WEBVTT

ab7d6fd0-fc9c-4d4c-b982-f580d1f6d666-0
00:00:02.720 --> 00:00:03.720
Good morning, everyone.

01795fb5-6f8a-4444-9956-6e80192882f2-0
00:00:03.720 --> 00:00:05.520
Good morning.

e4b9042c-a757-4179-8ee6-a687b5b7b8f6-0
00:00:05.840 --> 00:00:08.240
OK,
so I'm going to introduce Doctor Carapina.

3d3044cd-39de-4778-b254-557159827802-0
00:00:08.760 --> 00:00:09.040
Dr.

32d0828f-bb14-4407-8925-85ce7d664bde-0
00:00:09.040 --> 00:00:13.361
Carapina is an associate professor of
biology at Framingham State University,

32d0828f-bb14-4407-8925-85ce7d664bde-1
00:00:13.361 --> 00:00:16.520
which is a sister institution to Salem
State University.

7f6b7a00-61e4-426e-aab3-bb21043d0c23-0
00:00:17.040 --> 00:00:21.826
She completed her bachelor's degree at
UMass in person in Biochemistry and

7f6b7a00-61e4-426e-aab3-bb21043d0c23-1
00:00:21.826 --> 00:00:26.931
Molecular Biology in her doctoral degree
at Brandeis University in Cellular and

7f6b7a00-61e4-426e-aab3-bb21043d0c23-2
00:00:26.931 --> 00:00:28.080
Molecular Biology.

81006239-6437-4662-9bec-bb918131c0fa-0
00:00:28.960 --> 00:00:32.878
I have the privilege of meeting Cara
during my first year at Advertising

81006239-6437-4662-9bec-bb918131c0fa-1
00:00:32.878 --> 00:00:36.207
University where she not only trained me
as a microbiologist,

81006239-6437-4662-9bec-bb918131c0fa-2
00:00:36.207 --> 00:00:39.160
but she also shake me into the mentor
that I am today.

3c687f28-7c49-40f7-a89b-e3eb2ea3318c-0
00:00:39.720 --> 00:00:42.864
She guided me from my mentoring policy
scholars,

3c687f28-7c49-40f7-a89b-e3eb2ea3318c-1
00:00:42.864 --> 00:00:47.486
supporting students in the NSFREU
Research experience for undergraduate

3c687f28-7c49-40f7-a89b-e3eb2ea3318c-2
00:00:47.486 --> 00:00:50.759
program,
working with my first laboratory mentees,

3c687f28-7c49-40f7-a89b-e3eb2ea3318c-3
00:00:50.759 --> 00:00:53.840
and designing and teaching my very first
class.

c6a5e8c7-bc27-4ab6-a09f-7cbe0cc37c4b-0
00:00:54.440 --> 00:00:57.582
Her guidance, patience,
and generosity with her time and

c6a5e8c7-bc27-4ab6-a09f-7cbe0cc37c4b-1
00:00:57.582 --> 00:01:01.993
knowledge have had a lasting impact on me
and I will always be grateful for her

c6a5e8c7-bc27-4ab6-a09f-7cbe0cc37c4b-2
00:01:01.993 --> 00:01:02.600
mentorship.

e20c1c2c-6133-4fe6-85ee-7842daead94a-0
00:01:03.360 --> 00:01:07.906
Both Salem State and Framingham State
serve and educate many students who are

e20c1c2c-6133-4fe6-85ee-7842daead94a-1
00:01:07.906 --> 00:01:11.637
people of color, first generation,
from low income backgrounds,

e20c1c2c-6133-4fe6-85ee-7842daead94a-2
00:01:11.637 --> 00:01:14.960
and or are non traditional college age in
Massachusetts.

b70484ec-ecde-4c93-a9e9-ef4b712e7141-0
00:01:15.480 --> 00:01:20.399
Cara is heavily involved in work focused
on ensuring that all students are able to

b70484ec-ecde-4c93-a9e9-ef4b712e7141-1
00:01:20.399 --> 00:01:23.422
successfully pursue and complete a
college degree,

b70484ec-ecde-4c93-a9e9-ef4b712e7141-2
00:01:23.422 --> 00:01:27.690
regardless of the background to the use
of equitable grading practices,

b70484ec-ecde-4c93-a9e9-ef4b712e7141-3
00:01:27.690 --> 00:01:31.840
supporting faculty of color,
and mentoring students through research.

70d20439-a4f7-4fb3-8825-49ad9d592dae-0
00:01:32.320 --> 00:01:36.274
She teaches a range of courses including
introductory biology,

70d20439-a4f7-4fb3-8825-49ad9d592dae-1
00:01:36.274 --> 00:01:40.040
microbiology and seminar on infectious
disease and society.

9f38d004-e7f5-434d-9a0f-11d83c028d6e-0
00:01:40.720 --> 00:01:44.844
Her research covers a range of topics
from how bacteria respond to

9f38d004-e7f5-434d-9a0f-11d83c028d6e-1
00:01:44.844 --> 00:01:48.783
environmental stressors such as
temperature, pH and osmolarity,

9f38d004-e7f5-434d-9a0f-11d83c028d6e-2
00:01:48.783 --> 00:01:52.600
changes to bio remediation and
alternative uses for microbes.

fd12e0d5-8a04-4b67-b131-ed4331c5c7ec-0
00:01:53.280 --> 00:01:57.040
Please join me in welcoming my friend and
incredible centre, Dr.

3f0002c2-dd6f-4ea1-8ec2-0e311749af39-0
00:01:57.040 --> 00:01:57.560
Power Peanut.

eee5ef47-0562-4cfe-bf63-b612b63731dd-0
00:02:02.480 --> 00:02:03.160
Thank you Laura.

c5600d62-b01d-4f7e-8e8b-02a1e6b00482-0
00:02:04.880 --> 00:02:06.160
Hello, how are you?

9ee0918a-7fb9-436c-a515-5c4fe03fe002-0
00:02:06.160 --> 00:02:08.520
All good.

02c38d43-ab5a-45b3-ad63-f76abe1853d8-0
00:02:09.000 --> 00:02:09.440
We're good.

7ffe9db2-4b23-4fb8-86e2-dfedd7fecf58-0
00:02:11.800 --> 00:02:15.242
All right,
So I'm really excited to talk to you

7ffe9db2-4b23-4fb8-86e2-dfedd7fecf58-1
00:02:15.242 --> 00:02:21.194
about basically a whole list of things I
really enjoy and a whole list of things I

7ffe9db2-4b23-4fb8-86e2-dfedd7fecf58-2
00:02:21.194 --> 00:02:23.920
do in my job that I also really enjoy.

9e0da95f-1a05-40ec-b38e-49a5b8204c07-0
00:02:24.680 --> 00:02:28.520
So that's me up there.

43b23ac8-523a-46e9-ab14-692b3e41a8ad-0
00:02:30.280 --> 00:02:33.680
So I grew up in Massachusetts.

dc85e4a2-cc65-4154-b55a-69fc90cb1694-0
00:02:33.720 --> 00:02:37.360
How many of you grew up in the state of
Massachusetts?

a0499249-c9af-4913-bda9-a41fac0f91b7-0
00:02:38.280 --> 00:02:39.200
Nice, nice.

58bb2a14-1030-4477-b6ba-704afec3242a-0
00:02:39.400 --> 00:02:40.120
Where you all from?

56ba6674-2c4a-4a61-a2fc-5a396105a045-0
00:02:42.000 --> 00:02:43.000
Salem, Salem.

31dc06da-870f-4595-b8ec-edcb605ef56e-0
00:02:43.000 --> 00:02:51.937
A lot of people from Salem, Boston,
Boston, Lynn, Lynn Revere, Georgetown,

31dc06da-870f-4595-b8ec-edcb605ef56e-1
00:02:51.937 --> 00:03:00.280
Georgetown, Lowell, Lowell, Attleboro,
Attleboro, Taunton, Worcester.

69669784-1cbe-4b94-a282-4e826615a354-0
00:03:02.120 --> 00:03:03.720
So I grew up in Somerville.

4a398600-70bd-4850-b7be-22545e1f8417-0
00:03:04.320 --> 00:03:11.200
So that's where I spent my time as a non
college student.

d53b06dd-7787-4099-b96d-3cc0760d0d10-0
00:03:11.200 --> 00:03:14.360
So prior to going to college,
I grew up in Somerville.

0e212ab6-6cca-452d-912d-506a07c619d7-0
00:03:14.800 --> 00:03:20.000
I then went to UMass Amherst for my
undergraduate degree.

18f8159c-7996-4cd4-a063-13f44b9839f2-0
00:03:20.480 --> 00:03:24.720
And from there,
I tried to figure out what I wanted to do.

9031f203-b6c9-4611-a399-13ee8904b6db-0
00:03:25.080 --> 00:03:31.386
And the thing that sort of led me to
figure out what I wanted to do was an

9031f203-b6c9-4611-a399-13ee8904b6db-1
00:03:31.386 --> 00:03:36.600
undergraduate research experience that I
did over the summer.

e5437adf-2a9a-4f1f-9ea0-6eb6504a6675-0
00:03:36.840 --> 00:03:41.720
So I did it at UMass Medical or UMass
Chan as it's now called.

3e66c7d6-f288-41a3-bed5-fe1968f1f36d-0
00:03:41.920 --> 00:03:45.160
And I really, really liked doing research.

c18b55e4-a164-492f-ba0a-9231e81b306f-0
00:03:45.560 --> 00:03:49.688
So I found out that I really liked doing
research and I ended up getting a

c18b55e4-a164-492f-ba0a-9231e81b306f-1
00:03:49.688 --> 00:03:51.560
position as a research technician.

77caf6af-6f1a-499b-a8e3-0a2d563a1804-0
00:03:53.080 --> 00:03:55.320
This was still in Boston.

cfce94bb-abf4-477e-bfa7-02f3fe358deb-0
00:03:56.600 --> 00:04:03.021
That particular faculty member does a lot
of really prestigious Cancer Research,

cfce94bb-abf4-477e-bfa7-02f3fe358deb-1
00:04:03.021 --> 00:04:05.400
and he received another offer.

9cfd719a-c6d7-4a5c-84fa-abe94f3ab3aa-0
00:04:06.040 --> 00:04:09.978
So he moved his lab to New York,
to New York City,

9cfd719a-c6d7-4a5c-84fa-abe94f3ab3aa-1
00:04:09.978 --> 00:04:16.080
and I got another research position,
also in Boston, as a research technician.

e092fb58-71bb-4b61-99d3-920bca4b204d-0
00:04:16.080 --> 00:04:22.705
So I did some work in prostate cancer and
then I did some work in Drosophila

e092fb58-71bb-4b61-99d3-920bca4b204d-1
00:04:22.705 --> 00:04:23.480
genetics.

256be4a5-4331-46b2-96e9-30abb9a28456-0
00:04:24.520 --> 00:04:31.880
After that I applied to grad school and
in grad school I did work in E coli.

ed918c41-df33-48a0-8ea9-ecf077800b50-0
00:04:33.240 --> 00:04:37.662
From there I determined that I really
liked teaching,

ed918c41-df33-48a0-8ea9-ecf077800b50-1
00:04:37.662 --> 00:04:41.840
and prior to that I didn't think I liked
teaching.

1b3cb09e-6236-40f5-bb4c-3c2b863026d7-0
00:04:42.400 --> 00:04:45.547
And I realised that I didn't think I
liked teaching because I didn't think I

1b3cb09e-6236-40f5-bb4c-3c2b863026d7-1
00:04:45.547 --> 00:04:46.120
knew anything.

4e9aca9c-db4f-4766-a811-feb5399db4c0-0
00:04:46.600 --> 00:04:50.533
And so once I realised that I knew stuff,
I actually liked teaching people the

4e9aca9c-db4f-4766-a811-feb5399db4c0-1
00:04:50.533 --> 00:04:51.480
things that I knew.

49d0b21b-e36e-42bf-aca4-f3e09100b266-0
00:04:52.160 --> 00:04:58.520
So I took a postdoctoral research
position as a teaching postdoc.

01a8a5e5-5d73-4be1-8d5a-87311a4de8d3-0
00:04:58.920 --> 00:05:06.148
So basically what that was is I worked at
Providence College to learn how to do

01a8a5e5-5d73-4be1-8d5a-87311a4de8d3-1
00:05:06.148 --> 00:05:09.040
research with solely undergrads.

85f36a50-7e88-4d24-8a4b-3b4a2edb9c45-0
00:05:09.680 --> 00:05:15.006
So a lot of the bigger institutions like
Brandeis or UMass Amherst,

85f36a50-7e88-4d24-8a4b-3b4a2edb9c45-1
00:05:15.006 --> 00:05:17.200
they have graduate students.

