Research
Research areas
UP ISC has three divisions that oversee pluridisciplinary research in fields that contribute to intelligent systems:
Data science;
Artificial intelligence; and
Complex systems and complexity science.
The Center supports research on the application of intelligent systems on current and timely areas related to sustainable socioeconomic development, including (but not limited to):
Education
Climate change
Employment and services
Poverty
Creative sector, cultural industries, and digital humanities
Disaster risk reduction and management
Health and medical sciences
Supply chain and logistics
Transportation
Cybersecurity
Policy
Diplomacy
Research expertise
UP Intelligent Systems Center draws from the expertise of its community of Affiliates, Fellows, and Administrators.
Research programming
Read about UP ISC research grants.
Reading list
If you are new to these intelligent systems, we've assembled a reading list to introduce you to relevant learning and research materials.
Complexity science and complex systems
Journal articles
Chen, W., Huang, H., Liao, S., Gao, F., & Biljecki, F. (2024). Global urban road network patterns: Unveiling multiscale planning paradigms of 144 cities with a novel deep learning approach. Landscape and Urban Planning, 241, 104901.
Gentili, P. L. (2021). Why is Complexity Science valuable for reaching the goals of the UN 2030 Agenda? Rendiconti Lincei. Scienze Fisiche E Naturali, 32(1), 117–134.
Masoudi-Nejad, A., Bidkhori, G., Hosseini Ashtiani, S., Najafi, A., Bozorgmehr, J. H., & Wang, E. (2015). Cancer systems biology and modeling: Microscopic scale and multiscale approaches. Seminars in Cancer Biology, 30, 60–69.
Matheson, A. (2020). Health Inequality as a Large-Scale Outcome of Complex Social Systems: Lessons for Action on the Sustainable Development Goals. International Journal of Environmental Research and Public Health, 17(8), Article 8.
San Miguel, M. (2023). Frontiers in Complex Systems. Frontiers in Complex Systems, 1.
Books and book chapters
Boccara, N. (2010). Modeling Complex Systems. Springer New York. https://link.springer.com/10.1007/978-1-4419-6562-2
Gatzweiler, F. W., & Baumüller, H. (2014). Marginality—A Framework for Analyzing Causal Complexities of Poverty. In J. von Braun & F. W. Gatzweiler (Eds.), Marginality: Addressing the Nexus of Poverty, Exclusion and Ecology (pp. 27–40). Springer Netherlands.
Sayama, H. (2018). Complex Systems in a Nutshell. In Introduction to the Modeling and Analysis of Complex Systems. LibreTexts.
Other source materials
Introduction to Complexity (course), Santa Fe Institute
UP ISC Complexity Science Division Chair Dr. May Anne Mata's presentation from the 2024 Intelligent Systems Convention
Complexity Science_Dr. May Anne Mata.pdfData science
Topic Guide to Data Science, ScienceDirect
UP ISC Data Science Division Chair Dr. Vladimer Kobayashi's presentation from the 2024 Intelligent Systems Convention
Data Science_Dr. Vladimer Kobayashi.pdfArtificial intelligence
Topic Guide to Artificial Intelligence, ScienceDirect
UP ISC Artificial Intelligence Division Chair Dr. Rex Jalao's presentation from the 2024 Intelligent Systems Convention
Artificial Intelligence_Dr. Eugene Rex Jalao.pdfPluridisciplinarity
Interdisciplinarity and transdisciplinarity are fluid and contested terms within different research communities. At the UP ISC, we sometimes use “pluridisciplinary” to refer to all the different varieties of crossing-over and intersections of disciplines. There is no one single guide that we can offer for pluridisciplinary research; however, we can share some references that we have found helpful.
Reports
Baptista, B. V. (2021). SHAPE-ID Annotated Bibliography of Academic Literature on Inter- and Transdisciplinary Research and AHSS Integration. SHAPE-ID.
SHAPE-ID Consortium. (2021, June 10). Pathways to Interdisciplinary and Transdisciplinary Research: The SHAPE-ID Toolkit.
European Commission. (2014). FET - Living interdisciplinarity. European Commission.
Books
Callard, F., & Fitzgerald, D. (2015). Rethinking interdisciplinarity across the social sciences and neurosciences. Palgrave Macmillan.
Repko, A. F., & Szostak, R. (2021). Interdisciplinary research: Process and theory (Fourth edition). SAGE.
Creswell, J. W., & Creswell, J. D. (2018). Research design: Qualitative, quantitative, and mixed methods approaches (Fifth edition). SAGE.
Journal articles
Nissani, M. (1997). Ten cheers for interdisciplinarity: The case for interdisciplinary knowledge and research. The Social Science Journal, 34(2), 201–216.
Rebbeck, T. R., Paskett, E., & Sellers, T. A. (2010). Fostering Transdisciplinary Science. Cancer Epidemiology Biomarkers & Prevention, 19(5), 1149–1150.
Stokols, D. (2006). Toward a Science of Transdisciplinary Action Research. American Journal of Community Psychology, 38(1–2), 79–93.
Torre, I., Łucznik, K., Francis, K. B., Maranan, D. S., Loesche, F., Figueroa, R. B., Sakuta, A., & Zaksaite, G. (2020). Openness across disciplines: Reflecting on a multiple disciplinary summer school. In D. Conrad & P. Prinsloo (Eds.), Open(ing) Education: Theory and Practice. Brill.
Keep up to date by following our Zotero reading list or subscribing to the RSS feed.
Do you have resources that you would like to recommend? Contact us so we can add it to the collective reading list!
