Find Academic Supervisors

• Human-Computer Interaction
• Usability Engineering
• User Experience
• +7 more

Rosa Lanzilotti is a Full Professor in the Department of Computer Science at the University of Bari Aldo Moro, Italy, where she has established herself as a leading researcher in Human-Computer Interaction (HCI) and Usability Engineering. As a core member of the IVU (Interaction Visualization Usability and UX) Laboratory, she coordinates research on Usability Engineering and UX practices, and Human-Centered Artificial Intelligence. With over 90 publications in top-tier journals and conferences, her work bridges academic research with practical applications in industry and public institutions. Dr. Lanzilotti earned her PhD in Computer Science from the University of Bari in May 2006. Her doctoral research developed the ELSE (e-Learning Systematic Evaluation) methodology, which combines inspection and usability testing to achieve more reliable results for evaluating e-learning systems. She also pioneered Pattern-Based inspection techniques that guide evaluators through detailed evaluation patterns. Her research spans multiple domains including educational technology, cultural heritage, healthcare, and smart environments. She has designed and evaluated numerous educational games for mobile devices and large multi-touch displays, resulting in a patent (n. 1401512, 2013) for a multimedia framework supporting site visits. Her work in End-User Development (EUD) explores how non-technical users can customize systems in healthcare and cultural heritage contexts through participatory design with domain experts. Recent publications (2019-2024) show increasing focus on integrating AI with human-centered design, privacy considerations in UX, and cybersecurity applications of HCI principles, particularly for public administration systems. As an active member of the Italian Working Group on Usability (GLU), she works to improve public administration websites and advocate for explicit usability requirements in ICT procurement. Her conference service includes Technical Program Co-Chair for INTERACT 2021 and various leadership roles in AVI, IEEE SMC, and womENcourage conferences. She teaches courses including 'Interacting with Intelligent Systems' (Master's level), 'Human-Computer Interaction for AI' (PhD level), and various undergraduate courses on Human-Machine Interaction at the University of Bari.

• Pavement Design and Analysis
• Pavement Condition Assessment and Management
• Asphalt Technology
• +4 more

Dr. Suresh Immanuel serves as the Associate Provost of Academic Partnerships and Dean of the College of Business and Engineering at the University of Evansville, while maintaining a tenured Professorship in Civil Engineering. He previously chaired the Department of Mechanical and Civil Engineering and held roles in university committees including Academic Services and General Education. A registered professional engineer, he has received notable awards such as the 2023 Eykamp Prize and multiple ASCE Reviewer accolades. His education includes a PhD in Civil Engineering from Auburn University (2007), an MS in Leadership from the University of Evansville (2020), and earlier degrees from Anna University, India. His expertise spans Pavement Design, Asphalt Technology, and Transportation Engineering. He actively contributes to ASCE committees and serves as an ABET program evaluator. Research focuses on pavement mechanics, geotechnical education, and transportation infrastructure. Recent work includes assessing teaching methodologies and student performance in engineering courses. He has authored/co-authored over 30 publications, emphasizing pedagogical innovation and infrastructure durability. Awards include the Eykamp Prize for institutional contributions, ICI Leadership Fellowship, and multiple fellowships. He has advised numerous educational initiatives and served as a university Ombudsperson, reflecting his commitment to academic governance and student welfare.

Rich WestView profile

Professor

• Real-time systems
• Embedded systems
• Operating systems
• +12 more

Rich West is a Professor in the Department of Computer Science at Boston University, with a secondary affiliation in Electrical and Computer Engineering. He joined BU in 2000 after earning his PhD from Georgia Tech. His research focuses on real-time and embedded systems, operating systems, and resource management, leading the development of the Quest real-time OS and its separation kernel, Quest-V. His work emphasizes safety, predictability, and efficiency in systems like IoT devices and automotive/avionics applications. Education: PhD, Computer Science, Georgia Institute of Technology (2000) MS, Computer Science, Georgia Institute of Technology (1998) MEng, Microelectronics and Software Engineering, University of Newcastle-upon-Tyne (1991) Research Interests: Rich's work spans real-time operating systems, embedded systems design, multicore resource management, kernel architecture, hardware-software co-design, and secure separation kernels. He emphasizes practical applications, such as autonomous drones, automotive systems, and IoT devices. His lab develops systems like Quest-V for predictable execution and FlyOS for drone avionics. Awards and Recognition: Outstanding Paper Award at ECRTS 2020 Best Student Paper Award at RTAS 2017 Nominated for Best Paper Award at EMSOFT 2021 Best Paper Award at RTAS 2022 (FlyOS) Advising and Labs: He advises numerous PhD/MSc students on real-time systems, embedded computing, and safety-critical software. His lab collaborates on projects like the Quest OS, ModelMap automotive frameworks, and drone control systems (FlyOS). He also leads the BOSS, RTCC, and iBench research groups.

