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Lisa NathanView profile

Associate Professor

• Climate Justice Informatics
• Indigenous Information Studies
• Information Ethics & Policy
• +2 more

Lisa Nathan is an Associate Professor and current PhD Program Chair at the University of British Columbia's School of Information, situated on unceded Musqueam territory. Her academic home resides within the Department of Library, Archival and Information Studies under the Faculty of Arts, where she directs doctoral studies and teaches specialized courses in information ethics and climate justice. Her research examines the critical intersection of information policy, sustainability, and Indigenous knowledge systems, exploring how information ecosystems shape societal values through frameworks like climate justice and multi-lifespan design. Nathan's work consistently centers on disrupting colonial information practices while developing ethical alternatives through community-engaged scholarship, particularly evident in her collaborations with Indigenous communities on language preservation and cultural protocols. Analysis of her recent publications reveals a strong trajectory toward decolonial computing and environmental justice, with increasing emphasis on Indigenous-led information initiatives and the inclusion of 'other-than-human' participants in design processes. Her scholarly output spans high-impact journals including Journal of Documentation and First Monday, alongside influential books like Digital Technology and Sustainability: Engaging the Paradox. Outstanding Information Science Teacher Award (2017) Honorable Mention Paper Award at ACM CSCW (2016) Leadership in ACM SIGCHI Sustainability initiatives British Columbia Library Association Climate Action Committee Nathan actively supervises doctoral research through UBC's Indigenous Information Studies pathway, currently mentoring Rodrigo dos Santos while having guided recent graduates including Shaffer, Shankar, and Kaczmarek to completion. Her service includes chairing the First Nations Curriculum Concentration (2010-2018) and developing innovative courses like LIBR 564: Information Practice and Protocol in Support of Indigenous Initiatives. As Director of the Centre for Climate Justice research cluster, she fosters interdisciplinary collaborations addressing information policy's role in environmental crises.

Michalis VazirgiannisView profile

Professor

• Machine Learning
• Deep Learning
• Graph Analysis
• +11 more

Michalis Vazirgiannis is a Professor at LIX, École Polytechnique in France, where he leads the Data Science and Mining group (DaSciM). He holds a degree in Physics and a PhD in Informatics from Athens University (Greece), and a Master's degree in AI from Heriot Watt University, Edinburgh (UK). His academic career spans multiple prestigious institutions including Fraunhofer and Max Planck MPI in Germany, INRIA/FUTURS in Paris, AUEB in Greece, Telecom-Paristech, ENS in France, Tsinghua and Jiaotong Shanghai in China, and Deusto University in Spain. Professor Vazirgiannis's research focuses on machine and deep learning methods for graph analysis, including community detection, graph clustering, node embeddings, and influence maximization. His work in text mining encompasses Graph of Words, word embeddings with applications to web advertising and marketing, event detection, and summarization. He has active collaborations with industrial partners in analytics and machine learning for large-scale data repositories across various application domains such as recommendations, meeting summarization, influence metrics for scientific and social networks, and predictive maintenance. His recent publications demonstrate a strong emphasis on Graph Neural Networks, multilingual NLP (particularly for French and Arabic), and applications of deep learning to diverse domains including social networks, legal text, and biomedical data. There's a clear trajectory toward developing more efficient, explainable, and specialized models that address real-world challenges in data analysis. ERCIM fellowship Marie Curie EU fellowship Tencent "Rhino-Bird International Academic Expert Award" (2017) Best Paper Award at IJCAI 2018 Best Paper Award at CIKM 2013 Professor Vazirgiannis has supervised 29 completed PhD theses and has attracted significant R&D funding from national and international sources, including research agencies and industrial partners such as Google, Airbus, Huawei, Deezer, BNP, and LVMH. He leads or has led several academic research chairs including DIGITEO (2013-15), ANR/HELAS (2020-25), and AXA (2015-2018). The DaSciM research group, which he leads at École Polytechnique, has extensive experience in real-world R&D projects involving large-scale data mining. The team maintains active collaborations with major industrial partners including AIRBUS, Google, BNP, Tencent, and Tradelab, working on cutting-edge machine learning projects. The group has co-organized major conferences such as ECML PKDD 2011 and ECML/PKDD 2017 and participates in the senior organization of AI and data mining events like AAAI and IJCAI.

