F grading basis. Course units and grade basis must be approved by the instructor and selected when students enroll in the course in Axess. Students have the option to enroll for EL credit (Section 01) or no EL credit (Section 02) with instructor permission. Elements used in grading: Attendance, Performance, Class Participation, Written Assignments, Final Paper. Consent Application: Interested students may apply to enroll in the course by sending a statement of interest to Daniel Ho at dho@law.stanford.edu. Applications will be considered on a rolling basis.

Regulation, Evaluation, and Governance Lab: Practicum (7102): The Regulation, Evaluation, and Governance Lab (RegLab) partners with government agencies to envision how data science can improve administrative governance. Students enrolled in this practicum will be working on projects related to the core mission of the RegLab, using the tools of data science to improve law and governance. The course is open to law and non-law students, with consent of the instructor. Law students may take the course for 1 to 4 units and non-law students may take the course for 1 to 5 units. Students may elect the Honors/Pass/R/F or Mandatory Pass/R/F grading basis. Course units and grade basis must be approved by the instructor and selected when students enroll in the course in Axess. Students have the option to enroll for EL credit (Section 01) or no EL credit (Section 02) with instructor permission. Elements used in grading: Attendance, Performance, Class Participation, Written Assignments, Final Paper. Consent Application: Interested students may apply to enroll in the course by sending a statement of interest to Daniel Ho at dho@law.stanford.edu. Applications will be considered on a rolling basis.

Regulation, Evaluation, and Governance Lab: Practicum (7102): The Regulation, Evaluation, and Governance Lab (RegLab) partners with government agencies to envision how data science can improve administrative governance. Students enrolled in this practicum will be working on projects related to the core mission of the RegLab, using the tools of data science to improve law and governance. The course is open to law and non-law students, with consent of the instructor. Law students may take the course for 1 to 4 units and non-law students may take the course for 1 to 5 units. Students may elect the Honors/Pass/R/F or Mandatory Pass/R/F grading basis. Course units and grade basis must be approved by the instructor and selected when students enroll in the course in Axess. Students have the option to enroll for EL credit (Section 01) or no EL credit (Section 02) with instructor permission. Elements used in grading: Attendance, Performance, Class Participation, Written Assignments, Final Paper. Consent Application: Interested students may apply to enroll in the course by sending a statement of interest to Daniel Ho at dho@law.stanford.edu. Applications will be considered on a rolling basis.

Regulation, Evaluation, and Governance Lab: Practicum (7102): The Regulation, Evaluation, and Governance Lab (RegLab) partners with government agencies to envision how data science can improve administrative governance. Students enrolled in this practicum will be working on projects related to the core mission of the RegLab, using the tools of data science to improve law and governance. The course is open to law and non-law students, with consent of the instructor. Law students may take the course for 1 to 4 units and non-law students may take the course for 1 to 5 units. Students may elect the Honors/Pass/R/F or Mandatory Pass/R/F grading basis. Course units and grade basis must be approved by the instructor and selected when students enroll in the course in Axess. Students have the option to enroll for EL credit (Section 01) or no EL credit (Section 02) with instructor permission. Elements used in grading: Attendance, Performance, Class Participation, Written Assignments, Final Paper. Consent Application: Interested students may apply to enroll in the course by sending a statement of interest to Daniel Ho at dho@law.stanford.edu. Applications will be considered on a rolling basis.