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DESCRIPTION:Presentation 1\n4 - A Team Science Community Toolkit: A Co-Deve
 loped Approach to Open Science Up to Community Organizations\n_Presented b
 y: Madison Hartstein\, Northwestern University\nAuthored by: Stephanie Sch
 mitz Bechteler\, Chicago Urban League\nKareem Butler\, Chicago Appleseed C
 enter for Fair Courts\nElyse Daly\, Northwestern University\nOntisar Freel
 ain\, Health Research and Awareness NFP\nJoanne Glenn\, W.O.T. Foundation
 \nArielle Guzmán\, Chicago Medical Organization for Latino Advancement\nMa
 dison Hartstein\, Northwestern University\nTessneem S. Hasan\, Northwester
 n University\nCandace Henley\, The Blue Hat Foundation\nTaLana Hughes\, Si
 ckle Cell Disease Association of Illinois\nAngela E. Jordan\, University o
 f South Alabama\nRana K. Mazzetta\, Northwestern University\nDavid A. Mosk
 owitz\, University of Chicago\nMegha A. Patel\, Northwestern University\nH
 eather J. Risser\, Northwestern University\nSheila Sanders. Northwestern U
 niversity\nBonnie Spring\, Northwestern University\nHéctor Torres\, Colibr
 i Counseling\nKimberly M. Williams\, Erie Family Health Centers_\n\nBackgr
 ound\nTo redress health disparities\, there is a need to extend the scope 
 and application of Team Science beyond the academic biomedical sciences to
  include other key domain experts: Community Organizations (COs).\n\nProbl
 em\nAlthough the importance of Community-Engaged Research (CER) has become
  well-recognized in theory\, in practice\, successful engagement in CER co
 ntinues to be thwarted by an absence of established bridges to practical p
 artnerships. Imbalances in power\, information\, and resources in CO and a
 cademic partnerships constrain the contribution of CO's voice and expertis
 e\; thereby impeding development of a shared mental model that incorporate
 s both scientific and real-world knowledge. \n\nActivities/Methods\nTo fac
 ilitate more insightful productive community-academic research partnership
 s\, we co-created the first\, public-facing Team Science Community Toolkit
 . We co-designed the toolkit with community partners to level the playing 
 field and reduce the hindrance of unfamiliarity with scientific jargon\, g
 rant finances\, and research methodology. It is intended to create a bridg
 e that invites citizen scientists from the community into the biomedical r
 esearch endeavor to better address persistent health disparities. During n
 eeds assessment qualitative interviews\, CO staff suggested that learning 
 more about how the research process works and having tools to support them
  throughout a scientific project could restore balance and provide greater
  agency for the CO.\n\nWe assembled a diverse project team of community an
 d academic partners to co-develop all content and tools. We utilized a com
 munity based participatory research (CBPR) approach\, grounded in the prin
 ciples of the Science of Team Science (SciTS) and User-Centered Design (UC
 D). The resulting toolkit includes templates\, checklists\, and interactiv
 e tools to support collaborative decision-making and communication. A real
 -world simulation takes users through the five stages of the research proc
 ess\, introduces all tools\, and provides context for their application.\n
 \nTo validate the concept\, content\, and usability of the toolkit\, we co
 nducted focus groups and usability testing with community experts outside 
 of the project team. Participants expressed pride and enthusiasm to contri
 bute\, “we can actually influence it to be what we need” and “I’ve seen a 
 lot of educational content that tries to be helpful\, useful\, and easy to
  use and this is the first one that I actually think is.”\n\nTo address co
 mmunity citizen scientists as full partners in the research effort\, we in
 tegrated the toolkit as a module in the existing open-access COALESCE (tea
 mscience.net) platform. Created to facilitate communication and research c
 ollaborations between scientists from different disciplines\, COALESCE’s m
 odules have been used by 50\,000+ individuals worldwide. Inclusion of the 
 community toolkit in the platform invites COs into the research discussion
  and exposes academic and community partners to each others’ mental models
 . This presentation will demonstrate how to use the new toolkit\, includin
 g some of its interactive components. Use-case applications will be descri
 bed\, and collaboration will be invited to evaluate the toolkit’s effectiv
 eness.\n\nConclusion\nThe Team Science Community Toolkit is designed to em
 power self-advocacy and increase equity for Community Organizations engagi
 ng in research with academic partners. Many of the tools can be downloaded
 \, customized\, and deployed to foster productive communication in communi
 ty-academic partnerships.\n\nPresentation 2\n23 - Developing Integration S
 kills in Convergent Engineering Teams\n_Presented by: Theresa Lant\, Pace 
 University\nAuthored by: Susan Day\, University of Louisville\nTheresa Lan
 t\, Pace University_\n\nOur research explores how engineering investigator
 s learn and apply integrative skills in larger\, multi-university converge
 nt engineering research programs including the non-technical components of
  collaboration. One of the challenges for engineering investigators\, with
  their high-consensus research disciplinarity\, is to understand standards
  of practice for low-consensus research domains like the social sciences(1
 ). Engineering research has generally thrived in the context of multidisci
 plinarity\, in a supply chain fashion\, across the fine fields of engineer
 ing with some lesser measure of system integration. However\, high impact 
 social science applications require a collaborative and comprehensive desi
 gn process for conceptualizing integrative strategies across subsystems. I
