values, culture, expectations, resources

PERSONAL

1. Be passionate and curious, enjoy science and pursue what truly moves you. 

2. Distinguish yourself by being a good person. A good work atmosphere is important for all to be happy. In case of conflict, try to talk with others, usually problems come from misunderstandings not from people not acting with good faith. We are more productive working together. Think about each other as teammates rather than competitors, both between and within labs. Be a giver.  

3. Everyone experiences impostor syndrome during their career, at some point or another. Remember that you belong in science, and in this lab. Reach out to your peers for support.

4. Never stop learning. Take time to learn things that might require a loss of immediate time, but also will pay off. When you learn something, new possibilities are generated.

5. READ. You need to know the state of knowledge to be able to contribute to science in a relevant way. There are some papers that you have to read in depth, for instance when you are applying the same method or theory. Most can be read superficially to get a grasp. Search the internet for new papers everyday. Platforms such as twitter or subscriptions to e-mail lists of journals help with this.

6. We strive for equity in science at all positions and encourage advocacy for  job stability, competitive salaries and benefits, and we do not believe in unpaid work. 

GROUP and PROJECTS

7. Prioritize. Learn to say NO when you don’t have time. Make sure to leave time for important tasks that don't seem very urgent (example, reading papers).

8. Look at the big picture when designing projects and think about finding new connections in the world of ideas. BE CREATIVE and THINK BIG - dare to question.

9. Discuss a lot. The more times you share your results, the more fluent you will be. It also helps to identify weak spots of your science and to see new points of view that could be the origin of the next idea/analysis.

10. Generate robust science: solid experimental designs, datasets, methods. This also goes together with being tidy and having reproducible results. It is time well-spent. You will get criticism, you will have to reanalyze. Doing the above, at the end will pay off.

11. You will make mistakes, but  what you do when you make a mistake is what counts.  When you discover an error, whether it's the initial results of a project or 10 years after publishing, you should be truthful and own the mistake. Take the steps it requires to fix the mistake, be it rewriting the code or submitting corrections / retractions. Be grateful for those who helped you catch the mistake as they're helping make your science even better. 

12. The counterbalance of the above: “perfection is the enemy of progress”. It is important to do things well, but we cannot get lost in perfecting details continuously. It is important to reach a right balance with the above. If you are unsure of what to do, talk with colleagues.

13. Don't be afraid to start side projects. For example, develop a small test, try something out of curiosity, collaborate in something crazy with a friend, read about a very different topic. You never know when inspiration will strike.

14. When reviewing/hearing other people’s work remember to be skeptical, but do not be so only for the sake of being a skeptic. Note that who produces the work (paper, presentation) might have more experience and knows the data better than you. Be polite and if something does not fit, ask nicely or make kind suggestions. When people in the lab share their work and want feedback, remember to be the strongest critic but also the strongest and kindest advocate giving feedback.

PUBLISHING and SHARING

15. Be transparent and support open science. Share data and code in platforms such as Github. Strive for high-quality, well-documented, and reproducible code and data.

16. We make our science open, check out  our website moilab.science/papers for PDFs of all of our work. Also we make our data public through servers like datadryad.org and figshare.org.

17. Try your best to communicate your science back to the community, it helps a lot to get feedback and generate a network. For example, I use Twitter for science to find and share new publications/projects, see @MExpositoAlonso

18. Publishing is important, but the system has problems. Don't get discouraged with the publishing process. Aim to produce a solid piece of research that can be shared with colleagues and in bioRxiv. Be prepared for the long process of publication. Your abilities and your value are not measured by how fast or how many papers you publish.

19. Repeating because publishing is indeed important: Focus on producing a robust written piece of science that can be shared. Even if the work might seem little and unspectacular, it is important to do the exercise to write our results and build a conceptual framework, make useful tables and nice figures, and put it somewhere like http://www.biorxiv.org.

20. Giving talks and posters are also ways of publishing. Do it! Conferences help you to build a network, get feedback, and they are fun!

Resources

Diversity Equity Inclusion Belonging

We strive to be a team of wonderful colleagues without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or age. We believe in the value of diverse thinking, in initiatives to promote inclusion, and in a caring lab culture to achieve equity.  Some resources [continuously expanded] to achieve this aim:

- Our anti-discrimination policy: https://mycarnegie.carnegiescience.edu/policy/hr-policies/anti-discrimination-and-harassment-policy 

- Reporting violations https://mycarnegie.carnegiescience.edu/policy/hr-policies/reporting-violations 

- General  https://humsci.stanford.edu/current-students/diversity-resources-and-programs

- Changing Culture and Climate initiative of Plantae https://plantae.org/education/changing-culture-and-climate/#mission-statement  

-  Anti-Racism resources  bit.ly/ANTIRACISMRESOURCES

Important link between the origin of statistical genetics and racism (eugenics) https://genestogenomes.org/understanding-our-eugenic-past-to-take-steps-towards-scientific-accountability/

Important misuse of genetics research by racists http://ewanbirney.com/2019/10/race-genetics-and-pseudoscience-an-explainer.html

Carnegie has a dark history of involvement in eugenics research with the Genetics Department of Cold Spring Harbour. While this research was de-funded in 1939, it is important we are informed about this and denounce it. An important public statement of Carnegie President on the eugenics history: https://carnegiescience.edu/node/2654. 

- LGBTQIA+ in STEM https://lgbtq.asee.org

- Women in STEM  https://www.awis.org

-WISE and WISSH Groups
Mentoring groups for doctoral students and postdoctoral scholars promoting the success of women in science and engineering
https://vpge.stanford.edu/events/programs/wise-and-wissh-groups

Mental Health resources

- Stanford offers professional help and resources:  https://vaden.stanford.edu/health-resources/mental-health; https://vaden.stanford.edu/caps/referrals 

Get advice in any conflict or report violations of conduct

We denounce any kind of discrimination or violence, verbal or physical, and aim to provide resources when conflicts arise or to report misconduct. 

- Every member of our lab and community has access to independent, confidential, and impartial Ombuds: https://carnegiescience.tequitable.com/#/. Ombuds are trained professionals who can help you from having confidential conversations about improving communication skills to reporting misconduct. 

- Again, violence of any kind, verbal or physical, is not tolerated. To make an official report go to: https://mycarnegie.carnegiescience.edu/policy/hr-policies/violence-workplace .