1a67179c-3928-4107-9b9d-5e0e477705a2-0
00:05:17.200 --> 00:05:19.994
So they have PhD students,
they have masters students,

1a67179c-3928-4107-9b9d-5e0e477705a2-1
00:05:19.994 --> 00:05:22.280
they have undergrads,
they have technicians.

c2f71ebb-18fc-47ed-b21a-e9609285291c-0
00:05:22.440 --> 00:05:26.920
So they have a range of people with
experience in a lab.

3e1f7f05-e812-4d2c-a045-0a9fb9320f75-0
00:05:27.920 --> 00:05:31.808
As you might know,
primarily undergraduate institutions tend

3e1f7f05-e812-4d2c-a045-0a9fb9320f75-1
00:05:31.808 --> 00:05:34.040
to only have undergrads in the lab.

748329b4-f2cc-4164-aada-459ade61b63e-0
00:05:34.640 --> 00:05:41.942
So I wanted to know how do you best
create a lab where you do research with

748329b4-f2cc-4164-aada-459ade61b63e-1
00:05:41.942 --> 00:05:43.480
just undergrads?

3c0b3dc0-a04f-4bcd-af40-c193ea2056a8-0
00:05:43.920 --> 00:05:47.600
And so I learned some of that through my
post doc position.

159a4016-6098-4371-a876-030782728c1d-0
00:05:48.480 --> 00:05:54.142
And from there I applied for a position
at Framingham State and Doctor Lorando

159a4016-6098-4371-a876-030782728c1d-1
00:05:54.142 --> 00:05:57.440
and I started our positions at the same
time.

8951477c-40cd-48a2-a8a8-88bb5101ed71-0
00:05:58.200 --> 00:06:02.028
And I have been really,
really excited about the work that I get

8951477c-40cd-48a2-a8a8-88bb5101ed71-1
00:06:02.028 --> 00:06:03.560
to do at Framingham State.

df692f84-6dcf-4859-884a-c96844973977-0
00:06:04.120 --> 00:06:09.640
As Doctor Lorando mentioned,
the populations of students that the

df692f84-6dcf-4859-884a-c96844973977-1
00:06:09.640 --> 00:06:16.414
Massachusetts State school systems serve
tend to be a really exciting population

df692f84-6dcf-4859-884a-c96844973977-2
00:06:16.414 --> 00:06:17.000
for me.

046596ff-fcfb-43d4-b7ea-47167ec4f70a-0
00:06:17.360 --> 00:06:25.631
So I am a first generation college
student and I at Framingham have lots of

046596ff-fcfb-43d4-b7ea-47167ec4f70a-1
00:06:25.631 --> 00:06:26.720
first Gen.

7b888aed-d8db-49bb-95bd-f35643fb1d6f-0
00:06:26.720 --> 00:06:28.360
college students to mentor.

6133f69d-e2a9-47b6-b6a9-ae8b34efb955-0
00:06:28.880 --> 00:06:34.273
I have lots of people who didn't
necessarily think that they were going to

6133f69d-e2a9-47b6-b6a9-ae8b34efb955-1
00:06:34.273 --> 00:06:35.280
go to college.

68fbdd78-3cda-4521-a50f-417550f8ae59-0
00:06:35.360 --> 00:06:39.280
Am I other than a faculty member at
Framingham?

8d934d03-7f81-4c87-8309-d8d6e21fcd0b-0
00:06:39.720 --> 00:06:42.920
So I really, really like microscopy.

3fce84ca-9370-4d89-a0e7-d745e15db631-0
00:06:43.440 --> 00:06:48.240
So microscopy is by far one of my
favorite things to do in science.

793879ff-4ab5-4583-a52f-929577ab25c4-0
00:06:48.640 --> 00:06:55.800
I love looking at really small things or
large things in really great detail.

36e13e54-3286-4360-98ce-a2af6d0fdbe9-0
00:06:56.200 --> 00:06:58.040
I think that it's just really cool.

09667cc8-6bc9-4ea0-b24c-19627a5faed9-0
00:06:59.320 --> 00:07:04.529
I also really like bio art,
so I have had the awesome fortune this

09667cc8-6bc9-4ea0-b24c-19627a5faed9-1
00:07:04.529 --> 00:07:10.593
semester of teaching a course with one of
my colleagues who is an art history

09667cc8-6bc9-4ea0-b24c-19627a5faed9-2
00:07:10.593 --> 00:07:11.760
faculty member.

1de438e3-bff4-4c9e-b648-fe012777b816-0
00:07:12.200 --> 00:07:15.880
And so we are teaching a joint bio and
art class.

f5a00331-8cfb-443a-9532-738a92dafde0-0
00:07:16.160 --> 00:07:19.640
And so we get to talk about biological
concepts and how they're used in art.

69347060-2ab9-476f-a694-a1e89f752d58-0
00:07:19.960 --> 00:07:23.320
And it's one of the most amazing things
and I really enjoy doing it.

45fe60e9-bdfa-46a9-9e78-0c30f5e16074-0
00:07:24.200 --> 00:07:30.487
So that's who I am and these are the some
of the things that I've done that sort of

45fe60e9-bdfa-46a9-9e78-0c30f5e16074-1
00:07:30.487 --> 00:07:31.760
demonstrate that.

5ce97eb7-a3b9-4d5f-a6c0-9c0fd7506c03-0
00:07:32.000 --> 00:07:35.680
So this is the first paper that I ever
published.

ac343a71-83de-4fd1-878f-ad479625faab-0
00:07:36.360 --> 00:07:40.320
And there was microscopy involved,
as you might be able to see.

c2b1ad4b-a185-42f0-abba-d8442a0ff4b5-0
00:07:41.120 --> 00:07:48.224
So this was when I was working in a
Drosophila lab and I created a mutant

c2b1ad4b-a185-42f0-abba-d8442a0ff4b5-1
00:07:48.224 --> 00:07:51.680
that fluoresced in the larval state.

38dc7e68-42a2-4d30-8ee0-b2649dd1570a-0
00:07:52.120 --> 00:07:57.143
So for anybody who has some background
with Drosophila genetics,

38dc7e68-42a2-4d30-8ee0-b2649dd1570a-1
00:07:57.143 --> 00:08:02.863
sometimes you want to separate different,
different larvae with different

38dc7e68-42a2-4d30-8ee0-b2649dd1570a-2
00:08:02.863 --> 00:08:05.800
properties, different characteristics.

179b388d-d689-43fc-8086-a1126e575059-0
00:08:06.000 --> 00:08:11.957
So you can link this particular
fluorescence to the characteristic you're

179b388d-d689-43fc-8086-a1126e575059-1
00:08:11.957 --> 00:08:17.994
looking for and be able to look at it
when you have larva as opposed to an

179b388d-d689-43fc-8086-a1126e575059-2
00:08:17.994 --> 00:08:18.799
adult fly.

8f3eb353-0dbb-4f18-b1d3-10b8d1b61c74-0
00:08:19.440 --> 00:08:21.360
So I got to take these really cool
pictures.

b55e28ec-d7bd-49bb-b884-e9b0a088c968-0
00:08:22.280 --> 00:08:28.948
I love how detailed you can get with
microscopy and how interesting, I guess,

b55e28ec-d7bd-49bb-b884-e9b0a088c968-1
00:08:28.948 --> 00:08:35.959
things things are when you look at them
close up because we don't really get much

b55e28ec-d7bd-49bb-b884-e9b0a088c968-2
00:08:35.959 --> 00:08:40.320
of a chance to look at things quite that
close up.

c599d12c-8627-40d1-9de5-a3e14302cca3-0
00:08:43.440 --> 00:08:52.879
So then in Graduate School I worked on E
coli and most of my focus was DNA and the

c599d12c-8627-40d1-9de5-a3e14302cca3-1
00:08:52.879 --> 00:08:58.680
associate associated proteins with the E
coli DNA.

044edf60-7572-4000-b462-354209a150b5-0
00:09:01.200 --> 00:09:10.342
So this is a picture of an E coli cell
that has been lysed and all of this is

044edf60-7572-4000-b462-354209a150b5-1
00:09:10.342 --> 00:09:11.280
the DNA.

903f3b65-eab0-4524-b29e-1d1a73088c8e-0
00:09:13.520 --> 00:09:17.406
I did not take this picture,
but this is a pretty historic picture

903f3b65-eab0-4524-b29e-1d1a73088c8e-1
00:09:17.406 --> 00:09:19.320
that people may have seen before.

1281f314-599b-468b-b309-97d64c71fe9d-0
00:09:20.400 --> 00:09:25.971
There's a lot of DNA in an E coli cell,
and E coli cells are pretty small,

1281f314-599b-468b-b309-97d64c71fe9d-1
00:09:25.971 --> 00:09:31.914
so they have to fit all of this DNA into
the cell while still having room to do

1281f314-599b-468b-b309-97d64c71fe9d-2
00:09:31.914 --> 00:09:35.480
all the other things that the cell needs
to do.

2d5e98c2-48ec-41cb-baf1-561b34ac7997-0
00:09:36.760 --> 00:09:39.320
So they compact their DNA.

b3ddd460-8c3e-4e71-8b4d-aabf6147b239-0
00:09:40.080 --> 00:09:44.350
And while I was in Graduate School,
I spent a lot of time focusing on DNA

b3ddd460-8c3e-4e71-8b4d-aabf6147b239-1
00:09:44.350 --> 00:09:47.640
compaction because, again,
I thought it was really cool.

56114a36-0b84-450a-b67a-f14b31ebfc3b-0
00:09:47.840 --> 00:09:49.360
It involved microscopy.

7c65a7ea-ccb6-4e56-9ae4-1226c6625a15-0
00:09:49.640 --> 00:09:51.640
The DNA makes really cool shapes.

2b1ad52f-0115-4246-bef7-02187fccb849-0
00:09:51.880 --> 00:09:54.283
I mean,
you can argue with me that they're not

2b1ad52f-0115-4246-bef7-02187fccb849-1
00:09:54.283 --> 00:09:56.532
cool,
but I think they're cool and I got to

2b1ad52f-0115-4246-bef7-02187fccb849-2
00:09:56.532 --> 00:09:57.759
take pictures like this.

e69f30cd-2f0b-4f7f-baec-c10b0dc7d6de-0
00:09:58.880 --> 00:10:04.355
So you can sort of see,
so in white is the DNA and you can sort

e69f30cd-2f0b-4f7f-baec-c10b0dc7d6de-1
00:10:04.355 --> 00:10:11.199
of see in this picture right here how
there's this 3D sort of spiralling effect

e69f30cd-2f0b-4f7f-baec-c10b0dc7d6de-2
00:10:11.199 --> 00:10:16.760
of the DNA in where it takes up,
takes up space inside the cell.

88c708be-6b69-43e3-b5ee-76635fa0ee58-0
00:10:18.600 --> 00:10:26.146
And then when you let the cells get older,
they do this really cool thing where they

88c708be-6b69-43e3-b5ee-76635fa0ee58-1
00:10:26.146 --> 00:10:30.320
compact their DNA into what's called a
toroid.

6ce5160a-da56-4c2e-b8a2-a5bc82b661e1-0
00:10:31.000 --> 00:10:37.840
So a toroid is this doughnut shaped thing
that's sort of bent like a saddle.

9fa78063-49e8-41b3-a5a2-f43169be1f4b-0
00:10:38.680 --> 00:10:40.040
And so that's the shape that you get.

6cfe8f3e-c9d0-44df-b168-7ac7294fdf6b-0
00:10:43.000 --> 00:10:50.135
So more things that I just think are cool
from the things that we've talked about,

6cfe8f3e-c9d0-44df-b168-7ac7294fdf6b-1
00:10:50.135 --> 00:10:55.981
a lot of stuff you may notice is not
really high level breakthrough

6cfe8f3e-c9d0-44df-b168-7ac7294fdf6b-2
00:10:55.981 --> 00:11:01.999
information that's going to save humanity,
at least I don't think so.

c8e31330-a9bf-41e0-81fb-8647e714f93e-0
00:11:03.760 --> 00:11:08.680
But it is information that we didn't
necessarily know before.

8ab438bd-f7c7-4fa1-851f-29b941654fb0-0
00:11:09.120 --> 00:11:14.060
It is information that helps other people
to do their science,

8ab438bd-f7c7-4fa1-851f-29b941654fb0-1
00:11:14.060 --> 00:11:20.099
and it's stuff that you can do with
people who don't have much background to

8ab438bd-f7c7-4fa1-851f-29b941654fb0-2
00:11:20.099 --> 00:11:26.531
help them learn the information that they
need in order to be successful in their

8ab438bd-f7c7-4fa1-851f-29b941654fb0-3
00:11:26.531 --> 00:11:27.080
future.