 n exceptional STEM education ecosystems in non-EPSCoR (2) states (e.g.\, S
 ilicon Valley/ Stanford\, Berkeley)\, through standards of practice develo
 ped to some degree through NSF funding\, (e.g.\, IGERT/ NRT/ IUSE 3) a col
 laborative process between social scientists and STEM investigators occurs
 . With successful NRT programming\, for example\, investigators have oppor
 tunities to engage in research that tests a theory of change in human beha
 vior across the non-technical components of research programs. In the low 
 consensus social sciences\, conceptualization of numerous program componen
 ts (i.e.\, DEIA across the innovation ecosystem\, designs for knowledge ma
 nagement\, curriculum\, and professional development\, etc.) allow for num
 erous configurations for tailoring evidenced-based models and practices to
  the policy subsystem in which the research is embedded. STEM investigator
 s who learn integrative skills are more likely to consistently apply theor
 ies of change across essential programmatic components\, learn cognitive f
 lexibility and maximizing impact.\n\nOur research question centers on how 
 engineers learn and apply integrative skills in convergent research progra
 ms. We have initial data using the NSF funded BRIDGES (4) survey from mult
 i-university engineering research teams through an on-going collaboration 
 with a collaborative robotics research institute funded in part through NS
 F EPSCoR funds. The BRIDGES survey measures the cognitive and social precu
 rsors to developing an integrative capacity (5). Through application of th
 is survey\, meeting transcripts\, and interviews over time during the evol
 ution of this project team\, we will conduct a longitudinal investigation 
 of how engineer investigators learn and apply integrative skills in conver
 gent research programs. The work we propose to present at INSCiTS 2023 wil
 l describe the initial conditions of the teams engaged in this multi-insti
 tution collaborative effort\, as demonstrated through survey responses\, i
 nterviews\, and meeting transcripts.\n\n	* Borrego\, M & Newswander\, L\, (
 2008) Characteristics of successful cross-disciplinary engineering educati
 on collaborations\, Journal of Engineering Education\, DOI: 10.1002/j.2168
 -9830.2008.tb00962.x\n 	* Established Program to Stimulate Competitive Rese
 arch (EPSCOR) https://new.nsf.gov/funding/initiatives/epscor\n 	* National 
 Science Foundation Research Traineeship Programs (NRT\, IGERT)\; https://n
 ew.nsf.gov/funding/opportunities/national-science-foundation-research-trai
 neeship https://new.nsf.gov/funding/opportunities/improving-undergraduate-
 stem-education-directorate (IUSE).\n 	* BRIDGES: Building Resources through
  Integrating Disciplines for Group Effectiveness in Science\, NSF SciSIP\,
  Award #1262754\, PIs: Lant\, T & Salazar\, M.\n 	* Salazar\, M.\, Lant\, T
 .\, Fiore\, S.\, & Salas\, E.\, (2012) Integrative Capacity: A New Perspec
 tive for Understanding Interdisciplinary Team Processes and Outcomes\,' Sm
 all Group Research. October 2012 vol. 43\, no. 5\; 527-558\n\nPresentation
  3\n27 - Evidence-based Longitudinal Assessment of Interprofessional Teamw
 ork: Assessing team experience in an educational context\n_Presented by: T
 ony Lingham\, Interaction Science\nAuthored by: Tony Lingham\, Interaction
  Science\nTyler Reimschisel\, Case Western Reserve University_\n\nWe descr
 ibe an interprofessional education (IPE) course in which 435 students in 7
 2 teams work on community-based projects while learning teamwork content a
 nd skills. Students were from the following programs: Dental Medicine (76)
 \, Genetic Counseling (8)\, Medicine (215)\, Nursing (311)\, Nutrition (1)
 \, Physician Assistant (34)\, Psychology (4)\, Social Work (58)\, and Spee
 ch-language pathology (8). A total of 40 sponsoring organizations with 83 
 community leaders (“champions”)\, 40 classroom instructors\, and 28 facult
 y. The student teams collaborated with the champions on authentic projects
  designed by the champions. We employed a longitudinal\, mixed-methods des
 ign to assess the experience of team interaction (i.e.\, pre-post design).
  Since the teams were embedded in a larger system\, we chose a 360-degree 
 assessment for the student teams. The team-level assessments focus on the 
 lived experience of interprofessional team members (internal to the team)\
 , the team’s assessment of their outcomes based on their perception of wor
 king together (internal to the team)\, and the assessment from the champio
 ns (external assessment). We used the Team Learning Inventory or TLI (a 36
 0 team-level assessment) together with a structured team coaching process 
 to provide evidence-based team development from Time 1 and Time 2. Team co
 aching was provided to each team immediately after Time 1. The TLI was sel
 ected as the assessment tool because for almost two decades the TLI combin
 ed with structured team coaching has shown strong validity\, reliability\,
  and robustness with teams across all levels of diverse organizations in d
 ifferent countries and cultures. Four major dimensions of the experience o
 f teamwork are assessed using the TLI:\n\n	* Diverging Dimension (5 aspects
 )\,\n 	* Converging Dimension (3 aspects)\;\n 	* Power and Influence Dimensi
 on\; and\n 	* Openness Dimension.\n\nBy forming partnerships among the educ
 ation\, practice\, and research communities\, this unique design for an IP
 E experience ensured that the IPE course focused on evidence-based team de
 velopment. Based on exploratory analysis from the first year of the course
 \, the teams that indicated in the goals and action steps of their coachin
 g session that they wanted to improve in specific dimensions and/or aspect
 s of team interaction showed improvements across all dimensions and/or asp
 ects that were indicated in the teams’ learning plans with a range from 3.
