Olga Russakovsky is an Associate Professor in the Computer Science Department at Princeton University, with additional affiliations at the Center for Statistics and Machine Learning and the Center for Information Technology Policy. She serves as Associate Director of the Princeton AI Lab and chairs the Board of Directors for AI4ALL, the nonprofit she co-founded in 2017. Her research integrates computer vision with machine learning, human-computer interaction, and fairness/transparency in AI systems. She leads the Visual AI Lab, focusing on developing intelligent systems that understand the visual world while addressing societal impacts of technology. Dr. Russakovsky is a prominent advocate for diversity in AI. She co-founded multiple educational initiatives including: Stanford AI4ALL (originally SAILORS, 2015) for high school girls Princeton AI4ALL (2018) for underrepresented racial/ethnic groups AI4ALL nonprofit (2017) to cultivate diverse AI leadership AI4ALL Open Learning (free K-12 AI curriculum) College Pathways program for undergraduate inclusion She has influenced policy through congressional engagement and media outreach, with featured coverage in MIT Technology Review, TheAtlantic, Wired, and EdWeek addressing AI's diversity crisis.
Sheila Jasanoff is the Pforzheimer Professor of Science and Technology Studies at the Harvard Kennedy School of Government, where she founded and directs the STS Program. Previously, she was the founding chair of the STS Department at Cornell University. She holds AB, JD, and PhD degrees from Harvard University, along with honorary doctorates from the Universities of Twente and Liège. Current Position: Pforzheimer Professor of Science and Technology Studies (2002-present) Previous Position: Professor of Science Policy and Law at Cornell University (1991-1998) Education: AB (Mathematics) from Radcliffe College, PhD (Linguistics) and JD from Harvard University Professor Jasanoff's research explores the role of science and technology in the law, politics, and policy of modern democracies, with particular attention to environmental and biotechnology regulation in Europe and the U.S. She is a pioneer in the field of Science and Technology Studies (STS), having authored over 130 articles and chapters and written or edited more than 15 books, including The Fifth Branch , Science at the Bar , Designs on Nature , The Ethics of Invention , and Can Science Make Sense of Life? Her recent scholarly work focuses on climate communication, genome editing ethics, and the integration of STS perspectives into engineering and public policy. Jasanoff's publications demonstrate a consistent engagement with how different societies conceptualize scientific knowledge and incorporate it into governance structures, with particular attention to sociotechnical imaginaries and civic epistemologies. Holberg Prize (2022), often dubbed the 'Nobel Prize for social science and humanities' SSRC's Hirschman Prize Humboldt Foundation's Reimar-Lüst Award Guggenheim Fellowship Ehrenkreuz from the Government of Austria Foreign memberships in the British Academy and the Royal Danish Academy Jasanoff has served on the AAAS Board of Directors and as President of the Society for Social Studies of Science. She is a member of the Council on Foreign Relations. Her sponsored projects include the Global Observatory on Genome Editing funded by the John Templeton Foundation and Belmont Forum Collaborative Research on Governance of Sociotechnical Transformations funded by the National Science Foundation. She has held distinguished visiting appointments at leading universities worldwide and serves on numerous scientific advisory boards including at the Holberg Foundation, National Academy of Sciences, and University of Cambridge.
Marcus Smith is an Associate Professor in Law at the Charles Sturt University , where he teaches LAW222 Technology Law and directs the Bachelor of Laws program. He holds advanced degrees from the Australian National University (PhD, LLM) and the University of Cambridge (MPhil). His research spans technology law and regulation , focusing on genomic data governance biometric identification AI ethics blockchain policy cybersecurity surveillance law He leads the Contemporary Threats to Australian Security research group and serves as Chief Investigator on an NHMRC-funded project (MRF2015531) addressing genomic dataset governance. His recent work analyzes algorithmic bias in facial recognition AI in healthcare blockchain's regulatory challenges post-pandemic cybercrime surveillance ethics data security frameworks He actively supervises PhD and honours students in technology law and contributes to law reform through submissions to international bodies like the UN Human Rights Council .
