جست‌وجوی استاد و پژوهشگر

Mike Chiassonمشاهده پروفایل

استاد

• Information Systems
• Social Context and IS Development
• System Development
• +۶ مورد دیگر

Mike Chiasson is a Professor at the Faculty of Management at the University of British Columbia's Kelowna campus. He joined UBC in 2014 after previously serving as a Professor of Information Systems at Lancaster University's Management School and as an Associate Professor at the Haskayne School of Business, University of Calgary (1999-2006). His educational background includes a Post Doctoral Fellowship at the Institute for Health Promotion Research at UBC, a Ph.D. in Management Information Systems from UBC Faculty of Commerce, and a B.Com. (with Distinction) in Finance/Accounting from the University of Alberta, Faculty of Business. Dr. Chiasson's research examines how social context affects and is affected by information systems development and implementation, using a range of social theories. His work spans system development (public policy, user involvement, agile development, outsourcing), effects of IT (entrepreneurial capabilities, diffusion and infusion, organizational change, client-patient outcomes), and specific IT applications (enterprise resource planning, eHealth, electronic health records) within medical, legal, entrepreneurial, and governmental settings. His empirical work mixes quantitative and qualitative data with a strong emphasis on participant observation, contributing to social theory (ANT, Habermas, pragmatism, structuration theory, entrepreneurial opportunities), action research, and research methods. Analysis of his recent publications shows a continued focus on information systems, digital innovation, and healthcare applications of technology, with increasing attention to philosophical foundations of IS research, critical realism, and systems of innovation frameworks. Outstanding Reviewer Award, Emerald Literati Network Award of Excellence, 2012 Visiting Shidler Fellow, University of Hawaii at Manoa, 2012 MISQ Reviewer of the Year, 2006 AIM Innovation Fellow, 2007-2009 Multiple prestigious fellowships from NSERC, SSHRC, and other organizations Dr. Chiasson has secured significant research funding throughout his career, including Future Fund Grants, SSHRC Doctoral Fellowships, and NSERC Postdoctoral Fellowships. His work bridges academic research with practical applications in healthcare, government, and business settings, with a particular emphasis on understanding how technology implementation interacts with social contexts.

Toby Rollin Aultمشاهده پروفایل

دانشیار

• Climate Change
• Drought Risk
• Seasonality Dynamics
• +۵ مورد دیگر

Toby Rollin Ault is an Associate Professor and Director of Graduate Studies for Atmospheric Sciences in the Department of Earth and Atmospheric Sciences at Cornell University, where his research addresses emergent climate risks through interdisciplinary approaches spanning climatology, ecology, and paleoclimatology. PhD, University of Arizona, 2011 Postdoctoral Fellow, National Center for Atmospheric Research, 2011-2013 His work centers on three critical areas: quantifying 21st-century megadrought risk in the American Southwest using paleoclimate proxies and modeling; analyzing spring onset dynamics and phenological shifts across US ecosystems; and characterizing multi-decadal Tropical Pacific variability and its global teleconnections. This research integrates observational synthesis, statistical techniques, and numerical modeling to assess climate change impacts on water resources and seasonal cycles. Analysis of his recent publications reveals dominant trends in drought attribution methodology, tropical-extratropical climate linkages, and quantification of climate change impacts on hydrological and phenological systems, with increasing emphasis on industry-relevant risk assessment applications. His honors include: Faculty Fellow in Community Engaged Learning (Cornell Office of Engagement Initiatives, 2019) Dr. Ault secures research funding through Cornell Atkinson Center for Sustainability initiatives, including a 2025 industry partnership for drought risk assessment. He teaches Climate Dynamics (EAS 3050/5051) and Climate and Energy (EAS 1101), mentoring graduate students as Director of Graduate Studies. He leads the Emerging Climate Risk Lab (ECRL), which develops frameworks for communicating climate risks to policymakers and industry stakeholders through interdisciplinary collaboration.

