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Gary L. DarmstadtView profile

Professor

• Maternal and Child Health
• Neonatal Health
• Global Health
• +5 more

Gary L. Darmstadt, MD, MS, is a Professor (Teaching) of Pediatrics (Neonatology) at Stanford University School of Medicine and holds a courtesy appointment in Obstetrics & Gynecology. He serves as Associate Dean for Maternal and Child Health and leads the Global Center for Gender Equality at Stanford. His career spans academic medicine, global health leadership at the Bill & Melinda Gates Foundation, and pioneering work in newborn health research. Education & Training: MD from UC San Diego, MS in Agronomy from University of Wisconsin, and residency in Pediatrics at Johns Hopkins. Advanced training includes Dermatology at Stanford and Pediatric Infectious Disease at University of Washington. Research Focus: Advances in maternal and child health, neonatal survival, gender equality in global health, and application of artificial intelligence to health equity challenges. Key projects include The Lancet Series on Gender Equality, Grand Challenges for Women's Health, and interventions to reduce neonatal infections in low-resource settings. Publications & Impact: Over 245 peer-reviewed articles, including landmark studies on neonatal infection mortality, preterm birth biomarkers, and gender norms' impact on health outcomes. Recent work emphasizes machine learning applications in global health diagnostics and policy. Awards & Recognition: Recipient of prestigious honors such as the 2021 Johns Hopkins Outstanding Alumnus Award, 2017 UC San Diego Alumnus of the Year, and multiple Gates Foundation awards for innovative programs. Leads global advisory roles at WHO, UNICEF, and the Global Mental Health Council. Current Roles: Member of Bio-X, Stanford HAI, and Wu Tsai Neurosciences Institute. Oversees interdisciplinary initiatives like the Global Center for Gender Equality and co-directs global pediatric research programs.

• Sampling Methods
• Survey Design
• Spatial Statistics
• +4 more

Giorgio Alleva is a Full Professor at the Department of Methods and Models for Economy, Territory and Finance at Sapienza University of Rome. He specializes in statistical methods for labor market analysis, data integration, and spatial statistics. His work addresses the intersection of official statistics, administrative data utilization, and pandemic surveillance systems. Academic Rank: Full Professor Department: Methods and Models for Economy, Territory and Finance Email: giorgio.alleva@uniroma1.it His research focuses on sampling methodologies , survey design , and quality assessment of official statistics . Recent work includes optimizing spatial sampling strategies for SARS-CoV-2 surveillance and analyzing data ecosystems for multisource integration. He also explores the role of statistical transparency in public health communication. Alleva's recent publications emphasize pandemic data infrastructure , economic modeling , and territorial administrative analysis . His methodological contributions span stochastic general equilibrium models and accuracy measurement in statistical registers. He leads the UNESCO CHAIR 'Population, Migrations and Development' and collaborates with the COVINFORM research group. His teaching includes a 3-CFU module on labor market data analysis, with classes held in Santoro Passarelli Hall on Wednesdays and Room IX on Fridays.

Francesco ManciniView profile

Associate Professor

• Global Governance
• United Nations Studies
• Conflict Analysis
• +13 more

Francesco Mancini is Vice Dean (Executive Education) and Associate Professor at the Lee Kuan Yew School of Public Policy , National University of Singapore. Additionally, he serves as an Adjunct Associate Professor at Columbia University's School of International and Public Affairs (SIPA) and previously taught at New York University. Education: Bocconi University (BSc in Business Administration), Columbia University (Master of International Affairs with Saltzman Institute Fellowship ) Research Focus: Global governance, UN system analysis, conflict resolution mechanisms, security-development intersections, and technology-enabled peacekeeping His scholarship spans 15 major works covering: 2010-2017: 7 publications on UN peacekeeping reform and coordination 2016: 2 studies on crisis resilience in Asian cities 2013: Research on digital conflict prevention tools 2011: Analysis of public-private security partnerships Scientific Recognition 2009 Saltzman Institute Fellowship at Columbia University Honorary Senior Fellow at NUS Middle East Institute Associate Fellow at Leiden University Peace Informatics Lab Professional Contributions 2014-2017: Senior Director of Research at International Peace Institute (IPI) 2004-2014: Adjunct Professor at Columbia University 2002-2004: Senior Associate at EastWest Institute

Rider W. FoleyView profile

Associate Professor

• Science and Technology Studies
• Sustainability Science
• Ethical STEM Education
• +5 more