4826a398-d456-4c6b-9971-694a7a751093-0
00:11:30.880 --> 00:11:33.506
The other thing,
because I said I like bioart,

4826a398-d456-4c6b-9971-694a7a751093-1
00:11:33.506 --> 00:11:34.680
that I do is agriart.

e929fc07-b682-42d3-a5d2-55fcfb020dee-0
00:11:35.080 --> 00:11:36.640
How many of you have heard of agriart?

30e26686-441d-4825-bad8-3ae9405058e6-0
00:11:39.480 --> 00:11:41.994
All right,
how many people know how you grow

30e26686-441d-4825-bad8-3ae9405058e6-1
00:11:41.994 --> 00:11:43.000
bacteria in a lab?

e3282f18-99fa-4eb9-98a1-ba065ca509bc-0
00:11:44.280 --> 00:11:45.400
All right, who wants to explain it?

a386269c-a307-414d-a2e2-e555d83a075a-0
00:11:48.360 --> 00:11:48.560
Yeah.

659de8bf-b8d7-4399-9a2d-b37a3fd1ad40-0
00:11:48.560 --> 00:11:48.680
OK.

ebb4fe7e-6831-4af2-b996-bb7052f867cc-0
00:11:49.120 --> 00:11:52.200
So you get you get these Petri dishes
that have auger in it.

9797928b-0944-4ea0-9e3e-21a5834ca99e-0
00:11:52.200 --> 00:11:55.623
You put the bacteria and you come in a
warm place to the bacteria,

9797928b-0944-4ea0-9e3e-21a5834ca99e-1
00:11:55.623 --> 00:11:58.280
juice the auger,
and then you put it in the fridge.

91102d66-c972-4bc4-90f7-3305230e110a-0
00:11:58.280 --> 00:11:59.080
So multiply.

a6720d7b-3218-490e-84ec-8ebf42dca010-0
00:12:00.240 --> 00:12:00.760
Yes.

6ddb6e7e-98c8-4f5b-a0d6-530853bded2e-0
00:12:01.160 --> 00:12:04.360
So you use Petri dishes that have auger
in it.

b49e57b9-2495-4cf7-96de-034c3b3a16b2-0
00:12:04.560 --> 00:12:08.480
So auger is a similar substance to
gelatin.

9d66325d-5509-404c-9248-3c7143748f53-0
00:12:08.880 --> 00:12:11.160
Gelatin is made from animals.

23e9ec88-caf9-48fb-8aa8-a719c0d05189-0
00:12:11.440 --> 00:12:14.633
Auger is made from seaweed,
but they're similar substances,

23e9ec88-caf9-48fb-8aa8-a719c0d05189-1
00:12:14.633 --> 00:12:18.200
so they get sort of solid and then you
grow your bacteria on them.

bb3ee370-b62b-496a-9ad5-4a30a23f0bbe-0
00:12:18.960 --> 00:12:26.232
So Agri art is the use of bacteria that
is colored in some way so they can make

bb3ee370-b62b-496a-9ad5-4a30a23f0bbe-1
00:12:26.232 --> 00:12:27.960
their own pigments.

102378c1-e707-452e-9d7f-f76af3799b79-0
00:12:28.320 --> 00:12:33.357
You can make them make pigments,
they can fluoresce,

102378c1-e707-452e-9d7f-f76af3799b79-1
00:12:33.357 --> 00:12:40.200
and you put them on your Petri dish in a
particular way to make images.

9f35b65a-3292-4c65-bf6a-1541d5def8ab-0
00:12:40.920 --> 00:12:46.752
So I ran an Agri art event at FSU and
these are some of the products that my

9f35b65a-3292-4c65-bf6a-1541d5def8ab-1
00:12:46.752 --> 00:12:49.480
colleagues created during the event.

71c8066e-5c95-45da-84cc-1f1b46b3d2a2-0
00:12:52.440 --> 00:12:56.766
And I think that this is another sort of
cool,

71c8066e-5c95-45da-84cc-1f1b46b3d2a2-1
00:12:56.766 --> 00:13:01.276
fun way to get familiar with how bacteria
grows,

71c8066e-5c95-45da-84cc-1f1b46b3d2a2-2
00:13:01.276 --> 00:13:08.363
get familiar with how one makes these
microbes fluoresce and what you can do

71c8066e-5c95-45da-84cc-1f1b46b3d2a2-3
00:13:08.363 --> 00:13:15.819
that sort of brings our science into the
realm of people that might not be doing

71c8066e-5c95-45da-84cc-1f1b46b3d2a2-4
00:13:15.819 --> 00:13:17.200
science, right.

bf2bad52-6417-4985-a4c6-785c4479549c-0
00:13:17.200 --> 00:13:24.280
So a lot of colleges tend to separate by
topic, right?

1a31dd94-44c0-4eb6-ba43-b55afb8d8ae3-0
00:13:24.600 --> 00:13:27.537
So at Framingham,
we have the College of STEM,

1a31dd94-44c0-4eb6-ba43-b55afb8d8ae3-1
00:13:27.537 --> 00:13:29.600
and they're all sort of together.

23d3949b-8647-43e8-9a7b-09bc77862daa-0
00:13:29.800 --> 00:13:34.023
We have the College of Humanities and
they're all sort of together and they're

23d3949b-8647-43e8-9a7b-09bc77862daa-1
00:13:34.023 --> 00:13:35.520
listed as separate colleges.

49962d0e-e098-4828-873c-3ae742e01cf6-0
00:13:36.280 --> 00:13:41.306
But we do a lot of things that overlap,
and the more that we can find stuff that

49962d0e-e098-4828-873c-3ae742e01cf6-1
00:13:41.306 --> 00:13:45.464
overlaps, that we can do,
I think makes a lot of our education far

49962d0e-e098-4828-873c-3ae742e01cf6-2
00:13:45.464 --> 00:13:46.520
more interesting.

e60b9631-ff40-4387-ab11-96adf4d3b8e9-0
00:13:47.240 --> 00:13:49.520
So those are the things I like to do.

8fc7381d-bc01-4b11-8ec1-fb744eae8842-0
00:13:55.120 --> 00:13:58.760
As I mentioned multiple times,
I work at Framingham State.

3627848a-9d21-4444-aab6-23e322af9a0e-0
00:14:00.000 --> 00:14:08.840
So like Salem,
we are a state level university.

9507cf38-7812-4aad-9952-21313fa26310-0
00:14:09.600 --> 00:14:13.432
We are not part of the UMass system,
but we are also not part of the Community

9507cf38-7812-4aad-9952-21313fa26310-1
00:14:13.432 --> 00:14:14.160
College system.

50b08153-604b-4b66-a2b9-4ae573e860d0-0
00:14:14.160 --> 00:14:16.840
We are the state level other system.

e83df573-1f41-4d44-8031-5b43f377bf18-0
00:14:17.400 --> 00:14:23.000
And this is a job that I've that I really
wanted.

84a31c4a-17cb-495a-b4f8-834df16f8506-0
00:14:23.640 --> 00:14:26.320
This was immediately after interviewing.

848251db-dd22-477f-8522-a326de9453ae-0
00:14:26.320 --> 00:14:32.552
I knew that this was what I wanted to do,
and I'm really excited about all of the

848251db-dd22-477f-8522-a326de9453ae-1
00:14:32.552 --> 00:14:33.920
stuff I get to do.

59d0051b-b24e-42f3-aec5-f9eebe9e2a2e-0
00:14:35.080 --> 00:14:40.086
And I know that your faculty are also
really excited about the stuff that they

59d0051b-b24e-42f3-aec5-f9eebe9e2a2e-1
00:14:40.086 --> 00:14:40.720
get to do.

05c58be3-b43f-4e94-be43-2dc2c7052bbf-0
00:14:41.480 --> 00:14:46.800
I spend a lot of time actually talking to
faculty at the other state institutions.

2bf103f7-3677-47ca-834a-5663d2d1707e-0
00:14:47.320 --> 00:14:50.280
And all of us really,
really love our jobs.

e27ff876-d7b3-4c2d-8d6e-9c3d9140a1f7-0
00:14:51.320 --> 00:14:58.082
So when we are trying to figure out what
we're going to be doing to help our

e27ff876-d7b3-4c2d-8d6e-9c3d9140a1f7-1
00:14:58.082 --> 00:15:04.582
students, to benefit our students,
we're doing these things intentionally

e27ff876-d7b3-4c2d-8d6e-9c3d9140a1f7-2
00:15:04.582 --> 00:15:07.920
because we deeply care about our jobs.

58e4bf05-c8e8-468a-8a55-ba35b27edfb8-0
00:15:11.920 --> 00:15:17.560
So Framingham's core values that it lists
on the website are as follows.

d03ecdb6-15a2-459d-8f02-d08efedbf1e5-0
00:15:21.200 --> 00:15:27.205
Some of these things are really easy to
see how we're going to do that in our

d03ecdb6-15a2-459d-8f02-d08efedbf1e5-1
00:15:27.205 --> 00:15:28.360
classes, right?

86a0e9a9-ec04-4428-bf9b-9716826745fd-0
00:15:28.680 --> 00:15:31.520
Academic excellence, that's pretty easy.

bf5d43f6-dc48-4ce4-8b65-7ddf147d8028-0
00:15:31.800 --> 00:15:33.560
Personal and professional growth.

8c7e8c4a-529f-4a83-81c7-6b8dd5fe76b5-0
00:15:34.080 --> 00:15:38.541
If you are planning to be in this field,
then your personal and professional

8c7e8c4a-529f-4a83-81c7-6b8dd5fe76b5-1
00:15:38.541 --> 00:15:41.960
growth within this field sort of makes
sense with classes.

d2f9f5a7-5205-47c1-a7dc-40a05465a3f9-0
00:15:43.520 --> 00:15:50.765
But other things like public purpose,
global stewardship, ethical citizenship,

d2f9f5a7-5205-47c1-a7dc-40a05465a3f9-1
00:15:50.765 --> 00:15:58.103
inclusive and collaborative community,
they may not seem like they fit quite as

d2f9f5a7-5205-47c1-a7dc-40a05465a3f9-2
00:15:58.103 --> 00:16:03.606
well in a class space or in the classes
that you're taking,

d2f9f5a7-5205-47c1-a7dc-40a05465a3f9-3
00:16:03.606 --> 00:16:07.000
but I would argue that they do right.

9a903ad5-a4bb-4e0f-b7b8-557a70acf411-0
00:16:07.000 --> 00:16:12.472
I would argue that inclusive and
collaborative community is important in

9a903ad5-a4bb-4e0f-b7b8-557a70acf411-1
00:16:12.472 --> 00:16:17.120
the workplace to be inclusive and
collaborative for projects.

12df67d2-c9f7-4d7f-b0db-a2f5badd0bff-0
00:16:17.800 --> 00:16:21.355
I would argue that public purpose and
commitment,

12df67d2-c9f7-4d7f-b0db-a2f5badd0bff-1
00:16:21.355 --> 00:16:26.973
it's sort of one of those things that
matters when you are thinking about what

12df67d2-c9f7-4d7f-b0db-a2f5badd0bff-2
00:16:26.973 --> 00:16:28.040
you want to do.

31ce0951-8f5d-4499-b411-22c47e47793a-0
00:16:30.880 --> 00:16:32.120
Global stewardship.

fb618730-cdac-4d57-a5f7-d80d49e480f8-0
00:16:33.080 --> 00:16:39.620
Well, if you're working in STEM,
much of your global stewardship probably

fb618730-cdac-4d57-a5f7-d80d49e480f8-1
00:16:39.620 --> 00:16:44.040
has to do with people and the environment,
right?

ee25d0af-43a0-43c8-bea0-34e38b6fcb94-0
00:16:44.040 --> 00:16:47.320
So we tend to do a lot of things that
benefit people.

c53f6c13-f6ac-4985-b871-90f1e7948de9-0
00:16:47.560 --> 00:16:51.827
We tend, or at least try,
we tend to try to do a lot of things that

c53f6c13-f6ac-4985-b871-90f1e7948de9-1
00:16:51.827 --> 00:16:54.840
benefit the environment an ethical
citizenship.

5fa28c33-1694-42a4-a3c5-46c9995a5b02-0
00:16:56.600 --> 00:17:01.842
While you may not think that, you know,
ethics is necessarily a biological

5fa28c33-1694-42a4-a3c5-46c9995a5b02-1
00:17:01.842 --> 00:17:05.407
concept,
there are definitely things that you have

5fa28c33-1694-42a4-a3c5-46c9995a5b02-2
00:17:05.407 --> 00:17:10.999
to think about when you're doing science
about the ethics of what you're doing.

f00e9fa6-357e-4063-bfbe-6f8cdea98c2f-0
00:17:11.560 --> 00:17:15.803
So I would argue that for me,
all of these things sort of fall into

f00e9fa6-357e-4063-bfbe-6f8cdea98c2f-1
00:17:15.803 --> 00:17:20.360
similar categories of things that I'm
trying to address in my classroom.

a248171b-5c00-463b-98ef-51fdb283cc00-0
00:17:23.400 --> 00:17:30.173
All right, So ultimately,
you all want a degree to go do something

a248171b-5c00-463b-98ef-51fdb283cc00-1
00:17:30.173 --> 00:17:32.600
with that degree, right?