Michal Kedzioraمشاهده پروفایل

استادیار

• Cybersecurity
• Blockchain
• Artificial Intelligence
• +۷ مورد دیگر

Michal Kedziora is an Assistant Professor at Wroclaw University of Science and Technology, affiliated with the Faculty of Information and Communication Technology and Department of Applied Informatics. As head of the Cybersecurity mini-Lab, he bridges academic research with practical expertise as an IT Security Professional and Digital Forensics Investigator with experience in companies like IBM and Orange. Postdoc in Cybersecurity (2017), University of Wollongong PhD in Computer Science (2014), Wroclaw University of Science and Technology MSc in Computer Security (2006), Wroclaw University of Technology His research focuses on AI-driven cybersecurity , blockchain security , and brain-computer interfaces , with recent work on adversarial attacks, medical AI applications, and offensive cybersecurity strategies. Publications span from 2009 to 2025, demonstrating sustained impact. Key article trends: 13/15 recent papers involve artificial intelligence (2021-2025), 8 focus on blockchain security , and 5 on BCI applications . Notable collaborations with University of Wollongong and EU-US teams. 2022 Secundus University Award 2021 Erasmus Mundus Thelxione Grant 2021 Best EU-US Collaboration Team (NGI Explorers) 2020 H2020 ICT-31-2018-2019 EU-US NGI Grant Supervises 11 current and 33 past students across BSc, MSc, and PhD levels, with thesis topics ranging from ransomware detection to blockchain voting systems . Leads cybersecurity research at WUST's Security and Reliability of Information Systems Lab.

• Machine Learning
• Neural Networks
• Dimensionality Reduction
• +۳ مورد دیگر

Dr. Alexander Schulz is a Researcher at the University of Bielefeld within the Faculty of Engineering and its Machine Learning Group . He focuses on machine learning applications across diverse domains including biomedical engineering , fairness evaluation , and data visualization . Research Interests Transfer learning for medical applications Dimensionality reduction techniques Bias detection in language models Classifier visualization tools Collaborations Center for Cognitive Interaction Technology (CITEC) Machine Learning Reports publications His recent publications highlight trends in dynamic graph analysis , semantic bias measurement , and physiological data generation . He has contributed to tools like the Box and Beans test for prosthetics evaluation and DeepView for classifier boundary visualization. Collaborative projects include cardiovascular data synthesis for implantable devices and fairness-aware AI frameworks. Dr. Schulz works at CITEC 2-228 and is reachable at aschulz@techfak.uni-bielefeld.de . His work integrates theoretical machine learning with practical implementations in healthcare and industrial systems.

Vladimir Mladenovićمشاهده پروفایل

استاد

• Symbolic computation and processing
• Artificial intelligence and machine learning
• Deep learning and neural networks
• +۷ مورد دیگر

Prof. Dr. Vladimir Mladenović is a Full Professor at the Department of Information Technologies , Faculty of Technical Sciences in Čačak , University of Kragujevac , Serbia. A 1975 native of Paraćin, he earned his Dipl. Ing. from the Faculty of Electronic Engineering, University of Niš (2000), followed by an M.Sc. (2005) and Ph.D. in Technical Sciences (2009) from the University of Kragujevac. His career spans industry (IT Manager, Serbian Glass Factory, 2001–2004), secondary education (teacher, 2004–2009), and academia (Professor of Vocational Studies, 2009–2013) before joining the University of Kragujevac. Research Focus: Symbolic software & tools, higher integration in IT systems Signal & multimedia processing, computer vision & AI/ML 5G/IoT architectures, edge computing, data protection Modern communication systems, web & network technologies He directs the Digital Innovation Lab at his faculty and has authored over 100 peer-reviewed publications in leading journals and conferences, with a strong emphasis on cross-layer modeling, deep learning, and IoT applications. He also co-holds 18 Serbian utility patents covering smart IoT systems ranging from greenhouse monitoring to smartwatch data collection, fire detection, and pedestrian safety. Honors & Professional Standing: Licensed Technology-Transfer Engineer – WIPO & Intellectual Property Office of Serbia (2012) Member, Union of Engineers and Technicians of Serbia Teaching Portfolio: Undergraduate: Modern Software Architectures, Multimedia Systems, Data Protection Master: Modern Communication Systems, Web Programming Doctoral: Modern Network Technologies, Applied Computer Vision

