ESPIn2023

ESPIn 2023

CSDMS is excited to announce that ESPIn 2023 will be held May 8-15 at the Sustainability, Energy and Environment Community (SEEC) facility on the CU Boulder East Campus.

Participant costs (transportation to and from Boulder from within the U.S., enrollment, accommodation based on shared rooms, breakfast and lunch on teaching days) are supported for 25 participants by CSDMS. Applicants are responsible for travel to the U.S., dinners, and all other incidental expenses.

All applicants selected for ESPIn 2023 are also expected to attend the 2023 CSDMS Annual Meeting, held the following week, May 16-18, also at SEEC. CSDMS will cover costs of lodging, lunch, and the enrollment fee.

Important Dates

• December 1: Application window opens
• January 27: Application window closes
• February 15: Notifications
• May 8-15: ESPIn 2023
• May 16-18: 2023 CSDMS Annual Meeting

Agenda

The preliminary agenda for ESPIn 2023 can be found here.

This agenda may change slightly as we secure guest science lecturers and career panelists, but the ordering and duration of the lesson topics and team project development blocks are likely set.

Apply

To apply for ESPIn 2023, please fill out this Google Form (opens Dec 1, closes Jan 27).

For your application, please prepare one PDF document containing the following sections:

1. Motivation statement (250 words max). Why are you interested in earth surface process modeling? What research questions are you working on? Does your research involve modeling? What experience do you have in numerical modeling and data analysis? What programming languages and development tools do you use? What do you want to learn?
2. Diversity statement (150 words max). Explain any past or present activities that have contributed to increasing diversity, and describe how you envision your future work to contribute to increasing diversity.
3. Resume (half a page max). Be sure to list your proficiency with programming and model development.

Applications will be evaluated on a 10-point scale based on:

1. scientific motivation, relevance of research interests/goals, disciplinary background, and career stage (3 pts);
2. programming experience and motivation to ramp up skills (3 pts);
3. diversity statement (3 pts).