|
1 | 1 | --- |
2 | 2 | layout: applicant |
3 | 3 | title: Information for Applicants |
4 | | -description: In OceanHackWeek we will explore the intersection of data science |
5 | | - and oceanography through tutorials and hands-on “hacking” projects. |
6 | | - To best benefit from the program, participants are expected to have some experience with Python programming and data analysis. |
| 4 | +description: <b>Due to COVID-19, there will be no in-person event in 2020. |
| 5 | + A virtual event around August is being discussed. |
| 6 | + Applications will open soon. |
| 7 | + Please check back in early May.</b><br><br> |
| 8 | + |
| 9 | + In OceanHackWeek we will explore the intersection of data science |
| 10 | + and oceanography through tutorials and hands-on “hacking” projects. |
| 11 | + To best benefit from the program, participants are expected to have some experience with Python programming and data analysis. |
7 | 12 | permalink: applicant-info.html |
8 | 13 | image: ohw18-hacking2.JPG |
9 | 14 |
|
10 | 15 | --- |
11 | 16 |
|
12 | | -In Oceanhackweek we will explore the intersection of data science and oceanography through tutorials and hands-on “hacking” projects. In tutorials, we will learn data science tools, cloud computing, visualization, and a suite of software assets to interact with data sets of complex temporal-spatial structures or high volume. In project sessions, we will immediately put these skills to use by implementing research, computation, or visualization ideas in a group setting. To best benefit from the program, participant are expected to have some experience with Python programming and data analysis. |
| 17 | +**Due to COVID-19, there will be no in-person event in 2020. A virtual event around August is |
| 18 | +being discussed. Applications will open soon. Please check back in early May.** |
13 | 19 |
|
14 | | -If you are ready to apply, please use the application form [https://form.jotform.com/oceanhack/2020](https://form.jotform.com/oceanhack/2020) |
| 20 | +In Oceanhackweek we will explore the intersection of data science and oceanography through tutorials and hands-on “hacking” projects. In tutorials, we will learn data science tools, cloud computing, visualization, and a suite of software assets to interact with data sets of complex temporal-spatial structures or high volume. In project sessions, we will immediately put these skills to use by implementing research, computation, or visualization ideas in a group setting. To best benefit from the program, participant are expected to have some experience with Python programming and data analysis. |
15 | 21 |
|
16 | 22 | --- |
17 | 23 |
|
18 | | - |
19 | 24 | ## FAQs |
20 | 25 |
|
| 26 | +**Q: How will the coronavirus (COVID-19) impact OceanHackweek plans?** |
| 27 | + |
| 28 | +**2020-4-23.** We are monitoring the COVID-19 situation and are in ongoing discussions |
| 29 | +about its impact on plans for a virtual event in 2020 and in-person events in 2021. |
| 30 | +Please check this web site regularly for updates. |
| 31 | +To stay up to date on the current impact of the coronavirus emergency and government recommendations, |
| 32 | +see the US Federal web site <a href="https://www.coronavirus.gov">https://www.coronavirus.gov</a> |
| 33 | +and your state and local positions. |
| 34 | + |
| 35 | + |
21 | 36 | **Q: I am an undergrad / first year grad / faculty / etc. Is this program right for me?** |
22 | 37 |
|
23 | 38 | We welcome participants from all career stages. We strongly encourage applications from graduate students, postdocs and early career researchers. There are different ways to contribute to the event: by pitching a project, by your knowledge of data sets, by your computational skills, by your project management skills. We want you to grow/learn during the event! We expect all participants to be engaged in the team projects and focus during the week. If in doubt, simply apply and explain your motivation for participation. |
|
0 commit comments