Scholar Spark
Born at Harvard Innovation Lab, Scholar Spark provides talented, highly motivated high school students with premier research programs. Our unique Dual-Track Mentorship—pairing leading academics with industry experts—equips the next generation with the critical thinking and research skills to thrive in an AI-driven future.
Spring / Summer Applications Now Open
Two flagship research programs cultivating future leaders who drive change through rigorous research
Deep dive into cutting-edge research. Research topics focus on cutting-edge questions in the natural sciences, engineering, the social sciences, and the humanities.
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Addressing global challenges. Interdisciplinary research on climate change, social equity and more.
Learn MoreCombines leading academics and industry experts to ensure projects are both academically rigorous and relevant to real-world needs.
Our structured process, enhanced by AI for Science (AI4S), equips students with lifelong, transferable research skills—from topic selection to data analysis.
Projects address foundational scientific frontiers and global challenges (UN SDGs), fostering foresight and social responsibility.
We train students to define problems, integrate knowledge, and communicate complex ideas—transforming them from learners into innovators.
Upon completion, students receive a comprehensive portfolio showcasing their research capabilities
Complete research paper demonstrating theoretical depth and original contribution
Learning log documenting your scholarly thought process and rigorous methodology
Conference-style poster highlighting research question, methods, and key findings
Academic defense demonstrating mastery of your research subject
Detailed assessment of your academic potential and future study pathway
For outstanding students, mentors may provide a formal recommendation letter highlighting their research capabilities
Discover groundbreaking research projects completed by our scholars across diverse fields
This project developed a new algorithm that combines dynamic neighborhood search with simulated annealing. It outperforms traditional methods, speeding up convergence by 40% and reducing path costs by 15.2%.
This study tested various machine learning models to predict Bitcoin's price. It found that simpler models like Random Forest often outperform complex neural networks by better handling diverse market data.
This research identified how a specific inhibitor (TVB-2640) targets a key enzyme in liver cancer cells. The findings support its potential as a new therapy by linking enzyme suppression to halted cancer progression.
Challenging conventional theory, this study found people prefer partners who are kind to them personally, not just generally kind. This suggests our preference for kindness may stem from a desire to be treated well.
Using simulated annealing, this research explored how different cooling methods affect the self-organization of molecular structures. The results provide insights for designing materials at the nanoscale.
This project created a high-precision Python simulation of a lunar probe's journey from Earth to orbit. It successfully replicated the Chang'e 5 mission's trajectory, validating its use for mission planning.
This paper analyzes the long-term ethical implications of friendships between humans and AI. It raises concerns about how such relationships could impact human social dynamics and moral reasoning.
This study examines the complex, multidisciplinary process of China's shift from fossil fuels to renewables. It highlights the need for advanced technology and further research into specific transition pathways.
This paper argues that girls-only competitions are essential for fairness, as open divisions can disadvantage them. It advocates for a dual system offering both separate and integrated competitive choices.
This research explores how Wenzhou's entrepreneurial culture influences its local and diaspora food practices. It shows a balance between preserving traditional methods and adapting to new environments.
Interviews with Beijing students revealed that family structure significantly influences their perceptions of gender roles, underscoring the need for policies that promote equality at home and in society.
A case study in Guizhou Province shows that economic development brings both benefits and negative side effects like pollution and cultural erosion, calling for a balance between growth and sustainability.
This paper summarizes the global burden of lung cancer, its key risk factors, and introduces a novel genetic target (ZNF24) for potential future treatments.
This study analyzes the structure and success of China's live-streaming e-commerce economy, using Douyin as a case study to explain its rapid growth compared to the US market.
A survey comparing Chinese-Korean and Han Chinese individuals revealed the unique challenges faced by Chinese-Koreans in preserving their cultural heritage against pressures to assimilate.
Analysis of EPA data from 1980-2024 shows air pollution generally decreased in five U.S. cities, linking these trends to specific urban planning and industrial policies.
Contrary to classic theory, this multi-country study found that housing prices often increase with interest rates, a paradox explained by the long shadow of the 2008 financial crisis.
This research investigates the factors that drive stock prices and investor behavior, emphasizing that understanding market dynamics and sentiment is crucial for informed investing.
This study integrates consumer sentiment into models of US consumption, finding that while "animal spirits" matter, their effect is nuanced and intertwined with objective economic factors.
Using player statistics and salary cap rules, this analysis built a model to estimate fair NBA salaries, concluding that stars like Nikola Jokić are often underpaid relative to their value.
A high-altitude balloon experiment measured cosmic muon counts. The data closely matched predictions that included time dilation, providing strong experimental support for Einstein's theory of relativity.
This research traces the influence of the culturally diverse Bamiyan Caves on China's Yungang Grottoes, highlighting geography and inclusive policies as key drivers of historical cultural exchange.
This paper explores the origins of detective fiction in the 19th century, linking its popularity to social changes like the rise of the middle class and the spread of periodicals.
This report reviews the advantages of Quantum Dot Luminescent Solar Concentrators (QD-LSCs), a technology that can increase solar cell efficiency, and discusses future challenges.
This paper outlines the economic and social pressures created by China's rapidly aging population, including a strained workforce and inadequate elderly care infrastructure.
This study critiques the shift to online STEM education and proposes strategies for improving course design, digital tool use, and student engagement in virtual learning environments.
Through the failure of Evergrande EV, this paper argues that a firm's ability to innovate depends on its "absorptive capacity," not merely the number of patents it acquires.
This essay examines how Thomas Paine's book defended the French Revolution, inspired British workers to fight for democratic rights, and influenced modern democratic societies.
By analyzing the CFTR gene across species, this study found that disease-causing mutations in humans cluster in evolutionarily conserved regions, offering a new way to predict harmful mutations.
This project used a radio telescope to collect 21cm wavelength data from the Milky Way. The data was analyzed with Python to map hydrogen distribution and calculate the galaxy's rotation curve.
This project took a unique classical approach (instead of quantum) to simulate electron collisions in electromagnetic fields, creating a customizable Python model for other researchers to use.
3,000+ distinguished faculty and industry experts from world-leading institutions
As a sociologist, I see research as fundamental training for the mind. Scholar Spark teaches students how to think—not what to think. It empowers them to analyze complex issues, build evidence-based arguments, and contribute meaningfully to any field they choose. This isn't just about academic success; it's about cultivating intellectual independence.
Teaching in this program is highly rewarding. Students show strong dedication and a solid grasp of college-level concepts. I look forward to continuing to grow with them and witnessing their significant development.
My courses use a dynamic, project-based approach. Students tackle real-world challenges, which cultivates their creativity, discipline, and critical thinking. They benefit from a unique blend of rigorous academics and professional-level experience.
This research program helps students develop critical thinking and analytical rigor. They learn to investigate complex, real-world issues, building academic habits and confidence for future university study and beyond.
Through a five-decade, multi-country study, this research challenges standard financial theories by identifying an interest rate-housing price anomaly. It demonstrates expertise in macroeconomic modeling and statistical analysis—processing longitudinal datasets, using regression to uncover paradoxical correlations, and constructing a theoretical framework. Key strengths include rigorous cross-economy comparison and analysis of monetary policy limitations.
This research models two-electron collisions in a saddle potential under a magnetic field. It demonstrates advanced competency by deriving equations of motion and developing a custom Python simulation that replicates complex experimental results. Key skills include integrating electromagnetism with computational physics, applying numerical methods to solve differential equations, and performing parameter sensitivity analysis.
Transform your ideas into impactful research. Join a global community of scholars driving change.
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