Hongbin ZhanView profile

Professor

• Subsurface hydrology
• Environmental Geoscience
• Environmental fluid mechanics
• +4 more

Dr. Hongbin Zhan is a Professor of Geology & Geophysics at Texas A&M University, holding the Dudley J. Hughes '51 Chair. His research focuses on subsurface hydrology, environmental fluid mechanics, and geothermal energy. He teaches courses like Hydrogeology and Contaminant Hydrogeology. Dr. Zhan's work addresses groundwater flow, contaminant transport, and energy applications. Notable achievements include AAAS Fellowship (2023) and multiple awards for research and teaching. He advises numerous graduate students and has authored/co-authored over 200 publications. His lab explores topics such as aquifer thermal energy storage, qanat systems, and microplastic pollution. Education: PhD (1996) Hydrology/Hydrogeology, University of Nevada, Reno Affiliations: Energy Institute, Water Management & Hydrological Science Program Labs/Teams: Zhan Hydrogeology Research Group, Texas A&M Geosciences Research Interests: Non-Darcian flow in low-permeability media, coupled unsaturated-saturated systems, geothermal storage, and environmental remediation. Recent work includes studies on arsenic migration, carbon sequestration, and qanat discharge dynamics. Grants & Awards: Over 10 major awards including AAAS Fellowship, GSA Fellow, and Dean’s Research Awards. Active in funding from NSF and industry partnerships.

Utsav SadanaView profile

Assistant Professor

• Mathematical optimization
• Machine learning
• Game theory
• +5 more

Utsav Sadana is an Assistant Professor of Operations Research in the Department of Computer Science and Operations Research (DIRO) at the University of Montréal. He holds affiliations with IVADO, CIRRELT, and GERAD research centers. His academic journey includes a postdoctoral fellowship at McGill University and a PhD in Management Science from HEC Montréal under Prof. Georges Zaccour. His research spans mathematical optimization, machine learning, and game theory with applications in decision-making under uncertainty. Key interests include entropic risk measures, impulse control in differential games, and contextual optimization methods. His work integrates theoretical foundations with practical applications in security, insurance, and technology adoption. His recent publications demonstrate a strong focus on distributionally robust optimization, risk-averse decision making, and game-theoretic approaches to dynamic systems. The 2025 European Journal of Operational Research survey synthesizes advances in contextual optimization, while his 2023 INFORMS Journal paper establishes the value of randomized strategies in network security contexts. As an educator, he teaches Methods of Operations Research (IFT-6575) and Dynamic Programming (IFT-6521) at the University of Montréal, and previously taught Business Statistics at McGill University. Lead researcher on Decision-making in dynamical systems (2024-2030) funded by NSERC Discovery Grant Co-researcher on Integration of Environmental Data in Urban Planning (2024-2026) with MITACS Acceleration funding His research methodology combines theoretical rigor with computational implementation, evidenced by his GitHub repositories containing optimization solvers and experimental code for risk analysis.

• Static Analysis
• Logic Programming
• Program Verification
• +4 more

Manuel V. Hermenegildo is a Professor at the Universidad Politécnica de Madrid, Spain. He is a prominent researcher in the field of programming languages and static analysis, with significant contributions to logic programming, program verification, and formal methods. His work focuses on advancing static analysis techniques, compiler optimization, and energy-efficient computing. He has co-authored numerous papers and organized international conferences such as LOPSTR and SAS, demonstrating his leadership in academic and research communities. His research explores topics including abstract interpretation, runtime checking, and parallel logic programming systems. He is a key contributor to the Ciao Prolog system, emphasizing comprehensive tool integration and formal methods. His research interests span static analysis frameworks, program verification, resource usage analysis, and energy efficiency in computing. He has developed methodologies for optimizing program performance while ensuring correctness, with applications in both theoretical and applied domains. His work often bridges the gap between high-level program analysis and low-level hardware constraints, particularly in embedded systems. Recent trends in his publications include advancements in static cost analysis, dynamic inference of invariants, and tools for incremental assertion checking. His collaborations with institutions like the University of Copenhagen and the University of Kent reflect a global network in advancing computational logic and software engineering. He has been actively involved in academic service, including editorial roles for conference proceedings and journals. His contributions highlight a commitment to both foundational research and practical tools for the programming language community.