John Evans is an Associate Professor and Jack Rominger Faculty Fellow in the Department of Aerospace Engineering Sciences at the University of Colorado Boulder, affiliated with the Applied Mathematics program. He serves as Associate Chair for Undergraduate Curriculum and is part of the Aerospace Mechanics Research Center (AMREC). His research focuses on computational mechanics, particularly fluid dynamics, fluid-structure interaction, and turbulence modeling using high-order and structure-preserving methods. Evans holds a PhD (2011) and MS (2008) in Computational and Applied Mathematics from the University of Texas at Austin, and dual BS/MS degrees in Mathematics and Applied Mathematics from Rensselaer Polytechnic Institute (2006). Before joining CU Boulder, he was a postdoctoral fellow at the Institute for Computational Engineering and Sciences (ICES). His research interests include isogeometric analysis, immersed methods, and data-driven turbulence modeling. Notable contributions include development of divergence-conforming discretizations for incompressible flows, stabilized collocation methods, and invariant subgrid stress models. He leads the AMREC lab and collaborates on plasma-fueled propulsion systems and geometrically sensitive simulations. Key Awards: 2021: Rocky Mountain AIAA Educator of the Year 2021: Gallagher Young Investigator Medal 2019-2021: Clarivate Highly Cited Researcher Professional Activities: Editor of Engineering Computations, Senior AIAA Member, Simons Visiting Professor (2019) Evans' work bridges advanced numerical methods with real-world engineering challenges. His lab develops open-source tools like XIGA for multi-material problems and focuses on immersive simulation environments. Current projects explore turbulence closure models, plasma propulsion, and topology optimization with B-spline-based approaches.
Marcela Echeverri Muñoz is an Associate Professor in the Department of History at Yale University, affiliated with the Faculty of Arts and Sciences. Her scholarship bridges history, anthropology, and political theory, with a focus on Latin America, the Atlantic World, and the Spanish Empire. She is recognized for her interdisciplinary approach to understanding political subjectivities, state formation, and social transformation during the Age of Revolutions. PhD in Latin American and Caribbean History, New York University, 2008 MA in History of the Hispanic World, Fundación MAPFRE-Tavera and CSIC, Madrid, 2006 MA in Social and Political Theory, The New School for Social Research, 2001 BA in Anthropology, Universidad de los Andes, Bogotá, 1997 Her research centers on the interplay of race, gender, law, and political theory in colonial and 19th-century Latin America. She investigates how enslaved and Indigenous peoples navigated imperial and republican transitions, particularly through royalist affiliations. Her work challenges peripheral narratives of Spanish America in Atlantic slavery studies, positioning the region as a central site of abolitionist and constitutional experimentation. The trends in her recent publications reveal a sustained focus on slavery, abolition, and political transformation in the Spanish American mainland. She analyzes how anti-slavery movements were intertwined with republicanism, citizenship, and state formation, especially in Gran Colombia. Her scholarship spans legal history, Atlantic processes, and transimperial dynamics, often highlighting marginalized voices in revolutionary contexts. She frequently contributes to major reference works and edited volumes on Atlantic revolutions and Latin American independence. Her scientific awards and fellowships reflect her standing in the field: James Alexander Robertson Prize Michael Jiménez Prize Bolton-Johnson Prize Honorable Mention Yale Heyman Prize for Outstanding Scholarly Publication Alexander von Humboldt Research Fellowship MacMillan Research Fellow, Yale Mellon Residential Fellow, CUNY NEH Summer Institute Participant, Johns Hopkins Fellowships from John Carter Brown Library, CSIC, Fundación Mapfre, and Instituto Colombiano de Antropología e Historia Echeverri has secured significant research grants from Harvard’s Atlantic History Seminar, CUNY Research Foundation, and Yale. She has co-edited special issues on Gran Colombian history and Spanish American abolition, and led key academic initiatives including the Race and Slavery in the Atlantic World Working Group and the Early Modern Empires Workshop at Yale. Though student advising is not explicitly detailed, her role as a senior scholar implies mentorship of graduate students. She is affiliated with several research networks and has been a visiting scholar at institutions such as Freie Universität Berlin. Her ongoing book project on Gran Colombian slavery underscores her commitment to redefining the hemispheric significance of Latin American abolition. She remains an active contributor to both scholarly and pedagogical conversations in Atlantic and Latin American history.