• Digital Poverty
• Digital Inequalities
• Emerging Technologies
• +3 more

Professor Efpraxia D. Zamani is a Full Professor of Information Systems at Durham University Business School, previously serving as Senior Lecturer at the University of Sheffield's Information School. Her research examines the organizational and social dimensions of Information Systems, with particular emphasis on digital poverty, emerging technologies, and workplace implications. Her research focuses on three interconnected domains: Digital poverty and inequalities (examining access disparities and policy impacts), Making sense of emerging technologies (analyzing adoption and resistance patterns), and Information Systems in the workplace (investigating hybrid work dynamics and gendered experiences). Zamani employs critical and qualitative methodologies to uncover how technological transformations affect marginalized groups and organizational practices. Analysis of her 15 most recent publications (2023-2025) reveals consistent engagement with societal challenges through an Information Systems lens. Her work spans digital governance, healthcare technology, crowdwork platforms, and AI ethics, predominantly published in top-tier journals like Information Systems Journal and Journal of Information Technology . A distinctive pattern is her focus on vulnerable populations—including informal caregivers, women in developing economies, and older adults—within technology adoption contexts. Key recognitions include: AIS Sandra Slaughter Service Award (2024) AIS Distinguished Member - Cum Laude (2025) Best Paper Award at ICIS 2013 Runner Up for SIG GTM Best Paper Award (2021) She supervises PhD candidates including Myrto Dimitriou and Sohee Kim while leading significant research initiatives. Current projects feature the Marie Skłodowska-Curie Actions Doctoral Network AGORA (funded by UKRI EPSRC) for Metaverse research training. Completed work includes British Academy-funded studies on digital inclusion in Derbyshire and Research England projects addressing digital poverty in South Yorkshire. Her grant portfolio demonstrates strong alignment with societal impact through technology. Zamani actively contributes to academic communities as co-chair of the AIS Women's Network College and Vice President of the UK Academy for Information Systems, while maintaining editorial roles at Information Systems Journal and Information Technology & People .

Steven K. RothschildView profile

Professor

• Family Medicine
• Preventive Medicine
• Geriatrics
• +6 more

Dr. Steven K. Rothschild is Professor and Chair of the Department of Family & Preventive Medicine at Rush Medical College, Rush University, where he also holds the distinguished title of The Roger C. Bone, MD, Presidential Professor. As a practicing family physician at Rush Family Physicians in Chicago (1700 W Van Buren St, Suite 470), he provides comprehensive primary care with particular expertise in managing patients with multiple chronic conditions, especially older adults. His educational background includes: Medical Degree from University of Michigan Medical School Residency in Family Medicine at Cleveland Metropolitan General Hospital Dr. Rothschild describes his clinical approach as being 'the conductor of the orchestra' for complex patients, ensuring medication regimens don't conflict and diagnostic testing is coordinated efficiently. With patients he's seen for 20-25 years, he emphasizes the importance of long-term patient-physician relationships and continuity of care. His patient satisfaction ratings consistently average 4.9/5.0 across multiple dimensions including communication, empathy, and shared decision-making. Analysis of his 22 publications from 2003-2024 reveals three dominant research themes: community health worker interventions (particularly for diabetes management in Hispanic populations), integrated care models addressing both medical and social determinants of health, and mental health interventions within primary care settings. His recent work increasingly incorporates digital health technologies for depression, anxiety, and sleep interventions. As Department Chair, Dr. Rothschild oversees academic programs, faculty development, and research initiatives within Family & Preventive Medicine. His leadership focuses on training the next generation of family physicians while advancing innovative approaches to primary care delivery for complex patient populations.