Rider W. Foley is an Associate Professor in the Science, Technology & Society program at the University of Virginia's Department of Engineering and Society. He directs the Policy Internship Program and leads the '4C Project' on Cultivating Cultures of Ethical STEM education, collaborating with institutions like Notre Dame and Arizona State University. His research focuses on societal-technology intersections, including ethical STEM education, innovation governance, sustainability challenges, and urban techno-politics. Foley holds a Ph.D. in Sustainability from Arizona State University, a Master's in Environmental Management from Harvard, and a B.S. in Environmental Science from the University of New Hampshire. Prior to academia, he worked in environmental consulting and emergency response for Triumvirate Environmental Inc. His work spans themes like responsible innovation, wicked problems, and policy interventions for equitable technological development. Education: Ph.D. in Sustainability, Arizona State University M.S. in Environmental Management, Harvard University B.S. in Environmental Science, University of New Hampshire His research interests emphasize 'wicked problems' requiring interdisciplinary solutions, such as nanotechnology governance, smart city equity, and energy infrastructure ethics. He co-leads the 'Nano and the City' thematic cluster at Arizona State's Center for Nanotechnology in Society and collaborates with the Sustainability Science Education program at the Biodesign Institute. Recent projects include evaluating innovation ecosystems for wearable medical devices and analyzing the Atlantic Coast Pipeline's societal impacts through public values theory. Foley's academic contributions bridge theory and practice, with a focus on pedagogy (e.g., concept mapping for learning outcomes) and participatory methods (e.g., community-governed network commons). He explores how education and policy can align technological advancements with societal needs, particularly in marginalized communities. His work on anticipatory governance frameworks aims to preempt ethical challenges in emerging technologies like geoengineering and synthetic biology. His advising and grants include collaborations on the '4C Project' and 'Nano and the City,' leveraging partnerships between academia, industry, and policymakers. Current efforts involve refining methodologies for assessing student learning in engineering ethics and advancing frameworks for sustainable innovation in arid regions. Foley is affiliated with the Center for Nanotechnology in Society and contributes to initiatives like the Secure Affordable Sustainable Edge Clouds (SASEC) for smart cities.

• Biostatistics
• Health Informatics
• Mental Health
• +6 more

Kirsty James is a Researcher in Biostatistics & Health Informatics at the Institute of Psychiatry, Psychology & Neuroscience, King's College London. With 330 citations and 27 research outputs including 26 articles and 1 letter, she specializes in biostatistics and health informatics with a focus on mental health research, particularly in autism, adolescent mental health, and cost-effectiveness analysis of interventions. Her research interests span Biostatistics, Health Informatics, Mental Health, Autism Research, Cost-Effectiveness Analysis, Randomized Controlled Trials, and Adolescent Mental Health. She applies sophisticated statistical methods to evaluate the clinical effectiveness and cost-effectiveness of mental health interventions, particularly those targeting children, adolescents, and caregivers. Her work often involves complex trial designs including cluster randomized controlled trials and economic evaluations. Analysis of her recent publications reveals a strong focus on evaluating interventions for autism spectrum disorder (particularly the REACH-ASD program for caregivers) and adolescent mental health (through the BESST trial). Her work consistently integrates rigorous biostatistical methods with health economic evaluation, demonstrating expertise in both clinical trial methodology and cost-effectiveness analysis across multiple healthcare domains. As Primary Investigator on the 'Emotional and Language recovery in Aphasia (ELA)' project funded by the NIHR National Institute For Health & Care Research (February 2025 to April 2027), she leads research developing novel interventions for people living with post-stroke aphasia. Her collaborative work extends across multiple significant projects including the REACH-ASD Trial, BESST trial, and CLEAR study on clozapine for early psychosis. Her research has been disseminated through high-impact journals including EClinicalMedicine, The Lancet Psychiatry, BMC Psychiatry, and Trials, with her work reaching diverse audiences through news outlets, social media platforms (X, Bluesky), and academic platforms like Mendeley.

• Large scale hydro-economic modeling
• Water management for agriculture
• Water management for urban uses
• +8 more

Josué Medellín-Azuara is a Professor in the Civil & Environmental Engineering Department at the University of California, Merced School of Engineering. He specializes in sustainable water systems management through interdisciplinary approaches combining hydrology, economic modeling, and policy analysis. Education: Ph.D. in Ecology-Environmental Policy Analysis (UC Davis, 2006), M.S. in Agricultural and Resource Economics (UC Davis, 2003), MBA from EGADE Institute (Monterrey, 1998), and B.S. in Mechanical & Electrical Engineering (Monterrey Institute, 1993) His research focuses on large-scale hydro-economic modeling for water policy analysis, agricultural water use efficiency, climate change adaptation, and sustainable agroecosystems. The Water Systems Management Lab he leads integrates systems analysis, remote sensing, and equilibrium modeling to address water-food security tradeoffs. The lab has graduated multiple researchers including PhD candidates Liying Li (water-carbon-biodiversity management), Jorge Valero, and Jose M. Rodriguez-Flores, plus MS graduate Spencer Cole. Recent collaborations include hosting UNAM Postdoc Mario Hernandez through the UC Alianza MX exchange program.