17bdf1f9-6c3b-433a-8a8d-5d50b0f8ac7b-0
00:17:33.520 --> 00:17:34.040
Yes.

0a53de63-924a-49f1-8850-7d7291d0f266-0
00:17:35.560 --> 00:17:37.759
Yes,
you're getting a degree because you want

0a53de63-924a-49f1-8850-7d7291d0f266-1
00:17:37.759 --> 00:17:39.480
to go do something with that degree.

adf821b8-2083-4951-ae32-d9d4a2f1549d-0
00:17:40.160 --> 00:17:40.480
OK.

23ecec7b-39e6-437d-aabf-001b4e4d2df7-0
00:17:40.880 --> 00:17:45.880
So a lot of you said that you grew up in
Massachusetts.

f1346616-0125-4502-9d42-a24a5935a04f-0
00:17:46.760 --> 00:17:49.040
How many of you have family in
Massachusetts?

a3d39510-4fa1-41d1-9d6c-5b40f4b5b09f-0
00:17:50.480 --> 00:17:52.480
A lot of people have family in
Massachusetts.

eec276fd-be99-4c6c-bd0d-2072eb9af9ac-0
00:17:52.720 --> 00:17:54.849
How many people think that after they
graduate,

eec276fd-be99-4c6c-bd0d-2072eb9af9ac-1
00:17:54.849 --> 00:17:57.200
they're probably still going to be in
Massachusetts?

d8a55a7f-5a66-4abc-be79-fe91cee3c2b8-0
00:17:58.560 --> 00:17:59.400
A lot of people.

fdafd178-a41f-4733-9eeb-cc3dc00fcbd9-0
00:18:00.040 --> 00:18:03.880
So the Massachusetts workforce matters.

ea18c437-1783-40d2-8e4b-46b499444719-0
00:18:04.240 --> 00:18:05.240
It matters to me.

71f92ac6-84cb-4cbc-b223-1457800f0401-0
00:18:05.400 --> 00:18:09.768
It matters to your faculty,
because a lot of the students that we are

71f92ac6-84cb-4cbc-b223-1457800f0401-1
00:18:09.768 --> 00:18:14.200
teaching are going to go on to be part of
the Massachusetts workforce.

154dabb0-bb93-478d-adcc-7dfa2bdc32cc-0
00:18:14.720 --> 00:18:19.707
So when we think about STEM,
what does the Massachusetts workforce

154dabb0-bb93-478d-adcc-7dfa2bdc32cc-1
00:18:19.707 --> 00:18:20.080
need?

d9a0a03f-cd9c-4d08-9b35-f2f2017d697a-0
00:18:20.520 --> 00:18:24.193
So I'm going to focus right now on
biotech because that's what I have the

d9a0a03f-cd9c-4d08-9b35-f2f2017d697a-1
00:18:24.193 --> 00:18:24.640
data for.

de803d4d-0171-4375-9f67-d3e450267f44-0
00:18:25.440 --> 00:18:32.680
But this sort of is a broad statement
about the Massachusetts workforce.

88941b2b-03c8-4524-9452-e3bc64730c59-0
00:18:33.080 --> 00:18:41.693
So if you were to use some software to
search for biotech jobs in New England,

88941b2b-03c8-4524-9452-e3bc64730c59-1
00:18:41.693 --> 00:18:47.472
so I did this for 2022 and 2023,
what you get is 78.

88941b2b-03c8-4524-9452-e3bc64730c59-2
00:18:47.472 --> 00:18:53.360
4% of those jobs in New England are in
Massachusetts,

88941b2b-03c8-4524-9452-e3bc64730c59-3
00:18:53.360 --> 00:19:01.320
and 54% of those results are asking for
you to have a bachelor's degree.

aa6a3fe2-3146-4d7c-b4c5-f6786bd73488-0
00:19:03.760 --> 00:19:11.591
So a good chunk of my job is to ensure
that my students are prepared for what

aa6a3fe2-3146-4d7c-b4c5-f6786bd73488-1
00:19:11.591 --> 00:19:13.800
they want to do after.

5f603d22-c2df-497c-ac2b-06bbf3982f38-0
00:19:14.240 --> 00:19:17.280
And a lot of what they want to do after
is this.

2816aace-d284-432d-87f9-ebe20d6e9249-0
00:19:29.150 --> 00:19:33.206
So when you do this search,
these are the types of companies you come

2816aace-d284-432d-87f9-ebe20d6e9249-1
00:19:33.206 --> 00:19:33.670
up with.

08387b48-1b2b-4817-bc2b-2e766ac77e82-0
00:19:34.750 --> 00:19:41.750
So we've got Moderna, we've got Pfizer,
we've got Johnson and Johnson.

1039c54a-c0e1-4e87-9c7a-29b7c5126139-0
00:19:43.270 --> 00:19:46.710
How many of you have heard of at least
one of the companies up there?

c5e67f11-a972-49bf-bafd-080b9ef28e1b-0
00:19:49.270 --> 00:19:54.490
So these are all of the companies or many
of the companies that you're seeing

c5e67f11-a972-49bf-bafd-080b9ef28e1b-1
00:19:54.490 --> 00:19:58.440
posting jobs for the search that I was
just talking about.

92b8c9e3-6f39-4ce2-ab3a-759d5cb6e1a8-0
00:19:59.200 --> 00:20:02.409
So again,
these are the types of jobs that many of

92b8c9e3-6f39-4ce2-ab3a-759d5cb6e1a8-1
00:20:02.409 --> 00:20:05.934
my students want,
and it's my job to prepare them to go

92b8c9e3-6f39-4ce2-ab3a-759d5cb6e1a8-2
00:20:05.934 --> 00:20:08.200
into whatever it is they want to do.

98f36e3f-bfdf-4e21-938a-8e8b9818fbf6-0
00:20:08.680 --> 00:20:11.049
And like I said,
many of them are interested in things

98f36e3f-bfdf-4e21-938a-8e8b9818fbf6-1
00:20:11.049 --> 00:20:11.480
like this.

8b5300ec-e1a9-49cc-b17a-f780c1528486-0
00:20:15.760 --> 00:20:20.360
OK, so why does any of this matter?

f407ad4b-22a3-4802-bed2-b9621e598780-0
00:20:21.880 --> 00:20:25.320
So I'm going to read something from
Wikipedia.

f5dbbfbc-d14b-4a1b-b2ea-ee91d8cb0aae-0
00:20:26.360 --> 00:20:30.520
It is the Wikipedia page for the
demographics of Massachusetts.

61a39de5-e749-49b5-a1c0-14759a74adb5-0
00:20:31.800 --> 00:20:38.572
Massachusetts has the most Moroccan,
Brazilian and Ugandans of any state in

61a39de5-e749-49b5-a1c0-14759a74adb5-1
00:20:38.572 --> 00:20:42.760
the country in percentage of total
population.

b8ac64e0-6396-4742-8a7f-8433bc3ad103-0
00:20:43.520 --> 00:20:51.616
Massachusetts also has large communities
of people of Finnish, Swedish, Norwegian,

b8ac64e0-6396-4742-8a7f-8433bc3ad103-1
00:20:51.616 --> 00:20:59.419
Danish and Icelandic descent, Armenian,
Lebanese, Turkish, Syrian, Palestinian,

b8ac64e0-6396-4742-8a7f-8433bc3ad103-2
00:20:59.419 --> 00:21:05.760
Jordanian and Egyptian descent,
and Italian and Spanish descent.

6499b47e-0efe-42ac-ab05-d2534450b48f-0
00:21:07.240 --> 00:21:12.948
Massachusetts has one of the largest
lucifone populations in North America,

6499b47e-0efe-42ac-ab05-d2534450b48f-1
00:21:12.948 --> 00:21:17.080
so those are people who speak some form
of Portuguese.

eccf0a41-c130-4c32-9fab-0d0ce4abc730-0
00:21:18.320 --> 00:21:23.089
It has the largest Cape Verdean
population and the second largest

eccf0a41-c130-4c32-9fab-0d0ce4abc730-1
00:21:23.089 --> 00:21:26.920
Portuguese population after California of
any state.

59dea53d-640c-43e5-9da6-80c37677525c-0
00:21:27.360 --> 00:21:29.240
So this is just total population.

90557c95-7f27-4052-8afa-c8a5e2e401d4-0
00:21:30.920 --> 00:21:36.631
And as a percentage of the population,
it's second only to Rhode Island for both

90557c95-7f27-4052-8afa-c8a5e2e401d4-1
00:21:36.631 --> 00:21:37.760
of those groups.

e5595136-bcde-43c1-a150-c5d77eeb6b46-0
00:21:39.640 --> 00:21:43.160
Fall River and New Bedford on the South.

e3aa22c8-c4b0-4f28-ab77-0afc7aca6636-0
00:21:43.720 --> 00:21:49.144
Well, Ricky says South Coast,
South Shore have large populations of

e3aa22c8-c4b0-4f28-ab77-0afc7aca6636-1
00:21:49.144 --> 00:21:53.054
Portuguese,
Brazilian and Cape Verdean heritage,

e3aa22c8-c4b0-4f28-ab77-0afc7aca6636-2
00:21:53.054 --> 00:21:58.080
all of which are also prevalent in
Taunton and Brockton areas.

0b8318c4-0a6a-437c-804e-4759de2c807f-0
00:21:58.480 --> 00:22:01.729
And there's a growing Brazilian
population in the Boston area and

0b8318c4-0a6a-437c-804e-4759de2c807f-1
00:22:01.729 --> 00:22:02.960
especially in Framingham.

7190f107-0bf0-42de-b11f-cfc558af335f-0
00:22:08.600 --> 00:22:13.552
As of 2010,
residents the age of 5 or older spoke the

7190f107-0bf0-42de-b11f-cfc558af335f-1
00:22:13.552 --> 00:22:16.120
following languages at home.

b4fcf18a-d965-4dfd-94e3-0b658081f0c7-0
00:22:17.320 --> 00:22:27.774
So 79% of them spoke English at home,
8% spoke Spanish, 3% spoke Portuguese,

b4fcf18a-d965-4dfd-94e3-0b658081f0c7-1
00:22:27.774 --> 00:22:37.414
2% spoke Chinese, 1% French,
1% French Creole, another 1% for Italian,

b4fcf18a-d965-4dfd-94e3-0b658081f0c7-2
00:22:37.414 --> 00:22:41.080
and another 1% for Russian.

b365351b-dce1-49a0-9022-410b87344916-0
00:22:44.320 --> 00:22:50.080
So the state of Massachusetts has a
really diverse population.

cd96c154-dcfa-43c8-a4e6-8f817a96b2d3-0
00:22:50.920 --> 00:22:56.680
Regardless of what anybody wants to say,
This is this is what our state looks like,

cd96c154-dcfa-43c8-a4e6-8f817a96b2d3-1
00:22:56.680 --> 00:22:59.560
because this is what our state looks like.

d6643db2-49db-4b1c-bf90-26b07ffea3d8-0
00:22:59.840 --> 00:23:04.440
These are the students that are coming to
state institutions, right?

def2029e-a963-44fe-a754-711e1232fd00-0
00:23:04.440 --> 00:23:08.857
These are the students like you,
all that are coming to state institutions

def2029e-a963-44fe-a754-711e1232fd00-1
00:23:08.857 --> 00:23:09.800
to get a degree.

6341e0ea-6c44-496b-9754-4bef13aad77e-0
00:23:10.920 --> 00:23:14.440
So these are the populations of students
that I'm teaching.

0cd5b199-7d42-44b1-ac80-7693ba2a8a69-0
00:23:17.920 --> 00:23:19.800
Oh, I'm sorry, I missed Vietnamese.

dfdd23d0-e824-4066-826f-ca98d069f5a2-0
00:23:21.000 --> 00:23:23.080
Oh, my formatting was very terrible there.

c084baef-5b22-4d27-ac6c-5749597f5683-0
00:23:23.080 --> 00:23:24.080
I apologise.

adb08146-2ea1-4aac-96ba-af7eb8236a60-0
00:23:26.160 --> 00:23:31.950
So in total, we have 21.
07% of Massachusetts population age 5 or

adb08146-2ea1-4aac-96ba-af7eb8236a60-1
00:23:31.950 --> 00:23:36.600
older speaking a mother language other
than English.

fe83c8fa-d827-4f02-be69-5e3c9d2d783f-0
00:23:40.240 --> 00:23:47.559
So the Massachusetts State Universities,
so these are all the sister institutions

fe83c8fa-d827-4f02-be69-5e3c9d2d783f-1
00:23:47.559 --> 00:23:54.700
to you all and Framingham, these schools,
while they have differing focuses for

fe83c8fa-d827-4f02-be69-5e3c9d2d783f-2
00:23:54.700 --> 00:23:57.199
topics, some of them, right.

