Department: Civil and Environmental Engineering
Title: Postdoctoral Research Associate
Profile page: linkedin.com/in/danielbampoh/
Research Description: Building interdisciplinary evidence-bases and structured knowledge models and constructs for innovation and sustainable development cooperation.
- Construction of comprehensive of cross-sector partnership model of collaboration for international sustainable development challenges.
- Evidence-based typology of purpose-context relationships in business partnerships.
- Exploratory analysis of Knowledge-to-Practice gap in research translation processes.
- Development of natural language processing infrastructure for automated content analysis.
- Conceptual structure delineation of extant knowledge on building performance and innovation.
- Construction of documentation model for engagement processes in cross-sector partnerships for development cooperation.
- Conceptual structure delineation of extant knowledge on small-and-medium (SME) enterprises in emerging/developing economy systems.
- Partnership Capacity Theory (PCT): New interdisciplinary theory of systematic cross-sector collaboration involving private sector organizations in international development initiatives.
- Relationship management strategies for cross-sector engagement
- Purpose-Context models for international development challenges.
Keywords: sustainable development cooperation, systems science, automated content analysis, innovation science, Purpose-Context modeling, theory construct development, research translation, cross-sector collaborations, partnership process development
Publications: See CV at linkedin.com/in/danielbampoh/
Bio: Daniel has a PhD in Ecological Science and Engineering from the Natural Resources program at Purdue University. He specialized in quantitative and computational approaches to modeling and analyzing ecological systems. Daniel also has a master’s degree in civil and environmental engineering from Purdue, and before that, received Bachelor of Science degrees in Mathematics and Physics from DePauw University.
Daniel currently specializes in deploying computational and automated content analysis tools to extract and synthesize insights into conceptual constructions in vast knowledge domains. Daniel also applies this expertise to developing generalized, translational theories and innovation frameworks for applications in a variety of fields including collaboration efficacy models for international sustainable development and corporate partnership systems – Daniel’s work this arena to improve knowledge-to-practice gaps in research translation paradigms.