جست‌وجوی استاد و پژوهشگر

Abi Stoneمشاهده پروفایل

استاد

• Quaternary Science
• Physical Geography
• Geoarchaeology
• +۴ مورد دیگر

Dr. Abi Stone is a Reader in Physical Geography at the University of Manchester since 2024, specializing in Quaternary environmental change and dryland systems. She holds expertise in luminescence dating, geoarchaeology, and hydrogeology. Her research focuses on understanding climatic and environmental shifts in deserts and their impacts on human migration, with active projects in the Namib Sand Sea, Saudi Arabia, and the Himalayas. She leads the MERI Earth History, Palaeoenvironments, and Archaeology theme and is affiliated with the Quaternary Environments and Geoarchaeology research groups. Education: DPhil (2009) in Quaternary Science from the University of Oxford, MSc (2004) from Royal Holloway, and BA (2003) in Geography (1st class) from the University of Oxford. Administrative Roles: Currently coordinates Postgraduate Research in Physical Geography and has held roles such as MERI Theme Champion and QEG Research Group Convener. External roles include External Examiner for Royal Holloway’s MSc Quaternary Science and the University of Gloucestershire’s BSc Geography. Research Interests: Interdisciplinary work combining Quaternary science, archaeology, and geomorphology. Key projects include the Leverhulme-funded PANS project studying human occupation in the Namib Sand Sea and collaborations on Saudi Arabian geoarchaeology. Active grants include the WiSH project (INQUA) and Manchester-Melbourne-Toronto initiatives. Awards: Recognized for teaching excellence with the Innovator of the Year (2019) and Outstanding PGT Dissertation Supervisor (2022). Supervised 4 PhD students and contributed to over 67 research outputs. Teaching: Convenes courses on Dryland Environments, Geomorphology, and fieldwork in the Pyrenees, while co-teaching advanced modules on environmental governance and decolonizing geography.

• Mental Health Policy
• Implementation Science
• Health Equity
• +۳ مورد دیگر

Briana Last is an Assistant Professor in the Department of Psychology at Stony Brook University, specializing in Clinical Psychology. She holds a PhD from the University of Pennsylvania (2022) and focuses on improving mental health service accessibility and quality through interdisciplinary research. Her research emphasizes three core domains: social determinants of mental health, implementation strategies for service improvement, and structural factors influencing clinician decision-making. She employs mixed methods and community-based participatory approaches, prioritizing marginalized populations affected by systemic inequities. Key interests include behavioral health workforce development, policy analysis, and dismantling barriers to equitable mental healthcare. Her lab, the Mental Healthcare for All Lab, collaborates with governments, agencies, and clinicians to translate research into actionable policies. Notable projects address clinician burnout interventions, public mental health system gaps, and anti-transgender policy impacts. Recent work critiques scientifically unfounded bans on gender-affirming care and evaluates federal loan repayment programs for mental health workforce retention. Publications span topics like AI chatbots in mental health, state policy effects on LGBTQ+ populations, and trauma therapy implementation. Her work highlights how clinician work conditions directly shape patient care quality, advocating for systemic changes to enhance both provider well-being and patient outcomes.

Daniel M. Parkerمشاهده پروفایل

استاد پژوهشی

• Spatial Epidemiology
• Malaria Research
• Global Health
• +۳ مورد دیگر

Dr. Daniel M. Parker is a Research Professor in the Department of Public Health at the University of California, Irvine. He holds a Ph.D. and has conducted postdoctoral research at the Shoklo Malaria Research Unit (a joint program of Mahidol University and the University of Oxford). His work focuses on spatial epidemiology and spatial demography, particularly in the context of infectious diseases like malaria. He has contributed to global health initiatives addressing malaria elimination in Myanmar, Thailand, Cambodia, and Syria. His research integrates geographic information systems (GIS), demographic models, and community engagement to combat health challenges in conflict zones and refugee settings. Key areas of research include malaria epidemiology, mass drug administration strategies, and the health impacts of population displacement. He has authored over 20 peer-reviewed articles on topics such as spatial clustering of malaria, the effects of air raids on disease incidence, and the role of herd protection in malaria control. His work emphasizes interdisciplinary approaches to address complex health systems challenges in resource-limited settings. Education: Ph.D. in Public Health (2014) Affiliations: Shoklo Malaria Research Unit, Mahidol-Oxford Tropical Medicine Research Unit Key Projects: Malaria Elimination Task Force in Eastern Myanmar, refugee health studies in Thailand-Myanmar border camps Dr. Parker’s research has informed policy on malaria control, including interventions targeting asymptomatic reservoirs and spatial analysis of disease hotspots. His work on the intersection of human migration and disease transmission highlights the need for holistic health approaches in conflict and displacement scenarios.