• Sustainable Construction Materials
• FRP Composites
• Concrete and Metallic Materials
• +4 more

Dr. Tafsir Tafsirojjaman is a Senior Lecturer in Civil and Structural Engineering at the University of Adelaide's School of Architecture and Civil Engineering. His research focuses on sustainable construction materials, including FRP composites, concrete, and structural rehabilitation under dynamic loads. He has secured AU$1,207k in grants from ARC, government, and industry partners and supervises multiple PhD/Master’s students. Previously, he worked at the University of Southern Queensland and earned his PhD from Queensland University of Technology (QUT) and BSc from Chittagong University of Engineering & Technology (CUET). His awards include QUT's HDR High Achiever and Outstanding Publication Awards. Research Interests: Sustainable construction materials (FRP composites, concrete, metallic/plastic materials), structural rehabilitation under seismic/impact loads, lunar construction materials, and self-healing concrete technologies. Collaborations with industries and governments drive his work. Awards: QUT HDR High Achiever Award (202X), QUT Outstanding Publication Award (202X), University Merit Scholarship (202X), Engr. Khurshid Anwar Memorial Award (202X). Grants/Funding: AU$1.2 million from ARC, federal government, and industry. Active in supervising postgraduate students and promoting interdisciplinary collaborations. Labs/Teams: Leading research in composite materials and structural engineering at the University of Adelaide, affiliated with the School's advanced materials research group.

Tommi MikkolaView profile

Lecturer

• Fluid Mechanics
• Computational Fluid Dynamics
• Ship Hydrodynamics
• +3 more

Tommi Mikkola is a University Lecturer in Fluid Mechanics at Aalto University, with a career spanning roles from summer trainee to postdoctoral researcher at the Ship Laboratory of Helsinki University of Technology. He focuses on advancing fluid mechanics education through systematic, student-centered approaches, emphasizing interactive learning and critical thinking. His research expertise includes computational fluid dynamics (CFD), ship hydrodynamics, and hydrodynamic interactions in maritime systems. Mikkola has contributed extensively to understanding ship stability, ice-structure interactions, and fluid-structure coupling in extreme conditions. His work bridges theoretical models with practical applications, addressing challenges like parametric roll resonance, air lubrication systems, and accidental load evaluations in maritime operations. His academic journey reflects a strong commitment to both education and research innovation. Current projects involve developing efficient numerical methods for predicting hydrodynamic behaviors, such as wave-structure interactions and slamming impacts. He collaborates on boundary element methods and FSI modeling to enhance ship design and safety standards. Despite no explicit mentions of awards or grants, his publications indicate active engagement in advancing naval architecture and marine engineering disciplines. Notable research interests include: optimizing computational models for marine systems, analyzing ship dynamics in extreme sea states, and improving teaching methodologies in fluid mechanics. His recent studies cover topics like energy-based ice load evaluation, two-way coupled FSI simulations for grounding incidents, and asymmetry in hull structural responses. These efforts aim to improve maritime safety, energy efficiency, and operational reliability through rigorous hydrodynamic analysis.

Olaf LandsiedelView profile

Professor

• Distributed Systems
• Wireless Sensor Networks
• Peer-to-Peer Systems
• +4 more