 1% - 36.9%\, including 33.8 % improving in the Power and Influence Dimensi
 on\, 36.9% improving in the Planning aspect of the Converging Dimension\, 
 and 30.8% improving in the Relationality aspect of the Diverging Dimension
 . Champions’ ratings from 10 questions (1-7 response rating) of their expe
 rience with the team had an average of 5.8 – 6.2 for each question (Time 1
 ) and 6.0 – 6.4 (Time 2) showing an improvement from the champions’ assess
 ments of their experience working with the teams post the team coaching. T
 he evidence of improvement in team interaction is promising as our focus i
 s to develop High-Impact Teams (HITs) demonstrated by the team’s internal 
 dynamics and functionality as well as the benefit the student team project
  has on the champion’s organization.\n\nPresentation 4\n34 - Interdiscipli
 nary Graduate Student Reflections on Transdisciplinary Team Science Traini
 ng\n_Presented by: Deborah DiazGranados\, Virginia Commonwealth University
 \nAuthored by: Deborah DiazGranados\, Virginia Commonwealth University\nSt
 ephen Fiore\, University of Central Florida\nTroy Hartley\, William & Mary
 _\n\nSolving today's most challenging societal problems requires innovativ
 e breakthroughs and novel solutions that transcend disciplines\, reaching 
 a deeper level of knowledge integration. However\, achieving such integrat
 ion through team science is challenging due to the lack of adequate traini
 ng. To address this\, methods from allied disciplines need to be adapted f
 or use in training future transdisciplinary researchers. This presentation
  discusses team science training focused on coastal resilience. It brings 
 together a multidisciplinary team of scholars focused on improving problem
  solving and teamwork in science.\n\nFirst\, a team of faculty coaches was
  recruited to guide a class of diverse doctoral and master's students from
  the natural and physical coastal\, marine and environmental sciences\, en
 gineering\, design\, and social and economic sciences. Second\, to develop
  and test different types of transdisciplinary pedagogies\, a series of wo
 rkshops was developed to train students on the fundamentals of team scienc
 e as well as collaborative knowledge building on complex transdisciplinary
  problems. We emphasized the development of conceptual models that are cap
 able of capturing system level problems as well as integrating diverse dis
 ciplinary perspectives. Third\, to foster individual and team learning\, a
 n intervention focusing on reflection in teamwork processes was used to en
 sure students monitor both the task of transdisciplinary problem solving\,
  as well as the teamwork processes engaged while collaborating.\n\nGraduat
 e students were introduced to the principles of team science\, collaborati
 ve problem solving\, and effective self-reflective tools and strategies. A
 dditionally\, students gained experience working with coastal community pa
 rtners (e.g.\, municipalities\, NGOs). As such\, this community-based clim
 ate-resilience project enabled students to practice team science research 
 and use reflective practices to improve their competencies with various st
 akeholders. Assessment of team processes\, along with reflections on teamw
 ork and taskwork\, were used to highlight areas of collaboration needing i
 mprovement.\n\nFor this presentation we first provide an overview of the p
 roject and follow this with results from the first cohort of graduate stud
 ent teams. In addition to attitudinal and knowledge based surveys\, team m
 embers also provided diary type reflections. We focus on these team reflec
 tions where they describe their experiences in collaborative knowledge bui
 lding and problem solving sessions. These reflections were based on prompt
 s designed to helps students consider their experience in teamwork and in 
 taskwork and what they found challenging. Additionally\, they reflected on
  what they learned about interdisciplinarity teamwork and taskwork. Analys
 es of reflections following their initial phases of collaboration showed t
 hat the students were initially challenged by the lack of awareness of tea
 m members expertise and knowledge from other disciplines. They were simila
 rly challenged by the scope of the work and temporal dynamics of the diffe
 rent research methods. Analyses of reflections following intense problem s
 olving sessions found that teams were gaining awareness of how to utilize 
 the diversity of disciplines while better understanding team roles. Additi
 onally\, they reported gaining an awareness of location-based taskwork and
  variations in timing of the work when tasks differed in scale. We discuss
  these and related findings and how the project evolved to better address 
 the team science training needs of the graduate students.
DTSTART:20230726T130000Z
DTEND:20230726T143000Z
LAST-MODIFIED:20260316T023631Z
LOCATION:Del Ray
SEQUENCE:0
STATUS:CONFIRMED
SUMMARY:Paper Session: Education & Training
TRANSP:OPAQUE
X-ALT-DESC;FMTTYPE=text/html:<p><strong><span style='text-decoration:underl
 ine\;'>Presentation 1</span><br />\n4 - A Team Science Community Toolkit: 
 A Co-Developed Approach to Open Science Up to Community Organizations</str
 ong><br /><em>Presented by: Madison Hartstein\, Northwestern University<br
  />\nAuthored by: Stephanie Schmitz Bechteler\, Chicago Urban League<br />
 \nKareem Butler\, Chicago Appleseed Center for Fair Courts<br />\nElyse Da
 ly\, Northwestern University<br />\nOntisar Freelain\, Health Research and
  Awareness NFP<br />\nJoanne Glenn\, W.O.T. Foundation<br />\nArielle Guzm
 án\, Chicago Medical Organization for Latino Advancement<br />\nMadison Ha
 rtstein\, Northwestern University<br />\nTessneem S. Hasan\, Northwestern 
 University<br />\nCandace Henley\, The Blue Hat Foundation<br />\nTaLana H
 ughes\, Sickle Cell Disease Association of Illinois<br />\nAngela E. Jorda
 n\, University of South Alabama<br />\nRana K. Mazzetta\, Northwestern Uni
 versity<br />\nDavid A. Moskowitz\, University of Chicago<br />\nMegha A. 
