SIAM—Colombia MMC: A Challenge-Based Math Modeling Learning Strategy

The math modeling challenge CoSIAM is a competition based on interdisciplinary collaborative work challenges. This research seeks to demonstrate the value of this type of challenge-based competition as a learning strategy outside the classroom. Based on data, we conducted a qualitative study on the perception of the participants in the last three versions of the mathematical modeling challenge, in terms of the learning achieved, the benefits of their participation, the knowledge and skills they brought into play, and the change in their conception of modeling. The participants were undergraduate and graduate students in mathematics and other areas, from several Colombian and Mexican universities. The research yielded results in three directions. The first is related to the advantages and limitations of teamwork, the second explores the learning that arises from this experience, and the third is oriented to the disciplinary knowledge mobilized for the solution of this type of problematic situation. The study allowed concluding, among other issues, that learning based on interdisciplinary problem solving, formulated from a global perspective, enhances the acquisition of valuable skills for the participants.

A cross-campus professional development program strengthens graduate student leadership in environmental problem-solving

The growing urgency of environmental concerns around the world highlights the need to equip rising scientists with high-impact leadership and communication skills in order to effectively engage in interdisciplinary problem-solving. However, opportunities for authentic interdisciplinary professional development training for student scientists are not extensively available within single-institution programs. This study evaluates the impact of the Monterey Area Research Institutions’ Network for Education (MARINE), a regional cross-campus professional development program aimed at preparing graduate students for interdisciplinary leadership positions in environmental problem-solving. An online survey was conducted to evaluate students’ perceptions of whether MARINE effectively enhanced leadership, improved collaborative relationships, and prepared students for interdisciplinary environmental problem-solving. Overall, MARINE participants emphasized practical skill development, exposure to careers outside of academia, and interinstitutional networking as the most valued outcomes of the cross-campus professional development program. Based on survey results and the demonstrated practices of MARINE, we recommend a set of 4 key design principles for institutions to consider when creating future cross-campus professional development programs: (1) a student-led governance framework to ensure that the program’s focus is centered on topics and issues that participants find most relevant, (2) event planning committees that engage the larger pool of graduate students from across the network in authentic leadership, (3) professional development opportunities focused on interactive forms of activity, and (4) an annual colloquium for students to apply their training in leadership and interdisciplinary communication. Greater application of these practices and principles in cross-campus programs may present new opportunities for preparing rising leaders to take an active role in interdisciplinary problem-solving.

Breaking Boundaries

According to the World Economic Forum 2020, some of the most critical skills needed to thrive in the future economy will be the ability to collaborate in multidisciplinary teams, build diverse networks, and be human-centered problem solvers. However, many university students have limited exposure to interdisciplinary problem solving, and tend to build connections within their bubbles (socioeconomic level, college, the field of study).In this study, we’ll review Innovate NYC (iNYC), an extracurricular program addressing these skills gaps. In three cohorts between 2016-18, 50 students from 12 New York City colleges, collaborated in multidisciplinary teams to solve real-world problems using innovation methods like HCD (Human Centred Design) and lean business strategies. The challenges were provided by partners like NYCEDC (NYC Economic Development Corporation) and other locally focused non-profits. However, did the program achieve what it set out to do and how might we apply the learning? In this study we aim to: 1. assess the strength and diversity of social connections between former iNYC participants, 2. identify any effect the program may have had on their career pathways, and 3. assess their continued use of innovation methods. To do this, we will examine the structure and delivery of the program, as well as review qualitative exit surveys and longitudinal survey results.

A Case Study for Supply Chain Management Using System Dynamics

System dynamics is an interdisciplinary problem-solving methodology that utilizes several significant thinking skills such as dynamic thinking and cause-and-effect thinking. System dynamics is a disciplined collaborative approach that could accelerate learning by combining a multifaceted perspective that provides insight into complex and interactive issues. System dynamics is designed to model, analyze, and improve socio-economic and administrative systems using a feedback perspective. Dynamic structured administrative problems are modeled by mathematical equations and using computer software. Dynamic constructions of model variables are obtained using computer simulations. In this chapter, a system dynamics model will be developed for supply chain management. The case study will be developed using VENSIM package program.

System Dynamics Modelling for Analyzing CO2 Emissions

System dynamics is an interdisciplinary problem-solving methodology that utilizes several significant thinking skills such as dynamic thinking and cause-and-effect thinking. System dynamics is a disciplined collaborative approach that could accelerate learning by combining a multifaceted perspective that provides insight into complex and interactive issues. This chapter aims to develop a system dynamic model. The amount of CO2 oscillations were investigated from the production of electrical energy depending on the rate of population growth up 2030. Model results, which are developed using Vensim package program, have been observed related to the variables of the adaptations.