• Management
• Operations Research
• Decision Support Systems
• +۳ مورد دیگر

Prof. Dr. Zoran Nešić is a Full Professor at the Department of Industrial Management, Faculty of Technical Sciences in Čačak, University of Kragujevac, Serbia. With over 30 years of professional experience in academia and industry, he has established himself as a leading expert in management, operations research, and decision support systems. Nešić earned his B.Sc. in Production Engineering and Organization from the Faculty of Mechanical Engineering at the University of Kragujevac in 1992, followed by his M.Sc. in Informatics and Computer Science Methodology in 2000, and his Ph.D. in 2008 with a dissertation on 'Contribution to the application of Internet technology in the management information system based on interactive analytical processing.' Professor Nešić's research primarily focuses on management and operations research , with particular expertise in multi-criteria decision making, business intelligence, and information systems. His work bridges theoretical frameworks with practical applications in industrial management, contributing significantly to optimization methodologies in production planning, resource allocation, and strategic decision-making processes. He has developed numerous software solutions for production monitoring, capacity utilization, and investment project selection, demonstrating his commitment to translating research into tangible business improvements. An analysis of Professor Nešić's recent publications reveals a consistent focus on applying advanced computational methods to management problems. His work increasingly integrates neuro-fuzzy systems , machine learning , and multi-criteria decision analysis to address complex industrial challenges. Recent research spans diverse applications including production optimization, environmental protection decision-making, structural engineering analysis, and resource management, demonstrating the versatility and applicability of his methodological approaches. Professor Nešić has served as a mentor for two doctoral dissertations and has participated in numerous research projects funded by the Ministry of Education and Science of the Republic of Serbia. His involvement in selection committees for academic positions demonstrates his standing within the academic community. Throughout his career, he has secured continuous research funding, with projects spanning from 2011 through 2025, reflecting sustained scholarly productivity and relevance. His technical expertise extends to the development of practical software solutions, with multiple technical solutions adopted by the Faculty of Technical Sciences in Čačak. These include applications for production cycle optimization, capacity utilization analysis, and multi-criteria decision support, demonstrating his ability to translate theoretical research into practical tools for industry.

Marina Miloševićمشاهده پروفایل

دانشیار

• Medical Image Processing
• Breast Cancer Detection
• Biomedical Engineering
• +۷ مورد دیگر

Dr. Marina Milošević is an Associate Professor at the Department of Computer and Software Engineering, Faculty of Technical Sciences in Čačak, University of Kragujevac. She specializes in medical image processing, particularly breast cancer detection using thermography and mammography, along with database systems and human-computer interaction. Her work bridges computer engineering with biomedical applications, focusing on practical implementations for healthcare improvement. Her educational background includes a Bachelor's degree in Computer Engineering from the Technical Faculty in Čačak (2010, GPA 9.47) and a PhD from the Faculty of Electronics, University of Niš (2016). She has received multiple awards for academic excellence and was a scholarship recipient from several prestigious institutions including the Fund for Young Talents and the Ministry of Education of Serbia. Dr. Milošević's research interests focus on medical image processing, particularly breast cancer detection using thermography and mammography. She has developed systems for remote mammogram processing and comfort level classification during patient transport. Her work also extends to database systems, geographic information systems, and human-computer interaction. She holds multiple professional certifications in database technologies from INTERGRAPH and ORACLE ACADEMY. Her publication record shows a strong trend toward interdisciplinary research combining computer engineering with medical applications. Recent work has expanded into transportation systems, earthquake detection using mobile phones, and agile software development methodologies. Her research consistently focuses on practical implementations with real-world applications, particularly in healthcare diagnostics and monitoring. Scholarship recipient of the Fund for Young Talents Scholarship recipient of the University of Kragujevac Scholarship recipient of the Ministry of Education of the Republic of Serbia Vuk Karadžić diploma for exceptional academic performance Dr. Milošević teaches across all academic levels, from Bachelor's courses in Fundamentals of Computer Engineering and Databases to PhD-level courses on Virtual Reality Applications in Medicine and Biomedical Image Processing. Her work on a patent for a random number generator based on Geiger-Muller counter technology demonstrates her innovative approach to solving engineering problems. She has been actively involved in adapting engineering education for remote learning during the pandemic. She leads research in the Computer Science Laboratory at the Faculty of Technical Sciences, focusing on medical image processing systems and database applications. Her recent work includes developing web-based systems for remote mammogram processing and analyzing vehicle vibration signals for comfort assessment. She collaborates with researchers across multiple institutions on interdisciplinary projects that bridge computer engineering with healthcare applications.

