We are currently recruiting Stanford students to participate in the upcoming year’s Design Challenge, including the companion two-quarter Digital Learning Design Workshop course, EDUC 254A (Fall Quarter) and EDUC 254B (Winter Quarter). This workshop course will focus on human-centered design, learning science, game design, team building, prototyping, user testing, and for-profit and non-profit sustainability. For more information on the Design Challenge or the workshop course, you can visit the Digital Learning Design Challenge website or email us at learningdesignchallenge@stanford.edu. 

Fellowship placements are expected to begin in early or mid-2022 and to last 6 or 12 months (depending on the fellowship category), with potential renewal for a second term. Fellowship opportunities are available for both entry-level and mid-career applicants, and for people both with and without prior policy experience.

January 18
2022 Science Policy Fellowship, Institute for Defense Analyses

Fellows will work with teams of researchers to support a wide variety of S&T policy-related tasks. Duties may include conducting survey-based and interview-based research, database development, use of data visualization tools, use of statistical techniques, and other qualitative and quantitative methods to perform project-driven policy analysis. Fellows will have an opportunity to work on one independent research project that will contribute to the scientific, technical, or policy literature. Over the course of the two-year program, experiences will include:

• Participation in analyses that support tasking from Federal Government policymakers
• Interaction with OSTP and other Federal science agency personnel
• Involvement in workshops and discussions on relevant topics
• Mentorship from members of the STPI research staff
• Training on specific analytical methods and tools
• Attendance and presentation at select professional society meetings

January 18
2022 Data Science Fellowship, Institute for Defense Analyses

The IDA Data Science Fellowship provides recent graduates a unique opportunity to develop and apply data science skills to important issues in national security.  Data Science Fellows will investigate the ways machine learning, artificial intelligence, statistics, and big data methodologies contribute to national security and gain experience developing advanced data science tools They will use their critical thinking and analytic skills to work on challenging real-world national security issues.  In a collaborative team environment, Fellows perform data manipulation and statistical, econometric, predictive, descriptive, and other quantitative analyses to answer national security-related research questions. Fellows should expect to learn while creatively contributing to interdisciplinary project teams.

Fellows will have an opportunity to work research questions in areas such as:

• Appraisal of current DoD investments in a broad range of areas: from human factors to autonomous systems, from materials science to nuclear weapons effects, from social behaviors to quantum computing;
• Analyze and research questions on DoD personnel, military readiness and efficacy, and organizational efficiency topics.
• Assessment of federal agency information and computing architectures that support data science applications (i.e., large, distributed data sets and computational assets);
• Application of data exploration, text analytics, forecasting, statistical inference, simulation to areas of military personnel, manpower, and acquisition of DOD weapon systems.

Over the course of the three-year program, fellowship experiences will include:

• Involvement in workshops and discussions on relevant topics
• Mentorship from members of the IDA research staff
• Training on specific analytical methods and tools
• Attendance and presentation at select professional society meetings