Olaf Landsiedel is a Full Professor and head of the Distributed Systems Group at Kiel University, where he leads research in distributed computing, wireless sensor networks, and peer-to-peer systems. He has been a key contributor to the field since joining COMSYS in 2006 and earning his PhD in 2010. His research interests center on enabling accurate, scalable, and energy-efficient network simulations and protocols. He focuses on bridging the gap between simulation and real-world deployment, improving timing accuracy, modeling power consumption, and designing robust communication for unstable wireless environments. His work emphasizes modularity, flexibility, and reliability in distributed systems. The 15 most recent publications reflect a strong trend toward enhancing simulation fidelity, addressing bursty wireless links, enabling dynamic software updates in sensor networks, and developing tools for realistic experimentation. His work spans both theoretical models and practical implementations, often validated through simulation frameworks and testbeds. Olaf Landsiedel has advised numerous students on topics ranging from routing protocols to modular communication frameworks and ontology design, primarily during his time at RWTH Aachen University. While no specific grants are mentioned, his sustained publication record suggests consistent research funding and collaborative projects. He leads the Distributed Systems Group, which conducts cutting-edge research in network simulation, protocol development, and sensor network reliability. The group's work includes tools like KleeNet for bug detection and Horizon for parallel simulation, indicating a strong focus on practical system building and validation.

• Supply Chain Management
• Operations Management
• Sustainable Supply Chains
• +9 more

Kuntal Bhattacharyya is an Associate Professor in the Department of Marketing and Operations at the Scott College of Business, Indiana State University. He has held significant administrative roles including Department Chairperson (2018–2021) and currently serves as Executive Director (2021–present). He also directs the Center for Supply Management Research (CSMR), fostering industry-academia collaboration. Education: Ph.D., Operations Management (Information Systems Minor), Kent State University, 2011 M.B.A., Management (Minor in Applied Statistics), The University of Akron, 2005 M.S., Electrical Engineering (Semiconductor Fabrication), The University of Texas at Arlington, 2003 B.S., Electrical & Electronics Engineering, BIET, 2000 His research spans Supply Chain Management , Sustainable Supply Chains , Supply Chain Risk Management , and Global Sourcing . He integrates quantitative modeling, blockchain, and Six Sigma methodologies to solve real-world operational challenges. His expertise is reflected in courses such as Global Sourcing (OSCM 455/555), Strategic Supply Chain Decisions (PMBA 612), and the capstone Global Supply Chain Management (OSCM 490). The 15 most recent publications reveal a strong focus on supplier performance modeling , blockchain in supply chains , conflict mineral tracking , and resilience through technology . These works span disciplines including operations research, sustainability, service quality, and humanitarian logistics, demonstrating interdisciplinary depth and practical relevance. Scientific Awards and Honors: Career Readiness Advocate (2020) Dean's Achievement Award (2018) Best Paper Award, Academy of Business Review (2016) Teaching Excellence Award (2015) Outstanding Academic Advisor Award (2017) Summer Research Grants and multiple internal funding awards Dr. Bhattacharyya has secured numerous grants from Indiana State University and external foundations like the Wabash Valley Community Foundation, supporting student research and center development. He actively mentors students through research projects and capstone courses. He has served on key university committees related to strategic planning, diversity, faculty governance, and community engagement. His consulting experience with firms like Toyota Material Handling and Masterbrand Cabinets further strengthens his applied perspective. He leads the Center for Supply Management Research (CSMR) , which serves as a hub for supply chain innovation, student experiential learning, and industry partnerships. The center has received continuous internal funding, reflecting its institutional importance.

• MEMS (Micro-Electro-Mechanical Systems)
• Biosensors
• Biomedical Instrumentation
• +8 more

Yiğit Dağhan Gökdel is an Associate Professor in the Department of Electrical and Electronics Engineering at Istanbul Bilgi University, Faculty of Engineering and Natural Sciences. He serves as the Chair of the department and advisor to the Rector. His work bridges engineering, biomedical instrumentation, and microsystems, with a strong focus on MEMS, biosensors, and optical devices. He leads the Microsystems Research Group and the Biosensors Research Group, and has coordinated numerous funded research projects from TÜBİTAK and institutional grants. Education: Postdoctoral Research Associate, Biomedical Engineering, University of Texas at Austin, 2012 PhD, Electrical and Electronics Engineering, Bogazici University, 2011 MS, Electrical and Electronics Engineering, Bogazici University, 2007 BS, Electrical and Electronics Engineering, Bilkent University, 2004 His research centers on the design, fabrication, and application of MEMS-based sensors and systems for biomedical and industrial use. Key areas include disposable biosensors for toxin detection, soft robotics sensors, laser scanning confocal microscopy, and structural health monitoring of wind turbines. His work integrates materials science, microfabrication, and system integration for real-world deployment. The 15 most recent publications highlight a consistent trend in developing miniaturized, low-cost, and often disposable MEMS devices for healthcare and environmental monitoring. Topics span piezoresistive sensors, 3D-printed scanners, optical imaging systems, and IoT-enabled monitoring, reflecting a multidisciplinary approach combining electrical engineering, materials, and biomedical applications. Scientific Awards: BAP, Bogazici University Best Dissertation Award, Jun. 2011 He has successfully led multiple research grants, including TÜBİTAK projects on smart home platforms, paper-based biosensors, and biopsy catheters for early cancer detection. He has advised over 18 graduate students, including one PhD and numerous Master’s theses. His leadership extends to editorial roles, program coordination, and institutional governance. Dr. Gökdel leads two active research groups: the Microsystems Research Group and the Biosensors Research Group. These teams focus on developing innovative MEMS solutions for medical diagnostics, industrial monitoring, and robotics, often leveraging 3D printing and low-cost fabrication techniques.