Professor Marina Jirotka is a leading academic in Human-Centred Computing at the Department of Computer Science, University of Oxford, and a Governing Body Fellow at St Cross College. She directs the Responsible Technology Institute and leads interdisciplinary research on responsible innovation in AI, robotics, and digital systems. University: University of Oxford School: Department of Computer Science Position: Professor of Human-Centred Computing Leadership: Director, Responsible Technology Institute Fellowships: EPSRC Established Career Fellowship (RoboTIPS) Her research focuses on integrating ethical, societal, and human values into technology design. Key areas include responsible innovation, human-computer interaction, algorithmic accountability, and socio-technical systems. She explores trust, transparency, and governance in autonomous systems, digital mental health, and quantum computing ethics. Her recent publications reflect a strong trend in responsible robotics, explainable AI, digital wellbeing, and ethical governance. Articles emphasize interdisciplinary methods, stakeholder engagement, and practical tool development such as the Ethical Black Box and TrustScapes. Themes span autonomous vehicles, social robots, algorithmic bias, and sustainability in digital innovation. Excellence in Teaching Award, University of Oxford (2006) ESRC/SSRC Fellowship (2007) UCLA Scholar Award (2011) EPSRC Established Career Fellowship (2018, 2019) Vice Chancellor’s Innovation Award Highly Commended (2020) She supervises numerous PhD and Master’s students and leads major grants including RoboTIPS, RAILS, PARIS-DE, and Adolescent Mental Health in the Digital World. She co-directs ORBIT, a leading RRI training provider, and contributes to policy through advisory roles with the House of Lords, All-Party Parliamentary Groups, and industry consortia. She is a member of the IEEE P7000 working group and the UK Committee for IIASA. Her lab work involves interdisciplinary teams focused on responsible technology design, public engagement, and ethical tool development.
Pawan Adhikari is a Professor of Accounting at Essex Business School, University of Essex , where he serves as Director of Impact and Enterprise and Director of Essex Accounting Centre . He is an Associate Editor of the Journal of Public Budgeting, Accounting and Financial Management and a Executive Board Member of the Comparative International Governmental Accounting Research Network (CIGAR) . Previously, he led accounting reforms at Nepal’s Accounting and Auditing Standards Board and lectured at Nord University, Norway. PhD, Nord University Business School Fellow of the Higher Education Academy His research focuses on public sector accounting in developing countries, particularly accounting reforms , public value creation , and climate accountability . He explores how accrual accounting and participatory budgeting can enhance transparency in South Asian and African contexts. His work has influenced policy-making in Nepal and is recognized with the 2023 Best International Research Impact award by the University of Essex. Recent publications analyze wellbeing economies (2025), NGO accountability in disasters (2024), and climate budgeting (2023). He collaborates with institutions like the World Bank , European Commission , and British Academy , focusing on projects related to financial resilience , circular economy , and health sector accountability . Supervising 8 current PhD students, his advisees have produced work on topics like accrual accounting in Bangladesh and NGO accountability in Palestine . World Bank/PEFA Research Award African Accounting and Financial Association (AAFA) Award ESRC IIA Impact Fund GCRF and SeNSS Grants 2019 Best Postgraduate Supervisor (Essex)
Carol Smith is an Associate Professor in the Department of Soil & Physical Sciences at Lincoln University, New Zealand, where she serves as Head of Department since 2017. She has been an elected academic staff member of the Lincoln University Council from 2018-2022. Dr. Smith holds a PhD from the University of Aberdeen, an MSc from the University of Reading, and a BSc(Hons) from the University of Portsmouth, forming the foundation of her expertise in soil science and physical geography. Her research spans both fundamental and applied aspects of pedology. On the fundamental side, she investigates Quaternary pedology and paleoenvironmental reconstruction using loess stratigraphy, geomorphology, and micromorphology, which provides critical data for verifying future climate change predictive models. Applied research focuses on sustainable use of recycled organic matter and rehabilitation of degraded soils. She collaborates internationally on