 Patel\, Northwestern University<br />\nHeather J. Risser\, Northwestern Un
 iversity<br />\nSheila Sanders. Northwestern University<br />\nBonnie Spri
 ng\, Northwestern University<br />\nHéctor Torres\, Colibri Counseling<br 
 />\nKimberly M. Williams\, Erie Family Health Centers</em><br /><br />\nBa
 ckground<br />\nTo redress health disparities\, there is a need to extend 
 the scope and application of Team Science beyond the academic biomedical s
 ciences to include other key domain experts: Community Organizations (COs)
 .<br /><br />\nProblem<br />\nAlthough the importance of Community-Engaged
  Research (CER) has become well-recognized in theory\, in practice\, succe
 ssful engagement in CER continues to be thwarted by an absence of establis
 hed bridges to practical partnerships. Imbalances in power\, information\,
  and resources in CO and academic partnerships constrain the contribution 
 of CO's voice and expertise\; thereby impeding development of a shared men
 tal model that incorporates both scientific and real-world knowledge. <br 
 /><br />\nActivities/Methods<br />\nTo facilitate more insightful producti
 ve community-academic research partnerships\, we co-created the first\, pu
 blic-facing Team Science Community Toolkit. We co-designed the toolkit wit
 h community partners to level the playing field and reduce the hindrance o
 f unfamiliarity with scientific jargon\, grant finances\, and research met
 hodology. It is intended to create a bridge that invites citizen scientist
 s from the community into the biomedical research endeavor to better addre
 ss persistent health disparities. During needs assessment qualitative inte
 rviews\, CO staff suggested that learning more about how the research proc
 ess works and having tools to support them throughout a scientific project
  could restore balance and provide greater agency for the CO.<br /><br />
 \nWe assembled a diverse project team of community and academic partners t
 o co-develop all content and tools. We utilized a community based particip
 atory research (CBPR) approach\, grounded in the principles of the Science
  of Team Science (SciTS) and User-Centered Design (UCD). The resulting too
 lkit includes templates\, checklists\, and interactive tools to support co
 llaborative decision-making and communication. A real-world simulation tak
 es users through the five stages of the research process\, introduces all 
 tools\, and provides context for their application.<br /><br />\nTo valida
 te the concept\, content\, and usability of the toolkit\, we conducted foc
 us groups and usability testing with community experts outside of the proj
 ect team. Participants expressed pride and enthusiasm to contribute\, “we 
 can actually influence it to be what we need” and “I’ve seen a lot of educ
 ational content that tries to be helpful\, useful\, and easy to use and th
 is is the first one that I actually think is.”<br /><br />\nTo address com
 munity citizen scientists as full partners in the research effort\, we int
 egrated the toolkit as a module in the existing open-access COALESCE (team
 science.net) platform. Created to facilitate communication and research co
 llaborations between scientists from different disciplines\, COALESCE’s mo
 dules have been used by 50\,000+ individuals worldwide. Inclusion of the c
 ommunity toolkit in the platform invites COs into the research discussion 
 and exposes academic and community partners to each others’ mental models.
  This presentation will demonstrate how to use the new toolkit\, including
  some of its interactive components. Use-case applications will be describ
 ed\, and collaboration will be invited to evaluate the toolkit’s effective
 ness.<br /><br />\nConclusion<br />\nThe Team Science Community Toolkit is
  designed to empower self-advocacy and increase equity for Community Organ
 izations engaging in research with academic partners. Many of the tools ca
 n be downloaded\, customized\, and deployed to foster productive communica
 tion in community-academic partnerships.</p>\n\n<p><br /><strong><span sty
 le='text-decoration:underline\;'>Presentation 2</span><br />\n23 - Develop
 ing Integration Skills in Convergent Engineering Teams</strong><br /><em>P
 resented by: Theresa Lant\, Pace University<br />\nAuthored by: Susan Day\
 , University of Louisville<br />\nTheresa Lant\, Pace University</em><br /
 ><br />\nOur research explores how engineering investigators learn and app
 ly integrative skills in larger\, multi-university convergent engineering 
 research programs including the non-technical components of collaboration.
  One of the challenges for engineering investigators\, with their high-con
 sensus research disciplinarity\, is to understand standards of practice fo
 r low-consensus research domains like the social sciences(1). Engineering 
 research has generally thrived in the context of multidisciplinarity\, in 
 a supply chain fashion\, across the fine fields of engineering with some l
 esser measure of system integration. However\, high impact social science 
 applications require a collaborative and comprehensive design process for 
 conceptualizing integrative strategies across subsystems. In exceptional S
 TEM education ecosystems in non-EPSCoR (2) states (e.g.\, Silicon Valley/ 
 Stanford\, Berkeley)\, through standards of practice developed to some deg
 ree through NSF funding\, (e.g.\, IGERT/ NRT/ IUSE 3) a collaborative proc
 ess between social scientists and STEM investigators occurs. With successf
 ul NRT programming\, for example\, investigators have opportunities to eng
 age in research that tests a theory of change in human behavior across the
  non-technical components of research programs. In the low consensus socia
 l sciences\, conceptualization of numerous program components (i.e.\, DEIA
  across the innovation ecosystem\, designs for knowledge management\, curr
 iculum\, and professional development\, etc.) allow for numerous configura
 tions for tailoring evidenced-based models and practices to the policy sub
 system in which the research is embedded. STEM investigators who learn int
 egrative skills are more likely to consistently apply theories of change a
 cross essential programmatic components\, learn cognitive flexibility and 
 maximizing impact.<br /><br />\nOur research question centers on how engin
 eers learn and apply integrative skills in convergent research programs. W
 e have initial data using the NSF funded BRIDGES (4) survey from multi-uni
 versity engineering research teams through an on-going collaboration with 
 a collaborative robotics research institute funded in part through NSF EPS
 CoR funds. The BRIDGES survey measures the cognitive and social precursors
  to developing an integrative capacity (5). Through application of this su
 rvey\, meeting transcripts\, and interviews over time during the evolution
  of this project team\, we will conduct a longitudinal investigation of ho
 w engineer investigators learn and apply integrative skills in convergent 
 research programs. The work we propose to present at INSCiTS 2023 will des
 cribe the initial conditions of the teams engaged in this multi-institutio
 n collaborative effort\, as demonstrated through survey responses\, interv
 iews\, and meeting transcripts.</p>\n\n<ol><li>Borrego\, M & Newswander\, 
 L\, (2008) Characteristics of successful cross-disciplinary engineering ed
 ucation collaborations\, Journal of Engineering Education\, DOI: 10.1002/j
 .2168-9830.2008.tb00962.x</li>\n	<li>Established Program to Stimulate Compe
 titive Research (EPSCOR) <a href='https://new.nsf.gov/funding/initiatives/
 epscor' target='_blank' rel='noreferrer noopener'>https://new.nsf.gov/fund
 ing/initiatives/epscor</a></li>\n	<li>National Science Foundation Research 
 Traineeship Programs (NRT\, IGERT)\; <a href='https://new.nsf.gov/funding/
 opportunities/national-science-foundation-research-traineeship' target='_b
 lank' rel='noreferrer noopener'>https://new.nsf.gov/funding/opportunities/
 national-science-foundation-research-traineeship</a> <a href='https://new.