33bb86ec-ba31-49bf-b0fd-eee643df92e9-0
00:23:57.200 --> 00:24:03.172
So we have some specialty schools like
Mass Art that does art and art and design

33bb86ec-ba31-49bf-b0fd-eee643df92e9-1
00:24:03.172 --> 00:24:05.680
and we have Mass Maritime Academy.

412d3bfd-8c10-47a4-b01d-b4b7d8d37e00-0
00:24:05.720 --> 00:24:10.161
So those are sort of specialty schools
comparatively,

412d3bfd-8c10-47a4-b01d-b4b7d8d37e00-1
00:24:10.161 --> 00:24:16.411
but all of these institutions are
structured to support the students in the

412d3bfd-8c10-47a4-b01d-b4b7d8d37e00-2
00:24:16.411 --> 00:24:21.840
state of Massachusetts,
which is the population I just described.

c16beb5d-ebdf-49f3-90b3-4b6612b57c42-0
00:24:25.080 --> 00:24:27.880
So we all knew what we were getting into
when we agreed to our jobs.

5dbd7464-467a-43ef-9842-d6b1aec4e8d1-0
00:24:29.600 --> 00:24:32.120
I mean, the population, of course,
changes over time.

71096ee1-2239-436c-a47a-d8c15d6e6fd5-0
00:24:33.000 --> 00:24:36.720
But I've been at Framingham for how long,
Laura?

58e7f951-3e45-4eb3-931c-0e6ee90d50d9-0
00:24:36.760 --> 00:24:37.320
Six years?

4d7cf1bb-c2f0-40a4-86f9-64b69caf6be5-0
00:24:38.000 --> 00:24:38.440
Six years.

4f8f6e03-b191-4f14-b91e-e39dc1cf6435-0
00:24:38.720 --> 00:24:43.280
I've been at Framingham for six years,
and I knew what I was getting into.

6de1c751-c297-40d2-b493-2b775791349d-0
00:24:43.280 --> 00:24:47.709
I knew what populations I was going to be
serving as a faculty member at a

6de1c751-c297-40d2-b493-2b775791349d-1
00:24:47.709 --> 00:24:49.600
Massachusetts State institution.

778d763d-a78d-4b5d-b7cf-259346093a0f-0
00:25:00.020 --> 00:25:04.780
So what do we as faculty member folk,
faculty members, focus on?

0ee51ff8-528b-493b-98fa-23ba3eea006b-0
00:25:05.100 --> 00:25:07.222
Well,
how do we prepare students for the

0ee51ff8-528b-493b-98fa-23ba3eea006b-1
00:25:07.222 --> 00:25:07.740
workforce?

9ffcc8e7-b582-41f6-85a8-afef2eba22c1-0
00:25:08.260 --> 00:25:12.220
How do we close educational achievement
gaps?

f4ef77d4-4d3a-4165-8f6a-d63c4f58a94a-0
00:25:12.980 --> 00:25:15.420
How do we increase graduation rates?

6c6e848c-8676-4ff5-baeb-0d667c8cc3c0-0
00:25:15.880 --> 00:25:19.164
How do we give all of our students the
opportunity to be successful,

6c6e848c-8676-4ff5-baeb-0d667c8cc3c0-1
00:25:19.164 --> 00:25:20.640
regardless of their background?

323243a6-f6a3-4704-8eeb-45c5a18f99aa-0
00:25:21.400 --> 00:25:23.320
So that's what we want as faculty.

c9afc525-af64-4f28-8258-e433c64a02a5-0
00:25:23.920 --> 00:25:26.000
We want all of our students to be
successful.

4f31edc7-78a4-4ab0-a43f-babdd69d3ef8-0
00:25:29.960 --> 00:25:34.874
If you do the research on this,
there's lots of things that they suggest

4f31edc7-78a4-4ab0-a43f-babdd69d3ef8-1
00:25:34.874 --> 00:25:38.240
faculty should do to help students be
successful.

48a035d7-a9b5-43a5-91ec-3f5ad7fee181-0
00:25:38.720 --> 00:25:44.800
But one of the really big things they
suggest is mentoring through research.

364dfaed-1d8b-4696-a721-e86735d59fc2-0
00:25:45.880 --> 00:25:49.080
So these there are lots of papers.

c446a7eb-ae1b-4ccc-94bf-03223d5a718a-0
00:25:49.120 --> 00:25:52.280
These two papers I'm picking because
their titles were sort of catchy.

0917ead8-e673-47dc-9ef5-009cedbeb45c-0
00:25:53.280 --> 00:25:59.092
So early engagement in course based
research increases graduation rate and

0917ead8-e673-47dc-9ef5-009cedbeb45c-1
00:25:59.092 --> 00:26:03.200
completion of science,
engineering and math degrees.

58f013b2-545e-42cd-bc0b-c0eeeca38c99-0
00:26:04.480 --> 00:26:11.132
So they found that when students did
research in their courses,

58f013b2-545e-42cd-bc0b-c0eeeca38c99-1
00:26:11.132 --> 00:26:18.824
they were more likely than their peers
who didn't to be successful and to

58f013b2-545e-42cd-bc0b-c0eeeca38c99-2
00:26:18.824 --> 00:26:19.760
graduate.

e5a078b3-bf67-4a61-8514-c9b17a8279ab-0
00:26:24.560 --> 00:26:26.040
Mentoring for inclusion.

a16997d2-4846-4a3c-a2d6-193bd3642cfa-0
00:26:26.040 --> 00:26:30.600
The impacts of mentoring on undergraduate
research, researchers and the sciences.

bae628e1-60d6-4bce-88ac-ec7be22aac0c-0
00:26:31.200 --> 00:26:37.391
So this paper found that when students
did research and had a research mentor,

bae628e1-60d6-4bce-88ac-ec7be22aac0c-1
00:26:37.391 --> 00:26:40.840
they were more successful than their
peers.

96a56dd2-7d13-4e9a-b999-c9aace470582-0
00:26:42.720 --> 00:26:45.360
So what does that have to do with
anything that I was just saying?

fd3f9a14-2e40-4978-8629-39ffd9fcd6a7-0
00:26:45.600 --> 00:26:49.312
Well,
I told you that I picked my job

fd3f9a14-2e40-4978-8629-39ffd9fcd6a7-1
00:26:49.312 --> 00:26:50.680
intentionally.

2f9fc842-daae-48dc-ad4f-e3d5b268d4f5-0
00:26:51.080 --> 00:26:54.000
I told you that I want my students to be
successful.

8008e4e4-d7ed-4dd2-b859-a61f544b0bd2-0
00:26:54.680 --> 00:26:59.200
So I spend a lot of time mentoring
students through research.

7597ccbf-4bf5-4182-9a69-945dc4092f14-0
00:27:00.800 --> 00:27:03.160
I actually do a lot of it with Doctor
Lorenzo.

9d85ffd4-3355-4e92-8d86-4ea6030dbab6-0
00:27:03.880 --> 00:27:05.400
This is a picture taken in her lab.

e213c609-c2ec-4422-a62c-4ddc8231eeda-0
00:27:07.480 --> 00:27:13.122
So for undergraduate research experiences,
the things that I want my students to get

e213c609-c2ec-4422-a62c-4ddc8231eeda-1
00:27:13.122 --> 00:27:16.308
out of them,
I want them to find something that

e213c609-c2ec-4422-a62c-4ddc8231eeda-2
00:27:16.308 --> 00:27:19.760
they're interested in that they can do
research on.

edb72d33-4a3c-4f90-b84c-2a987947989c-0
00:27:20.240 --> 00:27:25.230
I want them to have an opportunity to see
how different information they've learned

edb72d33-4a3c-4f90-b84c-2a987947989c-1
00:27:25.230 --> 00:27:26.240
can be connected.

f1de684b-8efe-4e09-bf5b-0c11b1a1c7f3-0
00:27:27.280 --> 00:27:31.968
And I want them to demonstrate a
professional understanding to get skills

f1de684b-8efe-4e09-bf5b-0c11b1a1c7f3-1
00:27:31.968 --> 00:27:37.036
that they can bring with them to whatever
it is they're going to be doing after

f1de684b-8efe-4e09-bf5b-0c11b1a1c7f3-2
00:27:37.036 --> 00:27:39.000
they're finishing their degree.

982a27bb-3509-4655-b5e3-ae212247f72b-0
00:27:41.560 --> 00:27:44.400
So find something that students are
interested in.

debe5d04-5d2c-4b13-915a-e20fd7d1bb12-0
00:27:44.640 --> 00:27:46.520
There is lots of ways to do this.

ca0ff701-ccb5-4535-8dce-d4c44a3dd096-0
00:27:46.680 --> 00:27:51.320
One of the ways that I do this is to let
my students pick their own products.

468f4adb-37c4-4a2e-bd6b-d9375656a321-0
00:27:52.040 --> 00:27:56.200
So there's sort of there's,
there's guidelines and boundaries, right?

34b3a086-919d-4ba9-9f58-522950782612-0
00:27:56.200 --> 00:27:59.880
There's, there's only a,
a subset of things that I have skill in.

f3646a83-750c-4b81-b055-61666289f20e-0
00:28:00.160 --> 00:28:03.735
And so they know what I have skill in and
sometimes they mention things and I'm

f3646a83-750c-4b81-b055-61666289f20e-1
00:28:03.735 --> 00:28:05.880
like,
there is absolutely no way I can do that.

f225ee6d-22e6-4c05-b503-4f6c890e77f2-0
00:28:06.160 --> 00:28:09.480
Or they mention things and I say there's
absolutely no way we can pay for that.

a7316f0c-f90e-4b7d-8404-a51cc520dbdd-0
00:28:09.920 --> 00:28:15.320
But I like to give them a lot of freedom
in what they are going to be researching.

03cc0ae9-fece-450f-9c10-98f39992b7c7-0
00:28:15.920 --> 00:28:18.640
So I have a couple of students.

10a71bd7-3036-4dc9-8477-1c2edaaa16ba-0
00:28:18.640 --> 00:28:23.485
So I have one student right now and I've
had a couple of students in the past work

10a71bd7-3036-4dc9-8477-1c2edaaa16ba-1
00:28:23.485 --> 00:28:25.120
on this hydrocarbon project.

d78472c8-702f-4356-a592-31ff8da932ed-0
00:28:25.600 --> 00:28:29.681
So basically,
there's some microbes that we know can

d78472c8-702f-4356-a592-31ff8da932ed-1
00:28:29.681 --> 00:28:31.760
eat hydrocarbons like oils.

648d01d9-36a9-4626-b27f-0da000ff03ff-0
00:28:32.480 --> 00:28:38.202
They tend to be marine microbes that we
see in the water when there's oil spills,

648d01d9-36a9-4626-b27f-0da000ff03ff-1
00:28:38.202 --> 00:28:41.971
which is unfortunate,
but they're interested in this,

648d01d9-36a9-4626-b27f-0da000ff03ff-2
00:28:41.971 --> 00:28:47.136
and they're interested in trying to
figure out how to make these microbes

648d01d9-36a9-4626-b27f-0da000ff03ff-3
00:28:47.136 --> 00:28:49.160
more efficient at eating oil.

1cda31ae-0697-4ae1-9b97-ab825075c32f-0
00:28:50.280 --> 00:28:53.240
So that's one of the projects that's
actually running in my lab this semester.

d8585267-263c-4ae2-af00-26d40db71dec-0
00:28:55.200 --> 00:29:00.360
So this student was interested in
antibiotic resistance.

95ab7631-f30a-4db0-b825-df2252e753c0-0
00:29:01.000 --> 00:29:06.374
So I have another student in my lab right
now who's focused on antibiotic

95ab7631-f30a-4db0-b825-df2252e753c0-1
00:29:06.374 --> 00:29:10.005
resistance,
but this particular student wanted to

95ab7631-f30a-4db0-b825-df2252e753c0-2
00:29:10.005 --> 00:29:14.000
know if antibiotic resistant microbes
existed on corn.

a01b820a-739d-433b-80e6-f0f650d56c4e-0
00:29:15.080 --> 00:29:20.233
So if we think about corn, right,
we grow a lot of corn in the US We don't

a01b820a-739d-433b-80e6-f0f650d56c4e-1
00:29:20.233 --> 00:29:25.800
necessarily eat a significant amount of
what we grow, but we grow a lot of corn.

a6f8b966-3122-4f44-9478-de4e48171bc1-0
00:29:26.280 --> 00:29:30.785
And her question was, well,
when we're growing corn,

a6f8b966-3122-4f44-9478-de4e48171bc1-1
00:29:30.785 --> 00:29:35.800
are we ending up with the treatments
we're using on farms?