multidisciplinary projects involving paleoclimate reconstruction, paleoliquefaction, Antarctic soils, and viticulture. Dr. Smith is passionate about teaching and science communication, employing experiential learning methods to develop practical field skills in soil science through 'soil judging competitions' in New Zealand and Australia. Her research addresses UN Sustainable Development Goals including Life on Land (15), Climate Action (13), and Quality Education (4). Among her notable recognitions are the Norman H Taylor Memorial award 2020 from the New Zealand Society of Soil Science for outstanding contributions to soil science in New Zealand and Fellowship in the Royal Geographical Society, London. She serves as Associate Editor of Natural Sciences Education and was previously editor of Quaternary Australasia. Dr. Smith has supervised numerous graduate students through research-based supervision, with completed projects covering diverse topics from soil patterns in Southland to Antarctic soil ecology. She teaches advanced courses in field research, soil science, and physical landscapes, and has developed innovative approaches to teaching during the pandemic, including virtual field trips.
Joydeep Biswas is an Associate Professor in the Computer Science Department at the University of Texas at Austin, where he serves as the Director of the Autonomous Mobile Robotics Laboratory (AMRL). He is also affiliated with Texas Robotics, the UT Machine Learning Laboratory, and UT Good Systems. Previously, he was an Assistant Professor in the College of Information and Computer Sciences at the University of Massachusetts Amherst. Dr. Biswas earned his PhD in Robotics from Carnegie Mellon University in 2014 and his B.Tech in Engineering Physics from the Indian Institute of Technology Bombay in 2008. His educational background has provided him with a strong foundation in both theoretical and applied aspects of robotics and artificial intelligence. Dr. Biswas's research focuses on enabling long-term autonomy for mobile robots operating in human environments. His work spans robot perception, motion planning, control systems, and AI, with the ultimate goal of creating self-sufficient autonomous mobile robots that can perform tasks accurately and robustly in real-world settings. He is particularly interested in perception, planning, and failure recovery for autonomous mobile robots, which supports his vision of having autonomous service mobile robots deployed at campus-to-city scale, both indoors and outdoors, performing assistive tasks over deployments spanning years. His IJCAI 2019 Early Career Spotlight talk summarizes much of his research to date and ongoing interests. His recent research has shown a strong trend toward social navigation, human-robot interaction, and the application of machine learning techniques to robotics problems. There's a clear progression from fundamental robotics research toward more complex, real-world applications that require robots to understand and navigate human social spaces effectively. His work increasingly integrates large language models and other advanced AI techniques with traditional robotics approaches, as evidenced by his recent publications on topics like preference-conditioned navigation, social navigation benchmarks, and instruction-following navigation systems. Dr. Biswas has received numerous prestigious awards including the NSF CAREER Award (2021), J.P. Morgan Faculty Research Award (2019), Amazon Research Award (2019), and a grant from Northrop Grumman Mission Systems (2018). These awards recognize his innovative contributions to the field of robotics and autonomous systems. As a dedicated educator and mentor, Dr. Biswas actively supervises PhD and master's students, with his PhD student Sadegh Rabiee winning the student poster award at the Northrop Grumman University Symposium 2019. He has secured significant grant funding from the National Science Foundation for projects including 'Introspective Perception and Planning for Long-Term Autonomy' and 'Interactive Synthesis and Repair For Robot Programs,' demonstrating his ability to secure competitive research funding and his commitment to advancing the field. Dr. Biswas leads the Autonomous Mobile Robotics Laboratory (AMRL), which serves as a hub for interdisciplinary research in mobile robotics. The lab has developed notable resources such as the UT Campus Object Dataset (CODA) for 3D perception research and SOCIALGYM, a framework for benchmarking social robot navigation. His team regularly deploys robots on the UT Austin campus and in urban environments to test and refine their approaches in realistic settings, bridging the gap between simulation and real-world application.