 nsf.gov/funding/opportunities/improving-undergraduate-stem-education-direc
 torate' target='_blank' rel='noreferrer noopener'>https://new.nsf.gov/fund
 ing/opportunities/improving-undergraduate-stem-education-directorate</a> (
 IUSE).</li>\n	<li>BRIDGES: Building Resources through Integrating Disciplin
 es for Group Effectiveness in Science\, NSF SciSIP\, Award #1262754\, PIs:
  Lant\, T & Salazar\, M.</li>\n	<li>Salazar\, M.\, Lant\, T.\, Fiore\, S.\,
  & Salas\, E.\, (2012) Integrative Capacity: A New Perspective for Underst
 anding Interdisciplinary Team Processes and Outcomes\,' Small Group Resear
 ch. October 2012 vol. 43\, no. 5\; 527-558</li>\n</ol><p><br /><strong><sp
 an style='text-decoration:underline\;'>Presentation 3</span><br />\n27 - E
 vidence-based Longitudinal Assessment of Interprofessional Teamwork: Asses
 sing team experience in an educational context</strong><br /><em>Presented
  by: Tony Lingham\, Interaction Science<br />\nAuthored by: Tony Lingham\,
  Interaction Science<br />\nTyler Reimschisel\, Case Western Reserve Unive
 rsity</em><br /><br />\nWe describe an interprofessional education (IPE) c
 ourse in which 435 students in 72 teams work on community-based projects w
 hile learning teamwork content and skills. Students were from the followin
 g programs: Dental Medicine (76)\, Genetic Counseling (8)\, Medicine (215)
 \, Nursing (311)\, Nutrition (1)\, Physician Assistant (34)\, Psychology (
 4)\, Social Work (58)\, and Speech-language pathology (8). A total of 40 s
 ponsoring organizations with 83 community leaders (“champions”)\, 40 class
 room instructors\, and 28 faculty. The student teams collaborated with the
  champions on authentic projects designed by the champions. We employed a 
 longitudinal\, mixed-methods design to assess the experience of team inter
 action (i.e.\, pre-post design). Since the teams were embedded in a larger
  system\, we chose a 360-degree assessment for the student teams. The team
 -level assessments focus on the lived experience of interprofessional team
  members (internal to the team)\, the team’s assessment of their outcomes 
 based on their perception of working together (internal to the team)\, and
  the assessment from the champions (external assessment). We used the Team
  Learning Inventory or TLI (a 360 team-level assessment) together with a s
 tructured team coaching process to provide evidence-based team development
  from Time 1 and Time 2. Team coaching was provided to each team immediate
 ly after Time 1. The TLI was selected as the assessment tool because for a
 lmost two decades the TLI combined with structured team coaching has shown
  strong validity\, reliability\, and robustness with teams across all leve
 ls of diverse organizations in different countries and cultures. Four majo
 r dimensions of the experience of teamwork are assessed using the TLI:</p>
 \n\n<ol><li>Diverging Dimension (5 aspects)\,</li>\n	<li>Converging Dimensi
 on (3 aspects)\;</li>\n	<li>Power and Influence Dimension\; and</li>\n	<li>O
 penness Dimension.</li>\n</ol><p>By forming partnerships among the educati
 on\, practice\, and research communities\, this unique design for an IPE e
 xperience ensured that the IPE course focused on evidence-based team devel
 opment. Based on exploratory analysis from the first year of the course\, 
 the teams that indicated in the goals and action steps of their coaching s
 ession that they wanted to improve in specific dimensions and/or aspects o
 f team interaction showed improvements across all dimensions and/or aspect
 s that were indicated in the teams’ learning plans with a range from 3.1% 
 - 36.9%\, including 33.8 % improving in the Power and Influence Dimension\
 , 36.9% improving in the Planning aspect of the Converging Dimension\, and
  30.8% improving in the Relationality aspect of the Diverging Dimension. C
 hampions’ ratings from 10 questions (1-7 response rating) of their experie
 nce with the team had an average of 5.8 – 6.2 for each question (Time 1) a
 nd 6.0 – 6.4 (Time 2) showing an improvement from the champions’ assessmen
 ts of their experience working with the teams post the team coaching. The 
 evidence of improvement in team interaction is promising as our focus is t
 o develop High-Impact Teams (HITs) demonstrated by the team’s internal dyn
 amics and functionality as well as the benefit the student team project ha
 s on the champion’s organization.</p>\n\n<p><br /><strong><span style='tex
 t-decoration:underline\;'>Presentation 4</span><br />\n34 - Interdisciplin
 ary Graduate Student Reflections on Transdisciplinary Team Science Trainin
 g</strong><br /><em>Presented by: Deborah DiazGranados\, Virginia Commonwe
 alth University<br />\nAuthored by: Deborah DiazGranados\, Virginia Common
 wealth University<br />\nStephen Fiore\, University of Central Florida<br 
 />\nTroy Hartley\, William & Mary</em><br /><br />\nSolving today's most c
 hallenging societal problems requires innovative breakthroughs and novel s
 olutions that transcend disciplines\, reaching a deeper level of knowledge
  integration. However\, achieving such integration through team science is
  challenging due to the lack of adequate training. To address this\, metho
 ds from allied disciplines need to be adapted for use in training future t
 ransdisciplinary researchers. This presentation discusses team science tra
 ining focused on coastal resilience. It brings together a multidisciplinar
 y team of scholars focused on improving problem solving and teamwork in sc
 ience.<br /><br />\nFirst\, a team of faculty coaches was recruited to gui
 de a class of diverse doctoral and master's students from the natural and 
 physical coastal\, marine and environmental sciences\, engineering\, desig
 n\, and social and economic sciences. Second\, to develop and test differe
 nt types of transdisciplinary pedagogies\, a series of workshops was devel
 oped to train students on the fundamentals of team science as well as coll
 aborative knowledge building on complex transdisciplinary problems. We emp
 hasized the development of conceptual models that are capable of capturing
  system level problems as well as integrating diverse disciplinary perspec