Maciej MitręgaView profile

Professor

• Business-to-Business (B2B) Marketing
• Relationship Marketing
• Dynamic Capabilities
• +3 more

Maciej Mitręga is a full Professor at the University of Economics in Katowice , serving as Head of the Department of Organizational Relations Management within the Faculty of Informatics and Communication . With an ORCID 0000-0003-4043-5589 , he has published 102 academic works and maintains a Google Scholar profile. 82 total publications 3 promoted theses 20 activities h-index 11 (Scopus), 17 (WoS) Total Impact Factor 184.268 His research focuses on business relationships, power dynamics in B2B contexts, and dynamic marketing capabilities. Recent work explores collaborative consumption through ESG frameworks and pandemic-era managerial adaptations in manufacturing sectors. His scientific contributions include: Systematic reviews on customer citizenship behavior Power play analysis in export-import relationships Networking capability frameworks Dynamic capabilities in intercultural environments As department head , he leads research initiatives in organizational relationship management and contributes to academic productivity through various publications and co-authored studies with international collaborators from Slovenia, Finland, and the UK.

• AI management
• Digital Governance
• Risk Society
• +3 more

Leif Sundberg serves as an Associate Professor (docent) in Informatics at Umeå University and maintains a part-time research position at Mid Sweden University. He is affiliated with the Department of Informatics at Umeå University and the Department of Communication, Quality Technology and Information Systems at Mid Sweden University. Dr. Sundberg holds leadership roles as Deputy Forum Leader for the Forum for Digitalization (FODI) and is an active member of the Risk and Crisis Research Centre (RCR) and the Swedish Center for Digital Innovation (SCDI). His academic background includes BA degrees in Philosophy and Media & Communication Science from Umeå University, an MA in Education from Mid Sweden University, and a PhD in Information Systems completed at Mid Sweden University in 2019. He served as a postdoctoral researcher at Umeå University during 2021-2022, was appointed senior lecturer in January 2023, and received his docent (associate professor) qualification in September 2024. Dr. Sundberg's research program centers on the complex relationship between digital technology and societal structures, particularly examining AI management, digital governance frameworks, and risk society dynamics. His work critically analyzes how digitalization transforms public sector values, decision-making processes, and risk landscapes, often employing philosophical perspectives to explore deeper implications of technological change in governance contexts. His research has made significant contributions to understanding the tensions between technological optimism and practical implementation challenges in government settings. Analysis of his recent publication portfolio reveals several key research trajectories: the application of generative AI in government contexts with attention to resilience implications; critical examinations of government technology narratives and their relationship to uncertainty; investigations into the practical challenges of implementing machine learning in public sector environments; development of frameworks for understanding the digital risk society; exploration of citizen-centric approaches to digital government; and application of public value perspectives to enterprise architecture in government settings. Generative AI applications in government resilience Critical analysis of technology narratives in public administration Machine learning implementation challenges in public sector Digital risk society theoretical frameworks Citizen-centered digital government approaches Public value perspectives on government IT architecture Dr. Sundberg's scholarly work has been published in prestigious journals including Government Information Quarterly, Safety Science, Journal of Strategic Information Systems, and Information Polity. His research has informed academic understanding of digital government strategies, e-participation mechanisms, and the philosophical dimensions of technological change in public administration, while also providing practical insights for policymakers and government practitioners. As an educator, Dr. Sundberg has supervised students in the Industrial Organization and Economics program and has developed innovative approaches to teaching machine learning using no-code AI platforms. He currently serves as an international contact person at the Department of Informatics, facilitating global academic collaborations, and participates actively in the GovTech Challenges graduate school, contributing to the development of next-generation digital government researchers and practitioners.