Thomas Richterمشاهده پروفایل

استاد

• Executive Personalization
• Global Political Economy
• Structural Adjustment and Sectoral Transformation
• +۳ مورد دیگر

Thomas Richter is a leading academic and Professor at the German Institute for Global and Area Studies (GIGA) , where he serves as Lead Research Fellow and Head of the Research Programme "Accountability and Participation" . His work focuses on the institutional and material determinants of authoritarian rule , executive personalization , and global political economy , particularly in the Middle East and North Africa region. Education: PhD in Political Science (summa cum laude) at the University of Bremen (2008); studies at Eberhard-Karls University Tuebingen and University of Michigan, Ann Arbor. His research explores the interplay of rentier statehood and economic reforms , civil society under authoritarian regimes , and shrinking civic spaces . Recent projects include the Merian Center for Advanced Studies in the Maghreb (MECAM) and the Monitoring System and Transfer Platform Radicalisation (MOTRA) , funded by BMBF and DFG. Richter has published extensively on topics such as anti-Semitism , executive power dynamics , and public opinion on military service in Germany. He has received notable awards, including the Lijphart/Przeworski/Verba Data Set Award (2017) and the Gero Erdmann-Preis für vergleichende Area-Forschung (2022) . His collaborative work spans institutions like the WZB Berlin and Université de Tunis . Richter is also a co-editor of the Perspectives on the Maghreb series with Amsterdam University Press.

Lesley A Sharpمشاهده پروفایل

استاد

• Medical Anthropology
• Bioethics
• Human-Animal Relations in Science
• +۳ مورد دیگر

Lesley A Sharp is the Barbara Chamberlain & Helen Chamberlain Josefsberg ’30 Professor of Anthropology at Barnard College. She holds a joint appointment as Senior Research Scientist in Sociomedical Sciences at the Mailman School of Public Health (Columbia University) and is a Fellow of the Center for Animals and Public Policy at Tufts University's Cummings School of Veterinary Medicine. Her research spans medical anthropology, bioethics, and human-animal relations, with fieldwork in the U.S., Anglophone countries, and Madagascar. Education : Joint Ph.D. from UC Berkeley/UCSF, M.A. from UC Berkeley, B.A. from Brandeis University Sharp's academic focus encompasses the symbolics of the human body, youth and identity politics in postcolonial Africa, organ transplantation ethics, and the moral consequences of experimental science. Her recent work examines human-animal interactions in laboratory research and carceral healthcare settings. Her publications bridge Medical Anthropology , Science and Technology Studies , and Animal Ethics . Key themes include the commodification of bodily materials, ethical dilemmas in transplantation, and interspecies responsibility in biomedical innovation. Scientific Awards : Guggenheim Fellowship (2020), Wellcome Medal (2019), Leah M. Ashe Prize (2022), New Millennium Book Award (2008), MASA Mentor Award (2019) Sharp has received external grants from the Wenner-Gren Foundation and Barnard College, with research exploring the moral economies of biotechnology , postcolonial African identity , and bioethical frontiers . Her academic leadership includes teaching awards and endowed chair positions.

Amy Damashekمشاهده پروفایل

استاد

• Child Maltreatment Prevention
• Injury Prevention
• Infant Mortality
• +۴ مورد دیگر