• Pediatric Physiotherapy
• Neurodevelopmental Disorders
• Cerebral Palsy
• +12 more

Bülent Elbasan is a faculty member at the Faculty of Health Sciences, Department of Physiotherapy and Rehabilitation, Gazi University, Ankara, Turkey. He is a prominent researcher in pediatric rehabilitation, with a strong focus on neurodevelopmental disorders, particularly cerebral palsy and high-risk infants. His research interests span motor development, sensory processing, trunk and postural control, gait analysis, family-centered interventions, and the psychometric validation of clinical assessment tools in pediatric populations. He has led numerous studies on the effectiveness of various physiotherapy interventions, including orthoses, Pilates, stretching techniques, and post-Botulinum toxin rehabilitation. The analysis of his 15 most recent articles reveals a consistent focus on improving functional outcomes in children with cerebral palsy , validating assessment tools for Turkish populations (e.g., GOAL, VFCS), and exploring early predictors of neurodevelopmental disorders in preterm infants. His work often employs rigorous methodologies such as randomized controlled trials and psychometric validation studies. Dr. Elbasan has made significant contributions to the field through his extensive publication record in high-impact, peer-reviewed journals indexed in SCI and SSCI. His collaborative research network includes colleagues from Gazi University and other leading Turkish institutions. He is actively involved in mentoring and advising, as evidenced by his frequent co-authorship with doctoral and early-career researchers. His work also addresses broader issues in healthcare delivery, such as the adoption of telerehabilitation in developing countries and the challenges faced by caregivers of children with special needs. Dr. Elbasan is affiliated with research groups focused on early intervention (e.g., SAFE approach), neurorehabilitation, and the development of evidence-based clinical practices in physiotherapy.

• Signal and Information Processing
• Energy Disaggregation
• Non-Intrusive Load Monitoring (NILM)
• +15 more

Professor Vladimir Stankovic is a leading academic in the Department of Electronic and Electrical Engineering within the Faculty of Engineering at the University of Strathclyde, UK. His research focuses on signal and information processing to tackle global sustainability challenges such as energy efficiency, net-zero transition, electrification of transport, and landslide monitoring. He is actively involved in multiple high-impact research initiatives and holds leadership roles in major AI and engineering conferences. PhD (Dr-Ing), University of Leipzig, Germany, 2003 MEng (Dipl-Ing), Electrical Engineering, University of Belgrade, 2000 His research interests center on applying signal processing and AI to smart homes, micro-seismic analysis, health monitoring, remote sensing, and computer vision. He has developed innovative methods in energy disaggregation, graph signal processing, and interpretable machine learning. His work bridges engineering with sustainability, contributing to UN Sustainable Development Goals. He teaches core courses including image/video processing, communication systems, signals and systems, and information theory. The recent publications highlight a strong trend in applying AI and machine learning to energy analytics in buildings and agriculture (e.g., dairy farms), landslide monitoring using seismic data, and equitable EV charging planning. These works leverage advanced techniques such as graph neural networks, transformers, and human-in-the-loop deep learning, demonstrating a consistent focus on real-world impact, interpretability, and sustainability. He has received notable scientific awards: Finalist of the World first 10K Best paper Award (Top 3%) IEEE Multimedia Signal Processing Workshop (MMSP) top 10% best paper award 2010 Professor Stankovic has been a Principal or Co-Investigator on numerous research and knowledge exchange projects, including JED-AIs (Justice, Energy, Demand flexibility and AI for Sustainability), REMINDA, and multiple Digital Dairy Chain Innovation Vouchers. These projects are funded by EPSRC and other UKRI councils, focusing on AI-driven energy analytics, community energy sharing, and sustainable farming. He serves in key editorial roles, including Area Editor for IEEE Transactions on Communications and Associate Editor for Nature Scientific Data, and has organized major conferences such as IEEE MMSP 2017 and IJCNN 2025. He is actively involved in research teams and collaborative networks focused on AI for sustainability, energy systems, and environmental monitoring. His lab works on datasets such as the Plegma Dataset and REFIT, supporting open science in energy and seismic analytics.