 tives. Third\, to foster individual and team learning\, an intervention fo
 cusing on reflection in teamwork processes was used to ensure students mon
 itor both the task of transdisciplinary problem solving\, as well as the t
 eamwork processes engaged while collaborating.<br /><br />\nGraduate stude
 nts were introduced to the principles of team science\, collaborative prob
 lem solving\, and effective self-reflective tools and strategies. Addition
 ally\, students gained experience working with coastal community partners 
 (e.g.\, municipalities\, NGOs). As such\, this community-based climate-res
 ilience project enabled students to practice team science research and use
  reflective practices to improve their competencies with various stakehold
 ers. Assessment of team processes\, along with reflections on teamwork and
  taskwork\, were used to highlight areas of collaboration needing improvem
 ent.<br /><br />\nFor this presentation we first provide an overview of th
 e project and follow this with results from the first cohort of graduate s
 tudent teams. In addition to attitudinal and knowledge based surveys\, tea
 m members also provided diary type reflections. We focus on these team ref
 lections where they describe their experiences in collaborative knowledge 
 building and problem solving sessions. These reflections were based on pro
 mpts designed to helps students consider their experience in teamwork and 
 in taskwork and what they found challenging. Additionally\, they reflected
  on what they learned about interdisciplinarity teamwork and taskwork. Ana
 lyses of reflections following their initial phases of collaboration showe
 d that the students were initially challenged by the lack of awareness of 
 team members expertise and knowledge from other disciplines. They were sim
 ilarly challenged by the scope of the work and temporal dynamics of the di
 fferent research methods. Analyses of reflections following intense proble
 m solving sessions found that teams were gaining awareness of how to utili
 ze the diversity of disciplines while better understanding team roles. Add
 itionally\, they reported gaining an awareness of location-based taskwork 
 and variations in timing of the work when tasks differed in scale. We disc
 uss these and related findings and how the project evolved to better addre
 ss the team science training needs of the graduate students.</p>
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DESCRIPTION:Presentation 1\n4 - A Team Science Community Toolkit: A Co-Deve
 loped Approach to Open Science Up to Community Organizations\n_Presented b
 y: Madison Hartstein\, Northwestern University\nAuthored by: Stephanie Sch
 mitz Bechteler\, Chicago Urban League\nKareem Butler\, Chicago Appleseed C
 enter for Fair Courts\nElyse Daly\, Northwestern University\nOntisar Freel
 ain\, Health Research and Awareness NFP\nJoanne Glenn\, W.O.T. Foundation
 \nArielle Guzmán\, Chicago Medical Organization for Latino Advancement\nMa
 dison Hartstein\, Northwestern University\nTessneem S. Hasan\, Northwester
 n University\nCandace Henley\, The Blue Hat Foundation\nTaLana Hughes\, Si
 ckle Cell Disease Association of Illinois\nAngela E. Jordan\, University o
 f South Alabama\nRana K. Mazzetta\, Northwestern University\nDavid A. Mosk
 owitz\, University of Chicago\nMegha A. Patel\, Northwestern University\nH
 eather J. Risser\, Northwestern University\nSheila Sanders. Northwestern U
 niversity\nBonnie Spring\, Northwestern University\nHéctor Torres\, Colibr
 i Counseling\nKimberly M. Williams\, Erie Family Health Centers_\n\nBackgr
 ound\nTo redress health disparities\, there is a need to extend the scope 
 and application of Team Science beyond the academic biomedical sciences to
  include other key domain experts: Community Organizations (COs).\n\nProbl
 em\nAlthough the importance of Community-Engaged Research (CER) has become
  well-recognized in theory\, in practice\, successful engagement in CER co
 ntinues to be thwarted by an absence of established bridges to practical p
 artnerships. Imbalances in power\, information\, and resources in CO and a
 cademic partnerships constrain the contribution of CO's voice and expertis
 e\; thereby impeding development of a shared mental model that incorporate
 s both scientific and real-world knowledge. \n\nActivities/Methods\nTo fac
 ilitate more insightful productive community-academic research partnership
 s\, we co-created the first\, public-facing Team Science Community Toolkit
 . We co-designed the toolkit with community partners to level the playing 
 field and reduce the hindrance of unfamiliarity with scientific jargon\, g
 rant finances\, and research methodology. It is intended to create a bridg
 e that invites citizen scientists from the community into the biomedical r
 esearch endeavor to better address persistent health disparities. During n
 eeds assessment qualitative interviews\, CO staff suggested that learning 
 more about how the research process works and having tools to support them
  throughout a scientific project could restore balance and provide greater
  agency for the CO.\n\nWe assembled a diverse project team of community an
 d academic partners to co-develop all content and tools. We utilized a com
 munity based participatory research (CBPR) approach\, grounded in the prin
 ciples of the Science of Team Science (SciTS) and User-Centered Design (UC
 D). The resulting toolkit includes templates\, checklists\, and interactiv
 e tools to support collaborative decision-making and communication. A real
 -world simulation takes users through the five stages of the research proc
 ess\, introduces all tools\, and provides context for their application.\n
 \nTo validate the concept\, content\, and usability of the toolkit\, we co
 nducted focus groups and usability testing with community experts outside 
 of the project team. Participants expressed pride and enthusiasm to contri
 bute\, “we can actually influence it to be what we need” and “I’ve seen a 
 lot of educational content that tries to be helpful\, useful\, and easy to
  use and this is the first one that I actually think is.”\n\nTo address co
 mmunity citizen scientists as full partners in the research effort\, we in