• Implementation Science
• Health Psychology
• Behavioral Medicine
• +7 more

Allison J Carroll, PhD is an Assistant Professor at Northwestern University Feinberg School of Medicine with primary appointment in Psychiatry and Behavioral Sciences, and secondary appointments in Medical Social Sciences and Preventive Medicine (Behavioral Medicine). She serves as a core faculty member in the Center for Dissemination and Implementation Science (CDIS) and is affiliated with the Institute for Public Health and Medicine (IPHAM) and the Northwestern University Clinical and Translational Sciences Institute (NUCATS). Dr. Carroll is a clinical health psychologist and implementation scientist whose research focuses on psychological (e.g., depression) and behavioral (e.g., cigarette smoking) contributors to chronic disease (e.g., cardiovascular disease), particularly for disadvantaged and historically underresearched populations. Her current research includes a K23 career development award to inform and pilot test the implementation of a culturally adapted depression intervention for Black adults with hypertension, with training aims in implementation science, community engaged research, and health informatics. Dr. Carroll also serves as an implementation science co-investigator/consultant on externally funded research projects and clinical initiatives in healthcare settings. Her publication record shows a clear focus on implementation science methods applied to cardiovascular disease prevention, depression treatment, and health disparities reduction, with numerous recent publications (2024-2025) in high-impact journals spanning implementation frameworks, community-based interventions, and integrated care models. Scientific Awards: Citation Abstract Award, Society of Behavioral Medicine (2025) Teacher of the Year, Clinical Psychology MA & PhD Programs, Northwestern University Feinberg School of Medicine (2024) Outstanding Abstract Award, Multimorbidities and Multiple Health Behavior Change Special Interest Group, Society of Behavioral Medicine (2022) Early Career Boot Camp, Association of Psychologists in Academic Health Centers 10th National Conference (2021) Fellow, Ten-Day Seminar on the Epidemiology and Prevention of Cardiovascular Disease and Stroke (2019) Dr. Carroll maintains active professional service as Secretary of the Health Research Council for the Society for Health Psychology (2023-present), Research Communication Liaison for the same council (2017-present), and previously served as Membership Coordinator for the Cardiovascular Disease Special Interest Group of the Society of Behavioral Medicine (2022-2024). She is an active member of multiple professional societies including the Association of Psychologists in Academic Health Centers, Society of Behavioral Medicine, American Heart Association, and Society for Health Psychology. Her educational background includes a BA from Monmouth College (2009), MS (2014) and PhD (2018) from Northwestern University, followed by an internship at Medical University of South Carolina in Clinical Psychology/Behavioral Medicine (2018) and a fellowship at Northwestern Medicine in Cardiac Behavioral Medicine (2020).

Lee FergusonView profile

Professor

• Environmental Analytical Chemistry
• High-Resolution Mass Spectrometry
• Per- and Polyfluoroalkyl Substances (PFAS)
• +3 more

Lee Ferguson is a Professor of Civil and Environmental Engineering at Duke University, with additional appointments as Associate Professor in the Division of Marine Science and Policy. His research focuses on environmental analytical chemistry, particularly using high-resolution mass spectrometry to study per- and polyfluoroalkyl substances (PFAS) , microplastics , and endocrine disruptors . Ferguson Lab develops methods for contaminant detection in water systems and investigates chemical leaching from polymers. Ph.D. in Chemistry from Stony Brook University (2002) Former Assistant Professor at University of South Carolina (2003-2009) Recent work includes PFAS analysis in lithium-ion batteries, glyphosate detection in hard waters, and microplastic dye toxicity studies. Key publications explore urban watershed contamination, Sri Lankan drinking water CKDu links, and novel analytical methods for environmental pollutants. Applied Research Fellowship (2022), Kavli Frontiers of Science Fellow (2011) Testified before U.S. Senate on nanotechnology risks Co-founder of NC PFAS Testing Network As an advisor, he mentors Doctoral Candidates Patrick Faught and Anna Lewis , who investigate microplastic dyes and polymer additives. Lab research spans environmental fate of nanomaterials, contaminant bioavailability, and exposomics for health outcomes.

Rob GleasureView profile

Professor

• Information Systems
• Digitalization
• Blockchain Technology
• +7 more

Rob Gleasure is a Professor in the Department of Digitalization at Copenhagen Business School (CBS), Denmark. His research focuses on the intersection of information systems, digital technologies, and human behavior, with particular expertise in blockchain technology, crowdfunding, AI applications, and technology adaptation. Based at Solbjerg Square 3 in Frederiksberg, he contributes to CBS's mission of advancing knowledge in business and society through digital transformation. Professor Gleasure's research spans several key areas within information systems and digital innovation: Digital finance and blockchain technologies, including cryptocurrency and financial applications Crowdfunding platforms and digital fundraising mechanisms Artificial intelligence applications in various domains including healthcare and banking Human-computer interaction and the psychological aspects of technology adoption Digital collaboration and the affective dimensions of online work Quantum computing infrastructure and emerging technologies His recent publications reveal an evolving research trajectory that increasingly addresses the societal implications of digital technologies. Gleasure has moved from foundational work on crowdfunding and blockchain to more complex examinations of AI ethics, gender bias in technological systems, and the psychological impacts of digital media. His research demonstrates growing attention to sustainable development goals, particularly those related to responsible consumption and production, reduced inequalities, and climate action. The interdisciplinary nature of his work bridges business, technology, and social sciences, often employing both qualitative and experimental methodologies. Professor Gleasure has served as a supervisor for numerous students (21 supervisor tasks mentioned) and has been active in academic service including co-chairing the ACM Collective Intelligence Conference in 2021. His research has attracted media attention, with contributions to discussions on cryptocurrency, carbon offsetting in aviation, and AI applications.