Dr. Amy Damashek serves as Professor in the Department of Psychology at Western Michigan University, teaching undergraduate and graduate courses while mentoring Clinical Psychology doctoral students. She chairs the department's Diversity, Equity, and Inclusion Committee and maintains an active research program focused on vulnerable populations. Education: Ph.D. in Psychology, University of Missouri-Columbia (2007) Postdoctoral Fellowship, University of Oklahoma Health Sciences Center (2009) Research Focus: Her work centers on preventing child maltreatment and unintentional injuries among at-risk youth, with specialized expertise in infant sleep-related deaths and health disparities . She develops culturally responsive parenting interventions for low-income and Spanish-speaking families, emphasizing community-based solutions through home visiting programs. Publication Trends: Recent work (2020-2023) demonstrates consistent focus on pandemic adaptation of family services, safe sleep practices in marginalized communities, and digital intervention strategies. Her mixed-methods approach bridges clinical psychology with public health, prioritizing implementation in real-world settings. Scientific Recognition: Fellow of the American Psychological Association Former President of APA Division 37 (Society for Child and Family Policy and Practice) Grants & Mentoring: Secured federal funding for child injury prevention in underserved communities. Mentors Clinical Psychology doctoral students with emphasis on culturally competent practice, accepting new graduate students for Fall 2025. Her federally funded work directly informs evidence-based home visiting protocols. Research Ecosystem: Collaborates extensively with community health workers, home visiting agencies, and pediatric care providers to implement and evaluate interventions addressing structural barriers in family support systems.

• Marketing Strategy
• Pricing Strategy
• Advertising Strategy
• +۳ مورد دیگر

Wilfred Amaldoss is the Thomas A. Finch Jr. Professor of Marketing at Duke University's Fuqua School of Business. He holds a Ph.D. in Marketing from the Wharton School (University of Pennsylvania) and an MBA from the Indian Institute of Management, Ahmedabad. Previously, he taught at Purdue University's Krannert Graduate School of Management. His research focuses on strategic behavior in pricing, advertising, and competitive dynamics. Notable areas include pricing strategies for prototypical products, the impact of social influence on branding, and sponsored search advertising mechanisms. He has published in top journals like Journal of Marketing Research and Management Science . Amaldoss has received multiple awards, including the Frank M. Bass Award (2001) for exceptional Ph.D.-derived research and the John C. Little Award for outstanding marketing papers. His teaching excellence is recognized through awards such as the Duke MBA Excellence in Teaching Award (2008, 2009, 2019) and the Salgo Noren Outstanding Teacher Award (2000–2001). He serves as an Associate Editor for Management Science and Journal of Marketing Research , and has been honored with the Distinguished Service Award by Management Science (2009–2011). His work bridges theoretical contributions with practical insights into consumer behavior and strategic business decisions.

Qing Changمشاهده پروفایل

استاد

• Smart Manufacturing
• Cyber-Physical Systems
• Real-time Production Control
• +۵ مورد دیگر

Qing (Cindy) Chang is a Professor in the Department of Mechanical Engineering at the University of Virginia. Her research focuses on cyber-physical systems for smart manufacturing, real-time production control, and human-robot collaboration. Prior to academia, she worked at General Motors, earning three Boss Kettering Awards for innovation. She holds an M.S. from the University of Wisconsin-Madison and a Ph.D. in Manufacturing from the University of Michigan. Education: M.S. in Mechanical Engineering, University of Wisconsin - Madison Ph.D. in Manufacturing, University of Michigan – Ann Arbor Research Interests: Cyber-Physical Systems for Smart Manufacturing Real-time Production Control Knowledge-guided Machine Learning-based Control Human-Robot Collaboration in Industrial Settings Intelligent Maintenance and Energy Management Awards: 20 most influential professors in smart manufacturing (2020) NSF CAREER Award (2014) General Motors Boss Kettering Awards (2005, 2006, 2008) GM R&D Charles L. McCuen Special Achievement Awards (2005, 2006, 2008) Leadership & Grants: She serves on the board of NAMRI/SME and holds editorial roles in ASME, IEEE, and SME journals. Her work bridges AI, robotics, and manufacturing systems, with notable grants including the NSF CAREER Award. Labs & Teams: Her Intelligent Systems Lab develops AI-driven solutions for manufacturing efficiency and sustainability, focusing on energy management, predictive analytics, and human-robot collaboration.

