The Pepper International Fellows Program honors the legacy of Claude Pepper who swiftly and actively addressed the most challenging societal issues facing older adults throughout his career. In partnership with the Consortium on Analytics for Data-Driven Decision Making (CAnD3) program based at McGill University in Montreal, this innovative program trains PhD students in the social sciences to effectively address policy and other real world issues related to aging populations. The risks and challenges related to the global COVID-19 pandemic are among the program’s core priorities in training the inaugural 2020 cohort of students to translate rapid and sophisticated population and health analytics into national and international problem solving. Note that students do not need to currently have a focus in aging or health research or policy.
CAnD3’s website can be found here: https://www.mcgill.ca/cand3/
The training incorporates state-of-the-art data science, knowledge mobilization, and experiential learning to ready graduates for competitive careers in public, private, non-profit, and academic sectors. The program spans 12 months for each student, incorporating online seminars and workshops led by dozens of faculty and community partners from around the world. Trainees are selected from international partnering institutions beyond FSU including McGill, Oxford University, Columbia University, and the Max Planck Institute, allowing exceptional students to work as a collaborative, interdisciplinary, and global team. Pepper Fellows are chosen through a two-phase competitive process in a college level and international partner review. Fellows complete an individual training project with a community partner mentor and/or faculty mentor over the course of the year in order to showcase and apply their training to the most urgent challenges and issues in their home countries and communities. Fellows are awarded $5,000 Canadian (currently $4000 USD) to support local internship or applied project costs.
1. One-page statement of interest with explicit reference to the main pillars of CAnD3 training (e.g. population dynamics in an aging society; population data science; research-to-decision-making pipeline) relative to their educational, research and/or career interests. Includes confirmation that all coursework is complete and date of completion of area-exam/comprehensive exam
2. Short Résumé/CV to list relevant previous experiences (work, research and volunteer experience; coursework; languages (spoken, written)
3. Complete gold section of table (implemented as Qualtrics survey)
4. Applicant’s ranking of internships (from list of CAnD3 internship spots)
5. Transcripts (undergrad and grad)
6. Letter or email from doctoral or postdoctoral supervisor confirming approval of the trainee’s participation
7. Names and contact information of reference(s), contacted only if needed
Typical core trainee: post area-exam/comprehensive exam PhD student in population research; Master’s students and postdoctoral fellows considered on case-by-case basis
Typical trainee cohort:
- Multidisciplinary, pan-Canadian & international;
- Ideally at program entry, the cohort will be comprised of a good mix of minimum and optimal skills and knowledge to facilitate peer-2-peer learning and support;
- Trainee selection will be made with full consideration of equity issues (EDI, individual & institutional etc.)
Annual Recruitment and Selection Timeline:
- Jan/Feb: Partner internship survey;
- March/May: Recruitment, selection & partner matching;
- Jun-Aug: students Complete upskilling requirements or recommendations.
For more information, EMAIL DR. MILES TAYLOR