Jingrui HeView profile

Professor

• heterogeneous machine learning
• active learning
• neural bandits
• +9 more

Jingrui He is a Professor and MSIM Program Director at the School of Information Sciences, University of Illinois Urbana-Champaign. She holds multiple faculty affiliate positions including with the Department of Computer Science, National Center for Supercomputing Applications (NCSA), Illinois Informatics, Center for Digital Agriculture (CDA), and Mayo Clinic Arizona. Her research spans machine learning with applications in diverse domains including healthcare, agriculture, security, and finance. Dr. He received her PhD in Machine Learning from Carnegie Mellon University in 2010. Her research focuses on heterogeneous machine learning, active learning, neural bandits, and self-supervised learning. She addresses complex data challenges where multiple types of heterogeneity coexist, developing methods for exploring, understanding, characterizing, and predicting real-world data through statistical machine learning techniques. Her recent publications demonstrate a strong focus on graph learning, federated learning, fairness in AI, and neural bandit algorithms. She has developed innovative approaches for class-imbalanced graph learning, Byzantine-robust federated learning, and privacy-preserving graph machine learning. Her work bridges theoretical foundations with practical applications across multiple domains. Her scientific awards include the Amazon Research Award (2025), ACM Distinguished Member (2023), AAAI Senior Member (2023), FAccT Distinguished Paper Award (2022), NSF CAREER award (2016), and multiple IBM Faculty Awards. She has been recognized as an excellent teacher and received Best Paper awards at major conferences including ICDM and SDM. Dr. He directs the iSAIL Lab and leads several major research projects including the AI Institute for Future Agricultural Resilience Management and Sustainability (AIFARMS). She has successfully mentored numerous doctoral students who have become co-authors on her publications. Her research has been funded through prestigious grants including the NSF CAREER award and IBM Faculty Awards.

Miriam TedeschiView profile

Researcher

• Spatial Justice
• Data Justice
• Urban Geography
• +3 more

Miriam Tedeschi serves as a Senior Researcher at the Faculty of Law, University of Turku, and holds a docentship in Human Geography at the Department of Geography and Geology. She leads the Research Council of Finland-funded project 'Justice in Digital Spaces' (JuDiCe, 2022-2025) and maintains a fellowship at the Westminster Law & Theory Lab, London. Her academic foundation includes a PhD in Regional Planning and Public Policies (University Institute of Architecture, Venice, 2017), an MA in Philosophy, and a BSc in Digital Communication. Prior to doctoral studies, she accumulated 15 years of professional experience as an ICT research consultant. Tedeschi's scholarship merges non-representational theories and new materialism to interrogate spatio-legal dynamics across segregated spaces, migratory contexts, natural environments, and digital-physical hybrids. Her work pioneers digital spatial justice frameworks, critically examining how datafication reshapes urban equity through empirical ethnography and theoretical innovation. Analysis of her 2023-2025 publications reveals a decisive pivot toward computational justice, where legal geography intersects with AI ethics, urban informatics, and posthuman jurisprudence. These works collectively forge transdisciplinary pathways for reimagining justice in algorithmically mediated spaces. Her scientific recognition includes: Westminster Law & Theory Lab Fellowship As an educator, Tedeschi directs 'Law and the Urban' (2022-present) and co-teaches 'Systemschange.now' (2020-2024). Her JuDiCe project exemplifies major grant leadership, integrating spatial theory with digital rights advocacy through Finland's premier research funding mechanism. She co-founded the 'Law, Space and Justice' research environment at Turku's Faculty of Law, catalyzing cross-institutional collaboration on justice-oriented spatial interventions.

