Management 101 for scientists – three rules for managing a successful team
Good management can make an enormous difference in the success and productivity of any team. Unfortunately, new managers are rarely chosen because they have demonstrated skill at managing people. After 10-15 years of training, many scientists will be expected to run an academic lab or manage a team outside of academia with little experience and almost certainly no formal training. The kind of smarts and the types of skills that it takes to be a good scientist are not the same ones it takes to be a competent manager (much less a really good one). While getting your PhD or doing a postdoc, few science trainees have opportunities to work on their emotional intelligence or to hone their delegation skills. Read more
From Doctorate to Data Science: A very short guide
Are you one of the many PhDs considering a career in data science? I completed a PhD in neuroscience at Stanford three years ago; now I’m a data scientist at Uber. During my time in industry, I’ve found that the skills we develop in graduate school, such as analytical thinking, statistics, communication skills, and – oh yes – tenacity in the face of adversity, make us a great fit for the role. Read more
Ask not what you can do for open data; ask what open data can do for you
It has been shown that research articles receive more citations when they have their underlying data openly linked to them. With this in mind, it’s time to consider not just the ideological reasons for making research data open, but the selfish benefits of openly sharing data that all researchers can (and should) be taking advantage of. Read more
Development and debate about the March for Science
It’s fair to say the scientific community is spending a lot of time talking about the March for Science, due to take place on April 22, 2017. While organizers are preparing for events in Washington, D.C. and satellite locations around the world, scientists are evaluating their roles in politics and public outreach. I reached out to scientists and science supporters to discuss the march and the impact of recent political decisions on science, scientific policy, and our careers as scientists. Read more
Away from home: Collaboration in a global organisation
The ‘Away from home‘ blogging series features Indian postdocs working in foreign labs recounting their experience of working there, the triumphs and challenges, the cultural differences and what they miss about India. They also offer useful tips for their Indian postdocs headed abroad. You can join in the online conversation using the #postdochat hashtag. Read more
How can better data sharing and management improve a career in science?
In many research projects, there tends to be three major interested parties. The first is the researcher who actually performs the experiment and collects the data. The second is the scientist overseeing the research project, who may be collating related data from several researchers. Finally, there is the institution, which supports the research financially and provides a space in which to do it. Read more
Multi-disciplinary Centers are lousy lifeguards when drowning in sea of PowerPoint slides
Multi-disciplinary, trans-disciplinary, translational, team science. These are the buzzwords for a consensus that transformative science requires collaboration among diverse disciplines. With scientists locked into narrow sub-disciplines, universities are dedicating enormous resources for top-down multi-disciplinary “programs,” “centers,” and “institutes” that attract diverse researchers, with the aim of encouraging more multidisciplinary collaboration. Read more
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From Doctorate to Data Science: A very short guide
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