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Inclusive science:  strategies Inclusive science:  strategies

Inclusive science: strategies - PowerPoint Presentation

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Inclusive science: strategies - PPT Presentation

to broaden participation Preparing for Academic Careers in the Geosciences Workshop 2013 Raj Pandya Why is diversity important to science Think about why is it important to scientists people who use science people who fund science ID: 712187

diversity science community amp science diversity amp community participation associations question data national male good people groups research inspired

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Slide1

Inclusive science: strategies to broaden participation

Preparing for Academic Careers in the Geosciences Workshop 2013

Raj PandyaSlide2

Why is diversity important to science?

Think about why is it important to scientists, people who use science, people who fund science.Slide3

Signs of disconnect

P

erformance on international tests

Enrollment in STEM

Minority participation

P

ublic understanding

Politicization

Unrealized researchSlide4

Why is enhancing diversity especially relevant for the geosciences?Slide5

[1] Chart made from data at National Science Foundation, Division of Science Resources Statistics. 2010

Science and Engineering Degrees, by Race/Ethnicity of Recipients: 1997–2006.

Detailed Statistical Tables NSF 10-300. Arlington, VA. Available at

http://www.nsf.gov/statistics/nsf10300/

.

PhDs in Atmospheric Sciences by Race/Ethnicity and Citizenship

US citizens - majority

Temporary Residents

US citizens from under-

Represented groupsSlide6

Kate Golden/Wisconsin Center for Investigative JournalismSlide7

Victor H. Rivera-Monroy and Robert R. TwilleySlide8

8

Cold is what makes my language, my culture, my identity. What am I going to do without cold?

Oscar Kawagley, Yup

ik

Jay Dickman, National GeographicSlide9

Drought in the Sahel

Held

et al

, 2005. Slide10

Why is Diversity so hard?

What about science makes it hard to attract and advance students from historically underrepresented groups?Slide11

Biases that may be shared

Faculty participants rated the male applicant as significantly more competent and

hireable

than the (identical) female

applicant

Moss-

Racusin

, C. A.,

Dovidio, J. F., Brescoll, V. L., Graham, M. J., & Handelsman, J. (2012). Science faculty’s subtle gender biases favor male students. Proceedings of the National Academy of Sciences, 109(41), 16474-16479.Letter writers were more likely to use “communal” words when describing female applicants and “agentic” terms when describing male applicantsMadera, J. M., Hebl

, M. R., & Martin, R. C. (2009). Gender and letters of recommendation for academia: Agentic and communal differences. Journal of Applied Psychology, 94(6), 1591.Slide12

Why?

Communication

Acronyms, jargon and, “low-context”

Culture

unfamiliar

practices and divergent

values

Relevance

Are science questions aligned with community priorities? Slide13

Our scientific power has outrun our spiritual power. We have guided missiles and misguided men.

Marin Luther King, Jr.Slide14

What has worked?Slide15

Design Principles (not à la carte)

Institutional

leadership

Targeted

recruitment

Engaged

faculty

Personal

attentionEnriched research experienceBridging to the next levelContinuous evaluationSlide16
Slide17

w

ho does the question come from?

s

cientist-inspired

c

ommunity-inspired

d

oes it require

community participation?

yes

requires data

yes

requires data and knowledge

no

scientist-led science

push education & application

contributory science

is science already available to answer the question?

pull e & a

community-directed science

no

yes

research question

does it require community participation?

yes

no

co-created science

p

ush e & a

by doing

collaborative science

p

ull e & a

by doingSlide18

Solutions-oriented

Multidisciplinary

Inclusive

Participatory

Community- Inspired ScienceSlide19

Managing Meningitis in the SahelSlide20

Accept Bias and build processes to negate bias

“Blind

auditions increased the probability that a woman would advance from preliminary rounds by 50 percent

.”

Rouse and

Goldin

, American Economic Review, 2001Slide21

Implicit Association Tests

Introduced in 1998 to measure automatic associations

Most people who take the test “prefer” the following associations

Young and good

Euro-American and good

Thin and good

Females and Liberal Arts

Males and Science

Career and MalesFamily and FemalesStraight and goodAssociations may be counter to self-efficacye.g. African-Americans also hold negative associations about African-Americans, though at a lessor rate than other groups. Associations may differ from stated beliefs, values, or actionsExposure is the antidoteSlide22

What are willing you try?

What institutional goals can you build on?

What examples have you seen that work?

Who can help you?

What connections do you have to diversity?Slide23

Inclusion, not diversity

Diversity is who does our science, inclusion is about what science questions we ask, how we answer them, and who we work with. Slide24

rpandya@agu.org