• Health Economics and Policy
• Health Management
• Critical Theory
• +4 more

Assoc. Prof. Dr. Rukiye ÇELİK serves as Associate Professor in the Department of Public Relations and Promotion at Suleyman Demirel University's Faculty of Communication. Her academic trajectory spans health administration and critical communication studies, with active scholarly contributions through 2023. Current research focuses on the sociocultural dimensions of health discourse and institutional power structures. Her educational foundation includes: Associate Degree in Oral and Dental Health from Istanbul University (2006) Licence in Health Administration from Hacettepe University (2010) Master's Degree in Health Management (Thesis) from Suleyman Demirel University (2012) Doctorate in Health Institutions Administration from Suleyman Demirel University (2016) ÇELİK's research critically examines health communication through lenses of biopower, medicalization, and cultural representation. She investigates how health discourse shapes societal norms, analyzing phenomena from anti-aging advertising to health anxiety in digital environments. Her work consistently bridges critical theory with empirical studies of healthcare systems and media practices, emphasizing power dynamics in health literacy and policy implementation. Publication analysis reveals evolving thematic priorities: early work (2012-2016) focused on healthcare administration and institutional identity, while recent output (2018-2019) addresses urgent communication challenges including mobile health security, hubris in medical professions, and political hashtag activism. This progression demonstrates increasing engagement with digital media's impact on health perception and policy. No scientific awards were documented in the provided materials. The available information contains no references to graduate student supervision, research grants, or laboratory affiliations. Her advisory roles and funded projects remain unreported in the current documentation.

Ursula BergerView profile

Research Professor

• Biostatistics
• Epidemiology
• Public Health
• +5 more

PD Dr. Ursula Berger is a Senior Biostatistician and Epidemiologist at Ludwig-Maximilians University Munich's Department of Medical Informatics, Biostatistics and Epidemiology (IBE). She holds a Venia Legendi for Biostatistics and Epidemiology from LMU and has extensive experience in health research, including positions at the University of Glasgow, Universität Bielefeld, and as a consultant for IGES in Berlin. Her research focuses on the evaluation of health programs and interventions, health inequality research, and risk factor assessment using models for complex data structures. Dr. Berger specializes in spatial epidemiology, statistical methods development, and the application of advanced biostatistical techniques to public health problems. She has made significant contributions to understanding health disparities, environmental health impacts, and pandemic response strategies. Dr. Berger has supervised numerous doctoral and master's theses across diverse topics including spatial epidemiology, non-communicable diseases, environmental exposures, and health systems research. Her recent publications demonstrate expertise in statistical modeling of pandemic data, health inequalities, and methodological approaches to epidemiological challenges. Her scientific recognition includes the Harald Mückter Teaching Innovation Award 2025 from the LMU Medical Faculty for her commitment to teaching and promotion of statistical competence in medical education. She has developed innovative educational tools including epiLEARNER, an interactive e-learning program for epidemiology and statistics. As an educator, Dr. Berger coordinates and teaches advanced courses including Quantitative Methods, Survival Analysis, Multilevel Analysis, and Statistical Methods for Spatial Epidemiology. She has played a key role in restructuring epidemiology and biostatistics curriculum for medical students through the MeCuM Science program and has coordinated the development of a national catalogue of learning objectives in biostatistics.

André NitzeView profile

Professor

• Internet of Things
• Digital Business Models
• Software Engineering
• +9 more

Prof. Dr.-Ing. André Nitze is a faculty member at the Brandenburg University of Technology in the Department of Economics . His research focuses on Internet of Things (IoT) , Digital Business Models , Software Architectures , Cloud Computing , Mobile Computing , and Predictive Analytics . He leads research projects on municipal LoRaWAN infrastructure, rural on-demand transport systems, and user-centered digitalization for sustainable development. Area of Expertise: IoT Applications, Software Engineering, Digital Transformation Current Research: Sustainable Municipal LoRaWAN, Rural Mobility Solutions Projects: risKI - KatKomm (2024-2026): Protocol development for disaster communication InNoWest (2023-2027): Subproject leader for digital sustainability OSLO (2023): Rural on-demand transport software architecture Awards: Best Paper Award at ICDS 2024 for work on LoRaWAN infrastructure Education & Supervision: M.Sc. and B.Sc. in Business Informatics Supervised over 15 theses including topics on GIS analysis, sensor networks, and AI applications

John M. CarrollView profile

Professor

• Human-Computer Interaction
• Community Informatics
• Collaborative Systems
• +6 more

John M. Carroll is a Professor at The Pennsylvania State University , affiliated with the College of Information Sciences and Technology . He co-directs the Collaboration and Innovation Laboratory and leads the Center for Human-Computer Interaction . Secondary appointments span Computer Science and Engineering , Learning, Design and Technology , and Psychology . Education : Mathematics and Information Science (undergraduate), Experimental Psychology (Ph.D.) Research Focus : Human-Computer Interaction (HCI), community informatics, scenario-based design, and minimalist instructional models. Key Projects : Mobile timebanking systems, smart city initiatives, community data analytics, and accessibility technologies for visually impaired users. Scientific Awards include lifetime honors from ACM, IEEE, and AAAS. He has led NSF-funded projects on collaborative sensemaking, educational technology, and disaster response systems. His work bridges social theory, design practice, and computational innovation.