 tegrated the toolkit as a module in the existing open-access COALESCE (tea
 mscience.net) platform. Created to facilitate communication and research c
 ollaborations between scientists from different disciplines\, COALESCE’s m
 odules have been used by 50\,000+ individuals worldwide. Inclusion of the 
 community toolkit in the platform invites COs into the research discussion
  and exposes academic and community partners to each others’ mental models
 . This presentation will demonstrate how to use the new toolkit\, includin
 g some of its interactive components. Use-case applications will be descri
 bed\, and collaboration will be invited to evaluate the toolkit’s effectiv
 eness.\n\nConclusion\nThe Team Science Community Toolkit is designed to em
 power self-advocacy and increase equity for Community Organizations engagi
 ng in research with academic partners. Many of the tools can be downloaded
 \, customized\, and deployed to foster productive communication in communi
 ty-academic partnerships.\n\nPresentation 2\n23 - Developing Integration S
 kills in Convergent Engineering Teams\n_Presented by: Theresa Lant\, Pace 
 University\nAuthored by: Susan Day\, University of Louisville\nTheresa Lan
 t\, Pace University_\n\nOur research explores how engineering investigator
 s learn and apply integrative skills in larger\, multi-university converge
 nt engineering research programs including the non-technical components of
  collaboration. One of the challenges for engineering investigators\, with
  their high-consensus research disciplinarity\, is to understand standards
  of practice for low-consensus research domains like the social sciences(1
 ). Engineering research has generally thrived in the context of multidisci
 plinarity\, in a supply chain fashion\, across the fine fields of engineer
 ing with some lesser measure of system integration. However\, high impact 
 social science applications require a collaborative and comprehensive desi
 gn process for conceptualizing integrative strategies across subsystems. I
 n exceptional STEM education ecosystems in non-EPSCoR (2) states (e.g.\, S
 ilicon Valley/ Stanford\, Berkeley)\, through standards of practice develo
 ped to some degree through NSF funding\, (e.g.\, IGERT/ NRT/ IUSE 3) a col
 laborative process between social scientists and STEM investigators occurs
 . With successful NRT programming\, for example\, investigators have oppor
 tunities to engage in research that tests a theory of change in human beha
 vior across the non-technical components of research programs. In the low 
 consensus social sciences\, conceptualization of numerous program componen
 ts (i.e.\, DEIA across the innovation ecosystem\, designs for knowledge ma
 nagement\, curriculum\, and professional development\, etc.) allow for num
 erous configurations for tailoring evidenced-based models and practices to
  the policy subsystem in which the research is embedded. STEM investigator
 s who learn integrative skills are more likely to consistently apply theor
 ies of change across essential programmatic components\, learn cognitive f
 lexibility and maximizing impact.\n\nOur research question centers on how 
 engineers learn and apply integrative skills in convergent research progra
 ms. We have initial data using the NSF funded BRIDGES (4) survey from mult
 i-university engineering research teams through an on-going collaboration 
 with a collaborative robotics research institute funded in part through NS
 F EPSCoR funds. The BRIDGES survey measures the cognitive and social precu
 rsors to developing an integrative capacity (5). Through application of th
 is survey\, meeting transcripts\, and interviews over time during the evol
 ution of this project team\, we will conduct a longitudinal investigation 
 of how engineer investigators learn and apply integrative skills in conver
 gent research programs. The work we propose to present at INSCiTS 2023 wil
 l describe the initial conditions of the teams engaged in this multi-insti
 tution collaborative effort\, as demonstrated through survey responses\, i
 nterviews\, and meeting transcripts.\n\n	* Borrego\, M & Newswander\, L\, (
 2008) Characteristics of successful cross-disciplinary engineering educati
 on collaborations\, Journal of Engineering Education\, DOI: 10.1002/j.2168
 -9830.2008.tb00962.x\n 	* Established Program to Stimulate Competitive Rese
 arch (EPSCOR) https://new.nsf.gov/funding/initiatives/epscor\n 	* National 
 Science Foundation Research Traineeship Programs (NRT\, IGERT)\; https://n
 ew.nsf.gov/funding/opportunities/national-science-foundation-research-trai
 neeship https://new.nsf.gov/funding/opportunities/improving-undergraduate-
 stem-education-directorate (IUSE).\n 	* BRIDGES: Building Resources through
  Integrating Disciplines for Group Effectiveness in Science\, NSF SciSIP\,
  Award #1262754\, PIs: Lant\, T & Salazar\, M.\n 	* Salazar\, M.\, Lant\, T
 .\, Fiore\, S.\, & Salas\, E.\, (2012) Integrative Capacity: A New Perspec
 tive for Understanding Interdisciplinary Team Processes and Outcomes\,' Sm
 all Group Research. October 2012 vol. 43\, no. 5\; 527-558\n\nPresentation
  3\n27 - Evidence-based Longitudinal Assessment of Interprofessional Teamw
 ork: Assessing team experience in an educational context\n_Presented by: T
 ony Lingham\, Interaction Science\nAuthored by: Tony Lingham\, Interaction
  Science\nTyler Reimschisel\, Case Western Reserve University_\n\nWe descr
 ibe an interprofessional education (IPE) course in which 435 students in 7
 2 teams work on community-based projects while learning teamwork content a
 nd skills. Students were from the following programs: Dental Medicine (76)
 \, Genetic Counseling (8)\, Medicine (215)\, Nursing (311)\, Nutrition (1)
 \, Physician Assistant (34)\, Psychology (4)\, Social Work (58)\, and Spee
 ch-language pathology (8). A total of 40 sponsoring organizations with 83 
 community leaders (“champions”)\, 40 classroom instructors\, and 28 facult
 y. The student teams collaborated with the champions on authentic projects
  designed by the champions. We employed a longitudinal\, mixed-methods des
 ign to assess the experience of team interaction (i.e.\, pre-post design).