Yves De Koninckمشاهده پروفایل

استاد

• Synaptic transmission
• Chronic pain mechanisms
• Neurophotonics
• +۷ مورد دیگر

Yves De Koninck is Professor of Psychiatry & Neuroscience at Laval University and Adjunct Professor of Pharmacology & Therapeutics at McGill University . He serves as Scientific Director of the Quebec Mental Health Institute, Director of Research at the Quebec Integrated University Health and Social Services Centre, Director of the Neurophotonics Center , and Scientific Director of the Sentinel North Initiative. Education & Training Ph.D. training supported by FRSQ & NSERC studentships at McGill University (1985–1990) Postdoctoral Fellowships from the Medical Research Council of Canada (1991–1994) Research Focus His laboratory investigates synaptic transmission, the delicate balance between excitation and inhibition in the brain and spinal cord, and how its disruption leads to chronic pain, Alzheimer’s disease, and autism. The team employs state-of-the-art neurophotonics and optogenetics to dissect cellular and molecular substrates of pathological conditions in the central nervous system. Mechanisms of chronic pain and hyperalgesia Synaptic plasticity in the sensory spinal cord Impact of ageing on cortical synapses Chloride homeostasis and neuronal excitability Scientific Awards & Honors 2022 Wilder-Penfield Prize, Government of Québec 2020 Education Award, Society for Neuroscience 2019 Emily Gray Award, Biophysical Society 2018 Brockhouse Canada Prize for Interdisciplinary Research 2017 Distinguished Career Award, Canadian Pain Society Canada Research Chair (Tier 1) in Chronic Pain and Related Brain Disorders (2016–2030) Fellow, Canadian Academy of Health Sciences (2013) Fellow, Royal Society of Canada (2015) Funding & Leadership Dr. De Koninck has secured major multi-institutional grants, including a $4.3 M Brain Canada Platform Grant for the Canadian Optogenetics and Vectorology Foundry and leadership of the DecodePain International Research Project launched in 2025. Laboratory & Team The De Koninck lab is home to 8 Ph.D. students, 4 postdoctoral fellows, and several research assistants and staff, all dedicated to advancing understanding of the nervous system through cutting-edge optical, electrophysiological, and computational approaches.

• Composite Materials
• Thermomechanical Characteristics of Fibrous Composites
• Information Systems in Economics
• +۲ مورد دیگر

Dr. Boguslavska Alla Mykhailivna is an Associate Professor at the Department of Information Technologies in Tourism, Faculty of Business Technologies and Economics, Zaporizhzhia Polytechnic National University. She holds a Candidate of Physical and Mathematical Sciences degree, defended in 2018 at Zaporizhzhia National University, and has been an active researcher in composite materials and information systems since 2015. Education: Master of Mathematics (Zaporizhia National University, 2011) Research Focus: Composite materials with anisotropic components, thermomechanical characteristics of fibrous composites, and information systems in personnel management Publications: 20+ scientific papers, including 3 in Scopus-indexed journals Languages: Ukrainian, English Professional Affiliation: Member of the International Foundation of Scientists and Educators Her recent work bridges cybersecurity with digital transformation while maintaining a strong foundation in mechanical stress analysis of composite structures. Publications from 2020–2022 highlight applications in customs administration automation and advanced modeling of transotropic fiber composites.

Pouya Ghotbiمشاهده پروفایل

مدرس

• Software Security
• DevSecOps
• Cloud Security
• +۴ مورد دیگر

Pouya Ghotbi is a Lecturer and Associate Director of Professional & Student Engagement at the School of Arts and Sciences within St. Bonaventure University , specializing in the M.S. Cybersecurity Program . With over 20 years of IT experience and 10 years focused on cybersecurity, he brings industry expertise from roles at top global security vendors and Big Four Australian banks. Education : M.S. in Computer Science from RMIT University, complemented by industry certifications from Microsoft, Cisco, Check Point, and more. His research and professional work spans Software Security , Cloud Security , and Identity & Access Management , emphasizing practical applications in DevSecOps and Network Security . He has extensive teaching experience, including roles as a head tutor and lecturer at RMIT University and TAFE Australia. Professional Background : Currently a Solutions Architect at a leading global security vendor, with prior experience designing complex security systems for tier-one financial institutions and telecommunications companies. Key Skills : Penetration Testing, DevSecOps, Cloud Security, Network Security, Identity & Access Management.