John Gallagher is Associate Professor in English and Information Sciences at UIUC. His research examines how writers adapt to participatory audiences in digital environments, including social media interactions and AI writing tools. Using case studies and computational methods, he explores algorithmic audiences, ethical implications of AI, and technical communication in institutional contexts. He teaches courses in professional writing, digital rhetoric, and research methodologies. Recent projects analyze content creators' narratives about platform algorithms, inclusive emoji design, and academic integrity challenges posed by generative AI.
Elizabeth Lambert, Ph.D., is a Senior Lecturer in the Department of Mathematics at the University of Texas at San Antonio (UTSA), within the College of Sciences. She contributes to undergraduate and graduate education with a focus on mathematics instruction and pedagogical development. Education: Ph.D. in Math Education, Texas State University B.A. in Mathematics, Our Lady of the Lake University Her research and professional interests center on mathematics education , student learning processes , and teacher development and professional growth . These areas reflect her commitment to improving instructional practices and educational outcomes in mathematics at the collegiate level. While no publications are listed in the provided text, her work appears to align with trends in educational pedagogy, curriculum design, and faculty development in STEM disciplines. Professional Recognition: No scientific awards or honors are mentioned in the available information. Dr. Lambert advises students and contributes to academic programs in mathematics, though specific advisees or grant activities are not detailed. She plays an active role in shaping teacher preparation and ongoing professional development initiatives within her department. There is no mention of laboratory affiliations, research teams, or collaborative research groups in the provided content.
Aleksander Madsen is a Researcher at the University of Oslo (UiO), affiliated with the Department of Sociology and Human Geography under the Faculty of Social Sciences. His primary research interests include social stratification, immigrant assimilation in labor markets, welfare state policies, and statistical methods. He holds a PhD from Oslo Metropolitan University and an MA from UiO. Education: PhD in Sociology, Centre for the Study of Professions, Oslo Metropolitan University (2014–2018) MA in Sociology, University of Oslo (2013) His research explores labor market integration of immigrants, gender disparities in male-dominated workplaces, and the impact of education-occupation mismatch on health outcomes. He has conducted longitudinal studies on long-term sickness absence and labor market trajectories using sequence analysis. Dr. Madsen has held postdoctoral and research positions at UiO and NIFU, and was a visiting scholar at Stanford University's SCANCOR (2024) funded by the Fulbright Foundation. His work spans interdisciplinary collaborations, including projects on workplace diversity, ethnic stratification, and policy evaluations. Awards: U.S. - Norway Fulbright Foundation Grant (2023–2024) His research group affiliations include the Social Inequalities and Population Dynamics team and the ORGMIGRANT project, investigating work organizations and immigrant assimilation. Recent publications address residential networks among immigrants, workplace ethnic diversity, and women’s attrition from male-dominated sectors.