• Natural Language Processing
• Large Language Models
• Social Media Analysis
• +7 more

Stuart E. Middleton is a Professor in the Electronics and Computer Science (ECS) department at the University of Southampton, where he has been employed since 2003. His research bridges artificial intelligence with practical applications in social science, mental health, and security domains. He leads multiple research projects funded by DTP and CISDnS CDT, focusing on multimodal natural language processing and large language models for social good applications. Professor Middleton's research interests center on Natural Language Processing, Large Language Models, and Human-in-the-loop AI systems. His work spans mental health applications (particularly suicide risk detection and mood change analysis), social media analysis for crisis mapping, geoparsing for location extraction, and argument mining in political discourse. He has developed numerous open-source NLP projects and datasets including CPIQA for climate science, ConversationMoC for mental health monitoring, and M-Arg for multimodal argument mining. His research demonstrates how AI can effectively support human decision-making in critical domains like mental healthcare, defense applications, and crisis management. His recent publications reveal a strong trend toward applying LLMs to high-impact societal challenges, particularly in mental health monitoring and climate science verification. He has pioneered methods for detecting suicidal ideation in social media, identifying moments of mood change, and developing context-aware question answering for climate papers. His work consistently emphasizes the importance of human oversight in AI systems, with numerous publications on responsible AI, regulation, and human-in-the-loop approaches. Ranked 1st in ECAL-2024 shared task on suicidal ideation detection Ranked 1st in NAACL-2022 shared task on suicide risk and mood change classification Winner of 'best paper' award at WWW2002 Semantic Web Workshop Professor Middleton actively supervises PhD students through multiple funded projects including 'Multimodal Natural Language Processing for Computational Social Science', 'Large Language Models for Military Veteran Mental Health', and 'Large Language Models for Human/AI Information Foraging to Combat Digital Human Trafficking into Terrorism'. He has secured significant funding from UKRI, DSTL, and other sources to support his research in responsible AI applications. He organizes major workshops including the RAI UK Workshops on Responsible AI for Mental Health and AIUK workshops on AI for Data Rescue and Defense applications. His research group maintains numerous GitHub repositories with open-source NLP tools and datasets that have been widely adopted by the research community.

Ridha KhedriView profile

Professor

• Cybersecurity
• Formal Methods in Software Engineering
• Information Security Ontology
• +6 more

Ridha Khedri is a Professor in the Department of Computing and Software at McMaster University . His research spans formal methods in software engineering, cybersecurity, information security ontology, network segmentation, and covert channels analysis. Full Professor since 2000 Contact: khedri@mcmaster.ca Research Interests : Prof. Khedri develops algebraic frameworks for software security, with recent work on network segmentation , ontology engineering , and covert channel detection . His interdisciplinary efforts include hybrid machine learning-ontology models for environmental predictions (e.g., river ice breakup) and digital twin healthcare systems . Article Trends : His 15 most recent works (2016-2025) focus on network security , knowledge representation , and formal verification . Notable trends include automated security testing , ontology modularization , and multi-context reasoning systems . Teaching : He has taught courses like Software Design (CAS 703), Discrete Mathematics (SFWRENG 2DM3), and Algebraic Methods in Software Engineering (CAS 738) since 2017.

• Epidemiology
• Genetic Epidemiology
• Public Health
• +9 more

Neil Martin Davies is a Researcher at the Department of Public Health and Nursing , Norwegian University of Science and Technology (NTNU) . His work bridges epidemiology, genetics, and public health, with a focus on causal inference, Mendelian randomization, and socioeconomic health disparities. His research explores the intersection of genetic epidemiology , developmental psychology , and clinical outcomes . Key themes include the impacts of antiseizure medications in pregnancy , cardiometabolic risks in psychiatric populations , and health policy implications of Mendelian randomization . Recent publications highlight methodological advancements in directed acyclic graphs (DAGs) , instrumental variable analysis , and family-based sampling . His work frequently addresses parental education effects , sleep patterns , and genetic correlations in large cohorts like UK Biobank. Neil Martin Davies contributes to scientific reporting standards , co-authoring the STROBE-MR guidelines for Mendelian randomization studies. His collaborations span neurology , mental health , and health economics , emphasizing causal relationships over correlational findings.

