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With Mobility-as-a-Service platforms moving toward vertical service expansion, we propose a destination recommender system for Mobility-on-Demand (MOD) services that explicitly considers dynamic vehicle routing constraints as a form of a ``physical internet search engine''. It incorporates a routing algorithm to build vehicle routes and an upper confidence bound based algorithm for a generalized linear contextual bandit algorithm to identify alternatives which are acceptable to passengers. As a contextual bandit algorithm, the added context from the routing subproblem makes it unclear how effective learning is under such circumstances. We propose a new simulation experimental framework to evaluate the impact of adding the routing constraints to the destination recommender algorithm. The proposed algorithm is first tested on a 7 by 7 grid network and performs better than benchmarks that include random alternatives, selecting the highest rating, or selecting the destination with the smallest vehicle routing cost increase. The RecoMOD algorithm also reduces average increases in vehicle travel costs compared to using random or highest rating recommendation. Its application to Manhattan dataset with ratings for 1,012 destinations reveals that a higher customer arrival rate and faster vehicle speeds lead to better acceptance rates. While these two results sound contradictory, they provide important managerial insights for MOD operators. 

The CSSI 2019 workshop was held on October 28-29, 2019, in Austin, Texas. The main objectives of this workshop were to (1) understand the impact of the CSSI program on the community over the last 9 years, (2) engage workshop participants in identifying gaps and opportunities in the current CSSI landscape, (3) gather ideas on the cyberinfrastructure needs and expectations of the community with respect to the CSSI program, and (4) prepare a report summarizing the feedback gathered from the community that can inform the future solicitations of the CSSI program. The workshop participants included a diverse mix of researchers and practitioners from academia, industry, and national laboratories. The participants belonged to diverse domains such as quantum physics, computational biology, High Performance Computing (HPC), and library science. Almost 50% participants were from computer science domain and roughly 50% were from non-computer science domains. As per the self-reported statistics, roughly 27% of the participants were from the different underrepresented groups as defined by the National Science Foundation (NSF). The workshop brought together different stakeholders interested in provisioning sustainable cyberinfrastructure that can power discoveries impacting the various fields of science and technology and maintaining the nation's competitiveness in the areas such as scientific software, HPC, networking, cybersecurity, and data/information science. The workshop served as a venue for gathering the community-feedback on the current state of the CSSI program and its future directions. Before they arrived at the workshop, the participants were encouraged to take an online survey on the challenges that they face in using the current cyberinfrastructure and the importance of the CSSI program in enabling cutting-edge research. The workshop included 16 brain-storming sessions of one hour each. Additionally, the workshop program included 16 lightning talks and an extempore session. The information collected from the survey, brainstorming sessions, lightning talks, and the extempore session are summarized in this report and can potentially be useful for the NSF in formulating the future CSSI solicitations. The workshop fostered an environment in which the participants were encouraged to identify gaps and opportunities in the current cyberinfrastructure landscape, and develop thoughts for proposing new projects.