• Computer Science Education
• AI in Education
• AI Literacy
• +۵ مورد دیگر

Michael O'Dea is a Senior Lecturer in the Department of Computer Science at the University of York, United Kingdom. He has held previous academic positions at York St John University, Beijing University of Technology, University of Hull, and Waikato Institute of Technology, bringing extensive international experience in computer science education. He is actively engaged in pedagogical scholarship and leadership in higher education innovation. Senior Lecturer, Department of Computer Science, University of York Senior Lecturer in Computer Science, York St John University Lecturer in Software Engineering, Beijing University of Technology, China Lecturer in Computer Science, University of Hull Lecturer in Information Technology, Waikato Institute of Technology, NZ Dr. O'Dea earned his Ed.D. in Computer Based Learning from the University of Leeds. His research centers on the integration of artificial intelligence into educational practices, with a strong emphasis on AI literacy, the effectiveness of generative AI in teaching and learning, and the evolving landscape of technology acceptance in higher education. He investigates how AI tools can enhance student learning, faculty development, and institutional policy. His recent publications span topics such as AI literacy assessment, the future of online and blended learning, the application of machine learning in earthquake prediction, and international study abroad effectiveness. These works reflect a broad interdisciplinary approach, combining computer science, educational theory, and policy analysis. His scholarship is increasingly focused on the transformative potential of generative AI in academic settings, as evidenced by his leadership in special journal issues and funded research projects. Dr. O'Dea holds significant editorial responsibilities as Associate Editor and Lead Guest Editor for the Journal of University Teaching and Learning Practice and as Guest Editor for a special issue in Education Sciences on generative-AI-enhanced learning. He is also an Invited External Academic Affiliate at the King's Institute for Artificial Intelligence, King's College London. Associate Editor - Special Issues, Journal of University Teaching and Learning Practice Lead Guest Editor, Special Issue on Technology Acceptance Models, JUTLP (2024) Guest Editor, Special Issue on Generative-AI-Enhanced Learning, Education Sciences Principal Investigator, QAA Collaborative Enhancement Project on Graduate Attributes in the Era of GenAI (2025) He has delivered numerous invited talks and workshops at institutions such as the University of York, Queen Mary University of London, and international conferences including the Academy of Management and the International Conference on Artificial Intelligence in Education. His work bridges research, practice, and policy in higher education, with a strong commitment to inclusive and innovative teaching methodologies.

Rosella Gennariمشاهده پروفایل

دانشیار

• Human-Computer Interaction
• Interaction Design
• Technology-Enhanced Learning
• +۱۱ مورد دیگر

Rosella Gennari is an Associate Professor in Computer Science at the Faculty of Engineering, Free University of Bozen-Bolzano, where she conducts research and teaches in Human-Computer Interaction (HCI). Her work is centered on designing interactive technologies for children, focusing on physical-digital (phygital) artefacts, Technology-Enhanced Learning (TEL), and inclusive design. She leads the Research Unit Human-Centred Intelligent Systems and is actively involved in institutional leadership, including serving on the Third-Mission Board. Ph.D. : Computer Science, Amsterdam University (2002) Postdoctoral Experience : CWI, Amsterdam (ERCIM Alain Bensoussan Fellow); FBK-irst, Trento Leadership : Scientific & Technological Coordinator of the FP7-EU TERENCE project Her research explores how children interact with and design smart technologies, including IoT and AI, through playful and tangible interfaces. She investigates socio-emotional learning, digital well-being, and responsible design, often employing participatory and action research methods. Her work bridges computer science, education, and social impact, aiming to empower young learners as co-creators of technology. The analysis of her recent publications reveals a strong trend in developing and evaluating toolkits and frameworks for children and pre-teens to engage in designing smart things, IoT systems, and sustainable cities. Her work consistently emphasizes inclusivity, reflection, and responsible design, often in collaboration with teachers and learners. The publications span top HCI venues and journals, demonstrating a focus on practical applications in educational settings and the impact of technology on young users. Scientific Awards and Recognition ERCIM Alain Bensoussan Fellowship for talented young researchers Editorial Board Member, Journal of Child Computer Interaction (Elsevier, Q1) Regular reviewer for top HCI conferences and journals Advising and Grants : While specific advisees are not listed, her leadership role in the FP7-EU TERENCE project and numerous other research initiatives indicates extensive experience in securing and managing competitive grants. She mentors students through her research group and teaching, fostering the next generation of HCI researchers. Her collaborative network is extensive, with frequent co-authorship with researchers such as Alessandra Melonio, Maristella Matera, and Mehdi Rizvi. Labs and Teams : She leads the Human-Centred Intelligent Systems research unit, which serves as her primary lab and team. This group focuses on placing humans at the center of computer science and information engineering research. She is also a core member of the organizing committee for the MIS4TEL international conference series, highlighting her role in building and sustaining a global research community in Technology-Enhanced Learning.