33a46a7a-2302-40c4-a658-20e17685f5bb-0
00:29:36.440 --> 00:29:39.120
Are we ending up with antibiotic
resistant microbes?

d0ec5e95-5312-4478-a31b-9f786c186869-0
00:29:40.120 --> 00:29:44.480
So she swabbed the outside of the corn,
the husk.

f419411f-d3c5-429f-b0d8-25fd249517c1-0
00:29:44.960 --> 00:29:47.760
She peeled down the husk and swabbed the
inside of the corn.

ea49fd3e-22d6-4c14-bf3e-8b2504c490bb-0
00:29:48.440 --> 00:29:53.998
And she did some general soil samples to
see, you know,

ea49fd3e-22d6-4c14-bf3e-8b2504c490bb-1
00:29:53.998 --> 00:29:59.160
what kinds of microbes grow,
how many of them grow?

ab7f6083-2d8e-4494-bc4b-dfffb75afd18-0
00:30:00.240 --> 00:30:02.760
Do different samples show different
microbes?

6016aac4-af79-4d96-8578-7223d6cbcefe-0
00:30:07.520 --> 00:30:11.880
I had another student who was interested
in gut bacteria.

4ac8e566-4e8f-4913-a77b-b1ed9af8a881-0
00:30:12.600 --> 00:30:16.440
Gut bacteria is not my thing,
but she was very excited about it.

2844f85d-2910-434e-8468-b9c8492ab686-0
00:30:16.680 --> 00:30:18.680
So we looked into gut bacteria.

a1d6b7e9-341f-47b8-a2e2-52cb8c54abb5-0
00:30:19.440 --> 00:30:23.821
So we know that there's some microbes
that are in your gut,

a1d6b7e9-341f-47b8-a2e2-52cb8c54abb5-1
00:30:23.821 --> 00:30:27.400
and some of them move from one place to
another.

f764075b-a10b-4837-86a1-8315c86319de-0
00:30:27.440 --> 00:30:29.600
Sometimes it's OK,
sometimes it's not great.

43498cbb-f1ff-4cc1-a784-551f67d35d4c-0
00:30:30.440 --> 00:30:36.147
But we also know that different parts of
your digestive system have different PHS,

43498cbb-f1ff-4cc1-a784-551f67d35d4c-1
00:30:36.147 --> 00:30:36.560
right?

b789ce62-ab11-4e5e-b8b3-05f8723344cb-0
00:30:37.280 --> 00:30:40.351
Your stomach pH is not the same as the
rest of your body's pH,

b789ce62-ab11-4e5e-b8b3-05f8723344cb-1
00:30:40.351 --> 00:30:41.960
because that would be really bad.

d0ea4074-8409-4597-8581-f968527fa081-0
00:30:43.200 --> 00:30:44.960
And your intestines have a different pH.

68e53a77-531d-43c2-aba4-2b0f29dded6e-0
00:30:45.760 --> 00:30:53.560
So she wanted to know how these microbes
adapted to the different PHS.

fd0ae618-b372-4488-bfad-66e7167f35d1-0
00:30:55.640 --> 00:30:59.724
So these are different types of projects
that my students have found really

fd0ae618-b372-4488-bfad-66e7167f35d1-1
00:30:59.724 --> 00:31:02.680
interesting and they've been able to
pursue in my lab.

859c416e-cc0e-4b28-ade4-e48a85eb1439-0
00:31:05.480 --> 00:31:11.529
So here are some of my students in my lab
space with their multi channel pipettes

859c416e-cc0e-4b28-ade4-e48a85eb1439-1
00:31:11.529 --> 00:31:17.283
doing Doctor Lorenzo's favorite thing,
which is pipetting bacteria onto Petri

859c416e-cc0e-4b28-ade4-e48a85eb1439-2
00:31:17.283 --> 00:31:17.800
dishes.

2e04adf9-84e6-4279-9478-3452df24b231-0
00:31:17.800 --> 00:31:18.560
I don't know.

a3d78301-247a-4d23-af2e-52a7844f9303-0
00:31:18.560 --> 00:31:20.760
I'm assuming it's your favorite thing
because it's not my favorite thing.

f4c015c0-1455-4ca8-ad01-8e863c3972a5-0
00:31:20.760 --> 00:31:22.360
So I'm giving it to you.

c0500f3a-c417-401c-ac34-86c32cdf15cc-0
00:31:22.560 --> 00:31:23.360
It's her favorite thing.

a263b57a-48c3-4c22-ade3-2381592346fc-0
00:31:25.920 --> 00:31:29.601
So I also mentioned creating
opportunities to see how different

a263b57a-48c3-4c22-ade3-2381592346fc-1
00:31:29.601 --> 00:31:31.040
information is connected.

04460539-1e40-4cf0-97a5-1c152b8abc35-0
00:31:33.600 --> 00:31:37.320
How many of you are interested in the
environment?

6733c087-2edd-467f-bdcc-fe33ae9b684b-0
00:31:40.040 --> 00:31:44.400
How many of you are interested in
organismal biology?

6cffded2-f3e4-473f-9a92-1431f4cd396d-0
00:31:44.400 --> 00:31:51.484
So multicellular things,
how many of you are interested in what

6cffded2-f3e4-473f-9a92-1431f4cd396d-1
00:31:51.484 --> 00:31:53.920
happens inside a cell?

cd0fe495-fd85-496f-8f5f-7865ad673a6a-0
00:31:58.480 --> 00:32:04.236
How many of you think that what happens
inside a cell and how the environment is

cd0fe495-fd85-496f-8f5f-7865ad673a6a-1
00:32:04.236 --> 00:32:10.063
functioning are deeply interconnected and
easy to make the connection between the

cd0fe495-fd85-496f-8f5f-7865ad673a6a-2
00:32:10.063 --> 00:32:12.480
two fewer of you, but some of you.

4a6e68aa-5981-4acc-8083-cbdb76db5f45-0
00:32:13.960 --> 00:32:20.455
So last fall I had the opportunity to
work with one of my colleagues who

4a6e68aa-5981-4acc-8083-cbdb76db5f45-1
00:32:20.455 --> 00:32:26.506
technically her background is Ornithology,
so she works with birds,

4a6e68aa-5981-4acc-8083-cbdb76db5f45-2
00:32:26.506 --> 00:32:32.201
but she teaches a lot of our
environmental biology and wildlife

4a6e68aa-5981-4acc-8083-cbdb76db5f45-3
00:32:32.201 --> 00:32:37.807
management classes,
which wildlife is generally multicellular,

4a6e68aa-5981-4acc-8083-cbdb76db5f45-4
00:32:37.807 --> 00:32:39.320
bacteria are not.

0fbb8b4a-0b89-4e33-853d-9cb8dc58c61c-0
00:32:39.800 --> 00:32:46.335
We are not in the same field,
but we did this really cool project where

0fbb8b4a-0b89-4e33-853d-9cb8dc58c61c-1
00:32:46.335 --> 00:32:53.778
students went out to her field sites and
they collected salamanders and frogs and

0fbb8b4a-0b89-4e33-853d-9cb8dc58c61c-2
00:32:53.778 --> 00:33:00.676
then we swabbed those salamanders and
frogs to look for particular microbes

0fbb8b4a-0b89-4e33-853d-9cb8dc58c61c-3
00:33:00.676 --> 00:33:03.399
that may be causing infection.

e0a3d211-7b22-47ce-80ee-57692a8c87f2-0
00:33:05.080 --> 00:33:11.405
So we had the ability to have students do
sort of their wildlife related tasks as

e0a3d211-7b22-47ce-80ee-57692a8c87f2-1
00:33:11.405 --> 00:33:17.731
well as some cellular and molecular tasks
to see how knowing both of those pieces

e0a3d211-7b22-47ce-80ee-57692a8c87f2-2
00:33:17.731 --> 00:33:23.748
of information or collaborating with
people so that you have that full set of

e0a3d211-7b22-47ce-80ee-57692a8c87f2-3
00:33:23.748 --> 00:33:27.760
information can allow you to answer some
questions.

45a77b77-0b7b-4cab-9a93-6b6013288238-0
00:33:28.400 --> 00:33:35.136
So there happens to be fungi that sticks
to salamanders and frogs skin,

45a77b77-0b7b-4cab-9a93-6b6013288238-1
00:33:35.136 --> 00:33:39.440
so it prevents them from breathing
basically.

9ef32c11-d67d-4d8b-b1be-7feadec20e46-0
00:33:39.920 --> 00:33:46.356
And one of those fungi has not been found
in the US but has been found in other

9ef32c11-d67d-4d8b-b1be-7feadec20e46-1
00:33:46.356 --> 00:33:46.920
places.

b0e7025a-1255-428a-810a-3329fbe8bead-0
00:33:47.560 --> 00:33:53.613
And so there's lots of people who are out
doing these swabs on salamanders just to

b0e7025a-1255-428a-810a-3329fbe8bead-1
00:33:53.613 --> 00:33:58.208
check to see has it arrived here yet,
which sounds depressing,

b0e7025a-1255-428a-810a-3329fbe8bead-2
00:33:58.208 --> 00:34:04.115
but the fact that we have people looking
that we can know about this early means

b0e7025a-1255-428a-810a-3329fbe8bead-3
00:34:04.115 --> 00:34:08.200
that we can figure out what we're going
to do about it.

22374df2-a730-4e1c-b14a-90936c0fe424-0
00:34:10.440 --> 00:34:13.440
So that was another project that I did
last fall.

964d12a3-fe2d-4893-af54-b97daaef2c7a-0
00:34:13.440 --> 00:34:15.760
It's a continual project,
but I started it last fall.

6274ab7a-6ec5-464a-8102-a4a263a8a6ff-0
00:34:17.800 --> 00:34:20.880
And then there's professional
demonstrating, professional understanding.

f37b8dde-c1bc-49a8-864c-a75889ad49ff-0
00:34:21.920 --> 00:34:27.983
So often times my students will present
their work, sometimes departmentally,

f37b8dde-c1bc-49a8-864c-a75889ad49ff-1
00:34:27.983 --> 00:34:33.658
sometimes outside the department,
so they all learn to make professional

f37b8dde-c1bc-49a8-864c-a75889ad49ff-2
00:34:33.658 --> 00:34:34.280
posters.

2d4305c8-fdfe-4c5c-924d-6fd94bd4fabd-0
00:34:35.640 --> 00:34:39.680
And sometimes my students will
participate in writing up their work.

c8956dc3-52d1-42e2-9c56-8658fbf1fbd7-0
00:34:40.320 --> 00:34:46.440
So this is a review of oxidative stress.

a8b7fa8d-7957-4ee3-a98a-15c782bb1cec-0
00:34:47.000 --> 00:34:51.760
So this is stress that cells experience
because of oxygen.

c69f9728-3c87-4cc8-8d8f-e6ff01ee933b-0
00:34:53.000 --> 00:34:58.312
And this review was written by several of
my students and several of Doctor

c69f9728-3c87-4cc8-8d8f-e6ff01ee933b-1
00:34:58.312 --> 00:34:59.640
Lorenzo's students.

de5eea00-0627-44e7-bded-a1336ed3e375-0
00:35:00.680 --> 00:35:05.760
We weren't really working in our lab
spaces because this was over COVID.

3ce4399e-fac3-42f6-a71c-4e1351de1244-0
00:35:06.080 --> 00:35:10.120
So while we were looking at everybody
through Zoom,

3ce4399e-fac3-42f6-a71c-4e1351de1244-1
00:35:10.120 --> 00:35:16.104
we were working on this paper and our
students have published this paper and

3ce4399e-fac3-42f6-a71c-4e1351de1244-2
00:35:16.104 --> 00:35:22.165
our students also have different set of
students also have another paper from

3ce4399e-fac3-42f6-a71c-4e1351de1244-3
00:35:22.165 --> 00:35:27.760
research that they've done that they have
recently got gotten accepted.

ee41b0bc-7cb7-4862-99d1-90115cc16474-0
00:35:28.880 --> 00:35:35.145
So I really want my students to have this
range of skills from understanding what

ee41b0bc-7cb7-4862-99d1-90115cc16474-1
00:35:35.145 --> 00:35:40.341
they're talking about to being able to
professionally portray their

ee41b0bc-7cb7-4862-99d1-90115cc16474-2
00:35:40.341 --> 00:35:46.072
understanding and to do things that
people are going to do in professional

ee41b0bc-7cb7-4862-99d1-90115cc16474-3
00:35:46.072 --> 00:35:46.759
settings.

d651136d-4c66-481d-bd6c-346f759ac9f0-0
00:35:47.120 --> 00:35:47.360
Right.