Albert Lau is an Associate Professor of Civil and Environmental Engineering at the Norwegian University of Science and Technology (NTNU), located in Trondheim, Norway. He specializes in railway engineering, structural dynamics, and transportation systems. Lau holds leadership roles as the Study Program Leader for the MSc in Road, Railway, and Transportation Engineering, overseeing curriculum development and program coordination. His research focuses on railway track design, dynamic modeling of train-track interactions, and infrastructure maintenance, with projects such as the MeTinT initiative (Measurement with Train in Regular Traffic). He has extensive experience supervising master’s and PhD students, and his work emphasizes innovation in rail infrastructure and sustainable transportation solutions. Education and Professional Background: Lau earned his PhD from NTNU in 2018, focusing on numerical simulations of railway turnouts. Prior roles include Postdoc (2018–2020) and Assistant Professor (2017–2018) at NTNU, and teaching at Oslo Metropolitan University (2020). His industry experience includes roles as a Design Engineer (2010–2012) and Project Engineer (2013–2014) in Malaysia, where he managed construction projects and structural design. Research Interests: Lau’s work spans railway track dynamics, infrastructure health monitoring, and machine learning applications in transportation. Key projects include developing digital twins for railway test sites and analyzing ground displacement impacts on track anomalies. His contributions to the Road, Railway and Transport Group at NTNU aim to advance rail safety and efficiency through interdisciplinary approaches. Teaching and Outreach: Lau coordinates courses such as TBA4225 (Railway Engineering) and BA6012 (Fundamental Railway Technology). His outreach includes expert commentary on railway incidents, such as an interview on NRK (2024) discussing potential causes of a train accident. Current initiatives focus on revitalizing regional rail services and optimizing train positioning systems.
Benjamin Arold is a University Assistant Professor at the Faculty of Economics, University of Cambridge. His academic career spans theoretical and applied research in labor economics, education economics, and AI-driven policy analysis. Previously, he held postdoctoral positions at ETH Zurich and visiting roles at Harvard University and Princeton University. Education: Ph.D. in Economics, LMU Munich His research bridges economic theory with empirical applications, focusing on: Long-term impacts of school curricula on student outcomes AI and NLP applications in labor economics Economics of religion and its societal implications Recent Article Trends: His work highlights intersections between education policy and technological innovation, including meta-analyses of private schooling effects, charter school performance evaluations, and computational methods for analyzing educational interventions. Scientific Awards: Prize for Best Dissertation (2021/2022) - German Economic Association Fürther Ludwig Erhard Prize (2023) Teaching: He teaches advanced courses on NLP in economics at Princeton University and Basel University, with a focus on computational methods for non-standard data.
Thomas Hacker is a Professor in the Department of Computer and Information Technology at Purdue Polytechnic Institute, Purdue University. His research focuses on cloud computing, high-performance computing, operating systems, computer networking, and cyber infrastructure . He holds a Ph.D. and M.S. in Computer Science & Engineering from the University of Michigan, along with dual B.S. degrees in Computer Science and Physics from Oakland University. Education: PhD (Computer Science & Engineering), University of Michigan (2004) MS (Computer Science & Engineering), University of Michigan (1993) BS (Computer Science, Mathematics Minor), Oakland University (1989) BS (Physics), Oakland University (1989) Dr. Hacker's research spans cloud and grid computing, operating systems, and distributed systems , with applications in earthquake engineering data systems and AI-driven infrastructure analysis. His recent work explores extended layer 2 networking for bare-metal provisioning ( 2023 IEEE Cloud Summit ) and machine-supported bridge inspection using artificial intelligence ( Transportation Research Record, 2023 ). Notable scientific contributions include 15+ publications on topics like cyberinfrastructure for earthquake engineering, container-based virtualization, and data-intensive systems. His work has been recognized with awards such as the NSF CAREER Award (2010) and multiple Purdue Seed for Success Awards . Key Scientific Awards: NSF CAREER Award (2010) Purdue Seed for Success Awards (2008-2013) ASEE Information Systems Division Best Paper Award (2012) College of Technology Outstanding Faculty in Discovery Award (2010) He has held leadership roles at Purdue, including Department Head (2018-2021) and Interim Department Head (2011-2016) . His career spans academic positions at Indiana University, University of Michigan, and industry roles at Storage Technology Corporation.