Jochen MengesView profile

Professor

• Leadership
• Future of Work
• Emotional Intelligence
• +2 more

Prof. Dr. Jochen Menges is a Professor at the University of Zurich , holding the Chair of Human Resource Management and Leadership within the Department of Business Administration under the Faculty of Business, Economics and Informatics . He serves as Director of the Center for Leadership in the Future of Work and contributes to the DSI Community Work. Research Interests: His work bridges leadership studies , emotional intelligence , mindfulness practices , and digital transformation in work environments. Key areas include charismatic leadership attribution , AI-human collaboration , emotion regulation , and future of work dynamics . Recent Publications: Menges explores how anthropomorphic AI affects workplace emotions, develops VR-based organizational simulations , and investigates the role of awe in leadership perception . His 2024 guest editorial on human-centered future of work emphasizes balancing technological and human needs. Emerging Insights: Studies on emotional responses to AI , mindfulness interventions , and gender dynamics in emotional intelligence demonstrate his focus on emotional and psychological dimensions of modern work. His populist support research connects negative affect with global political trends.

Victoria ReayView profile

Researcher

• Electronic Patient Records
• Health Informatics
• Medical Work Practices
• +2 more

Dr Victoria Reay is an Honorary Researcher and PBL Tutor at Lancaster Medical School, Lancaster University. Qualified as a doctor in 2004, she previously held NIHR academic foundation and clinical fellow posts at Guy's and St Thomas' Hospital in London. After a hiatus from research, she returned to academia to investigate how electronic patient records reshape medical work practices in hospital settings. Her educational background includes: MBChB (medical degree) MRCP (Membership of the Royal College of Physicians) PGDip in Palliative Medicine PhD from Lancaster University (2023) titled 'Materialising the electronic patient record: Reshaping medical practices on NHS wards' Dr Reay's research spans two distinct domains. Her current work focuses on health informatics, examining how electronic patient records transform clinical workflows, documentation practices, and professional roles within NHS hospitals. Previously, she conducted significant research in respiratory immunology, particularly investigating molecular mechanisms in aspirin-sensitive asthma including prostaglandin receptor expression and IL-25 mediated angiogenesis. This interdisciplinary approach bridges clinical medicine, health services research, and sociotechnical studies of healthcare systems. Her publication record reveals a clear evolution from clinical immunology (2009-2012) to health informatics (2023). Early work centered on asthma pathophysiology, vocal cord dysfunction diagnostics, and fungal exposure assessment, while her doctoral thesis marks a decisive shift toward analyzing digital healthcare transformation. This transition reflects her firsthand experience with electronic record implementation and its profound impact on medical practice. As a PBL Tutor, Dr Reay contributes to medical education through problem-based learning. Her NIHR academic foundation and clinical fellow posts indicate prior research support, though specific current grants aren't detailed. She participates in an interdisciplinary network focused on culture, health, ethics, and society, facilitating collaborative research across these domains.

• Ecology
• Environmental Science
• Geographic Information Systems
• +7 more

Veronica Frans is a Stanford Science Fellow at Stanford University and a sixth-year PhD Candidate in Fisheries & Wildlife and Ecology, Evolutionary Biology & Behavior at Michigan State University (MSU). She is affiliated with MSU’s Center for Systems Integration and Sustainability (CSIS), the Klausmeier-Litchman lab at Kellogg Biological Station, and holds certifications in Community Engaged Scholarship and Spatial Ecology. Her research focuses on human influence on species distributions, integrating ecological modeling, GIS, and community outreach. BS/BA in Environmental Sciences and French from Messiah College MSc in International Nature Conservation from Goettingen University Her research spans ecology, conservation biology, and sustainability, emphasizing human-nature interactions through metacoupling, telecoupling, and stakeholder collaboration. She has conducted fieldwork in Alaska, Hong Kong, and the Falkland Islands, leveraging local knowledge to address global conservation challenges. Recent publications highlight her expertise in species distribution modeling, sustainability tool development (e.g., seesus, SDGdetector), and conservation policy analysis. Articles frequently explore metacoupling, anthropogenic impacts, and marine ecosystem dynamics, with applications in deforestation, biodiversity, and SDG implementation. NSF GRFP Fellow University Enrichment Fellow Outstanding Paper in Landscape Ecology Award Veronica collaborates with the Klausmeier-Litchman lab at MSU’s Kellogg Biological Station and works under Dr. Jianguo (Jack) Liu at CSIS. Her work bridges marine environments, stakeholder engagement, and global sustainability through interdisciplinary research and community-based conservation.