• Virtual Organization
• Virtual Collaborations
• Software Engineering
• +۴ مورد دیگر

Dr. Hoger Mahmud is an Assistant Professor in the Department of Computing and Informatics at the American University of Iraq, Sulaimani. He holds a Ph.D. in Computer Science from the University of Huddersfield, UK, and advanced degrees in Software Engineering and Computer Science from UK institutions. Ph.D., Computer Science, University of Huddersfield M.S., Advanced Software Engineering, University of Leicester B.S., Computer Science, De Montfort University His research focuses on virtual organizations, model-driven development, and software engineering for healthcare and infrastructure. He has contributed to methodologies for UML diagram evaluation, AR-based object manipulation, and blockchain applications in healthcare. His work bridges theoretical modeling with practical implementations in distributed systems and human-computer interaction. Dr. Mahmud has published 14 journal articles and a book chapter, with recent works spanning machine learning in engineering, telemedicine technologies, and social media data analysis. His awards include recognition by the KRG Ministry of Higher Education as a pedagogy trainer and qualifications from Finland’s HAMK University.

Nicholas Reinholtzمشاهده پروفایل

استادیار

• Consumer Behavior
• Financial Decision Making
• Judgment and Decision Making
• +۴ مورد دیگر

Nicholas Reinholtz is an Assistant Professor of Marketing at the Leeds School of Business, University of Colorado Boulder. He serves as Co-Director of the Center for Research on Consumer Financial Decision Making and holds the RK Landmark Faculty Scholar designation. Additionally, he is an Institute of Cognitive Science Fellow and previously served as a Postdoctoral Research Associate and Instructor. Dr. Reinholtz earned his Ph.D. in Marketing from Columbia University in 2015, with an M.Phil. in Marketing in 2012. He completed undergraduate degrees in Mechanical Engineering and Political Science from Virginia Tech in 2006, and participated in the MALS program at Reed College from 2007-2009. His research investigates consumer behavior with specific focus on financial decision making, product and price search, and the cognitive processes underlying choice. Dr. Reinholtz examines how people process numerical information, make judgments under uncertainty, and respond to different data presentations. His work explores mental accounting mechanisms, perceptions of financial slack, and understanding of investment diversification. His recent publications demonstrate how contextual factors influence consumer evaluations, how metric presentation affects uncertainty judgments, and how people process information when making decisions under risk. Dr. Reinholtz's work spans top journals including Journal of Consumer Research, Journal of Marketing, Management Science, and Cognition, with significant contributions to understanding consumer responses to pandemic data, contextual influences on product ratings, and cognitive costs in decision processes. RK Landmark Faculty Scholar (2023) Institute of Cognitive Science Fellow (2018) As Co-Director of the Center for Research on Consumer Financial Decision Making, Dr. Reinholtz leads initiatives examining consumer financial choices and how these decisions can be improved. His research has practical implications for financial education, consumer protection policies, and financial product design. He has also served as a Financial Economist at the United States Securities and Exchange Commission from 2023-2024, applying his research expertise to regulatory contexts. Dr. Reinholtz actively collaborates with interdisciplinary teams through the Center for Research on Consumer Financial Decision Making and the Institute of Cognitive Science at CU Boulder to advance understanding of consumer financial behavior and its real-world applications.

Satoshi Kanekoمشاهده پروفایل

استاد آموزشی

• Epidemiology
• Infectious Diseases
• Non-Communicable Diseases
• +۳ مورد دیگر

Satoshi Kaneko is a Teaching Professor at the Graduate School of International Health Development, Nagasaki University, with a focus on epidemiology and health systems in developing regions. He holds additional roles as Visiting Lecturer at Tohoku University and Visiting Scientist at Osaka Kyoiku University. Specializes in infectious diseases, non-communicable diseases (NCDs), maternal and child health, and cancer surveillance. Led health and demographic surveillance systems (HDSS) in Kenya and Laos. Developed microsphere-based assays for multiplex disease detection in Africa. Advocates for IT-driven data collection tools in low-resource settings. Served as Head of Cancer Surveillance at Japan's National Cancer Center (2001-2005). His research bridges fieldwork and academia, emphasizing problem-driven solutions. Publications highlight community-based interventions for malaria, dengue, and nutrition-related challenges. He contributes to journals as Associate Editor of the Journal of Epidemiology and councilor in the Japanese Society of Tropical Medicine.