2aed5e96-2606-4ffa-be59-d15cccc0e461-0
00:35:47.360 --> 00:35:51.720
In professional settings,
we present posters, we give talks.

cc3f1405-734f-474d-8995-837f3c6c1f3a-0
00:35:52.240 --> 00:35:56.610
In professional settings, we write papers,
whether we enjoy it or not,

cc3f1405-734f-474d-8995-837f3c6c1f3a-1
00:35:56.610 --> 00:36:00.120
that's a different question,
but it's what we do, right?

78ec8810-1d25-4be8-83fe-9ee7481c3e10-0
00:36:00.120 --> 00:36:01.440
It's it's part of what we do.

25956d15-dc59-43d8-853f-56f7e42a56a8-0
00:36:01.800 --> 00:36:06.351
And so students having the opportunity to
practice doing this I think is really

25956d15-dc59-43d8-853f-56f7e42a56a8-1
00:36:06.351 --> 00:36:06.920
important.

34f5604a-e16e-4394-97c3-69c9b2a49a4a-0
00:36:09.640 --> 00:36:11.400
All right,
So what are my current projects?

1ad0899a-5fd6-4432-9bf3-5b74da6af6db-0
00:36:12.080 --> 00:36:17.099
So this is a continuation of the project
that I had just mentioned had been

1ad0899a-5fd6-4432-9bf3-5b74da6af6db-1
00:36:17.099 --> 00:36:17.760
published.

e33bccf6-fcc0-4e30-862d-5093a7429527-0
00:36:18.040 --> 00:36:20.640
So this is a joint project with Doctor
Lorenzo.

86c6a298-e914-4c6c-9d0d-baac3f55bd28-0
00:36:21.080 --> 00:36:29.640
So we are looking at different drugs or
different medications.

cce58181-88fd-45db-82f2-7b4443d2cbe6-0
00:36:30.240 --> 00:36:39.757
So we're looking at anti inflammatories,
anti cancers and steroids to see how they

cce58181-88fd-45db-82f2-7b4443d2cbe6-1
00:36:39.757 --> 00:36:44.000
affect a particular type of mutation.

2d3d70d6-a1b2-4130-b1ee-bfc7d82df738-0
00:36:44.680 --> 00:36:47.440
So lots of different mutations can happen
in a cell.

d0270e2c-c053-457b-9aba-e4942708daba-0
00:36:47.760 --> 00:36:52.240
Doctor Lorenzo and I both actually came
out of ADNA damage lab.

02700d9e-be9d-4643-9d70-bd20fbad7b64-0
00:36:52.240 --> 00:36:55.387
So in grad school,
our lab focused on DNA damage and how

02700d9e-be9d-4643-9d70-bd20fbad7b64-1
00:36:55.387 --> 00:36:56.160
it's repaired.

88644b18-f987-402a-be20-23f3a3cfdcdc-0
00:36:56.880 --> 00:37:00.698
So we have significant background in this
and this is one of the projects that

88644b18-f987-402a-be20-23f3a3cfdcdc-1
00:37:00.698 --> 00:37:01.520
we're working on.

f67a2641-43b6-4c6a-a02a-ed5297a3f0f0-0
00:37:01.800 --> 00:37:04.200
So our students are looking at different
things.

61345835-b98c-4094-bfa1-d9f84ca30ab5-0
00:37:04.200 --> 00:37:09.271
So one of my students is really
interested in the steroids and a lot of

61345835-b98c-4094-bfa1-d9f84ca30ab5-1
00:37:09.271 --> 00:37:12.582
her students are looking at anti cancer
drugs,

61345835-b98c-4094-bfa1-d9f84ca30ab5-2
00:37:12.582 --> 00:37:15.400
but they're working on similar projects.

5fd546a0-c0b5-4c34-9c42-8e8917a9c5da-0
00:37:15.400 --> 00:37:19.190
And another set of professional skills,
right,

5fd546a0-c0b5-4c34-9c42-8e8917a9c5da-1
00:37:19.190 --> 00:37:25.561
is they have created their methods with
professional software so that they can

5fd546a0-c0b5-4c34-9c42-8e8917a9c5da-2
00:37:25.561 --> 00:37:30.400
create these images so they can do a
visual method section.

8548f699-0acd-453d-a3dc-165a4c7f7013-0
00:37:36.520 --> 00:37:45.109
Another current project I'm working on is
trying to determine if we can create

8548f699-0acd-453d-a3dc-165a4c7f7013-1
00:37:45.109 --> 00:37:54.133
textile dyes from bacteria easily in our
lab space and jointly then create sort of

8548f699-0acd-453d-a3dc-165a4c7f7013-2
00:37:54.133 --> 00:38:01.200
fashion pieces with the fashion design
and retailing department.

677621de-a1c4-48f8-8226-9011e72b0d69-0
00:38:01.680 --> 00:38:06.804
So that was wild and broad,
but basically when we dye fabric

677621de-a1c4-48f8-8226-9011e72b0d69-1
00:38:06.804 --> 00:38:10.920
commercially,
we tend to use a lot of petroleum,

677621de-a1c4-48f8-8226-9011e72b0d69-2
00:38:10.920 --> 00:38:16.296
we tend to use a lot of water,
and we often, and when I say we,

677621de-a1c4-48f8-8226-9011e72b0d69-3
00:38:16.296 --> 00:38:20.916
I mean humans,
we often then dump a lot of things into

677621de-a1c4-48f8-8226-9011e72b0d69-4
00:38:20.916 --> 00:38:23.520
waterways and contaminate them.

5fd3829a-80ec-4e12-865c-f9ef2b48db96-0
00:38:24.440 --> 00:38:30.204
So people have been looking for better
ways to try to dye fabrics that are

5fd3829a-80ec-4e12-865c-f9ef2b48db96-1
00:38:30.204 --> 00:38:32.280
better for the environment.

811aaab6-3a1e-4aa3-8290-1c50e798ed26-0
00:38:32.680 --> 00:38:39.031
And one of those ways is using plant dyes,
and another way is to use pigments from

811aaab6-3a1e-4aa3-8290-1c50e798ed26-1
00:38:39.031 --> 00:38:39.720
bacteria.

528296a8-2ff2-4e79-9d57-a93aee45b578-0
00:38:41.040 --> 00:38:44.978
So one of my students, really,
so I talk about this in my microbiology

528296a8-2ff2-4e79-9d57-a93aee45b578-1
00:38:44.978 --> 00:38:47.697
class,
and one of my students in my microbiology

528296a8-2ff2-4e79-9d57-a93aee45b578-2
00:38:47.697 --> 00:38:52.080
class was really excited about this
project and she wanted to move it forward.

d449a48c-d6e7-43c2-955f-e63393df3293-0
00:38:52.800 --> 00:38:55.440
So this semester she is working on this
project.

90dc6427-8b75-4105-9320-698841c5f0f3-0
00:38:55.720 --> 00:39:01.655
She's trying to figure out exactly which
microbes make which kinds of pigments,

90dc6427-8b75-4105-9320-698841c5f0f3-1
00:39:01.655 --> 00:39:05.216
which pigments would be best for dyeing
fabric,

90dc6427-8b75-4105-9320-698841c5f0f3-2
00:39:05.216 --> 00:39:10.483
and if she can figure out how to ensure
that the fabric is, I'm sorry,

90dc6427-8b75-4105-9320-698841c5f0f3-3
00:39:10.483 --> 00:39:13.079
that the dye is colour safe, right?

14616cb6-72bc-42ad-9c1d-313734cb8b7c-0
00:39:13.080 --> 00:39:16.520
So that it doesn't fade, it dies well,
it doesn't wash out.

591df08a-e7e0-48e6-ade5-b90a470de1d1-0
00:39:17.200 --> 00:39:20.517
And then hopefully we're going to be able
to talk to some people in our fashion

591df08a-e7e0-48e6-ade5-b90a470de1d1-1
00:39:20.517 --> 00:39:21.720
design and retail department.

11ae7dce-3122-4cce-b371-5b545c231dbb-0
00:39:22.520 --> 00:39:30.920
So we have a department that focuses on
fashion design, retail and retail,

11ae7dce-3122-4cce-b371-5b545c231dbb-1
00:39:30.920 --> 00:39:34.280
fashion design, merchandising.

f5ac1ba3-9c35-4b29-84ba-f0c1c21a9bbf-0
00:39:34.760 --> 00:39:35.440
That was the other one.

cb7cf975-868f-4837-8d8f-07b578b87331-0
00:39:36.160 --> 00:39:41.096
And we have lots of students in those
majors that create their own fashion and

cb7cf975-868f-4837-8d8f-07b578b87331-1
00:39:41.096 --> 00:39:44.907
have this really big,
really cool fashion show at the end of

cb7cf975-868f-4837-8d8f-07b578b87331-2
00:39:44.907 --> 00:39:45.720
the semester.

6f6699cf-1ec4-48af-bf4b-f77d03a2c4e1-0
00:39:46.160 --> 00:39:50.880
So one of the things that we're
interested in doing is trying to see if

6f6699cf-1ec4-48af-bf4b-f77d03a2c4e1-1
00:39:50.880 --> 00:39:55.928
we can sort of make this tie across
different fields of having some students

6f6699cf-1ec4-48af-bf4b-f77d03a2c4e1-2
00:39:55.928 --> 00:39:59.599
work in the lab to create these dyes and
to dye fabric.

2ba91d94-8dbb-43de-8b0b-ed90005fbbdd-0
00:40:00.000 --> 00:40:05.511
Other students checking to see how the
fabric is dyed and if that dyeing process

2ba91d94-8dbb-43de-8b0b-ed90005fbbdd-1
00:40:05.511 --> 00:40:05.920
works.

3c00a7f9-b471-4ae4-95c3-7749394f8212-0
00:40:06.040 --> 00:40:11.477
And then other students determining how
they can use those fabrics in order to

3c00a7f9-b471-4ae4-95c3-7749394f8212-1
00:40:11.477 --> 00:40:15.400
create really interesting and creative
microbial driven.

9a5e054d-8eab-45dc-8ec4-898618ae8f23-0
00:40:15.960 --> 00:40:16.600
Fashions.

5b7d901e-df85-45b5-a3c5-2308520ead59-0
00:40:19.880 --> 00:40:30.813
So your faculty at all these state
institutions are really excited about

5b7d901e-df85-45b5-a3c5-2308520ead59-1
00:40:30.813 --> 00:40:32.760
what they do.

bb9f34a9-16e5-4c50-b961-65c5e63f9f0d-0
00:40:33.520 --> 00:40:35.784
They're really excited about their
research,

bb9f34a9-16e5-4c50-b961-65c5e63f9f0d-1
00:40:35.784 --> 00:40:37.998
They're really excited about your
research,

bb9f34a9-16e5-4c50-b961-65c5e63f9f0d-2
00:40:37.998 --> 00:40:39.759
and they want you to be successful.

a27491b3-5ce2-4e3b-bb4e-195eb0be5c32-0
00:40:44.320 --> 00:40:47.280
So I've talked a lot about things I like
to do.

961503e1-d5dc-4449-8832-d9be938adb58-0
00:40:48.320 --> 00:40:55.303
I talked a lot about how I try to mentor
my students and things that are

961503e1-d5dc-4449-8832-d9be938adb58-1
00:40:55.303 --> 00:40:59.800
beneficial for students, like research,
right?

21d24f85-273e-4af1-a307-6366682afe4e-0
00:40:59.800 --> 00:41:01.920
And you can get research in lots of
different ways.

1fd3a6f6-256a-41d5-8b72-392d22c1a5df-0
00:41:02.320 --> 00:41:05.320
You can research with your faculty
members here.

bcb55413-aaab-4cd5-bcd2-a339ce12a941-0
00:41:05.960 --> 00:41:09.280
You can do research at other institutions,
right?

48d9f4a9-6bb2-492a-b248-04d6188091ca-0
00:41:09.280 --> 00:41:11.800
There are summer research programs.

545d2064-c08d-4aad-8e91-0fc10695b2ff-0
00:41:12.120 --> 00:41:17.030
There are faculty who at other
institutions who are looking for part

545d2064-c08d-4aad-8e91-0fc10695b2ff-1
00:41:17.030 --> 00:41:18.240
time technicians.

060701a7-d7b3-4948-8a62-b7da71067e55-0
00:41:18.600 --> 00:41:20.160
There are internships.

e2e78faa-0236-4314-8eaf-0bca719f66a2-0
00:41:20.480 --> 00:41:23.680
All of these things are going to give you
research experience.

2c358a9d-4472-43c5-bc63-2ca51977aff0-0
00:41:24.080 --> 00:41:28.986
And as I mentioned before,
research experience and having a research

2c358a9d-4472-43c5-bc63-2ca51977aff0-1
00:41:28.986 --> 00:41:32.400
mentor is shown to help students be
successful.