Elina Rönnbergمشاهده پروفایل

استاد

• Discrete Optimisation
• Mathematical Optimisation
• Scheduling
• +۱۸ مورد دیگر

Elina Rönnberg is a Professor and Deputy Head of Department at the Department of Mathematics, Linköping University, where she leads research in discrete optimisation and intelligent decision-making. Her work bridges theoretical method development and real-world applications in sectors such as healthcare, aviation, mining, and transportation. She is actively involved in the Wallenberg AI, Autonomous Systems and Software Program (WASP) and has collaborated with industry leaders like Saab and Scania. Her research focuses on advanced optimisation techniques including Dantzig-Wolfe decomposition, Lagrangian relaxation, column generation, branch-and-price, and logic-based Benders decomposition. She also explores hybrid methods combining mathematical programming with constraint programming and machine learning. Applications span nurse rostering, electric vehicle routing, aircraft arrival scheduling, and underground mine planning. Recent publications highlight a strong trend toward integrating AI and machine learning—particularly graph neural networks—with classical optimisation frameworks to accelerate solution methods. Her work emphasizes practical impact, robustness, and scalability in solving complex scheduling and resource allocation problems. Nurse Rostering with Strategic Planning of Skills for Sick-Leave Robustness (2024) Pricing for the EVRPTW with Piecewise Linear Charging (2024) Speeding Up Logic-Based Benders Decomposition with Graph Neural Networks (2024) Elina supervises several PhD students and has co-supervised doctoral research at international institutions including Makarere University (Uganda) and the University of Exeter (UK). She has contributed to applied projects through student theses in collaboration with Scania and Saab, focusing on electric vehicle routing and search-and-rescue optimisation. She previously served as a Specialist in Optimisation at Saab Aeronautics (2014–2020) and co-founded Schemagi, a scheduling tool aimed at improving quality in healthcare. She teaches courses such as Introduction to Optimization (TAOP07) and Project - Applied Mathematics (TATA62). Her research group, 'Mathematics and algorithms for intelligent decision-making,' operates within the Division of Applied Mathematics (TIMA) at the Department of Mathematics. The team develops decision support tools that enhance efficiency and sustainability in complex systems, particularly under the growing demands of electrification and digitalisation in transport and logistics.

John Josephمشاهده پروفایل

استاد

• Organizational Design
• Artificial Intelligence and Organization
• Strategic Decision Making
• +۷ مورد دیگر

John Joseph is a Professor of Strategy and Entrepreneurship at the Paul Merage School of Business, University of California, Irvine. His research and teaching focus on organizational design, strategic decision-making, innovation, and the integration of artificial intelligence in business strategy. He is actively involved in editorial leadership as Senior Editor at Organization Science and former editor of the Journal of Organization Design . PhD, Kellogg School of Management, Northwestern University MBA, Wharton School, University of Pennsylvania John Joseph's research centers on how organizations can be designed to enhance innovation, strategic planning, and decision-making. His work explores the role of attention, feedback mechanisms, and AI in shaping strategic outcomes. He investigates organizational structures in technology and healthcare sectors, with a focus on platform ecosystems and community-driven innovation. His recent publications and research projects examine AI-enabled organizational transformation, mobile industry innovation, and healthcare system design. The body of work shows a strong trend toward behavioral strategy, integrating cognitive and structural perspectives to understand how firms adapt and grow. 2017 Ralph Gomory Award, Industry Studies Association John Joseph has advised numerous organizations including General Electric, Samsung Electronics, Molina Healthcare, and UC Irvine. He has received multiple teaching awards and has taught in full-time, part-time, and executive education programs at Kellogg, Duke, and UC Irvine. He serves as Chair of the Behavioral Strategy Interest Group of the Strategic Management Society. His research is supported by engagements with centers such as the Center for Health Care Management and Policy and the Beall Center for Innovation and Entrepreneurship at UCI.