  Since the teams were embedded in a larger system\, we chose a 360-degree 
 assessment for the student teams. The team-level assessments focus on the 
 lived experience of interprofessional team members (internal to the team)\
 , the team’s assessment of their outcomes based on their perception of wor
 king together (internal to the team)\, and the assessment from the champio
 ns (external assessment). We used the Team Learning Inventory or TLI (a 36
 0 team-level assessment) together with a structured team coaching process 
 to provide evidence-based team development from Time 1 and Time 2. Team co
 aching was provided to each team immediately after Time 1. The TLI was sel
 ected as the assessment tool because for almost two decades the TLI combin
 ed with structured team coaching has shown strong validity\, reliability\,
  and robustness with teams across all levels of diverse organizations in d
 ifferent countries and cultures. Four major dimensions of the experience o
 f teamwork are assessed using the TLI:\n\n	* Diverging Dimension (5 aspects
 )\,\n 	* Converging Dimension (3 aspects)\;\n 	* Power and Influence Dimensi
 on\; and\n 	* Openness Dimension.\n\nBy forming partnerships among the educ
 ation\, practice\, and research communities\, this unique design for an IP
 E experience ensured that the IPE course focused on evidence-based team de
 velopment. Based on exploratory analysis from the first year of the course
 \, the teams that indicated in the goals and action steps of their coachin
 g session that they wanted to improve in specific dimensions and/or aspect
 s of team interaction showed improvements across all dimensions and/or asp
 ects that were indicated in the teams’ learning plans with a range from 3.
 1% - 36.9%\, including 33.8 % improving in the Power and Influence Dimensi
 on\, 36.9% improving in the Planning aspect of the Converging Dimension\, 
 and 30.8% improving in the Relationality aspect of the Diverging Dimension
 . Champions’ ratings from 10 questions (1-7 response rating) of their expe
 rience with the team had an average of 5.8 – 6.2 for each question (Time 1
 ) and 6.0 – 6.4 (Time 2) showing an improvement from the champions’ assess
 ments of their experience working with the teams post the team coaching. T
 he evidence of improvement in team interaction is promising as our focus i
 s to develop High-Impact Teams (HITs) demonstrated by the team’s internal 
 dynamics and functionality as well as the benefit the student team project
  has on the champion’s organization.\n\nPresentation 4\n34 - Interdiscipli
 nary Graduate Student Reflections on Transdisciplinary Team Science Traini
 ng\n_Presented by: Deborah DiazGranados\, Virginia Commonwealth University
 \nAuthored by: Deborah DiazGranados\, Virginia Commonwealth University\nSt
 ephen Fiore\, University of Central Florida\nTroy Hartley\, William & Mary
 _\n\nSolving today's most challenging societal problems requires innovativ
 e breakthroughs and novel solutions that transcend disciplines\, reaching 
 a deeper level of knowledge integration. However\, achieving such integrat
 ion through team science is challenging due to the lack of adequate traini
 ng. To address this\, methods from allied disciplines need to be adapted f
 or use in training future transdisciplinary researchers. This presentation
  discusses team science training focused on coastal resilience. It brings 
 together a multidisciplinary team of scholars focused on improving problem
  solving and teamwork in science.\n\nFirst\, a team of faculty coaches was
  recruited to guide a class of diverse doctoral and master's students from
  the natural and physical coastal\, marine and environmental sciences\, en
 gineering\, design\, and social and economic sciences. Second\, to develop
  and test different types of transdisciplinary pedagogies\, a series of wo
 rkshops was developed to train students on the fundamentals of team scienc
 e as well as collaborative knowledge building on complex transdisciplinary
  problems. We emphasized the development of conceptual models that are cap
 able of capturing system level problems as well as integrating diverse dis
 ciplinary perspectives. Third\, to foster individual and team learning\, a
 n intervention focusing on reflection in teamwork processes was used to en
 sure students monitor both the task of transdisciplinary problem solving\,
  as well as the teamwork processes engaged while collaborating.\n\nGraduat
 e students were introduced to the principles of team science\, collaborati
 ve problem solving\, and effective self-reflective tools and strategies. A
 dditionally\, students gained experience working with coastal community pa
 rtners (e.g.\, municipalities\, NGOs). As such\, this community-based clim
 ate-resilience project enabled students to practice team science research 
 and use reflective practices to improve their competencies with various st
 akeholders. Assessment of team processes\, along with reflections on teamw
 ork and taskwork\, were used to highlight areas of collaboration needing i
 mprovement.\n\nFor this presentation we first provide an overview of the p
 roject and follow this with results from the first cohort of graduate stud
 ent teams. In addition to attitudinal and knowledge based surveys\, team m
 embers also provided diary type reflections. We focus on these team reflec
 tions where they describe their experiences in collaborative knowledge bui
 lding and problem solving sessions. These reflections were based on prompt
 s designed to helps students consider their experience in teamwork and in 
 taskwork and what they found challenging. Additionally\, they reflected on
  what they learned about interdisciplinarity teamwork and taskwork. Analys
 es of reflections following their initial phases of collaboration showed t
 hat the students were initially challenged by the lack of awareness of tea
 m members expertise and knowledge from other disciplines. They were simila
 rly challenged by the scope of the work and temporal dynamics of the diffe
 rent research methods. Analyses of reflections following intense problem s
 olving sessions found that teams were gaining awareness of how to utilize 
 the diversity of disciplines while better understanding team roles. Additi
 onally\, they reported gaining an awareness of location-based taskwork and
  variations in timing of the work when tasks differed in scale. We discuss
  these and related findings and how the project evolved to better address 
 the team science training needs of the graduate students.
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