73ff58df-6094-4a4c-aee5-900c10d9bf29-0
00:41:34.560 --> 00:41:36.480
And with that, I'm done.

77af527b-e8bb-4c02-bab6-c223557df5f1-0
00:41:37.240 --> 00:41:37.800
Thank you all.

f713284e-15dc-4928-aa7b-36be6a990623-0
00:41:44.560 --> 00:41:48.460
I just want to say like your,
your mission to connecting with, you know,

f713284e-15dc-4928-aa7b-36be6a990623-1
00:41:48.460 --> 00:41:52.200
your privileged students to mentorship,
like particularly undergrads.

2547321b-cb92-408f-95a7-4abd992ff8d0-0
00:41:52.320 --> 00:41:55.505
I just want to say I have so much respect
for that because the difference you're

2547321b-cb92-408f-95a7-4abd992ff8d0-1
00:41:55.505 --> 00:41:57.353
making,
like just because a lot of these kids,

2547321b-cb92-408f-95a7-4abd992ff8d0-2
00:41:57.353 --> 00:42:00.303
they come in and they feel like they
don't belong and for you to like give

2547321b-cb92-408f-95a7-4abd992ff8d0-3
00:42:00.303 --> 00:42:01.680
them that feeling that they belong.

65afc686-600f-4482-80ec-a38e9646ffc8-0
00:42:01.680 --> 00:42:03.280
I just have like so much respect for that.

41d90302-bea8-42e4-b074-620dc6bcdccd-0
00:42:03.440 --> 00:42:03.840
Thank you.

2eb6a7a5-f793-4b23-8428-6b9630522607-0
00:42:03.920 --> 00:42:04.840
Like I'm a veteran.

c2a4b937-8beb-4aa1-ad1c-02f5efae70b2-0
00:42:05.160 --> 00:42:08.280
So I sort of we're kind of an overlooked
group as well.

df134703-e118-429c-8a58-18d8f32afc0f-0
00:42:08.720 --> 00:42:11.120
And a lot of times I felt like I didn't
want here.

7c811093-44f9-4d5d-bdc7-4a6839de1ab0-0
00:42:11.120 --> 00:42:12.680
I felt like I didn't have a mentor here.

bc376714-2fe0-4620-897d-358f9929316a-0
00:42:13.000 --> 00:42:17.394
And so I just,
I just wondered if you have like any

bc376714-2fe0-4620-897d-358f9929316a-1
00:42:17.394 --> 00:42:24.325
advice to me because I would love to kind
of maybe do some mentorship for veteran

bc376714-2fe0-4620-897d-358f9929316a-2
00:42:24.325 --> 00:42:28.466
students,
mentorship broadly for for students or

bc376714-2fe0-4620-897d-358f9929316a-3
00:42:28.466 --> 00:42:33.200
specifically here,
I guess under undergrads in general.

0265e6c5-7217-49c8-9e76-0280e5d7d1dc-0
00:42:33.520 --> 00:42:42.800
So I haven't had tons of veterans through
my courses.

08c62d6b-a4d9-45d3-adf9-c462a84c247c-0
00:42:42.800 --> 00:42:46.560
I have had several and a couple of them
were my advisees.

4c36014d-8e63-440b-b2da-1029289aab0a-0
00:42:46.840 --> 00:42:52.687
I will say that the Framingham,
at least I can definitely speak to,

4c36014d-8e63-440b-b2da-1029289aab0a-1
00:42:52.687 --> 00:42:59.222
works really hard to have sort of a place
that our veteran students can go,

4c36014d-8e63-440b-b2da-1029289aab0a-2
00:42:59.222 --> 00:43:05.758
a place that sort of can connect with
them and has somebody who can sort of

4c36014d-8e63-440b-b2da-1029289aab0a-3
00:43:05.758 --> 00:43:09.799
advise them outside of their academic
advisor.

bfd29cb0-a8a5-4737-9e25-2db0c2233bfb-0
00:43:10.520 --> 00:43:15.671
So I think places like that are probably
a really good place to start because they

bfd29cb0-a8a5-4737-9e25-2db0c2233bfb-1
00:43:15.671 --> 00:43:17.720
usually have contact information.

5cb8c39f-2e13-41cb-a919-830d8f951ded-0
00:43:18.680 --> 00:43:24.604
And I will say Framingham also does a
really good job of having groups set up

5cb8c39f-2e13-41cb-a919-830d8f951ded-1
00:43:24.604 --> 00:43:30.680
for students to be able to connect over
varying topics, that being one of them.

037a12a8-e4a4-457f-a54f-01e73a435ed3-0
00:43:31.840 --> 00:43:34.845
But I,
I completely agree that that there are

037a12a8-e4a4-457f-a54f-01e73a435ed3-1
00:43:34.845 --> 00:43:38.440
lots of populations that could benefit
from mentoring.

3c84f377-fe18-4de4-b964-788190a53881-0
00:43:38.720 --> 00:43:42.294
That is a population that I can
definitely mentor,

3c84f377-fe18-4de4-b964-788190a53881-1
00:43:42.294 --> 00:43:46.080
but not necessarily have similar
backgrounds as them.

2dc17087-07a8-45a1-aa7e-45c824e8cb33-0
00:43:47.400 --> 00:43:52.955
So I think that organizations and
programs like the Veterans Centre that we

2dc17087-07a8-45a1-aa7e-45c824e8cb33-1
00:43:52.955 --> 00:43:58.949
have at Framingham and other things like
that might be the best option to sort of

2dc17087-07a8-45a1-aa7e-45c824e8cb33-2
00:43:58.949 --> 00:44:04.651
connect with other other people who are
looking to both mentor undergrads and

2dc17087-07a8-45a1-aa7e-45c824e8cb33-3
00:44:04.651 --> 00:44:08.160
other undergrads at the particular
institution.

dc230f52-e745-4484-bca8-1df19a8c1626-0
00:44:15.480 --> 00:44:16.840
This room is so long.

aeca63ff-8711-4c7e-ba7d-98ec40c8b3a0-0
00:44:16.840 --> 00:44:24.960
It's just like run back and forth with
many students who are here listening.

ed9d0ac0-0fe5-4055-85cb-f29b11cc2a2a-0
00:44:24.960 --> 00:44:30.914
What about two characteristics that you
would say are ideal that students possess

ed9d0ac0-0fe5-4055-85cb-f29b11cc2a2a-1
00:44:30.914 --> 00:44:32.440
that makes you enjoy?

6e1ab3c1-6c80-4301-8648-47d30a810a11-0
00:44:35.360 --> 00:44:44.682
So I think that a lot of the students
that are coming through the Massachusetts

6e1ab3c1-6c80-4301-8648-47d30a810a11-1
00:44:44.682 --> 00:44:52.840
State institutions are really passionate
about achieving their goals.

f369a859-13af-4464-8f56-879817b86d2e-0
00:44:53.960 --> 00:44:57.717
They may not necessarily know exactly
what they need to do in order to achieve

f369a859-13af-4464-8f56-879817b86d2e-1
00:44:57.717 --> 00:45:00.191
their goals,
but they're really passionate and they

f369a859-13af-4464-8f56-879817b86d2e-2
00:45:00.191 --> 00:45:02.759
have reason for why they want to finish
their degree.

706cebd9-7203-414b-ac0e-96b1e87601cc-0
00:45:03.680 --> 00:45:09.986
And being able to help students find a
path to that particular outcome is one of

706cebd9-7203-414b-ac0e-96b1e87601cc-1
00:45:09.986 --> 00:45:12.400
the things that I really enjoy.

2b971e02-4791-4b90-8ba5-ee35ccc6ad14-0
00:45:14.600 --> 00:45:19.480
My students in particular are also just
very, very real.

6e943ae8-5cad-4665-8de9-7673689ed2c6-0
00:45:21.960 --> 00:45:24.975
They,
they are never going to tell me things

6e943ae8-5cad-4665-8de9-7673689ed2c6-1
00:45:24.975 --> 00:45:27.120
just 'cause I want to hear them.

5ab65286-ea14-4e79-8c08-8b9904cd65d8-0
00:45:27.760 --> 00:45:33.988
And when things go wrong, they're like,
yeah, so that happened or Yep,

5ab65286-ea14-4e79-8c08-8b9904cd65d8-1
00:45:33.988 --> 00:45:35.480
homework was due.

93807d66-7e56-47df-a01a-80f59a6e8122-0
00:45:35.720 --> 00:45:36.440
Didn't do it.

528ad9fe-7193-4048-bebb-071bc190488f-0
00:45:36.800 --> 00:45:39.040
I was busy, sorry.

3e0b8571-db5c-45ac-82d5-1fa800c7a7a0-0
00:45:39.920 --> 00:45:41.920
So I, I also really enjoy that.

c1dbe381-e124-431e-8184-f3eb30455f79-0
00:45:42.040 --> 00:45:46.040
So I think those are the two top things
that I thoroughly enjoy about the

c1dbe381-e124-431e-8184-f3eb30455f79-1
00:45:46.040 --> 00:45:46.960
students I teach.

1a1a60be-8c8b-4f02-a02c-8a4c132cde1e-0
00:45:52.480 --> 00:45:53.920
Nothing, nothing else.

2d9d64ed-da0e-4fd0-9295-fee8ee668d6d-0
00:45:54.480 --> 00:45:58.186
Oh,
you have a you have a question way on the

2d9d64ed-da0e-4fd0-9295-fee8ee668d6d-1
00:45:58.186 --> 00:46:00.040
other side of the room.

1fd6f122-8801-49f1-928f-18821ebf0b0a-0
00:46:00.480 --> 00:46:01.880
Way on the other side of the room.

9da12475-cfdb-40d6-bfb5-12805e095836-0
00:46:01.880 --> 00:46:09.920
Sorry for holding over.

c20f8631-2a83-4f05-b706-b701eb13f88b-0
00:46:10.560 --> 00:46:13.040
Thank you for such a wonderful talk and
hanging on talking.

8f8c4820-e236-4eec-89b9-895a05e5d05e-0
00:46:13.240 --> 00:46:17.765
Sarah, I just wanted to ask,
what do you think is an important step

8f8c4820-e236-4eec-89b9-895a05e5d05e-1
00:46:17.765 --> 00:46:23.022
especially just for any academic career
and society to make sure these kind of

8f8c4820-e236-4eec-89b9-895a05e5d05e-2
00:46:23.022 --> 00:46:27.414
connections of diversity,
every inclusion can be continued in the

8f8c4820-e236-4eec-89b9-895a05e5d05e-3
00:46:27.414 --> 00:46:28.080
workforce?

860459ef-b8c8-46aa-a3d2-5a3cce7e0538-0
00:46:31.800 --> 00:46:33.240
You may have to give me a hard question.

79cd2bc7-0c1c-41d7-8ac7-c1492d1c0567-0
00:46:38.160 --> 00:46:46.480
So I think a significant portion of the
science community realises that problem

79cd2bc7-0c1c-41d7-8ac7-c1492d1c0567-1
00:46:46.480 --> 00:46:55.008
solving is pretty high up on what we do
and that problem solving requires diverse

79cd2bc7-0c1c-41d7-8ac7-c1492d1c0567-2
00:46:55.008 --> 00:47:01.040
opinions and diverse perspectives in
order to do it well.

54a76131-65dd-41a2-96b4-b5afd11a2798-0
00:47:01.960 --> 00:47:05.758
So usually that's the angle that I come
at it from,

54a76131-65dd-41a2-96b4-b5afd11a2798-1
00:47:05.758 --> 00:47:11.601
is that when you have an and it's been
shown people have done research on this,

54a76131-65dd-41a2-96b4-b5afd11a2798-2
00:47:11.601 --> 00:47:12.040
right?

f82b8873-c980-4c99-abfd-ad7c64192b0f-0
00:47:12.040 --> 00:47:15.908
When you have a diverse group trying to
solve a problem,

f82b8873-c980-4c99-abfd-ad7c64192b0f-1
00:47:15.908 --> 00:47:21.474
you are better than when everybody in the
group has similar opinions and thoughts

f82b8873-c980-4c99-abfd-ad7c64192b0f-2
00:47:21.474 --> 00:47:22.560
and backgrounds.

7b92c67b-11cc-41ab-bf9c-519c3a962ed7-0
00:47:23.640 --> 00:47:31.392
So I think that making sure that you
spend time with people who don't have

7b92c67b-11cc-41ab-bf9c-519c3a962ed7-1
00:47:31.392 --> 00:47:38.525
similar backgrounds as you,
who look at things differently to ensure

7b92c67b-11cc-41ab-bf9c-519c3a962ed7-2
00:47:38.525 --> 00:47:46.898
that we are developing a broad science
population of broad science field so that

7b92c67b-11cc-41ab-bf9c-519c3a962ed7-3
00:47:46.898 --> 00:47:51.240
we can in fact solve problems effectively.