CIEE NEWS

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12.03.2020 | Top News
A Global Survey of scientific bottom trawl data ...click for more
 Picture01.10.2020 | Top News
A new synthesis of range expansion​....click for more.
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How does evolution affect variation in range expansion?...click for more 
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09.04.2020 I Top News
Do traits within species vary more locally or regionally?...click for more
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09.04.2020 | Top News
What part of the Tree of Life should we conserve?...click for more
Picture12.06.2019 | Top News
Conservation of evolutionary history...click for more

Announcements

A blueprint for increasing equity, diversity and inclusion in CIEE
Science works best when everyone is included and valued. But academic science has persistent, systemic patterns of discrimination, including the under-representation and under-valuation of marginalized groups (amongst others, those who identify as female, Indigenous, Black or other people of colour, LGBTQIA+), and failure to accommodate individual constraints such as caregiving, disability and poverty. Without intervention, working groups may perpetuate these problems. CIEE welcomes the opportunity to improve equity, diversity and inclusion in our programming and more generally in Canada’s ecology and evolution research community.
  1. Fund one working group in the 2020 competition on the topic of improving equity, diversity and inclusion in Canada’s ecology and evolution research community. Full details here.
  2. Develop guidelines, resources and training to improve equity, diversity and inclusion (EDI) in working groups. 
  3. Increase requirements for working group applications to explicitly address participant diversity, equity in authorships and workload, and inclusiveness in working environment. Since 2017 CIEE has required at least 40% of participants in proposed working groups to include individuals who self-identity as female or non-binary. 
  4. Gauge the effectiveness of these interventions through surveys of working group participants.
  5. Ensure training activities are inclusive, and participant selection procedures minimize the opportunity for implicit bias. The Living Data Project already requires EDI training for Project leaders, postdocs and students doing internships, and our scientific collaboration course teaches EDI in the context of team science.