• Artificial Intelligence
• Optimization
• Machine Learning
• +۷ مورد دیگر

Sebastian Pokutta is a Professor at Technische Universität Berlin, Vice President at the Zuse Institute Berlin (ZIB), and Chair of the Cluster of Excellence MATH+ and MODAL. His research lies at the intersection of Artificial Intelligence, Optimization, and Machine Learning, with applications in sustainability, quantum computing, and mathematical discovery. Research Interests: Development of novel optimization algorithms, particularly Frank-Wolfe and Conditional Gradient methods. Integration of machine learning with decision-making and combinatorial optimization. AI for Science (AI4Science), including applications in quantum mechanics and ecology. AI and creativity, human-AI co-creativity, and social science modeling using multi-agent LLMs. His recent publications (2025) demonstrate a strong focus on scalable optimization, interpretability, and algorithmic foundations. The work spans theoretical advances in convergence analysis, practical implementations in Julia (FrankWolfe.jl), and real-world deployments in biomass estimation and quantum certification. Scientific Awards: Gödel Prize (2023) STOC Test of Time Award (2022) Science Prize of the Association for Pediatric Orthopedics (2025) Google Research Awards (2021, 2020) NSF CAREER Award (2015) He advises a vibrant research group, with former students and postdocs securing faculty positions at institutions like Inria, Carlos III University, and James Madison University. His group has received funding from Google, DFG, and Math+, and he leads major collaborative efforts such as the Thematic Einstein Semester on Mathematical Optimization for Machine Learning. Labs and Teams: Interactive Optimization and Learning Lab at TU Berlin and ZIB. Leadership in MODAL and MATH+ research clusters, fostering interdisciplinary collaboration in mathematical optimization and AI.

• Fuzzy Logic
• Multi-criteria Decision Making
• Decision Science
• +۳ مورد دیگر

Başar Öztayşi is a Professor at the Department of Industrial Engineering , Istanbul Technical University , with expertise in fuzzy logic, multi-criteria decision making, and decision science. He has held administrative roles including Associate Professor (2017–present), Deputy Director of the Institute (2016–2017), and Assistant Professor (2013–2017). Fields of Study : Fuzzy Logic, Multi-criteria Decision Making, Decision Science Contact : oztaysib@itu.edu.tr , +90 212 293 1300 Research Interests focus on applying fuzzy set theory to complex decision problems, including financial management, risk assessment, and smart city energy systems. His work extends to industry 4.0 applications and process mining in e-commerce. Recent Publications (2024) analyze fuzzy approaches in financial management, risk assessment, and Industry 4.0, with subfields spanning bibliometric trends, allocation optimization, and sustainable energy planning. Earlier works explore AHP matrix consistency, file distribution models, and customer segmentation. Awards : Best Paper Award, FLINS 2018 Science - Art Awards

Slava Jankinمشاهده پروفایل

استاد

• Artificial Intelligence
• Machine Learning
• Natural Language Processing
• +۳ مورد دیگر

Slava Jankin is a Professor of Data Science and Government at the University of Birmingham’s School of Government, where he also serves as Deputy Director of the Institute for Data and AI and Founding Director of the Centre for Artificial Intelligence in Government. He is concurrently a Fellow and Founding Director of the Data Science Lab at the Hertie School in Berlin. Previously, he held a Professorship at the University of Essex and has worked at University College London (UCL) and the London School of Economics (LSE). His research bridges computational methods, governance, and climate policy, with a focus on AI applications in public institutions, climate-health surveillance, and misinformation resilience. Jankin earned a PhD in Political Science from Trinity College Dublin (2009), a Postgraduate Diploma in Statistics (2006), and a BSc from Belarus State Economic University (2002). **Education**: • PhD in Political Science, Trinity College Dublin (2009) • Postgraduate Diploma in Statistics, Trinity College Dublin (2006) • BSc Econ with Distinction, Belarus State Economic University (2002) **Research Interests**: Jankin’s work integrates AI and computational methods with governance challenges, including climate policy, health surveillance, and institutional effectiveness. He leads initiatives like the Lancet Countdown’s climate-health monitoring and the CATALYSE project on climate impacts. His research also explores digital twins for governance systems and the role of cultural diversity in societal resilience against misinformation. **Grants & Collaborations**: He advises the UN and EU on AI and data science, co-leads the Lancet Countdown, and collaborates with institutions like the Alan Turing Institute. His applied work includes developing AI tools for public service optimization and policy simulations. **Labs & Teams**: Directs the Centre for AI in Government (University of Birmingham) and the Hertie School’s Data Science Lab, fostering interdisciplinary teams to advance computational methods in public policy.