Fatime BALKAN KIYICIView profile

Professor

• Science Education
• Environmental Education
• Informal Learning Environments
• +7 more

Prof. Dr. Fatime BALKAN KIYICI is a faculty member at Sakarya University, Faculty of Education, Department of Mathematics and Science Education. She is an active professor in the field of science education, teaching both undergraduate and graduate courses such as Science Education I/II, Teaching Practice, Environmental Education, and specialized graduate seminars. Her research interests include Science Education , Environmental Education , Informal and Out-of-School Learning Environments , Teacher Training , Technology Integration in Education , and Curriculum Development . She has conducted comparative studies on science curricula in Turkey and Brazil, developed scales for environmental awareness and out-of-school learning, and explored the use of zoos, museums, and nature trips in science instruction. Her recent publications (2020–2024) emphasize socio-scientific issues, sustainable development, Web 2.0 tools, and the impact of informal learning on student achievement and environmental awareness. She has published in journals indexed by SSCI, Scopus, and TRDizin, including Education and Information Technologies , Children & Society , and Sakarya University Journal of Education . She has supervised at least one master’s thesis and has contributed to national research projects related to nature education and science centers. Her work demonstrates a strong commitment to improving science teaching through innovative, real-world, and technology-enhanced approaches. Supervised Student: Melike Yavuz (2011, Master’s Thesis on Zoo Use in Science Education) Prof. Balkan Kiyici has also developed and taught numerous graduate-level courses, including Problems in Science Education Research , Comparative Science Education Programs , and Specialization Field Courses at both master's and PhD levels. She actively contributes to academic service through conference presentations and curriculum development.

• Macroeconomics
• Economic Surveys
• Time Series Economics
• +7 more

Dr. Klaus Wohlrabe is a Scientific Assistant and Deputy Director of the ifo Center for Macroeconomics and Surveys at the ifo Institute for Economic Research, where he also serves as Head of Surveys. His work focuses on the methodology and evaluation of the ifo business surveys, economic analysis, bibliometrics, efficiency measurement, and time series economics. He has been actively involved with the ifo Institute since 2000, initially as a tutor in macroeconomics and economics before transitioning into his current research and leadership roles. His research interests span a wide range of topics in applied economics, with a strong emphasis on survey methodology, business cycle analysis, and economic forecasting. He has made significant contributions to understanding the mechanics of the ifo Business Climate Index, the representativeness of business surveys, and the impact of external shocks such as the Covid-19 pandemic and the war in Ukraine on firm behavior. His work in bibliometrics includes studies on journal rankings, citation patterns, co-authorship norms, and the efficiency of academic institutions. His recent publications, from 2020 to 2025, demonstrate a consistent and prolific output. The articles reveal a strong trend towards empirical analysis of survey data, particularly from the ifo Institute, to understand current economic conditions in Germany and globally. Key themes include business sentiment, labor markets, AI adoption, material shortages, and the economic implications of major events. His work often involves sophisticated statistical and econometric methods, including archetypoid analysis and efficiency measurement. Dr. Wohlrabe has collaborated with numerous researchers, including Lutz Bornmann, Robert Lehmann, and Stefan Sauer, on a wide array of projects. He has contributed to major policy reports, such as those on the economic costs of the Coronavirus shutdown and the competitiveness of German industry. He is a key figure in the development and dissemination of the ifo Institute's survey tools and findings, having co-edited the 'Handbook of ifo Surveys' and authored numerous sections on the ifo Business Climate Index, the ifo Employment Barometer, and other survey instruments. His work is instrumental in providing timely and reliable economic insights to policymakers, businesses, and the academic community.