Antonello ZangrandiView profile

Professor

• Healthcare Management
• Public Sector Economics
• Crisis Management
• +7 more

Antonello Zangrandi is a Full Professor at the University of Parma's Department of Economics and Business Sciences and serves as Director of the Master's Degree in Management of Health and Social Health Services there. He also lectures at Bocconi University's School of Business Administration in Milan and acts as Scientific Director for National Health Service Executive Training Courses. Full Professor, University of Parma Lecturer, Bocconi University Scientific Director, National Health Service Training His research focuses on healthcare management, public sector economics, crisis management, and ESG applications in nonprofit organizations. He analyzes managerial roles in public hospitals, big data integration, and pandemic response strategies. Recent publications examine healthcare leadership, social reporting frameworks, and performance measurement tools. His work emphasizes collaboration between clinicians and administrators and the impact of regional policies on healthcare systems. As Director of the Master's program, he oversees curriculum development for health services management. His teaching spans economics of public companies, business informatics, and nonprofit organizational models across various academic years and degree tracks.

Eric MeyerView profile

Professor

• Social Informatics
• e-Research
• Digital Humanities
• +7 more

Eric Meyer is a Professor at the Oxford Internet Institute (OII), University of Oxford, specializing in social informatics and e-Research. His work focuses on understanding how digital technologies transform research practices, particularly in the humanities and social sciences. University of Oxford, Oxford Internet Institute Professor of Social Informatics Director of research projects on digital scholarship Meyer's research interests span social informatics, digital humanities, e-Research, and the socio-technical aspects of digital scholarship. He investigates how researchers use digital tools and resources, with particular attention to the impact of digital archives and big data on scholarly practices. His work bridges information science, sociology of science, and digital humanities, examining the complex interplay between technology and research practices. His publication record shows a strong focus on the transformation of research in the digital age, with particular attention to digital archives, research data management, and the adoption of web technologies in scholarly work. Over the past decade, his research has increasingly addressed privacy implications of digital research infrastructure and the socio-economic aspects of internet technologies. ASIS&T ProQuest Dissertation of the Year Award Meyer has led numerous research projects examining the impact of digital collections on humanities scholarship, including studies of Early English Books Online (EEBO) and House of Commons Parliamentary Papers (HCPP). His work often involves collaboration with libraries, archives, and research infrastructure providers to understand and improve digital research environments. He has been actively involved in European research initiatives such as SESERV, focusing on socio-economic aspects of future internet technologies. As a prominent figure in the digital humanities community, Meyer has organized and contributed to numerous summer schools and workshops, including the Oxford Digital Humanities Summer School and the OII Summer Doctoral Programme, helping to train the next generation of digitally-enabled humanities scholars.

• Decision Support Systems
• Energy Management
• Sustainable Energy Planning
• +8 more

Dr. Vangelis Marinakis is an Assistant Professor at the School of Electrical and Computer Engineering (ECE) of the National Technical University of Athens (NTUA). His academic background includes an Electrical and Computer Engineering degree and a PhD in Decision Support Systems for Sustainable Energy Planning from NTUA. PhD in Decision Support Systems for Sustainable Energy Planning (NTUA) Electrical and Computer Engineer (NTUA) His research focuses on designing methodologies for intelligent energy management across Smart Homes, Buildings, Cities, and Districts, leveraging technologies like IoT, AI, and Big Data. He has contributed to over 25 European (Horizon Europe, H2020) and national projects, with more than 50 journal publications and book chapters. Key research areas include Decision Support Systems , Energy Efficiency , and Renewable Energy Integration . He has led research in AI-driven energy forecasting, federated learning for privacy-preserving data models, and blockchain applications in energy markets. His work explores the intersection of Smart Grids , Building Informatics , and Climate Resilience . Dr. Marinakis has developed frameworks for: Decarbonization-as-a-Service in building renovations Scalable Big Data architectures for smart buildings Multi-criteria optimization of EV charging stations Explainable AI in energy decision-making Climate resilience assessment for urban housing