Sarah Robertsمشاهده پروفایل

استادیار

• Information work and workers
• Library and information organizational management
• IT infrastructure and planning
• +۵ مورد دیگر

Sarah Roberts serves as an Assistant Professor in the Department of Information Studies within the Graduate School of Education and Information Studies at the University of California, Los Angeles (UCLA). Her academic profile centers on the critical examination of digital labor, particularly the hidden work of content moderation, and the societal implications of information technologies across global contexts including Southeast Asia. Her educational background includes: Ph.D. in Library and Information Science from the University of Illinois at Urbana-Champaign M.A. in Library and Information Studies from the University of Wisconsin-Madison B.A. in French and Spanish with a Certificate in Women’s Studies from the University of Wisconsin-Madison Roberts' research interests encompass information work and workers, library and information organizational management, IT infrastructure and planning, social media and the Internet, digital economy, internet governance and policy, digital ethics, and analog gaming. She is a leading scholar in commercial content moderation, having pioneered critical studies on the labor conditions of social media content moderators through ethnographic fieldwork and theoretical analysis that bridges information science with critical race theory and labor studies. An analysis of her recent publications (2020-2024) reveals a consistent trajectory examining structural racism in technology platforms, the human dimensions of AI development, mental health impacts on content moderators, and governance failures in social media ecosystems. Her work consistently demonstrates how commercial content moderation constitutes digital 'dirty work' performed predominantly by marginalized global labor forces, while connecting platform design to systemic issues of algorithmic bias, digital discrimination, and corporate accountability in the attention economy.

Richard Weissbourdمشاهده پروفایل

مدرس ارشد

• Adolescence/Adolescent Development
• College Access and Success
• Counseling and Mental Health
• +۱۰ مورد دیگر

Richard Weissbourd is a Senior Lecturer on Education at the Harvard Graduate School of Education, where he focuses on moral development, vulnerability and resilience in childhood, parenting, and effective schools and services for children. He directs the Making Caring Common Project, a national effort to prioritize moral and social development in child-raising, and leads the Turning the Tide initiative that has engaged over 300 college admissions offices to reform the college admissions process. His work spans research, policy, and practical interventions aimed at improving children's well-being and educational outcomes. Dr. Weissbourd received his Ed.D. from Harvard University in 1987. His academic journey has focused on understanding and addressing the complex challenges facing children and youth in America's educational and social systems. Dr. Weissbourd's research interests center on moral, civic, and ethical education, with particular emphasis on how to cultivate caring, ethical, and socially responsible young people. His work explores vulnerability and resilience in childhood development, examining how family dynamics, school environments, and community contexts shape children's emotional and moral growth. He investigates how parenting practices can either support or undermine children's moral development, challenging conventional wisdom about achievement culture and its effects on youth well-being. His research also addresses educational inequality, college access, and mental health challenges among adolescents, with recent work focusing on loneliness and social connection in the post-pandemic era. His recent publications demonstrate a consistent focus on moral development, social-emotional learning, and educational reform. Across his body of work, Weissbourd emphasizes the importance of cultivating empathy, ethical reasoning, and social responsibility in young people. His research spans practical parenting guidance, school-based interventions, and systemic reforms in college admissions. A recurring theme is how to balance achievement expectations with moral development, addressing how excessive pressure for success can undermine children's emotional health and ethical growth. His work increasingly addresses contemporary challenges like pandemic-related social isolation, political polarization, and the crisis in youth mental health. Dr. Weissbourd has received significant recognition for his contributions to education and child development: Runner Up, National Awards for Education Reporting 2012 for "Promoting Moral Development in Schools" Awarded One of Top 10 Education Books of All Time by American School Board Journal for "The Vulnerable Child" Best Editorial Award from Association of Educational Publishers for "The 'Quiet' Troubles of Low Income Children" Book "The Parents We Mean to Be" selected by New Yorker reviewers as one of the top 24 nonfiction books of 2009 As director of the Making Caring Common Project, Weissbourd has secured significant funding from organizations including the Entertainment Industry Foundation, Einhorn Collaborative, Rockefeller Philanthropy Advisors, and the Walton Family Foundation. His current sponsored projects focus on addressing youth mental health crises, cultivating moral development on college campuses, and expanding the Choose Kindness Project to reach underserved communities. These initiatives reflect his commitment to translating research into practical resources for educators, parents, and policymakers. Dr. Weissbourd founded several impactful interventions including ReadBoston and WriteBoston, city-wide literacy initiatives led by Mayor Menino, and co-founded the Lee Academy, a pilot school in Boston serving children from age 3. Through Making Caring Common, he has established a robust research and practice framework for promoting caring and ethical development in schools and communities, creating resources that have been adopted by educational institutions nationwide.